A B C D E F G H I J K L M N O P Q R S T U V W Z

A

AbstractBooleanPrefJDBCDataModel - Class in org.apache.mahout.cf.taste.impl.model.jdbc
 
AbstractBooleanPrefJDBCDataModel(DataSource, String, String, String, String, String, String, String, String, String, String, String, String, String, String, String, String) - Constructor for class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractBooleanPrefJDBCDataModel
 
AbstractIDMigrator - Class in org.apache.mahout.cf.taste.impl.model
 
AbstractIDMigrator() - Constructor for class org.apache.mahout.cf.taste.impl.model.AbstractIDMigrator
 
AbstractJDBCComponent - Class in org.apache.mahout.cf.taste.impl.common.jdbc
A helper class with common elements for several JDBC-related components.
AbstractJDBCComponent() - Constructor for class org.apache.mahout.cf.taste.impl.common.jdbc.AbstractJDBCComponent
 
AbstractJDBCDataModel - Class in org.apache.mahout.cf.taste.impl.model.jdbc
An abstract superclass for JDBC-related DataModel implementations, providing most of the common functionality that any such implementation would need.
AbstractJDBCDataModel(DataSource, String, String, String, String, String, String, String, String, String, String, String, String) - Constructor for class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
 
AbstractJDBCDataModel(DataSource, String, String, String, String, String, String, String, String, String, String, String, String, String, String, String, String) - Constructor for class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
 
AbstractJDBCDiffStorage - Class in org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc
A DiffStorage which stores diffs in a database.
AbstractJDBCDiffStorage(JDBCDataModel, String, String, String, String[], String[], String, String, String, String, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc.AbstractJDBCDiffStorage
 
AbstractJDBCIDMigrator - Class in org.apache.mahout.cf.taste.impl.model
Implementation which stores the reverse long-to-String mapping in a database.
AbstractJDBCIDMigrator(DataSource, String, String) - Constructor for class org.apache.mahout.cf.taste.impl.model.AbstractJDBCIDMigrator
 
AbstractJDBCItemSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity.jdbc
An ItemSimilarity which draws pre-computed item-item similarities from a database table via JDBC.
AbstractJDBCItemSimilarity(DataSource, String) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.jdbc.AbstractJDBCItemSimilarity
 
AbstractJDBCItemSimilarity(DataSource, String, String, String, String, String) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.jdbc.AbstractJDBCItemSimilarity
 
AbstractJob - Class in org.apache.mahout.cf.taste.hadoop
 
AbstractJob() - Constructor for class org.apache.mahout.cf.taste.hadoop.AbstractJob
 
AbstractLongPrimitiveIterator - Class in org.apache.mahout.cf.taste.impl.common
 
AbstractLongPrimitiveIterator() - Constructor for class org.apache.mahout.cf.taste.impl.common.AbstractLongPrimitiveIterator
 
AbstractParameter<T> - Class in org.apache.mahout.common.parameters
 
AbstractParameter(Class<T>, String, String, Configuration, T, String) - Constructor for class org.apache.mahout.common.parameters.AbstractParameter
 
AbstractRecommender - Class in org.apache.mahout.cf.taste.impl.recommender
 
AbstractRecommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender
 
add(long) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
 
add(int, SoftCluster, double) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansOutput
 
add(Integer) - Method in class org.apache.mahout.common.IntegerTuple
add an entry to the end of the list
add(String) - Method in class org.apache.mahout.common.StringTuple
add an entry to the end of the list
add(int[], int[]) - Static method in class org.apache.mahout.df.data.DataUtils
foreach i : array1[i] += array2[i]
add(int, long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
 
addable(long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FrequentPatternMaxHeap
 
addAll(long[]) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
 
addAll(FastIDSet) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
 
addAll(FrequentPatternMaxHeap, int, long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FrequentPatternMaxHeap
 
addChild(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
addChild(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
 
addCount(int, long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
addCount(int, long) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
 
addDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.CompactRunningAverage
 
addDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.CompactRunningAverageAndStdDev
 
addDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverage
 
addDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev
 
addDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverage
 
addDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev
 
addDatum(double) - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverage
 
addDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
 
addDatum(double, double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
 
addDelta(Vector) - Method in class org.apache.mahout.classifier.discriminative.LinearModel
Update the hyperplane by adding delta.
addDependency(Refreshable) - Method in class org.apache.mahout.cf.taste.impl.common.RefreshHelper
Add a dependency to be refreshed first when the encapsulating object does.
addHeaderCount(int, long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
addHeaderNext(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
addInstance(String, ClassifierResult) - Method in class org.apache.mahout.classifier.ConfusionMatrix
 
addInstance(String, String) - Method in class org.apache.mahout.classifier.ConfusionMatrix
 
addInstance(String, ClassifierResult) - Method in class org.apache.mahout.classifier.ResultAnalyzer
 
addPattern(List<Integer>, long) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
 
addPoint(Vector) - Method in class org.apache.mahout.clustering.canopy.Canopy
Add a point to the canopy
addPoint(Vector, double) - Method in class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
Add the point to the SoftCluster
addPoint(Vector) - Method in class org.apache.mahout.clustering.kmeans.Cluster
Add the point to the cluster
addPoints(Vector, double) - Method in class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
Add the point to the cluster
addPoints(int, Vector) - Method in class org.apache.mahout.clustering.kmeans.Cluster
Add the point to the cluster
addPointToCanopies(Vector, List<Canopy>, Reporter) - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer
This is the same algorithm as the reference but inverted to iterate over existing canopies instead of the points.
adjustedProbability(O, int) - Method in class org.apache.mahout.clustering.dirichlet.DirichletState
return the adjusted probability that x is described by the kth model
advanceResultSet(ResultSet, int) - Method in class org.apache.mahout.cf.taste.impl.common.jdbc.AbstractJDBCComponent
 
advanceResultSet(ResultSet, int) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.MySQLBooleanPrefJDBCDataModel
 
advanceResultSet(ResultSet, int) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.MySQLJDBCDataModel
 
AggregatorMapper - Class in org.apache.mahout.fpm.pfpgrowth
outputs the pattern for each item in the pattern, so that reducer can group them and select the top K frequent patterns
AggregatorMapper() - Constructor for class org.apache.mahout.fpm.pfpgrowth.AggregatorMapper
 
AggregatorReducer - Class in org.apache.mahout.fpm.pfpgrowth
groups all Frequent Patterns containing an item and outputs the top K patterns containing that particular item
AggregatorReducer() - Constructor for class org.apache.mahout.fpm.pfpgrowth.AggregatorReducer
 
Algorithm - Interface in org.apache.mahout.classifier.bayes.interfaces
The algorithm interface for implementing variations of bayes Algorithm
ALPHA_0_KEY - Static variable in class org.apache.mahout.clustering.dirichlet.DirichletDriver
 
ALPHA_SMOOTHING_FACTOR - Static variable in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesConstants
 
ArrayIterator<T> - Class in org.apache.mahout.common.iterator
Simple, fast Iterator for an array.
ArrayIterator(T[]) - Constructor for class org.apache.mahout.common.iterator.ArrayIterator
Creates an over an entire array.
asFormatString() - Method in class org.apache.mahout.clustering.canopy.Canopy
 
asFormatString() - Method in class org.apache.mahout.clustering.ClusterBase
Deprecated.  
asFormatString(String[]) - Method in class org.apache.mahout.clustering.ClusterBase
 
asFormatString(String[]) - Method in class org.apache.mahout.clustering.dirichlet.DirichletCluster
 
asFormatString(String[]) - Method in class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalModel
 
asFormatString(String[]) - Method in class org.apache.mahout.clustering.dirichlet.models.L1Model
 
asFormatString(String[]) - Method in class org.apache.mahout.clustering.dirichlet.models.NormalModel
 
asFormatString(String[]) - Method in class org.apache.mahout.clustering.dirichlet.models.SampledNormalModel
 
asFormatString() - Method in class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
 
asFormatString() - Method in class org.apache.mahout.clustering.kmeans.Cluster
 
asFormatString() - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopy
 
asFormatString(String[]) - Method in interface org.apache.mahout.clustering.Printable
Produce a custom, printable representation of the receiver.
asJsonString() - Method in class org.apache.mahout.clustering.ClusterBase
 
asJsonString() - Method in class org.apache.mahout.clustering.dirichlet.DirichletCluster
 
asJsonString() - Method in class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalModel
 
asJsonString() - Method in class org.apache.mahout.clustering.dirichlet.models.L1Model
 
asJsonString() - Method in class org.apache.mahout.clustering.dirichlet.models.NormalModel
 
asJsonString() - Method in interface org.apache.mahout.clustering.Printable
Produce a printable representation of the receiver using Json.
AsymmetricSampledNormalDistribution - Class in org.apache.mahout.clustering.dirichlet.models
An implementation of the ModelDistribution interface suitable for testing the DirichletCluster algorithm.
AsymmetricSampledNormalDistribution() - Constructor for class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalDistribution
 
AsymmetricSampledNormalDistribution(VectorWritable) - Constructor for class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalDistribution
 
AsymmetricSampledNormalModel - Class in org.apache.mahout.clustering.dirichlet.models
 
AsymmetricSampledNormalModel() - Constructor for class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalModel
 
AsymmetricSampledNormalModel(Vector, Vector) - Constructor for class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalModel
 
attr - Variable in class org.apache.mahout.df.split.Split
attribute to split for
attribute(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
attribute(int) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
 
AverageAbsoluteDifferenceRecommenderEvaluator - Class in org.apache.mahout.cf.taste.impl.eval
A RecommenderEvaluator which computes the average absolute difference between predicted and actual ratings for users.
AverageAbsoluteDifferenceRecommenderEvaluator() - Constructor for class org.apache.mahout.cf.taste.impl.eval.AverageAbsoluteDifferenceRecommenderEvaluator
 
AveragingPreferenceInferrer - Class in org.apache.mahout.cf.taste.impl.similarity
Implementations of this interface compute an inferred preference for a user and an item that the user has not expressed any preference for.
AveragingPreferenceInferrer(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.AveragingPreferenceInferrer
 

B

Bagging - Class in org.apache.mahout.df
Builds a tree using bagging
Bagging(TreeBuilder, Data) - Constructor for class org.apache.mahout.df.Bagging
 
bagging(Random) - Method in class org.apache.mahout.df.data.Data
if data has N cases, sample N cases at random -but with replacement.
bagging(Random, boolean[]) - Method in class org.apache.mahout.df.data.Data
if data has N cases, sample N cases at random -but with replacement.
BayesAlgorithm - Class in org.apache.mahout.classifier.bayes.algorithm
Class implementing the Naive Bayes Classifier Algorithm
BayesAlgorithm() - Constructor for class org.apache.mahout.classifier.bayes.algorithm.BayesAlgorithm
 
BayesClassifierDriver - Class in org.apache.mahout.classifier.bayes.mapreduce.bayes
Create and run the Bayes Classifier
BayesClassifierMapper - Class in org.apache.mahout.classifier.bayes.mapreduce.bayes
Reads the input train set(preprocessed using the BayesFileFormatter).
BayesClassifierMapper() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesClassifierMapper
 
BayesClassifierReducer - Class in org.apache.mahout.classifier.bayes.mapreduce.bayes
Can also be used as a local Combiner.
BayesClassifierReducer() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesClassifierReducer
 
BayesConstants - Class in org.apache.mahout.classifier.bayes.mapreduce.common
Class containing Constants used by Naive Bayes classifier classes
BayesDriver - Class in org.apache.mahout.classifier.bayes.mapreduce.bayes
Create and run the Bayes Trainer.
BayesDriver() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesDriver
 
BayesFeatureDriver - Class in org.apache.mahout.classifier.bayes.mapreduce.common
Create and run the Bayes Feature Reader Step.
BayesFeatureDriver() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureDriver
 
BayesFeatureMapper - Class in org.apache.mahout.classifier.bayes.mapreduce.common
Reads the input train set(preprocessed using the BayesFileFormatter).
BayesFeatureMapper() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureMapper
 
BayesFeatureMapper.IteratorTokenStream - Class in org.apache.mahout.classifier.bayes.mapreduce.common
Used to emit tokens from an input string array in the style of TokenStream
BayesFeatureMapper.IteratorTokenStream(Iterator<String>) - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureMapper.IteratorTokenStream
 
BayesFeatureOutputFormat - Class in org.apache.mahout.classifier.bayes.mapreduce.common
This class extends the MultipleOutputFormat, allowing to write the output data to different output files in sequence file output format.
BayesFeatureOutputFormat() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureOutputFormat
 
BayesFeatureReducer - Class in org.apache.mahout.classifier.bayes.mapreduce.common
Can also be used as a local Combiner.
BayesFeatureReducer() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureReducer
 
BayesFileFormatter - Class in org.apache.mahout.classifier
Flatten a file into format that can be read by the Bayes M/R job.
BayesJob - Interface in org.apache.mahout.classifier.bayes.mapreduce.common
Implementors of this interface provide a way for running bayes training jobs on a hadoop cluster.
BayesParameters - Class in org.apache.mahout.classifier.bayes.common
BayesParameter used for passing parameters to the Map/Reduce Jobs parameters include gramSize,
BayesParameters(int) - Constructor for class org.apache.mahout.classifier.bayes.common.BayesParameters
 
BayesTfIdfDriver - Class in org.apache.mahout.classifier.bayes.mapreduce.common
The Driver which drives the Tf-Idf Generation
BayesTfIdfDriver() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.common.BayesTfIdfDriver
 
BayesTfIdfMapper - Class in org.apache.mahout.classifier.bayes.mapreduce.common
Naive Bayes Tfidf Mapper.
BayesTfIdfMapper() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.common.BayesTfIdfMapper
 
BayesTfIdfOutputFormat - Class in org.apache.mahout.classifier.bayes.mapreduce.common
This class extends the MultipleOutputFormat, allowing to write the output data to different output files in sequence file output format.
BayesTfIdfOutputFormat() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.common.BayesTfIdfOutputFormat
 
BayesTfIdfReducer - Class in org.apache.mahout.classifier.bayes.mapreduce.common
Can also be used as a local Combiner beacuse only two values should be there inside the values
BayesTfIdfReducer() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.common.BayesTfIdfReducer
 
BayesThetaNormalizerDriver - Class in org.apache.mahout.classifier.bayes.mapreduce.bayes
Create and run the Bayes Theta Normalization Step.
BayesThetaNormalizerDriver() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesThetaNormalizerDriver
 
BayesThetaNormalizerMapper - Class in org.apache.mahout.classifier.bayes.mapreduce.bayes
Mapper for Calculating the ThetaNormalizer for a label in Naive Bayes Algorithm
BayesThetaNormalizerMapper() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesThetaNormalizerMapper
 
BayesThetaNormalizerReducer - Class in org.apache.mahout.classifier.bayes.mapreduce.bayes
Can also be used as a local Combiner beacuse only two values should be there inside the values
BayesThetaNormalizerReducer() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesThetaNormalizerReducer
 
BayesWeightSummerDriver - Class in org.apache.mahout.classifier.bayes.mapreduce.common
Create and run the Bayes Trainer.
BayesWeightSummerDriver() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.common.BayesWeightSummerDriver
 
BayesWeightSummerMapper - Class in org.apache.mahout.classifier.bayes.mapreduce.common
Calculates weight sum for a unique label, and feature
BayesWeightSummerMapper() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.common.BayesWeightSummerMapper
 
BayesWeightSummerOutputFormat - Class in org.apache.mahout.classifier.bayes.mapreduce.common
This class extends the MultipleOutputFormat, allowing to write the output data to different output files in sequence file output format.
BayesWeightSummerOutputFormat() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.common.BayesWeightSummerOutputFormat
 
BayesWeightSummerReducer - Class in org.apache.mahout.classifier.bayes.mapreduce.common
Can also be used as a local Combiner
BayesWeightSummerReducer() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.common.BayesWeightSummerReducer
 
Bigram - Class in org.apache.mahout.cf.taste.hadoop.cooccurence
 
Bigram() - Constructor for class org.apache.mahout.cf.taste.hadoop.cooccurence.Bigram
 
Bigram(Bigram) - Constructor for class org.apache.mahout.cf.taste.hadoop.cooccurence.Bigram
 
Bigram(int, int) - Constructor for class org.apache.mahout.cf.taste.hadoop.cooccurence.Bigram
 
Bigram.Comparator - Class in org.apache.mahout.cf.taste.hadoop.cooccurence
A Comparator that compares serialized Bigrams.
Bigram.Comparator() - Constructor for class org.apache.mahout.cf.taste.hadoop.cooccurence.Bigram.Comparator
 
Bigram.FirstGroupingComparator - Class in org.apache.mahout.cf.taste.hadoop.cooccurence
Compare only the first part of the bigram, so that reduce is called once for each value of the first part.
Bigram.FirstGroupingComparator() - Constructor for class org.apache.mahout.cf.taste.hadoop.cooccurence.Bigram.FirstGroupingComparator
 
Bigram.Frequency - Class in org.apache.mahout.cf.taste.hadoop.cooccurence
A wrapper class that associates pairs with frequency (Occurences)
Bigram.Frequency(Bigram, double) - Constructor for class org.apache.mahout.cf.taste.hadoop.cooccurence.Bigram.Frequency
 
BooleanItemPreferenceArray - Class in org.apache.mahout.cf.taste.impl.model
Like BooleanUserPreferenceArray but stores preferences for one item (all item IDs the same) rather than one user.
BooleanItemPreferenceArray(int) - Constructor for class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
 
BooleanItemPreferenceArray(List<Preference>, boolean) - Constructor for class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
 
BooleanPreference - Class in org.apache.mahout.cf.taste.impl.model
Encapsulates a simple boolean "preference" for an item whose value does not matter (is fixed at 1.0).
BooleanPreference(long, long) - Constructor for class org.apache.mahout.cf.taste.impl.model.BooleanPreference
 
BooleanUserPreferenceArray - Class in org.apache.mahout.cf.taste.impl.model
Like GenericUserPreferenceArray but stores, conceptually, BooleanPreference objects which have no associated preference value.
BooleanUserPreferenceArray(int) - Constructor for class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
 
BooleanUserPreferenceArray(List<Preference>) - Constructor for class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
 
build(int, Random, PredictionCallback) - Method in class org.apache.mahout.df.Bagging
Builds one tree
build(Random, Data) - Method in class org.apache.mahout.df.builder.DefaultTreeBuilder
 
build(Random, Data) - Method in interface org.apache.mahout.df.builder.TreeBuilder
Builds a Decision tree using the training data
build(int, PredictionCallback) - Method in class org.apache.mahout.df.mapred.Builder
 
build(int, PredictionCallback) - Method in class org.apache.mahout.df.mapreduce.Builder
 
build(int, PredictionCallback) - Method in class org.apache.mahout.df.ref.SequentialBuilder
 
buildDataModel(FastByIDMap<PreferenceArray>) - Method in interface org.apache.mahout.cf.taste.eval.DataModelBuilder
Builds a DataModel implementation to be used in an evaluation, given training data.
Builder - Class in org.apache.mahout.df.mapred
Base class for Mapred DecisionForest builders.
Builder(TreeBuilder, Path, Path, Long, Configuration) - Constructor for class org.apache.mahout.df.mapred.Builder
 
Builder - Class in org.apache.mahout.df.mapreduce
Base class for Mapred DecisionForest builders.
Builder(TreeBuilder, Path, Path, Long, Configuration) - Constructor for class org.apache.mahout.df.mapreduce.Builder
 
buildModel() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
 
buildOption(String, String, String) - Static method in class org.apache.mahout.cf.taste.hadoop.AbstractJob
 
buildOption(String, String, String, String) - Static method in class org.apache.mahout.cf.taste.hadoop.AbstractJob
 
buildPreference(ResultSet) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractBooleanPrefJDBCDataModel
 
buildPreference(ResultSet) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
 
buildRandom(String, String, int) - Static method in class org.apache.mahout.clustering.kmeans.RandomSeedGenerator
 
buildRecommender(DataModel) - Method in interface org.apache.mahout.cf.taste.eval.RecommenderBuilder
Builds a Recommender implementation to be evaluated, using the given DataModel.
buildRefreshed(Collection<Refreshable>) - Static method in class org.apache.mahout.cf.taste.impl.common.RefreshHelper
Creates a new and empty Collection if the method parameter is null.
buildTransposeJobConf(Path, Path, int) - Static method in class org.apache.mahout.math.hadoop.TransposeJob
 
ByScoreLabelResultComparator - Class in org.apache.mahout.classifier.bayes.common
Compare two results of classification and return the lowest valued one
ByScoreLabelResultComparator() - Constructor for class org.apache.mahout.classifier.bayes.common.ByScoreLabelResultComparator
 

C

Cache<K,V> - Class in org.apache.mahout.cf.taste.impl.common
An efficient Map-like class which caches values for keys.
Cache(Retriever<? super K, ? extends V>) - Constructor for class org.apache.mahout.cf.taste.impl.common.Cache
Creates a new cache based on the given Retriever.
Cache(Retriever<? super K, ? extends V>, int) - Constructor for class org.apache.mahout.cf.taste.impl.common.Cache
Creates a new cache based on the given Retriever and with given maximum size.
Cache<K,V> - Interface in org.apache.mahout.common.cache
 
CachingItemSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
Caches the results from an underlying ItemSimilarity implementation.
CachingItemSimilarity(ItemSimilarity, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.CachingItemSimilarity
 
CachingRecommender - Class in org.apache.mahout.cf.taste.impl.recommender
A Recommender which caches the results from another Recommender in memory.
CachingRecommender(Recommender) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
 
CachingUserNeighborhood - Class in org.apache.mahout.cf.taste.impl.neighborhood
A caching wrapper around an underlying UserNeighborhood implementation.
CachingUserNeighborhood(UserNeighborhood, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.neighborhood.CachingUserNeighborhood
 
CachingUserSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
Caches the results from an underlying UserSimilarity implementation.
CachingUserSimilarity(UserSimilarity, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.CachingUserSimilarity
 
calculateCentroids(List<Canopy>) - Static method in class org.apache.mahout.clustering.canopy.CanopyClusterer
Iterate through the canopies, adding their centroids to a list
Canopy - Class in org.apache.mahout.clustering.canopy
This class models a canopy as a center point, the number of points that are contained within it according to the application of some distance metric, and a point total which is the sum of all the points and is used to compute the centroid when needed.
Canopy() - Constructor for class org.apache.mahout.clustering.canopy.Canopy
Used for deserializaztion as a writable
Canopy(Vector, int) - Constructor for class org.apache.mahout.clustering.canopy.Canopy
Create a new Canopy containing the given point and canopyId
CANOPY_PATH_KEY - Static variable in interface org.apache.mahout.clustering.canopy.CanopyConfigKeys
 
CanopyClusterer - Class in org.apache.mahout.clustering.canopy
 
CanopyClusterer(DistanceMeasure, double, double) - Constructor for class org.apache.mahout.clustering.canopy.CanopyClusterer
 
CanopyClusterer(JobConf) - Constructor for class org.apache.mahout.clustering.canopy.CanopyClusterer
 
CanopyClusteringJob - Class in org.apache.mahout.clustering.canopy
Runs the CanopyDriver.runJob(String, String, String, double, double) and then ClusterDriver.runJob(String, String, String, String, double, double) .
CanopyConfigKeys - Interface in org.apache.mahout.clustering.canopy
 
canopyCovers(Canopy, Vector) - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer
Return if the point is covered by the canopy
canopyCovers(Canopy, Vector) - Method in class org.apache.mahout.clustering.canopy.ClusterMapper
 
CanopyDriver - Class in org.apache.mahout.clustering.canopy
 
CanopyMapper - Class in org.apache.mahout.clustering.canopy
 
CanopyMapper() - Constructor for class org.apache.mahout.clustering.canopy.CanopyMapper
 
CanopyReducer - Class in org.apache.mahout.clustering.canopy
 
CanopyReducer() - Constructor for class org.apache.mahout.clustering.canopy.CanopyReducer
 
capacity() - Method in interface org.apache.mahout.common.cache.Cache
returns the total capacity of the cache defined at contruction time
capacity() - Method in class org.apache.mahout.common.cache.HybridCache
 
capacity() - Method in class org.apache.mahout.common.cache.LeastKCache
 
capacity() - Method in class org.apache.mahout.common.cache.LFUCache
 
capacity() - Method in class org.apache.mahout.common.cache.LRUCache
 
CaseAmplification - Class in org.apache.mahout.cf.taste.impl.transforms
Applies "case amplification" to similarities.
CaseAmplification(double) - Constructor for class org.apache.mahout.cf.taste.impl.transforms.CaseAmplification
Creates a transformation based on the given factor.
categoricalIg(Data, int) - Method in class org.apache.mahout.df.split.DefaultIgSplit
Computes the Information Gain for a CATEGORICAL attribute
CategoricalNode - Class in org.apache.mahout.df.node
 
CategoricalNode() - Constructor for class org.apache.mahout.df.node.CategoricalNode
 
CategoricalNode(int, double[], Node[]) - Constructor for class org.apache.mahout.df.node.CategoricalNode
 
CBayesAlgorithm - Class in org.apache.mahout.classifier.bayes.algorithm
Class implementing the Complementary Naive Bayes Classifier Algorithm
CBayesAlgorithm() - Constructor for class org.apache.mahout.classifier.bayes.algorithm.CBayesAlgorithm
 
CBayesDriver - Class in org.apache.mahout.classifier.bayes.mapreduce.cbayes
Create and run the Bayes Trainer.
CBayesDriver() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.cbayes.CBayesDriver
 
CBayesThetaNormalizerDriver - Class in org.apache.mahout.classifier.bayes.mapreduce.cbayes
Create and run the Bayes Trainer.
CBayesThetaNormalizerDriver() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.cbayes.CBayesThetaNormalizerDriver
 
CBayesThetaNormalizerMapper - Class in org.apache.mahout.classifier.bayes.mapreduce.cbayes
Mapper for Calculating the ThetaNormalizer for a label in Naive Bayes Algorithm
CBayesThetaNormalizerMapper() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.cbayes.CBayesThetaNormalizerMapper
 
CBayesThetaNormalizerReducer - Class in org.apache.mahout.classifier.bayes.mapreduce.cbayes
Can also be used as a local Combiner beacuse only two values should be there inside the values
CBayesThetaNormalizerReducer() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.cbayes.CBayesThetaNormalizerReducer
 
changeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.CompactRunningAverage
 
changeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.CompactRunningAverageAndStdDev
 
changeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverage
 
changeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev
 
changeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverage
 
changeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev
 
changeDatum(double) - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverage
 
changeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
 
changeDatum(double, double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
 
checkNotNullAndLog(String, Object) - Static method in class org.apache.mahout.cf.taste.impl.common.jdbc.AbstractJDBCComponent
 
checkNotNullAndLog(String, Object[]) - Static method in class org.apache.mahout.cf.taste.impl.common.jdbc.AbstractJDBCComponent
 
childAtIndex(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
childAtIndex(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
 
childCount(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
childCount() - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
 
childCount(int) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
 
childWithAttribute(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
childWithAttribute(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
 
CHOOSE_THRESHOLD - Static variable in class org.apache.mahout.cf.taste.impl.eval.GenericRecommenderIRStatsEvaluator
Pass as "relevanceThreshold" argument to GenericRecommenderIRStatsEvaluator.evaluate(RecommenderBuilder, DataModelBuilder, DataModel, IDRescorer, int, double, double) to have it attempt to compute a reasonable threshold.
chooseRandomPoints(List<Vector>, int) - Static method in class org.apache.mahout.clustering.kmeans.RandomSeedGenerator
 
CLASSIFIER_TUPLE - Static variable in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesConstants
 
ClassifierContext - Class in org.apache.mahout.classifier.bayes.model
The Classifier Wrapper used for choosing the Algorithm and Datastore
ClassifierContext(Algorithm, Datastore) - Constructor for class org.apache.mahout.classifier.bayes.model.ClassifierContext
 
ClassifierResult - Class in org.apache.mahout.classifier
Result of a Document Classification.
ClassifierResult() - Constructor for class org.apache.mahout.classifier.ClassifierResult
 
ClassifierResult(String, double) - Constructor for class org.apache.mahout.classifier.ClassifierResult
 
ClassifierResult(String) - Constructor for class org.apache.mahout.classifier.ClassifierResult
 
Classify - Class in org.apache.mahout.classifier
Runs the Bayes classifier using the given model location(HDFS/HBASE)
classify(Vector) - Method in class org.apache.mahout.classifier.discriminative.LinearModel
Classify a point to either belong to the class modeled by this linear model or not.
classify(Data, PredictionCallback) - Method in class org.apache.mahout.df.DecisionForest
Classifies the data and calls callback for each classification
classify(Random, Instance) - Method in class org.apache.mahout.df.DecisionForest
predicts the label for the instance
classify(Instance) - Method in class org.apache.mahout.df.node.CategoricalNode
 
classify(Instance) - Method in class org.apache.mahout.df.node.Leaf
 
classify(Instance) - Method in class org.apache.mahout.df.node.MockLeaf
 
classify(Instance) - Method in class org.apache.mahout.df.node.Node
predicts the label for the instance
classify(Instance) - Method in class org.apache.mahout.df.node.NumericalNode
 
classifyDocument(String[], Datastore, String) - Method in class org.apache.mahout.classifier.bayes.algorithm.BayesAlgorithm
 
classifyDocument(String[], Datastore, String, int) - Method in class org.apache.mahout.classifier.bayes.algorithm.BayesAlgorithm
 
classifyDocument(String[], Datastore, String) - Method in class org.apache.mahout.classifier.bayes.algorithm.CBayesAlgorithm
 
classifyDocument(String[], Datastore, String, int) - Method in class org.apache.mahout.classifier.bayes.algorithm.CBayesAlgorithm
 
classifyDocument(String[], Datastore, String) - Method in interface org.apache.mahout.classifier.bayes.interfaces.Algorithm
Classify the document and return the Result
classifyDocument(String[], Datastore, String, int) - Method in interface org.apache.mahout.classifier.bayes.interfaces.Algorithm
Classify the document and return the top numResults
classifyDocument(String[], String) - Method in class org.apache.mahout.classifier.bayes.model.ClassifierContext
Classify the document and return the Result
classifyDocument(String[], String, int) - Method in class org.apache.mahout.classifier.bayes.model.ClassifierContext
Classify the document and return the top numResults
classifyParallel(BayesParameters) - Static method in class org.apache.mahout.classifier.bayes.TestClassifier
 
classifySequential(BayesParameters) - Static method in class org.apache.mahout.classifier.bayes.TestClassifier
 
ClassParameter - Class in org.apache.mahout.common.parameters
 
ClassParameter(String, String, JobConf, Class<?>, String) - Constructor for class org.apache.mahout.common.parameters.ClassParameter
 
cleanup(Mapper<LongWritable, Text, IntWritable, Step0Job.Step0Output>.Context) - Method in class org.apache.mahout.df.mapreduce.partial.Step0Job.Step0Mapper
 
cleanup(Mapper<LongWritable, Text, TreeID, MapredOutput>.Context) - Method in class org.apache.mahout.df.mapreduce.partial.Step1Mapper
 
cleanup(Mapper<LongWritable, Text, TreeID, MapredOutput>.Context) - Method in class org.apache.mahout.df.mapreduce.partial.Step2Mapper
 
clear() - Method in class org.apache.mahout.cf.taste.impl.common.Cache
Clears the cache.
clear() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
 
clear() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
 
clear() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
 
clear(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
Clears cached recommendations for the given user.
clear() - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
Clears all cached recommendations.
clear() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
clearConditional() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
clone() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
 
clone() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
 
clone() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
 
clone() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
 
clone() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
 
clone() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
 
clone() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
 
clone() - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
 
clone() - Method in class org.apache.mahout.common.IntPairWritable
 
clone() - Method in class org.apache.mahout.df.data.Data
 
clone() - Method in class org.apache.mahout.df.mapred.partial.Step0Job.Step0Output
 
clone() - Method in class org.apache.mahout.df.mapreduce.MapredOutput
 
clone() - Method in class org.apache.mahout.df.mapreduce.partial.Step0Job.Step0Output
 
clone() - Method in class org.apache.mahout.df.mapreduce.partial.TreeID
 
close() - Method in class org.apache.mahout.cf.taste.hadoop.item.RecommenderMapper
 
close() - Method in class org.apache.mahout.cf.taste.hadoop.MapFilesMap
 
close() - Method in class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesThetaNormalizerReducer
 
close() - Method in class org.apache.mahout.classifier.bayes.mapreduce.cbayes.CBayesThetaNormalizerReducer
 
close() - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesTfIdfReducer
 
close() - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesWeightSummerReducer
 
close() - Method in class org.apache.mahout.clustering.canopy.CanopyMapper
 
close() - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyMapper
 
close() - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyReducer
 
close() - Method in class org.apache.mahout.common.FileLineIterator
 
close() - Method in class org.apache.mahout.df.mapred.inmem.InMemInputFormat.InMemRecordReader
 
close() - Method in class org.apache.mahout.df.mapred.partial.Step1Mapper
 
close() - Method in class org.apache.mahout.df.mapred.partial.Step2Mapper
 
close() - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader
 
close() - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesSquaredMapper
 
closelyBound(MeanShiftCanopy, Vector) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyClusterer
Return if the point is closely covered by the canopy
cluster(int) - Method in class org.apache.mahout.clustering.dirichlet.DirichletClusterer
Iterate over the sample data, obtaining cluster samples periodically and returning them.
Cluster - Class in org.apache.mahout.clustering.kmeans
 
Cluster(Vector) - Constructor for class org.apache.mahout.clustering.kmeans.Cluster
Construct a new cluster with the given point as its center
Cluster() - Constructor for class org.apache.mahout.clustering.kmeans.Cluster
For (de)serialization as a Writable
Cluster(Vector, int) - Constructor for class org.apache.mahout.clustering.kmeans.Cluster
Construct a new cluster with the given point as its center
Cluster(String) - Constructor for class org.apache.mahout.clustering.kmeans.Cluster
Construct a new clsuter with the given id as identifier
CLUSTER_CONVERGENCE_KEY - Static variable in interface org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansConfigKeys
 
CLUSTER_CONVERGENCE_KEY - Static variable in interface org.apache.mahout.clustering.kmeans.KMeansConfigKeys
Configuration key for convergence threshold.
CLUSTER_CONVERGENCE_KEY - Static variable in interface org.apache.mahout.clustering.meanshift.MeanShiftCanopyConfigKeys
 
CLUSTER_PATH_KEY - Static variable in interface org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansConfigKeys
 
CLUSTER_PATH_KEY - Static variable in interface org.apache.mahout.clustering.kmeans.KMeansConfigKeys
Configuration key for ??
ClusterBase - Class in org.apache.mahout.clustering
 
ClusterBase() - Constructor for class org.apache.mahout.clustering.ClusterBase
 
ClusterDriver - Class in org.apache.mahout.clustering.canopy
 
ClusteringRecommender - Interface in org.apache.mahout.cf.taste.recommender
Interface implemented by "clustering" recommenders.
ClusterMapper - Class in org.apache.mahout.clustering.canopy
 
ClusterMapper() - Constructor for class org.apache.mahout.clustering.canopy.ClusterMapper
 
clusterPoints(List<Vector>, ModelDistribution<Vector>, double, int, int, int, int) - Static method in class org.apache.mahout.clustering.dirichlet.DirichletClusterer
Create a new instance on the sample data with the given additional parameters
clusterPoints(List<Vector>, List<SoftCluster>, DistanceMeasure, double, double, int) - Static method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer
This is the reference k-means implementation.
clusterPoints(List<Vector>, List<Cluster>, DistanceMeasure, int, double) - Static method in class org.apache.mahout.clustering.kmeans.KMeansClusterer
This is the reference k-means implementation.
clusterPoints(List<Vector>, DistanceMeasure, double, double, double, int) - Static method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyClusterer
This is the reference mean-shift implementation.
ClusterSimilarity - Interface in org.apache.mahout.cf.taste.impl.recommender
Returns the "similarity" between two clusters of users, according to some definition of similarity.
collapse(String, Analyzer, File, Charset, File) - Static method in class org.apache.mahout.classifier.BayesFileFormatter
Collapse all the files in the inputDir into a single file in the proper Bayes format, 1 document per line
collect(K, V) - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.ContextWriteOutputCollector
 
collect(Integer, List<Pair<List<Integer>, Long>>) - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.integer.IntegerStringOutputConverter
 
collect(K, V) - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.SequenceFileOutputCollector
 
collect(String, List<Pair<List<String>, Long>>) - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.string.StringOutputConverter
 
collect(Integer, FrequentPatternMaxHeap) - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.TopKPatternsOutputConverter
 
CommandLineUtil - Class in org.apache.mahout.common
 
CompactRunningAverage - Class in org.apache.mahout.cf.taste.impl.common
Like FullRunningAverage but uses smaller values (short, float) to conserve memory.
CompactRunningAverage() - Constructor for class org.apache.mahout.cf.taste.impl.common.CompactRunningAverage
 
CompactRunningAverageAndStdDev - Class in org.apache.mahout.cf.taste.impl.common
Extends CompactRunningAverage to add a running standard deviation computation.
CompactRunningAverageAndStdDev() - Constructor for class org.apache.mahout.cf.taste.impl.common.CompactRunningAverageAndStdDev
 
compare(byte[], int, int, byte[], int, int) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.Bigram.Comparator
Compare varibale length encoded numbers *
compare(byte[], int, int, byte[], int, int) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.Bigram.FirstGroupingComparator
 
compare(Object, Object) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.Bigram.FirstGroupingComparator
 
compare(ClassifierResult, ClassifierResult) - Method in class org.apache.mahout.classifier.bayes.common.ByScoreLabelResultComparator
 
compare(byte[], int, int, byte[], int, int) - Method in class org.apache.mahout.common.IntPairWritable.Comparator
 
compare(byte[], int, int, byte[], int, int) - Method in class org.apache.mahout.common.IntPairWritable.FirstGroupingComparator
 
compare(Object, Object) - Method in class org.apache.mahout.common.IntPairWritable.FirstGroupingComparator
 
compareTo(Bigram) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.Bigram
 
compareTo(Bigram.Frequency) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.Bigram.Frequency
 
compareTo(ItemItemWritable) - Method in class org.apache.mahout.cf.taste.hadoop.ItemItemWritable
 
compareTo(RecommendedItem) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericRecommendedItem
Defines a natural ordering from most-preferred item (highest value) to least-preferred.
compareTo(SimilarUser) - Method in class org.apache.mahout.cf.taste.impl.recommender.SimilarUser
Defines an ordering from most similar to least similar.
compareTo(GenericItemSimilarity.ItemItemSimilarity) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity
Defines an ordering from highest similarity to lowest.
compareTo(GenericUserSimilarity.UserUserSimilarity) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity
Defines an ordering from highest similarity to lowest.
compareTo(IntegerTuple) - Method in class org.apache.mahout.common.IntegerTuple
 
compareTo(BinaryComparable) - Method in class org.apache.mahout.common.IntPairWritable
 
compareTo(IntPairWritable.Frequency) - Method in class org.apache.mahout.common.IntPairWritable.Frequency
 
compareTo(LongPair) - Method in class org.apache.mahout.common.LongPair
 
compareTo(StringTuple) - Method in class org.apache.mahout.common.StringTuple
 
compareTo(Step0Job.Step0Output) - Method in class org.apache.mahout.df.mapred.partial.Step0Job.Step0Output
 
compareTo(Step0Job.Step0Output) - Method in class org.apache.mahout.df.mapreduce.partial.Step0Job.Step0Output
 
compareTo(Pattern) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
 
compareTo(DistributedRowMatrix.MatrixEntryWritable) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
 
CompositeParameter<T extends Parametered> - Class in org.apache.mahout.common.parameters
A placeholder for some sort of class with more parameters.
CompositeParameter(Class<T>, String, String, JobConf, T, String) - Constructor for class org.apache.mahout.common.parameters.CompositeParameter
 
computeCentroid() - Method in class org.apache.mahout.clustering.canopy.Canopy
Compute the centroid by averaging the pointTotals
computeCentroid() - Method in class org.apache.mahout.clustering.ClusterBase
 
computeCentroid() - Method in class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
Compute the centroid
computeCentroid() - Method in class org.apache.mahout.clustering.kmeans.Cluster
Compute the centroid by averaging the pointTotals
computeCentroid() - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopy
Compute the centroid by normalizing the pointTotal
computeConvergence(SoftCluster) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer
Return if the cluster is converged by comparing its center and centroid.
computeConvergence(DistanceMeasure, double) - Method in class org.apache.mahout.clustering.kmeans.Cluster
Return if the cluster is converged by comparing its center and centroid.
computeFrequencies(Data, int, double[]) - Method in class org.apache.mahout.df.split.OptIgSplit
 
computePairwiseInnerProducts() - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob
 
computeParameters() - Method in class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalModel
 
computeParameters() - Method in class org.apache.mahout.clustering.dirichlet.models.L1Model
 
computeParameters() - Method in interface org.apache.mahout.clustering.dirichlet.models.Model
Compute a new set of posterior parameters based upon the Observations that have been observed since my creation
computeParameters() - Method in class org.apache.mahout.clustering.dirichlet.models.NormalModel
 
computePredictions(Random) - Method in class org.apache.mahout.df.callback.ForestPredictions
compute the prediction for each instance.
computeProbWeight(double, List<Double>) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer
Computes the probability of a point belonging to a cluster
computeSplit(Data, int) - Method in class org.apache.mahout.df.split.DefaultIgSplit
 
computeSplit(Data, int) - Method in class org.apache.mahout.df.split.IgSplit
Computes the best split for the given attribute
computeSplit(Data, int) - Method in class org.apache.mahout.df.split.OptIgSplit
 
Condition - Class in org.apache.mahout.df.data.conditions
Condition on Instance
Condition() - Constructor for class org.apache.mahout.df.data.conditions.Condition
 
conditional(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
conf(Parametered) - Static method in class org.apache.mahout.common.parameters.Parametered.ParameteredGeneralizations
 
config(DistanceMeasure, double, double) - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer
Configure the Canopy for unit tests
config(List<Canopy>) - Method in class org.apache.mahout.clustering.canopy.ClusterMapper
Configure the mapper by providing its canopies.
config(List<SoftCluster>) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansReducer
 
config(List<Cluster>) - Method in class org.apache.mahout.clustering.kmeans.KMeansReducer
 
config(DistanceMeasure, double, double, double) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyClusterer
Configure the Canopy for unit tests
configure(JobConf) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.ItemBigramGenerator.UserItemMapper
 
configure(JobConf) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.ItemSimilarityEstimator.FirstPartitioner
 
configure(JobConf) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.ItemSimilarityEstimator.ItemItemReducer
 
configure(JobConf) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.UserItemJoiner.JoinUserMapper
 
configure(JobConf) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.UserItemRecommender.RecommenderReducer
 
configure(JobConf) - Method in class org.apache.mahout.cf.taste.hadoop.item.RecommenderMapper
 
configure(JobConf) - Method in class org.apache.mahout.cf.taste.hadoop.pseudo.RecommenderReducer
 
configure(JobConf) - Method in class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesClassifierMapper
 
configure(JobConf) - Method in class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesThetaNormalizerMapper
 
configure(JobConf) - Method in class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesThetaNormalizerReducer
 
configure(JobConf) - Method in class org.apache.mahout.classifier.bayes.mapreduce.cbayes.CBayesThetaNormalizerMapper
 
configure(JobConf) - Method in class org.apache.mahout.classifier.bayes.mapreduce.cbayes.CBayesThetaNormalizerReducer
 
configure(JobConf) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureMapper
 
configure(JobConf) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesTfIdfMapper
 
configure(JobConf) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesTfIdfReducer
 
configure(JobConf) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesWeightSummerReducer
 
configure(JobConf) - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer
Configure the Canopy and its distance measure
configure(JobConf) - Method in class org.apache.mahout.clustering.canopy.CanopyMapper
 
configure(JobConf) - Method in class org.apache.mahout.clustering.canopy.CanopyReducer
 
configure(JobConf) - Method in class org.apache.mahout.clustering.canopy.ClusterMapper
 
configure(DirichletState<VectorWritable>) - Method in class org.apache.mahout.clustering.dirichlet.DirichletMapper
 
configure(JobConf) - Method in class org.apache.mahout.clustering.dirichlet.DirichletMapper
 
configure(DirichletState<VectorWritable>) - Method in class org.apache.mahout.clustering.dirichlet.DirichletReducer
 
configure(JobConf) - Method in class org.apache.mahout.clustering.dirichlet.DirichletReducer
 
configure(JobConf) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterMapper
 
configure(JobConf) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansCombiner
 
configure(JobConf) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansMapper
 
configure(JobConf) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansReducer
 
configure(JobConf) - Method in class org.apache.mahout.clustering.kmeans.KMeansClusterMapper
 
configure(JobConf) - Method in class org.apache.mahout.clustering.kmeans.KMeansMapper
 
configure(JobConf) - Method in class org.apache.mahout.clustering.kmeans.KMeansReducer
 
configure(LDAState) - Method in class org.apache.mahout.clustering.lda.LDAMapper
 
configure(Configuration) - Method in class org.apache.mahout.clustering.lda.LDAMapper
 
configure(JobConf) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyClusterer
Configure the Canopy and its distance measure
configure(JobConf) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyCreatorMapper
 
configure(JobConf) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyMapper
 
configure(JobConf) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyReducer
 
configure(JobConf) - Method in class org.apache.mahout.common.distance.CosineDistanceMeasure
 
configure(JobConf) - Method in class org.apache.mahout.common.distance.ManhattanDistanceMeasure
 
configure(JobConf) - Method in class org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure
 
configure(JobConf) - Method in class org.apache.mahout.common.distance.WeightedDistanceMeasure
 
configure(JobConf) - Method in class org.apache.mahout.common.parameters.AbstractParameter
 
configure(JobConf) - Method in class org.apache.mahout.common.parameters.CompositeParameter
 
configure(JobConf) - Method in class org.apache.mahout.df.mapred.inmem.InMemMapper
 
configure(JobConf) - Method in class org.apache.mahout.df.mapred.MapredMapper
 
configure(boolean, boolean, TreeBuilder, Dataset) - Method in class org.apache.mahout.df.mapred.MapredMapper
Useful for testing
configure(JobConf) - Method in class org.apache.mahout.df.mapred.partial.Step1Mapper
 
configure(Long, int, int, int) - Method in class org.apache.mahout.df.mapred.partial.Step1Mapper
Useful when testing
configure(JobConf) - Method in class org.apache.mahout.df.mapred.partial.Step2Mapper
 
configure(int, Dataset, TreeID[], Node[], int) - Method in class org.apache.mahout.df.mapred.partial.Step2Mapper
Useful for testing.
configure(boolean, boolean, TreeBuilder, Dataset) - Method in class org.apache.mahout.df.mapreduce.MapredMapper
Useful for testing
configure(int) - Method in class org.apache.mahout.df.mapreduce.partial.Step0Job.Step0Mapper
Useful when testing
configure(Long, int, int, int) - Method in class org.apache.mahout.df.mapreduce.partial.Step1Mapper
Useful when testing
configure(int, Dataset, TreeID[], Node[], int) - Method in class org.apache.mahout.df.mapreduce.partial.Step2Mapper
Useful for testing.
configure(JobConf) - Method in class org.apache.mahout.ga.watchmaker.EvalMapper
 
configure(JobConf) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
 
configure(JobConf) - Method in class org.apache.mahout.math.hadoop.MatrixMultiplicationJob.MatrixMultiplyMapper
 
configure(JobConf) - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesSquaredMapper
 
configure(JobConf) - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.VectorSummingReducer
 
configure(JobConf) - Method in class org.apache.mahout.math.hadoop.TransposeJob.TransposeReducer
 
configureJob(JobConf, int, boolean) - Method in class org.apache.mahout.df.mapred.Builder
Used by the inheriting classes to configure the job
configureJob(JobConf, int, boolean) - Method in class org.apache.mahout.df.mapred.inmem.InMemBuilder
 
configureJob(JobConf, int, boolean) - Method in class org.apache.mahout.df.mapred.partial.PartialBuilder
 
configureJob(Job, int, boolean) - Method in class org.apache.mahout.df.mapreduce.Builder
Used by the inheriting classes to configure the job
configureJob(Job, int, boolean) - Method in class org.apache.mahout.df.mapreduce.inmem.InMemBuilder
 
configureJob(Job, int, boolean) - Method in class org.apache.mahout.df.mapreduce.partial.PartialBuilder
 
configureParameters(Parametered, JobConf) - Static method in class org.apache.mahout.common.parameters.Parametered.ParameteredGeneralizations
 
configureParameters(String, Parametered, JobConf) - Static method in class org.apache.mahout.common.parameters.Parametered.ParameteredGeneralizations
Calls Parametered.createParameters(String,org.apache.hadoop.mapred.JobConf) on parameter parmetered, and then recurse down its composite tree to invoke Parametered.createParameters(String,org.apache.hadoop.mapred.JobConf) and JobConfigurable.configure(org.apache.hadoop.mapred.JobConf) on each composite part.
ConfusionMatrix - Class in org.apache.mahout.classifier
The ConfusionMatrix Class stores the result of Classification of a Test Dataset.
ConfusionMatrix(Collection<String>, String) - Constructor for class org.apache.mahout.classifier.ConfusionMatrix
 
ConjugateGradientOptimizer - Class in org.apache.mahout.cf.taste.impl.recommender.knn
 
ConjugateGradientOptimizer() - Constructor for class org.apache.mahout.cf.taste.impl.recommender.knn.ConjugateGradientOptimizer
 
ConnectionPoolDataSource - Class in org.apache.mahout.cf.taste.impl.model.jdbc
A wrapper DataSource which pools connections.
ConnectionPoolDataSource(DataSource) - Constructor for class org.apache.mahout.cf.taste.impl.model.jdbc.ConnectionPoolDataSource
 
constructData(Dataset.Attribute[], List<Instance>, List<String>[]) - Static method in class org.apache.mahout.df.data.DataLoader
constructs the data
contains(long) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
 
contains(K) - Method in interface org.apache.mahout.common.cache.Cache
returns true if the Cache contains the key
contains(K) - Method in class org.apache.mahout.common.cache.HybridCache
 
contains(K) - Method in class org.apache.mahout.common.cache.LeastKCache
 
contains(K) - Method in class org.apache.mahout.common.cache.LFUCache
 
contains(K) - Method in class org.apache.mahout.common.cache.LRUCache
 
contains(Instance) - Method in class org.apache.mahout.df.data.Data
Returns true is this data contains the specified element.
containsKey(long) - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
 
containsKey(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
 
containsValue(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
 
containsValue(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
 
ContextStatusUpdater<IK extends org.apache.hadoop.io.Writable,IV extends org.apache.hadoop.io.Writable,K extends org.apache.hadoop.io.Writable,V extends org.apache.hadoop.io.Writable> - Class in org.apache.mahout.fpm.pfpgrowth.convertors
Updates the Context object of a Reducer class
ContextStatusUpdater(Reducer<IK, IV, K, V>.Context) - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.ContextStatusUpdater
 
ContextWriteOutputCollector<IK extends org.apache.hadoop.io.Writable,IV extends org.apache.hadoop.io.Writable,K extends org.apache.hadoop.io.Writable,V extends org.apache.hadoop.io.Writable> - Class in org.apache.mahout.fpm.pfpgrowth.convertors
An output collecter for Reducer for PFPGrowth which updates the status as well as writes the patterns generated by the algorithm
ContextWriteOutputCollector(Reducer<IK, IV, K, V>.Context) - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.ContextWriteOutputCollector
 
CONTROL_CONVERGED - Static variable in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyJob
 
CONTROL_PATH_KEY - Static variable in interface org.apache.mahout.clustering.meanshift.MeanShiftCanopyConfigKeys
 
convergenceOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
Returns a default command line option for convergence delta specification.
convert(int, String) - Method in class org.apache.mahout.df.data.DataConverter
 
CosineDistanceMeasure - Class in org.apache.mahout.common.distance
This class implements a cosine distance metric by dividing the dot product of two vectors by the product of their lengths
CosineDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.CosineDistanceMeasure
 
count() - Method in class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalModel
 
count() - Method in class org.apache.mahout.clustering.dirichlet.models.L1Model
 
count() - Method in interface org.apache.mahout.clustering.dirichlet.models.Model
Return the number of observations that have been observed by this model
count() - Method in class org.apache.mahout.clustering.dirichlet.models.NormalModel
 
count(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
count() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FrequentPatternMaxHeap
 
count(int) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
 
countAttributes(Dataset.Attribute[]) - Static method in class org.apache.mahout.df.data.Dataset
Counts the number of attributes, except IGNORED and LABEL
countLabels(int[]) - Method in class org.apache.mahout.df.data.Data
Counts the number of occurrences of each label value
createCanopies(List<Vector>, DistanceMeasure, double, double) - Static method in class org.apache.mahout.clustering.canopy.CanopyClusterer
Iterate through the points, adding new canopies.
createCanopyFromVectors(String, String) - Static method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyDriver
Run the job
createConditionalNode(int, long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
createKey() - Method in class org.apache.mahout.df.mapred.inmem.InMemInputFormat.InMemRecordReader
 
createMatrixMultiplyJobConf(Path, Path, Path, int) - Static method in class org.apache.mahout.math.hadoop.MatrixMultiplicationJob
 
createNode(int, int, long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
createParameters(String, JobConf) - Method in class org.apache.mahout.common.distance.CosineDistanceMeasure
 
createParameters(String, JobConf) - Method in class org.apache.mahout.common.distance.ManhattanDistanceMeasure
 
createParameters(String, JobConf) - Method in class org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure
 
createParameters(String, JobConf) - Method in class org.apache.mahout.common.distance.WeightedDistanceMeasure
 
createParameters(String, JobConf) - Method in class org.apache.mahout.common.parameters.AbstractParameter
 
createParameters(String, JobConf) - Method in class org.apache.mahout.common.parameters.CompositeParameter
 
createParameters(String, JobConf) - Method in interface org.apache.mahout.common.parameters.Parametered
EXPERT: consumers should never have to call this method.
createRecordReader(InputSplit, TaskAttemptContext) - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat
 
createRootNode() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
createState(String, String, int, int, double) - Static method in class org.apache.mahout.clustering.dirichlet.DirichletDriver
Creates a DirichletState object from the given arguments.
createTimesJobConf(Vector, int, Path, Path) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
 
createTimesSquaredJobConf(Vector, Path, Path) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
 
createTimesSquaredJobConf(Vector, Path, Path, Class<? extends TimesSquaredJob.TimesSquaredMapper>, Class<? extends TimesSquaredJob.VectorSummingReducer>) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
 
createTimesSquaredJobConf(Vector, int, Path, Path, Class<? extends TimesSquaredJob.TimesSquaredMapper>, Class<? extends TimesSquaredJob.VectorSummingReducer>) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
 
createValue() - Method in class org.apache.mahout.df.mapred.inmem.InMemInputFormat.InMemRecordReader
 

D

Data - Class in org.apache.mahout.df.data
Holds a list of vectors and their corresponding Dataset.
Data(Dataset, List<Instance>) - Constructor for class org.apache.mahout.df.data.Data
 
DATA_SOURCE_KEY - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
 
DataConverter - Class in org.apache.mahout.df.data
Converts String to Instance using a Dataset
DataConverter(Dataset) - Constructor for class org.apache.mahout.df.data.DataConverter
 
DataLoader - Class in org.apache.mahout.df.data
Converts the input data to a Vector Array using the information given by the Dataset.
Generates for each line a Vector that contains :
double parsed value for NUMERICAL attributes int value for CATEGORICAL and LABEL attributes
adds an IGNORED first attribute that will contain a unique id for each instance, which is the line number of the instance in the input data
DataModel - Interface in org.apache.mahout.cf.taste.model
Implementations represent a repository of information about users and their associated Preferences for items.
DataModelBuilder - Interface in org.apache.mahout.cf.taste.eval
Implementations of this inner interface are simple helper classes which create a DataModel to be used while evaluating a Recommender.
Dataset - Class in org.apache.mahout.df.data
Contains informations about the attributes.
Dataset(Dataset.Attribute[], List<String>[], int) - Constructor for class org.apache.mahout.df.data.Dataset
Should only be called by a DataLoader
Dataset.Attribute - Enum in org.apache.mahout.df.data
Attributes type
Datastore - Interface in org.apache.mahout.classifier.bayes.interfaces
The Datastore interface for the Algorithm to use
DataUtils - Class in org.apache.mahout.df.data
Helper methods that deals with data lists and arrays of values
dec(int[], int[]) - Static method in class org.apache.mahout.df.data.DataUtils
foreach i : array1[i] -= array2[i]
DecisionForest - Class in org.apache.mahout.df
Represents a forest of decision trees.
DecisionForest() - Constructor for class org.apache.mahout.df.DecisionForest
 
DecisionForest(List<Node>) - Constructor for class org.apache.mahout.df.DecisionForest
 
decodeCanopy(String) - Static method in class org.apache.mahout.clustering.canopy.Canopy
Decodes and returns a Canopy from the formattedString
decodeCanopy(String) - Static method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopy
Decodes and returns a Canopy from the formattedString
decodeCluster(String) - Static method in class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
Decodes and returns a SoftCluster from the formattedString
decodeCluster(String) - Static method in class org.apache.mahout.clustering.kmeans.Cluster
Decodes and returns a Cluster from the formattedString.
DEFAULT_AVERAGE_DIFF_COLUMN - Static variable in class org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc.AbstractJDBCDiffStorage
 
DEFAULT_CANOPIES_OUTPUT_DIRECTORY - Static variable in class org.apache.mahout.clustering.canopy.CanopyClusteringJob
The default name of the canopies output sub-directory.
DEFAULT_CLUSTER_OUTPUT_DIRECTORY - Static variable in class org.apache.mahout.clustering.canopy.CanopyClusteringJob
The default name of the directory used to output clusters.
DEFAULT_CLUSTER_OUTPUT_DIRECTORY - Static variable in class org.apache.mahout.clustering.canopy.ClusterDriver
 
DEFAULT_COUNT_COLUMN - Static variable in class org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc.AbstractJDBCDiffStorage
 
DEFAULT_DATASOURCE_NAME - Static variable in class org.apache.mahout.cf.taste.impl.common.jdbc.AbstractJDBCComponent
 
DEFAULT_DIFF_TABLE - Static variable in class org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc.AbstractJDBCDiffStorage
 
DEFAULT_ITEM_A_COLUMN - Static variable in class org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc.AbstractJDBCDiffStorage
 
DEFAULT_ITEM_B_COLUMN - Static variable in class org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc.AbstractJDBCDiffStorage
 
DEFAULT_ITEM_ID_COLUMN - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
 
DEFAULT_LONG_ID_COLUMN - Static variable in class org.apache.mahout.cf.taste.impl.model.AbstractJDBCIDMigrator
 
DEFAULT_MAPPING_TABLE - Static variable in class org.apache.mahout.cf.taste.impl.model.AbstractJDBCIDMigrator
 
DEFAULT_OUTPUT_DIRECTORY - Static variable in class org.apache.mahout.clustering.kmeans.KMeansDriver
The name of the directory used to output final results.
DEFAULT_PREFERENCE_COLUMN - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
 
DEFAULT_PREFERENCE_TABLE - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
 
DEFAULT_STRING_ID_COLUMN - Static variable in class org.apache.mahout.cf.taste.impl.model.AbstractJDBCIDMigrator
 
DEFAULT_USER_ID_COLUMN - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
 
DefaultIgSplit - Class in org.apache.mahout.df.split
Default, not optimized, implementation of IgSplit
DefaultIgSplit() - Constructor for class org.apache.mahout.df.split.DefaultIgSplit
 
DefaultOptionCreator - Class in org.apache.mahout.common.commandline
 
DefaultTreeBuilder - Class in org.apache.mahout.df.builder
Builds a Decision Tree
Based on the algorithm described in the "Decision Trees" tutorials by Andrew W.
DefaultTreeBuilder() - Constructor for class org.apache.mahout.df.builder.DefaultTreeBuilder
 
defaultValue() - Method in class org.apache.mahout.common.parameters.AbstractParameter
 
defaultValue() - Method in interface org.apache.mahout.common.parameters.Parameter
 
DelegatingIterator<T> - Class in org.apache.mahout.common.iterator
An iterator that delegates to another iterator.
DelegatingIterator(Iterator<T>) - Constructor for class org.apache.mahout.common.iterator.DelegatingIterator
 
deletePath(String, FileSystem) - Static method in class org.apache.mahout.common.HadoopUtil
 
deletePaths(Iterable<Path>, FileSystem) - Static method in class org.apache.mahout.common.HadoopUtil
 
DenseMatrixWritable - Class in org.apache.mahout.math
 
DenseMatrixWritable() - Constructor for class org.apache.mahout.math.DenseMatrixWritable
 
DenseVectorWritable - Class in org.apache.mahout.math
 
DenseVectorWritable() - Constructor for class org.apache.mahout.math.DenseVectorWritable
 
DenseVectorWritable(DenseVector) - Constructor for class org.apache.mahout.math.DenseVectorWritable
 
Describe - Class in org.apache.mahout.df.tools
Generates a file descriptor for a given dataset
description() - Method in class org.apache.mahout.common.parameters.AbstractParameter
 
description() - Method in interface org.apache.mahout.common.parameters.Parameter
 
DescriptorException - Exception in org.apache.mahout.df.data
Exception thrown when parsing a descriptor
DescriptorException(String) - Constructor for exception org.apache.mahout.df.data.DescriptorException
 
DescriptorUtils - Class in org.apache.mahout.df.data
Contains various methods that deal with descriptor strings
deserialize(JsonElement, Type, JsonDeserializationContext) - Method in class org.apache.mahout.clustering.dirichlet.JsonClusterAdapter
 
deserialize(JsonElement, Type, JsonDeserializationContext) - Method in class org.apache.mahout.clustering.dirichlet.JsonModelAdapter
 
deserializeList(Parameters, String, Configuration) - Static method in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
Generates the fList from the serialized string representation
deserializeMap(Parameters, String, Configuration) - Static method in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
Generates the gList(Group ID Mapping of Various frequent Features) Map from the corresponding serialized representation
determineDelimiter(String, int) - Static method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
 
DFUtils - Class in org.apache.mahout.df
Utility class that contains various helper methods
DiffStorage - Interface in org.apache.mahout.cf.taste.recommender.slopeone
Implementations store item-item preference diffs for a SlopeOneRecommender.
DirichletCluster<O> - Class in org.apache.mahout.clustering.dirichlet
 
DirichletCluster(Model<O>, double) - Constructor for class org.apache.mahout.clustering.dirichlet.DirichletCluster
 
DirichletCluster(Model<O>) - Constructor for class org.apache.mahout.clustering.dirichlet.DirichletCluster
 
DirichletCluster() - Constructor for class org.apache.mahout.clustering.dirichlet.DirichletCluster
 
DirichletClusterer<O> - Class in org.apache.mahout.clustering.dirichlet
Performs Bayesian mixture modeling.
DirichletClusterer(List<O>, ModelDistribution<O>, double, int, int, int) - Constructor for class org.apache.mahout.clustering.dirichlet.DirichletClusterer
Create a new instance on the sample data with the given additional parameters
DirichletDriver - Class in org.apache.mahout.clustering.dirichlet
 
DirichletJob - Class in org.apache.mahout.clustering.dirichlet
 
DirichletMapper - Class in org.apache.mahout.clustering.dirichlet
 
DirichletMapper() - Constructor for class org.apache.mahout.clustering.dirichlet.DirichletMapper
 
DirichletReducer - Class in org.apache.mahout.clustering.dirichlet
 
DirichletReducer() - Constructor for class org.apache.mahout.clustering.dirichlet.DirichletReducer
 
DirichletState<O> - Class in org.apache.mahout.clustering.dirichlet
 
DirichletState(ModelDistribution<O>, int, double) - Constructor for class org.apache.mahout.clustering.dirichlet.DirichletState
 
DirichletState() - Constructor for class org.apache.mahout.clustering.dirichlet.DirichletState
 
distance(double[], double[]) - Static method in class org.apache.mahout.common.distance.CosineDistanceMeasure
 
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.CosineDistanceMeasure
 
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.CosineDistanceMeasure
 
distance(Vector, Vector) - Method in interface org.apache.mahout.common.distance.DistanceMeasure
Returns the distance metric applied to the arguments
distance(double, Vector, Vector) - Method in interface org.apache.mahout.common.distance.DistanceMeasure
Optimized version of distance metric for sparse vectors.
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.EuclideanDistanceMeasure
 
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.EuclideanDistanceMeasure
 
distance(double[], double[]) - Static method in class org.apache.mahout.common.distance.ManhattanDistanceMeasure
 
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.ManhattanDistanceMeasure
 
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.ManhattanDistanceMeasure
 
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure
 
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure
 
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.TanimotoDistanceMeasure
Calculates the distance between two vectors.
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.TanimotoDistanceMeasure
 
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.WeightedEuclideanDistanceMeasure
 
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.WeightedEuclideanDistanceMeasure
 
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.WeightedManhattanDistanceMeasure
 
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.WeightedManhattanDistanceMeasure
 
DISTANCE_MEASURE_KEY - Static variable in interface org.apache.mahout.clustering.canopy.CanopyConfigKeys
 
DISTANCE_MEASURE_KEY - Static variable in interface org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansConfigKeys
 
DISTANCE_MEASURE_KEY - Static variable in interface org.apache.mahout.clustering.kmeans.KMeansConfigKeys
Configuration key for distance measure to use.
DISTANCE_MEASURE_KEY - Static variable in interface org.apache.mahout.clustering.meanshift.MeanShiftCanopyConfigKeys
 
DistanceMeasure - Interface in org.apache.mahout.common.distance
This interface is used for objects which can determine a distance metric between two points
distanceOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
Returns a default command line option for specification of distance measure class to use.
DistributedLanczosSolver - Class in org.apache.mahout.math.hadoop.decomposer
 
DistributedLanczosSolver() - Constructor for class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
 
DistributedLanczosSolver.DistributedLanczosSolverJob - Class in org.apache.mahout.math.hadoop.decomposer
Inner subclass of AbstractJob so we get access to AbstractJob's functionality w.r.t.
DistributedLanczosSolver.DistributedLanczosSolverJob() - Constructor for class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver.DistributedLanczosSolverJob
 
DistributedRowMatrix - Class in org.apache.mahout.math.hadoop
DistributedRowMatrix is a FileSystem-backed VectorIterable in which the vectors live in a SequenceFile, and distributed operations are executed as M/R passes on Hadoop.
DistributedRowMatrix(String, String, int, int) - Constructor for class org.apache.mahout.math.hadoop.DistributedRowMatrix
 
DistributedRowMatrix.DistributedMatrixIterator - Class in org.apache.mahout.math.hadoop
 
DistributedRowMatrix.DistributedMatrixIterator(FileSystem, Path, JobConf) - Constructor for class org.apache.mahout.math.hadoop.DistributedRowMatrix.DistributedMatrixIterator
 
DistributedRowMatrix.MatrixEntryWritable - Class in org.apache.mahout.math.hadoop
 
DistributedRowMatrix.MatrixEntryWritable() - Constructor for class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
 
dNorm(double, double, double) - Static method in class org.apache.mahout.clustering.dirichlet.UncommonDistributions
Return the normal density function value for the sample x pdf = 1/[sqrt(2*p)*s] * e^{-1/2*[(x-m)/s]^2}
DOCUMENT_FREQUENCY - Static variable in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesConstants
 
documentWeight(Datastore, String, String[]) - Method in class org.apache.mahout.classifier.bayes.algorithm.BayesAlgorithm
 
documentWeight(Datastore, String, String[]) - Method in class org.apache.mahout.classifier.bayes.algorithm.CBayesAlgorithm
 
documentWeight(Datastore, String, String[]) - Method in interface org.apache.mahout.classifier.bayes.interfaces.Algorithm
Calculate the document weight as the dot product of document vector and the corresponding weight vector of a particular class
doEstimatePreference(long, long[], long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericBooleanPrefUserBasedRecommender
This computation is in a technical sense, wrong, since in the domain of "boolean preference users" where all preference values are 1, this method should only ever return 1.0 or NaN.
doEstimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
 
doEstimatePreference(long, long[], long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
 
doEstimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.knn.KnnItemBasedRecommender
 
doGetPreferencesForItem(long) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
 
dot(Vector, Vector) - Method in class org.apache.mahout.common.distance.TanimotoDistanceMeasure
 
DoubleParameter - Class in org.apache.mahout.common.parameters
 
DoubleParameter(String, String, JobConf, double, String) - Constructor for class org.apache.mahout.common.parameters.DoubleParameter
 

E

EigenVector - Class in org.apache.mahout.math.hadoop.decomposer
TODO this is a horrible hack.
EigenVector(DenseVector, double, double, int) - Constructor for class org.apache.mahout.math.hadoop.decomposer.EigenVector
 
EigenVerificationJob - Class in org.apache.mahout.math.hadoop.decomposer
Class for taking the output of an eigendecomposition (specified as a Path location), and verifies correctness, in terms of the following: if you have a vector e, and a matrix m, then let e' = m.timesSquared(v); the error w.r.t.
EigenVerificationJob() - Constructor for class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob
 
elapsedTime(long) - Static method in class org.apache.mahout.df.DFUtils
Formats a time interval in milliseconds to a String in the form "hours:minutes:seconds:millis"
emitPoint(Vector, OutputCollector<Text, Vector>) - Method in class org.apache.mahout.clustering.canopy.Canopy
Emit the point to the collector, keyed by the canopy's formatted representation
emitPointProbToCluster(Vector, List<SoftCluster>, OutputCollector<Text, FuzzyKMeansInfo>) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer
Emit the point and its probability of belongingness to each cluster
emitPointToExistingCanopies(Vector, List<Canopy>, OutputCollector<Text, VectorWritable>, Reporter) - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer
This method is used by the CanopyMapper to perform canopy inclusion tests and to emit the point keyed by its covering canopies to the output.
emitPointToNearestCluster(Vector, List<Cluster>, OutputCollector<Text, KMeansInfo>) - Method in class org.apache.mahout.clustering.kmeans.KMeansClusterer
Iterates over all clusters and identifies the one closes to the given point.
emitPointToNewCanopies(Vector, List<Canopy>, OutputCollector<Text, Vector>) - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer
This method is used by the CanopyMapper to perform canopy inclusion tests and to emit the point and its covering canopies to the output.
EmptyIterable<T> - Class in org.apache.mahout.common.iterator
An Iterable over no elements: always produces an Iterator which iterates over nothing.
EmptyIterable() - Constructor for class org.apache.mahout.common.iterator.EmptyIterable
 
EmptyIterator<T> - Class in org.apache.mahout.common.iterator
An empty Iterator, which iterates over nothing.
EmptyIterator() - Constructor for class org.apache.mahout.common.iterator.EmptyIterator
 
end() - Method in class org.apache.mahout.common.TimingStatistics.Call
 
entropy(Data) - Method in class org.apache.mahout.df.split.DefaultIgSplit
Computes the Entropy
entrySet() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
 
entrySet() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
 
equals(Object) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.Bigram
 
equals(Object) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.Bigram.Frequency
 
equals(Object) - Method in class org.apache.mahout.cf.taste.hadoop.ItemItemWritable
 
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericRecommendedItem
 
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.recommender.SimilarUser
 
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity
 
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity
 
equals(Object) - Method in class org.apache.mahout.common.IntegerTuple
 
equals(Object) - Method in class org.apache.mahout.common.IntPairWritable
 
equals(Object) - Method in class org.apache.mahout.common.IntPairWritable.Frequency
 
equals(Object) - Method in class org.apache.mahout.common.LongPair
 
equals(Object) - Method in class org.apache.mahout.common.Pair
 
equals(Object) - Method in class org.apache.mahout.common.StringTuple
 
equals(Object) - Method in class org.apache.mahout.df.callback.ForestPredictions
 
equals(int, double) - Static method in class org.apache.mahout.df.data.conditions.Condition
Condition that checks if the given attribute has a value "equal" to the given value
Equals - Class in org.apache.mahout.df.data.conditions
True if a given attribute has a given value
Equals(int, double) - Constructor for class org.apache.mahout.df.data.conditions.Equals
 
equals(Object) - Method in class org.apache.mahout.df.data.Data
 
equals(Object) - Method in class org.apache.mahout.df.data.Dataset
 
equals(Object) - Method in class org.apache.mahout.df.data.Instance
 
equals(Object) - Method in class org.apache.mahout.df.DecisionForest
 
equals(Object) - Method in class org.apache.mahout.df.mapred.inmem.InMemInputFormat.InMemInputSplit
 
equals(Object) - Method in class org.apache.mahout.df.mapred.partial.Step0Job.Step0Output
 
equals(Object) - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
 
equals(Object) - Method in class org.apache.mahout.df.mapreduce.MapredOutput
 
equals(Object) - Method in class org.apache.mahout.df.mapreduce.partial.Step0Job.Step0Output
 
equals(Object) - Method in class org.apache.mahout.df.node.CategoricalNode
 
equals(Object) - Method in class org.apache.mahout.df.node.Leaf
 
equals(Object) - Method in class org.apache.mahout.df.node.NumericalNode
 
equals(Object) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
 
ErrorEstimate - Class in org.apache.mahout.df
various methods to compute from the output of a random forest
errorRate(int[], int[]) - Static method in class org.apache.mahout.df.ErrorEstimate
 
estimate(Long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender.MostSimilarEstimator
 
estimate(T) - Method in interface org.apache.mahout.cf.taste.impl.recommender.TopItems.Estimator
 
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
 
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
 
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
 
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemAverageRecommender
 
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemUserAverageRecommender
 
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.RandomRecommender
 
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.SlopeOneRecommender
 
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.SVDRecommender
 
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender
 
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender2
 
estimatePreference(long, long) - Method in interface org.apache.mahout.cf.taste.recommender.Recommender
 
EuclideanDistanceMeasure - Class in org.apache.mahout.common.distance
This class implements a Euclidean distance metric by summing the square root of the squared differences between each coordinate.
EuclideanDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.EuclideanDistanceMeasure
 
EuclideanDistanceSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
An implementation of a "similarity" based on the Euclidean "distance" between two users X and Y.
EuclideanDistanceSimilarity(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.EuclideanDistanceSimilarity
 
EuclideanDistanceSimilarity(DataModel, Weighting) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.EuclideanDistanceSimilarity
 
EvalMapper - Class in org.apache.mahout.ga.watchmaker
Generic Mapper class for fitness evaluation.
EvalMapper() - Constructor for class org.apache.mahout.ga.watchmaker.EvalMapper
 
evaluate(RecommenderBuilder, DataModelBuilder, DataModel, double, double) - Method in interface org.apache.mahout.cf.taste.eval.RecommenderEvaluator
Evaluates the quality of a Recommender's recommendations.
evaluate(RecommenderBuilder, DataModelBuilder, DataModel, IDRescorer, int, double, double) - Method in interface org.apache.mahout.cf.taste.eval.RecommenderIRStatsEvaluator
 
evaluate(RecommenderBuilder, DataModelBuilder, DataModel, IDRescorer, int, double, double) - Method in class org.apache.mahout.cf.taste.impl.eval.GenericRecommenderIRStatsEvaluator
 
evaluate(FitnessEvaluator<?>, List<?>, List<Double>) - Static method in class org.apache.mahout.ga.watchmaker.MahoutEvaluator
Uses Mahout to evaluate every candidate from the input population using the given evaluator.
evaluate(List<? extends T>, List<Double>) - Method in class org.apache.mahout.ga.watchmaker.MahoutFitnessEvaluator
 
evaluate(List<? extends T>, List<Double>) - Method in class org.apache.mahout.ga.watchmaker.STFitnessEvaluator
 
evaluatePopulation(List<T>) - Method in class org.apache.mahout.ga.watchmaker.STEvolutionEngine
 
execute(String[], BayesJob) - Static method in class org.apache.mahout.classifier.bayes.mapreduce.common.JobExecutor
Execute a bayes classification job.
ExpectationMaximizationSVD - Class in org.apache.mahout.cf.taste.impl.recommender.svd
Calculates the SVD using an Expectation Maximization algorithm.
ExpectationMaximizationSVD(int, int, int, double) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.ExpectationMaximizationSVD
 
ExpectationMaximizationSVD(int, int, int, double, double) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.ExpectationMaximizationSVD
 
exportWithIDsOnly() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
 
exportWithIDsOnly() - Method in interface org.apache.mahout.cf.taste.model.JDBCDataModel
 
exportWithPrefs() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
 
exportWithPrefs() - Method in interface org.apache.mahout.cf.taste.model.JDBCDataModel
Hmm, should this exist elsewhere? seems like most relevant for a DB implementation, which is not in memory, which might want to export to memory.
extractFirstIds(Step0Job.Step0Output[]) - Static method in class org.apache.mahout.df.mapred.partial.Step0Job.Step0Output
 
extractFirstIds(Step0Job.Step0Output[]) - Static method in class org.apache.mahout.df.mapreduce.partial.Step0Job.Step0Output
 
extractLabels() - Method in class org.apache.mahout.df.data.Data
extract the labels of all instances
extractLabels(Dataset, FileSystem, Path) - Static method in class org.apache.mahout.df.data.Data
extract the labels of all instances from a data file
extractSizes(Step0Job.Step0Output[]) - Static method in class org.apache.mahout.df.mapred.partial.Step0Job.Step0Output
 
extractSizes(Step0Job.Step0Output[]) - Static method in class org.apache.mahout.df.mapreduce.partial.Step0Job.Step0Output
 

F

FarthestNeighborClusterSimilarity - Class in org.apache.mahout.cf.taste.impl.recommender
Defines cluster similarity as the smallest similarity between any two users in the clusters -- that is, it says that clusters are close when all pairs of their members have relatively high similarity.
FarthestNeighborClusterSimilarity(UserSimilarity) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.FarthestNeighborClusterSimilarity
Constructs a based on the given UserSimilarity.
FarthestNeighborClusterSimilarity(UserSimilarity, double) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.FarthestNeighborClusterSimilarity
Constructs a based on the given UserSimilarity.
FastByIDMap<V> - Class in org.apache.mahout.cf.taste.impl.common
 
FastByIDMap() - Constructor for class org.apache.mahout.cf.taste.impl.common.FastByIDMap
Creates a new with default capacity.
FastByIDMap(int) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastByIDMap
 
FastByIDMap(int, int) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastByIDMap
Creates a new whose capacity can accommodate the given number of entries without rehash.
FastIDSet - Class in org.apache.mahout.cf.taste.impl.common
 
FastIDSet() - Constructor for class org.apache.mahout.cf.taste.impl.common.FastIDSet
Creates a new with default capacity.
FastIDSet(int) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastIDSet
 
FastMap<K,V> - Class in org.apache.mahout.cf.taste.impl.common
This is an optimized Map implementation, based on algorithms described in Knuth's "Art of Computer Programming", Vol.
FastMap() - Constructor for class org.apache.mahout.cf.taste.impl.common.FastMap
Creates a new with default capacity.
FastMap(int) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastMap
 
FastMap(Map<K, V>) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastMap
 
FastMap(int, int) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastMap
Creates a new whose capacity can accommodate the given number of entries without rehash.
FEATURE_COUNT - Static variable in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesConstants
 
FEATURE_SET_SIZE - Static variable in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesConstants
 
FEATURE_SUM - Static variable in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesConstants
 
featureWeight(Datastore, String, String) - Method in class org.apache.mahout.classifier.bayes.algorithm.BayesAlgorithm
 
featureWeight(Datastore, String, String) - Method in class org.apache.mahout.classifier.bayes.algorithm.CBayesAlgorithm
 
featureWeight(Datastore, String, String) - Method in interface org.apache.mahout.classifier.bayes.interfaces.Algorithm
Get the weighted probability of the feature.
FileDataModel - Class in org.apache.mahout.cf.taste.impl.model.file
A DataModel backed by a comma-delimited file.
FileDataModel(File) - Constructor for class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
 
FileDataModel(File, boolean) - Constructor for class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
 
FileDiffStorage - Class in org.apache.mahout.cf.taste.impl.recommender.slopeone.file
DiffStorage which reads pre-computed diffs from a file and stores in memory.
FileDiffStorage(File, long) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.slopeone.file.FileDiffStorage
 
FileLineIterable - Class in org.apache.mahout.common
Iterable representing the lines of a text file.
FileLineIterable(File) - Constructor for class org.apache.mahout.common.FileLineIterable
Creates a over a given file, assuming a UTF-8 encoding.
FileLineIterable(File, boolean) - Constructor for class org.apache.mahout.common.FileLineIterable
Creates a over a given file, assuming a UTF-8 encoding.
FileLineIterable(File, Charset, boolean) - Constructor for class org.apache.mahout.common.FileLineIterable
Creates a over a given file, using the given encoding.
FileLineIterable(InputStream) - Constructor for class org.apache.mahout.common.FileLineIterable
 
FileLineIterable(InputStream, boolean) - Constructor for class org.apache.mahout.common.FileLineIterable
 
FileLineIterable(InputStream, Charset, boolean) - Constructor for class org.apache.mahout.common.FileLineIterable
 
FileLineIterator - Class in org.apache.mahout.common
Iterates over the lines of a text file.
FileLineIterator(File) - Constructor for class org.apache.mahout.common.FileLineIterator
Creates a over a given file, assuming a UTF-8 encoding.
FileLineIterator(File, boolean) - Constructor for class org.apache.mahout.common.FileLineIterator
Creates a over a given file, assuming a UTF-8 encoding.
FileLineIterator(File, Charset, boolean) - Constructor for class org.apache.mahout.common.FileLineIterator
Creates a over a given file, using the given encoding.
FileLineIterator(InputStream) - Constructor for class org.apache.mahout.common.FileLineIterator
 
FileLineIterator(InputStream, boolean) - Constructor for class org.apache.mahout.common.FileLineIterator
 
FileLineIterator(InputStream, Charset, boolean) - Constructor for class org.apache.mahout.common.FileLineIterator
 
FileParameter - Class in org.apache.mahout.common.parameters
 
FileParameter(String, String, JobConf, File, String) - Constructor for class org.apache.mahout.common.parameters.FileParameter
 
FixedSizeSamplingIterator<T> - Class in org.apache.mahout.common.iterator
Sample a fixed number of elements from an Iterator.
FixedSizeSamplingIterator(int, Iterator<T>) - Constructor for class org.apache.mahout.common.iterator.FixedSizeSamplingIterator
 
ForestPredictions - Class in org.apache.mahout.df.callback
Collects a forest's predictions
ForestPredictions(int, int) - Constructor for class org.apache.mahout.df.callback.ForestPredictions
 
format(String, Analyzer, File, Charset, File) - Static method in class org.apache.mahout.classifier.BayesFileFormatter
Write the input files to the outdir, one output file per input file
formatCanopy(Canopy) - Static method in class org.apache.mahout.clustering.canopy.Canopy
Format the canopy for output
formatCanopy(MeanShiftCanopy) - Static method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopy
Format the canopy for output
formatCluster(SoftCluster) - Static method in class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
Format the SoftCluster for output
formatCluster(Cluster) - Static method in class org.apache.mahout.clustering.kmeans.Cluster
Format the cluster for output
formatVector(Vector, String[]) - Static method in class org.apache.mahout.clustering.ClusterBase
Return a human-readable formatted string representation of the vector, not intended to be complete nor usable as an input/output representation such as Json
FPGrowth<A extends java.lang.Comparable<? super A>> - Class in org.apache.mahout.fpm.pfpgrowth.fpgrowth
Implementation of PFGrowth Algorithm with FP-Bonsai pruning Generic parameter A is the object type used as the cell items in a transaction list.
FPGrowth() - Constructor for class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPGrowth
 
FPGrowthDriver - Class in org.apache.mahout.fpm.pfpgrowth
 
FPTree - Class in org.apache.mahout.fpm.pfpgrowth.fpgrowth
The Frequent Pattern Tree datastructure used for mining patterns using FPGrowth algorithm
FPTree() - Constructor for class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
FPTree(int) - Constructor for class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
FPTreeDepthCache - Class in org.apache.mahout.fpm.pfpgrowth.fpgrowth
Caches large FPTree Object for each level of the recursive FPGrowth algorithm to reduce allocation overhead.
FPTreeDepthCache() - Constructor for class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTreeDepthCache
 
Frequencies - Class in org.apache.mahout.df.tools
Compute the frequency distribution of the "class label"
FrequenciesJob - Class in org.apache.mahout.df.tools
Temporary class used to compute the frequency distribution of the "class attribute".
FrequenciesJob(Path, Path, Path) - Constructor for class org.apache.mahout.df.tools.FrequenciesJob
 
FrequentPatternMaxHeap - Class in org.apache.mahout.fpm.pfpgrowth.fpgrowth
keeps top K Attributes in a TreeSet
FrequentPatternMaxHeap(int, boolean) - Constructor for class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FrequentPatternMaxHeap
 
fromString(String) - Static method in class org.apache.mahout.common.Parameters
 
fromString(String) - Static method in class org.apache.mahout.common.StringUtils
Restores the object from its string representation.
FullRunningAverage - Class in org.apache.mahout.cf.taste.impl.common
A simple class that can keep track of a running avearage of a series of numbers.
FullRunningAverage() - Constructor for class org.apache.mahout.cf.taste.impl.common.FullRunningAverage
 
FullRunningAverageAndStdDev - Class in org.apache.mahout.cf.taste.impl.common
Extends FullRunningAverage to add a running standard deviation computation.
FullRunningAverageAndStdDev() - Constructor for class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev
 
FuzzyKMeansClusterer - Class in org.apache.mahout.clustering.fuzzykmeans
 
FuzzyKMeansClusterer(DistanceMeasure, double, double) - Constructor for class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer
Init the fuzzy k-means clusterer with the distance measure to use for comparison.
FuzzyKMeansClusterer(JobConf) - Constructor for class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer
 
FuzzyKMeansClusterMapper - Class in org.apache.mahout.clustering.fuzzykmeans
 
FuzzyKMeansClusterMapper() - Constructor for class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterMapper
 
FuzzyKMeansCombiner - Class in org.apache.mahout.clustering.fuzzykmeans
 
FuzzyKMeansCombiner() - Constructor for class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansCombiner
 
FuzzyKMeansConfigKeys - Interface in org.apache.mahout.clustering.fuzzykmeans
 
FuzzyKMeansDriver - Class in org.apache.mahout.clustering.fuzzykmeans
 
FuzzyKMeansInfo - Class in org.apache.mahout.clustering.fuzzykmeans
 
FuzzyKMeansInfo() - Constructor for class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansInfo
 
FuzzyKMeansInfo(double, Vector) - Constructor for class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansInfo
 
FuzzyKMeansInfo(double, Vector, int) - Constructor for class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansInfo
 
FuzzyKMeansJob - Class in org.apache.mahout.clustering.fuzzykmeans
 
FuzzyKMeansMapper - Class in org.apache.mahout.clustering.fuzzykmeans
 
FuzzyKMeansMapper() - Constructor for class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansMapper
 
FuzzyKMeansOutput - Class in org.apache.mahout.clustering.fuzzykmeans
 
FuzzyKMeansOutput() - Constructor for class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansOutput
 
FuzzyKMeansOutput(int) - Constructor for class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansOutput
 
FuzzyKMeansReducer - Class in org.apache.mahout.clustering.fuzzykmeans
 
FuzzyKMeansReducer() - Constructor for class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansReducer
 

G

generateDataset(String, FileSystem, Path) - Static method in class org.apache.mahout.df.data.DataLoader
Generates the Dataset by parsing the entire data
generateDataset(String, String[]) - Static method in class org.apache.mahout.df.data.DataLoader
Generates the Dataset by parsing the entire data
generateDescriptor(String) - Static method in class org.apache.mahout.df.data.DescriptorUtils
Generates a valid descriptor string from a user-friendly representation.
for example "3 N I N N 2 C L 5 I" generates "N N N I N N C C L I I I I I".
this useful when describing datasets with a large number of attributes
generateDescriptor(List<String>) - Static method in class org.apache.mahout.df.data.DescriptorUtils
Generates a valid descriptor string from a list of tokens
generateFileNameForKeyValue(WritableComparable<?>, Writable, String) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureOutputFormat
 
generateFileNameForKeyValue(WritableComparable<?>, Writable, String) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesTfIdfOutputFormat
 
generateFileNameForKeyValue(WritableComparable<?>, Writable, String) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesWeightSummerOutputFormat
 
generateFList(Iterator<Pair<List<A>, Long>>, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPGrowth
Generate the Feature Frequency list from the given transaction whose frequency > minSupport
generateFList() - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
 
generateNGrams() - Method in class org.apache.mahout.common.nlp.NGrams
 
generateNGramsWithoutLabel() - Method in class org.apache.mahout.common.nlp.NGrams
 
generateTopKFrequentPatterns(Iterator<Pair<List<A>, Long>>, List<Pair<A, Long>>, long, int, Set<A>, OutputCollector<A, List<Pair<List<A>, Long>>>, StatusUpdater) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPGrowth
Generate Top K Frequent Patterns for every feature in returnableFeatures given a stream of transactions and the minimum support
GenericBooleanPrefDataModel - Class in org.apache.mahout.cf.taste.impl.model
A simple DataModel which uses a given List of users as its data source.
GenericBooleanPrefDataModel(FastByIDMap<FastIDSet>) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
Creates a new GenericDataModel from the given users (and their preferences).
GenericBooleanPrefDataModel(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
Creates a new GenericDataModel containing an immutable copy of the data from another given DataModel.
GenericBooleanPrefUserBasedRecommender - Class in org.apache.mahout.cf.taste.impl.recommender
A variant on GenericUserBasedRecommender which is appropriate for use when no notion of preference value exists in the data.
GenericBooleanPrefUserBasedRecommender(DataModel, UserNeighborhood, UserSimilarity) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericBooleanPrefUserBasedRecommender
 
GenericDataModel - Class in org.apache.mahout.cf.taste.impl.model
A simple DataModel which uses a given List of users as its data source.
GenericDataModel(FastByIDMap<PreferenceArray>) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericDataModel
Creates a new from the given users (and their preferences).
GenericDataModel(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericDataModel
Creates a new containing an immutable copy of the data from another given DataModel.
GenericItemBasedRecommender - Class in org.apache.mahout.cf.taste.impl.recommender
A simple Recommender which uses a given DataModel and ItemSimilarity to produce recommendations.
GenericItemBasedRecommender(DataModel, ItemSimilarity) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
 
GenericItemBasedRecommender.MostSimilarEstimator - Class in org.apache.mahout.cf.taste.impl.recommender
 
GenericItemBasedRecommender.MostSimilarEstimator(long, ItemSimilarity, Rescorer<LongPair>) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender.MostSimilarEstimator
 
GenericItemPreferenceArray - Class in org.apache.mahout.cf.taste.impl.model
Like GenericUserPreferenceArray but stores preferences for one item (all item IDs the same) rather than one user.
GenericItemPreferenceArray(int) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
 
GenericItemPreferenceArray(List<Preference>) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
 
GenericItemSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
A "generic" GenericItemSimilarity.ItemItemSimilarity which takes a static list of precomputed item similarities and bases its responses on that alone.
GenericItemSimilarity(Iterable<GenericItemSimilarity.ItemItemSimilarity>) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity
Creates a from a precomputed list of GenericItemSimilarity.ItemItemSimilaritys.
GenericItemSimilarity(Iterable<GenericItemSimilarity.ItemItemSimilarity>, int) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity
Like GenericItemSimilarity.GenericItemSimilarity(Iterable), but will only keep the specified number of similarities from the given Iterable of similarities.
GenericItemSimilarity(ItemSimilarity, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity
Builds a list of item-item similarities given an GenericItemSimilarity.ItemItemSimilarity implementation and a DataModel, rather than a list of GenericItemSimilarity.ItemItemSimilaritys.
GenericItemSimilarity(ItemSimilarity, DataModel, int) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity
Like GenericItemSimilarity.GenericItemSimilarity(ItemSimilarity, DataModel) )}, but will only keep the specified number of similarities from the given DataModel.
GenericItemSimilarity.ItemItemSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
Encapsulates a similarity between two items.
GenericItemSimilarity.ItemItemSimilarity(long, long, double) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity
 
GenericJDBCDataModel - Class in org.apache.mahout.cf.taste.impl.model.jdbc
A generic DataModel designed for use with other JDBC data sources; one just specifies all necessary SQL queries to the constructor here.
GenericJDBCDataModel(Properties) - Constructor for class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
Specifies all SQL queries in a Properties object.
GenericJDBCDataModel(File) - Constructor for class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
See GenericJDBCDataModel.GenericJDBCDataModel(java.util.Properties).
GenericJDBCDataModel(String) - Constructor for class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
See GenericJDBCDataModel.GenericJDBCDataModel(Properties).
GenericPreference - Class in org.apache.mahout.cf.taste.impl.model
A simple Preference encapsulating an item and preference value.
GenericPreference(long, long, float) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericPreference
 
GenericRecommendedItem - Class in org.apache.mahout.cf.taste.impl.recommender
A simple implementation of RecommendedItem.
GenericRecommendedItem(long, float) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericRecommendedItem
 
GenericRecommenderIRStatsEvaluator - Class in org.apache.mahout.cf.taste.impl.eval
For each user, these implementation determine the top n preferences, then evaluate the IR statistics based on a DataModel that does not have these values.
GenericRecommenderIRStatsEvaluator() - Constructor for class org.apache.mahout.cf.taste.impl.eval.GenericRecommenderIRStatsEvaluator
 
GenericUserBasedRecommender - Class in org.apache.mahout.cf.taste.impl.recommender
A simple Recommender which uses a given DataModel and UserNeighborhood to produce recommendations.
GenericUserBasedRecommender(DataModel, UserNeighborhood, UserSimilarity) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
 
GenericUserPreferenceArray - Class in org.apache.mahout.cf.taste.impl.model
This implementation maintains two parallel arrays, of user IDs and values.
GenericUserPreferenceArray(int) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
 
GenericUserPreferenceArray(List<Preference>) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
 
GenericUserSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
 
GenericUserSimilarity(Iterable<GenericUserSimilarity.UserUserSimilarity>) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity
 
GenericUserSimilarity(Iterable<GenericUserSimilarity.UserUserSimilarity>, int) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity
 
GenericUserSimilarity(UserSimilarity, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity
 
GenericUserSimilarity(UserSimilarity, DataModel, int) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity
 
GenericUserSimilarity.UserUserSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
 
GenericUserSimilarity.UserUserSimilarity(long, long, double) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity
 
get(int) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.TupleWritable
 
get(K, V) - Method in class org.apache.mahout.cf.taste.hadoop.MapFilesMap
 
get(K) - Method in class org.apache.mahout.cf.taste.impl.common.Cache
Returns cached value for a key.
get(long) - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
 
get(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
 
get(K) - Method in interface org.apache.mahout.cf.taste.impl.common.Retriever
 
get(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
 
get(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
 
get(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
 
get(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
 
get(int) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
 
get(K) - Method in interface org.apache.mahout.common.cache.Cache
Gets the Value from the Cache, If the object doesnt exist default behaviour is to return null.
get(K) - Method in class org.apache.mahout.common.cache.HybridCache
 
get(K) - Method in class org.apache.mahout.common.cache.LeastKCache
 
get(K) - Method in class org.apache.mahout.common.cache.LFUCache
 
get(K) - Method in class org.apache.mahout.common.cache.LRUCache
 
get() - Method in class org.apache.mahout.common.parameters.AbstractParameter
 
get(String) - Method in class org.apache.mahout.common.Parameters
 
get(String, String) - Method in class org.apache.mahout.common.Parameters
 
get() - Method in interface org.apache.mahout.common.parameters.Parameter
 
get(int) - Method in class org.apache.mahout.df.data.Data
Returns the element at the specified position
get(int) - Method in class org.apache.mahout.df.data.Instance
Return the attribute at the specified position
get() - Method in class org.apache.mahout.math.MatrixWritable
 
get() - Method in class org.apache.mahout.math.VectorWritable
 
GET_ALL_USERS_SQL_KEY - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
 
GET_ITEMS_SQL_KEY - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
 
GET_NUM_ITEMS_SQL_KEY - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
 
GET_NUM_PREFERENCE_FOR_ITEM_KEY - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
 
GET_NUM_PREFERENCE_FOR_ITEMS_KEY - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
 
GET_NUM_USERS_SQL_KEY - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
 
GET_PREFERENCE_SQL_KEY - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
 
GET_PREFS_FOR_ITEM_SQL_KEY - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
 
GET_USER_SQL_KEY - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
 
GET_USERS_SQL_KEY - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
 
getAccuracy(String) - Method in class org.apache.mahout.classifier.ConfusionMatrix
 
getAllOtherItems(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender
 
getAllOtherItems(long[], long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericBooleanPrefUserBasedRecommender
 
getAllOtherItems(long[], long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
 
getAlphaI() - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
 
getAttributeAtIndex(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
getAverage() - Method in class org.apache.mahout.cf.taste.impl.common.CompactRunningAverage
 
getAverage() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverage
 
getAverage() - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverage
 
getAverage() - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev
 
getAverage() - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverage
 
getAverage() - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
 
getAverageItemPref(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.file.FileDiffStorage
 
getAverageItemPref(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc.AbstractJDBCDiffStorage
 
getAverageItemPref(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.MemoryDiffStorage
 
getAverageItemPref(long) - Method in interface org.apache.mahout.cf.taste.recommender.slopeone.DiffStorage
 
getBaseRecordWriter(FileSystem, JobConf, String, Progressable) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureOutputFormat
 
getBaseRecordWriter(FileSystem, JobConf, String, Progressable) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesTfIdfOutputFormat
 
getBaseRecordWriter(FileSystem, JobConf, String, Progressable) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesWeightSummerOutputFormat
 
getBigram() - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.Bigram.Frequency
 
getBoundPoints() - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopy
 
getBytes() - Method in class org.apache.mahout.common.IntPairWritable
 
getCachedCell(String, String, String) - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
 
getCanopyId() - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopy
 
getCenter() - Method in class org.apache.mahout.clustering.ClusterBase
 
getCluster(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender
 
getCluster(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender2
 
getCluster(long) - Method in interface org.apache.mahout.cf.taste.recommender.ClusteringRecommender
Returns the cluster of users to which the given user, denoted by user ID, belongs.
getClusters() - Method in class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender
 
getClusters() - Method in class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender2
 
getClusters() - Method in interface org.apache.mahout.cf.taste.recommender.ClusteringRecommender
Returns all clusters of users.
getClusters() - Method in class org.apache.mahout.clustering.dirichlet.DirichletState
 
getClusters() - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansOutput
 
getCol() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
 
getCombinerPass() - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansInfo
 
getCompressedTree() - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
 
getConf() - Method in class org.apache.mahout.cf.taste.hadoop.AbstractJob
 
getConf() - Method in class org.apache.mahout.df.mapred.Builder
 
getConf() - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver.DistributedLanczosSolverJob
 
getConf() - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
 
getConfig() - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
 
getConfusionMatrix() - Method in class org.apache.mahout.classifier.ConfusionMatrix
 
getConfusionMatrix() - Method in class org.apache.mahout.classifier.ResultAnalyzer
 
getConnection() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.ConnectionPoolDataSource
 
getConnection(String, String) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.ConnectionPoolDataSource
 
getCorrect(String) - Method in class org.apache.mahout.classifier.ConfusionMatrix
 
getCosAngleError() - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVector
 
getCount() - Method in class org.apache.mahout.cf.taste.impl.common.CompactRunningAverage
 
getCount() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverage
 
getCount() - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverage
 
getCount() - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev
 
getCount() - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverage
 
getCount() - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
 
getCount(String, String) - Method in class org.apache.mahout.classifier.ConfusionMatrix
 
getCurrentKey() - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader
 
getCurrentValue() - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader
 
getDataFile() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
 
getDataModel() - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender
 
getDataModel() - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
 
getDataModel() - Method in interface org.apache.mahout.cf.taste.recommender.Recommender
 
getDataPath() - Method in class org.apache.mahout.df.mapred.Builder
 
getDataPath() - Method in class org.apache.mahout.df.mapreduce.Builder
 
getDataset() - Method in class org.apache.mahout.df.data.Data
 
getDataset() - Method in class org.apache.mahout.df.mapred.MapredMapper
 
getDataset() - Method in class org.apache.mahout.df.mapreduce.MapredMapper
 
getDatasetPath() - Method in class org.apache.mahout.df.mapred.Builder
 
getDatasetPath() - Method in class org.apache.mahout.df.mapreduce.Builder
 
getDataSource() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
 
getDataSource() - Method in interface org.apache.mahout.cf.taste.model.JDBCDataModel
 
getDelimiter() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
 
getDiff(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.file.FileDiffStorage
 
getDiff(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc.AbstractJDBCDiffStorage
 
getDiff(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.MemoryDiffStorage
 
getDiff(long, long) - Method in interface org.apache.mahout.cf.taste.recommender.slopeone.DiffStorage
 
getDiffs(long, long, PreferenceArray) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.file.FileDiffStorage
 
getDiffs(long, long, PreferenceArray) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc.AbstractJDBCDiffStorage
 
getDiffs(long, long, PreferenceArray) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.MemoryDiffStorage
 
getDiffs(long, long, PreferenceArray) - Method in interface org.apache.mahout.cf.taste.recommender.slopeone.DiffStorage
 
getDirichletState(JobConf) - Static method in class org.apache.mahout.clustering.dirichlet.DirichletMapper
 
getDistributedCacheFile(Configuration, int) - Static method in class org.apache.mahout.df.mapred.Builder
Helper method.
getDistributedCacheFile(Configuration, int) - Static method in class org.apache.mahout.df.mapreduce.Builder
Helper method.
getDotProduct(int, int) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ExpectationMaximizationSVD
 
getDouble(int) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.TupleWritable
 
getEigenValue() - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVector
 
getEntries() - Method in class org.apache.mahout.common.IntegerTuple
Fetch the list of entries from the tuple
getEntries() - Method in class org.apache.mahout.common.StringTuple
Fetch the list of entries from the tuple
getEvictionCount() - Method in class org.apache.mahout.common.cache.LFUCache
 
getF1Measure() - Method in interface org.apache.mahout.cf.taste.eval.IRStatistics
See F-measure.
getF1Measure() - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl
 
getFallOut() - Method in interface org.apache.mahout.cf.taste.eval.IRStatistics
See Fall-Out.
getFallOut() - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl
 
getFetchSize() - Method in class org.apache.mahout.cf.taste.impl.common.jdbc.AbstractJDBCComponent
 
getFetchSize() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.MySQLBooleanPrefJDBCDataModel
 
getFetchSize() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.MySQLJDBCDataModel
 
getFetchSize() - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc.MySQLJDBCDiffStorage
 
getFetchSize() - Method in class org.apache.mahout.cf.taste.impl.similarity.jdbc.MySQLJDBCItemSimilarity
 
getFirst() - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.Bigram
 
getFirst() - Method in class org.apache.mahout.common.IntPairWritable
 
getFirst() - Method in class org.apache.mahout.common.LongPair
 
getFirst() - Method in class org.apache.mahout.common.Pair
 
getFirstId() - Method in class org.apache.mahout.df.mapred.inmem.InMemInputFormat.InMemInputSplit
Return the Id of the first tree of this split
getFirstId() - Method in class org.apache.mahout.df.mapred.partial.Step0Job.Step0Output
 
getFirstId() - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
Return the Id of the first tree of this split
getFirstId() - Method in class org.apache.mahout.df.mapreduce.partial.Step0Job.Step0Output
 
getFirstLevelCacheSize() - Static method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTreeDepthCache
 
getFirstLevelTree(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTreeDepthCache
 
getFirstTreeId() - Method in class org.apache.mahout.df.mapred.partial.Step1Mapper
 
getFirstTreeId() - Method in class org.apache.mahout.df.mapreduce.partial.Step1Mapper
 
getFitness(T, List<? extends T>) - Method in class org.apache.mahout.ga.watchmaker.STFitnessEvaluator
 
getFNMeasure(double) - Method in interface org.apache.mahout.cf.taste.eval.IRStatistics
See F-measure.
getFNMeasure(double) - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl
 
getFrequency() - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.Bigram.Frequency
 
getFrequency() - Method in class org.apache.mahout.common.IntPairWritable.Frequency
 
getGamma() - Method in class org.apache.mahout.clustering.lda.LDAInference.InferredDocument
 
getHbaseTable() - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
 
getHeaderNext(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
getHeaderSupportCount(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
getHeaderTableAttributes() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
getHeaderTableCount() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
getHeap() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FrequentPatternMaxHeap
 
getHits() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTreeDepthCache
 
getId() - Method in class org.apache.mahout.clustering.ClusterBase
 
getIdentifier() - Method in class org.apache.mahout.clustering.canopy.Canopy
 
getIdentifier() - Method in class org.apache.mahout.clustering.ClusterBase
 
getIdentifier() - Method in class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
 
getIdentifier() - Method in class org.apache.mahout.clustering.kmeans.Cluster
 
getIdentifier() - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopy
 
getIgnored() - Method in class org.apache.mahout.df.data.Dataset
 
getIndex() - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVector
 
getInitialVector(VectorIterable) - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
For the distributed case, the best guess at a useful initialization state for Lanczos we'll chose to be uniform over all input dimensions, L_2 normalized.
getInt(int) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.TupleWritable
 
getItemAID() - Method in class org.apache.mahout.cf.taste.hadoop.ItemItemWritable
 
getItemAIDColumn() - Method in class org.apache.mahout.cf.taste.impl.similarity.jdbc.AbstractJDBCItemSimilarity
 
getItemBID() - Method in class org.apache.mahout.cf.taste.hadoop.ItemItemWritable
 
getItemBIDColumn() - Method in class org.apache.mahout.cf.taste.impl.similarity.jdbc.AbstractJDBCItemSimilarity
 
getItemID() - Method in class org.apache.mahout.cf.taste.hadoop.ItemPrefWritable
 
getItemID(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
 
getItemID() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanPreference
 
getItemID(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
 
getItemID(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
 
getItemID() - Method in class org.apache.mahout.cf.taste.impl.model.GenericPreference
 
getItemID(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
 
getItemID() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericRecommendedItem
 
getItemID() - Method in interface org.apache.mahout.cf.taste.model.Preference
 
getItemID(int) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
 
getItemID() - Method in interface org.apache.mahout.cf.taste.recommender.RecommendedItem
 
getItemID1() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity
 
getItemID2() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity
 
getItemIDColumn() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
 
getItemIDs() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
 
getItemIDs() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
 
getItemIDs() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
 
getItemIDs() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
 
getItemIDs() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
 
getItemIDs() - Method in interface org.apache.mahout.cf.taste.model.DataModel
 
getItemIDsFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
 
getItemIDsFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
 
getItemIDsFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
 
getItemIDsFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
 
getItemIDsFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
 
getItemIDsFromUser(long) - Method in interface org.apache.mahout.cf.taste.model.DataModel
 
getItemInstance() - Static method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
 
getItemItemPairInstance() - Static method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
 
getIterator() - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
 
getKeys(String) - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
 
getKeys(String) - Method in class org.apache.mahout.classifier.bayes.datastore.InMemoryBayesDatastore
 
getKeys(String) - Method in interface org.apache.mahout.classifier.bayes.interfaces.Datastore
get the keySet of a given Matrix/Vector as given by name
getLabel() - Method in class org.apache.mahout.classifier.ClassifierResult
 
getLabel(int) - Method in class org.apache.mahout.df.data.Dataset
 
getLabelId() - Method in class org.apache.mahout.df.data.Dataset
 
getLabels(Datastore) - Method in class org.apache.mahout.classifier.bayes.algorithm.BayesAlgorithm
 
getLabels(Datastore) - Method in class org.apache.mahout.classifier.bayes.algorithm.CBayesAlgorithm
 
getLabels(Datastore) - Method in interface org.apache.mahout.classifier.bayes.interfaces.Algorithm
Returns the labels in the given Model
getLabels() - Method in class org.apache.mahout.classifier.bayes.model.ClassifierContext
Gets the labels in the given model
getLabels() - Method in class org.apache.mahout.classifier.ConfusionMatrix
 
getLabels() - Method in class org.apache.mahout.math.MultiLabelVectorWritable
 
getLength() - Method in class org.apache.mahout.common.IntPairWritable
 
getLength() - Method in class org.apache.mahout.df.mapred.inmem.InMemInputFormat.InMemInputSplit
 
getLength() - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
 
getLocations() - Method in class org.apache.mahout.df.mapred.inmem.InMemInputFormat.InMemInputSplit
 
getLocations() - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
 
getLogBase() - Method in class org.apache.mahout.cf.taste.impl.transforms.InverseUserFrequency
 
getLoginTimeout() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.ConnectionPoolDataSource
 
getLogWriter() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.ConnectionPoolDataSource
 
getLong(int) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.TupleWritable
 
getLongColumn(ResultSet, int) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
Subclasses may wish to override this if ID values in the file are not numeric.
getM() - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer
 
getMaxPreference() - Method in interface org.apache.mahout.cf.taste.eval.RecommenderEvaluator
 
getMaxTime() - Method in class org.apache.mahout.common.TimingStatistics
 
getMean() - Method in class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalModel
 
getMean() - Method in class org.apache.mahout.clustering.dirichlet.models.NormalModel
 
getMeanTime() - Method in class org.apache.mahout.common.TimingStatistics
 
getMeasure() - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer
 
getMinPreference() - Method in interface org.apache.mahout.cf.taste.eval.RecommenderEvaluator
 
getMinTime() - Method in class org.apache.mahout.common.TimingStatistics
 
getMisses() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTreeDepthCache
 
getMixture() - Method in class org.apache.mahout.clustering.dirichlet.DirichletState
 
getModel() - Method in class org.apache.mahout.classifier.discriminative.LinearTrainer
Retrieves the trained model if called after train, otherwise the raw model.
getModel() - Method in class org.apache.mahout.clustering.dirichlet.DirichletCluster
 
getModelFactory() - Method in class org.apache.mahout.clustering.dirichlet.DirichletState
 
getModelPrototype() - Method in class org.apache.mahout.clustering.dirichlet.models.VectorModelDistribution
 
getModels() - Method in class org.apache.mahout.clustering.dirichlet.DirichletState
 
getNbTrees(Configuration) - Static method in class org.apache.mahout.df.mapred.Builder
Get the number of trees for the map-reduce job.
getNbTrees() - Method in class org.apache.mahout.df.mapred.inmem.InMemInputFormat.InMemInputSplit
Return the number of trees
getNbTrees(Configuration) - Static method in class org.apache.mahout.df.mapreduce.Builder
Get the number of trees for the map-reduce job.
getNbTrees() - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
Return the number of trees
getNCalls() - Method in class org.apache.mahout.common.TimingStatistics
 
getNewModels() - Method in class org.apache.mahout.clustering.dirichlet.DirichletReducer
 
getNumClusters() - Method in class org.apache.mahout.clustering.dirichlet.DirichletState
 
getNumItems() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
 
getNumItems() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
 
getNumItems() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
 
getNumItems() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
 
getNumItems() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
 
getNumItems() - Method in interface org.apache.mahout.cf.taste.model.DataModel
 
getNumMaps(Configuration) - Static method in class org.apache.mahout.df.mapreduce.Builder
Return the value of "mapred.map.tasks".
getNumPoints() - Method in class org.apache.mahout.clustering.ClusterBase
 
getNumUsers() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
 
getNumUsers() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
 
getNumUsers() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
 
getNumUsers() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
 
getNumUsers() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
 
getNumUsers() - Method in interface org.apache.mahout.cf.taste.model.DataModel
 
getNumUsersWithPreferenceFor(long...) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
 
getNumUsersWithPreferenceFor(long...) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
 
getNumUsersWithPreferenceFor(long...) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
 
getNumUsersWithPreferenceFor(long...) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
 
getNumUsersWithPreferenceFor(long...) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
 
getNumUsersWithPreferenceFor(long...) - Method in interface org.apache.mahout.cf.taste.model.DataModel
 
getOutputPath(Configuration) - Method in class org.apache.mahout.df.mapred.Builder
Output Directory name
getOutputPath(Configuration) - Method in class org.apache.mahout.df.mapreduce.Builder
Output Directory name
getOutputTempPath() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
 
getPair() - Method in class org.apache.mahout.common.IntPairWritable.Frequency
 
getParameters() - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
 
getParameters() - Method in class org.apache.mahout.common.distance.CosineDistanceMeasure
 
getParameters() - Method in class org.apache.mahout.common.distance.ManhattanDistanceMeasure
 
getParameters() - Method in class org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure
 
getParameters() - Method in class org.apache.mahout.common.distance.WeightedDistanceMeasure
 
getParameters() - Method in class org.apache.mahout.common.parameters.AbstractParameter
 
getParameters() - Method in class org.apache.mahout.common.parameters.CompositeParameter
 
getParameters() - Method in interface org.apache.mahout.common.parameters.Parametered
 
getPartition(Bigram, Writable, int) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.ItemSimilarityEstimator.FirstPartitioner
 
getPattern() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
 
getPatterns() - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.string.TopKStringPatterns
 
getPatternWithSupport() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
 
getPointProbSum() - Method in class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
 
getPoints() - Method in class org.apache.mahout.clustering.kmeans.KMeansInfo
 
getPointTotal() - Method in class org.apache.mahout.clustering.ClusterBase
 
getPointTotal() - Method in class org.apache.mahout.clustering.kmeans.KMeansInfo
 
getPos() - Method in class org.apache.mahout.df.mapred.inmem.InMemInputFormat.InMemRecordReader
 
getPrecision() - Method in interface org.apache.mahout.cf.taste.eval.IRStatistics
See Precision.
getPrecision() - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl
 
getPredictions() - Method in class org.apache.mahout.df.callback.SingleTreePredictions
 
getPredictions() - Method in class org.apache.mahout.df.mapreduce.MapredOutput
 
getPreferenceColumn() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
 
getPreferencesForItem(long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
 
getPreferencesForItem(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
 
getPreferencesForItem(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
 
getPreferencesForItem(long) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
 
getPreferencesForItem(long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
 
getPreferencesForItem(long) - Method in interface org.apache.mahout.cf.taste.model.DataModel
 
getPreferencesFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
 
getPreferencesFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
 
getPreferencesFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
 
getPreferencesFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
 
getPreferencesFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
 
getPreferencesFromUser(long) - Method in interface org.apache.mahout.cf.taste.model.DataModel
 
getPreferenceTable() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
 
getPreferenceValue(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
 
getPreferenceValue(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
 
getPreferenceValue(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
 
getPreferenceValue(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
 
getPreferenceValue(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
 
getPreferenceValue(long, long) - Method in interface org.apache.mahout.cf.taste.model.DataModel
Retrieves the preference value for a single user and item.
getPrefValue() - Method in class org.apache.mahout.cf.taste.hadoop.ItemPrefWritable
 
getProbabilities() - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansOutput
 
getProbability() - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansInfo
 
getProgress() - Method in class org.apache.mahout.df.mapred.inmem.InMemInputFormat.InMemRecordReader
 
getProgress() - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader
 
getRandom() - Static method in class org.apache.mahout.common.RandomUtils
 
getRandom(long) - Static method in class org.apache.mahout.common.RandomUtils
 
getRandom() - Method in class org.apache.mahout.common.RandomWrapper
 
getRandomSeed(Configuration) - Static method in class org.apache.mahout.df.mapred.Builder
Returns the random seed
getRandomSeed(Configuration) - Static method in class org.apache.mahout.df.mapreduce.Builder
Returns the random seed
getRawUserData() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
This is used mostly internally to the framework, and shouldn't be relied upon otherwise.
getRawUserData() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
This is used mostly internally to the framework, and shouldn't be relied upon otherwise.
getRecall() - Method in interface org.apache.mahout.cf.taste.eval.IRStatistics
See Recall.
getRecall() - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl
 
getRecommendableItemIDs(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.file.FileDiffStorage
 
getRecommendableItemIDs(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc.AbstractJDBCDiffStorage
 
getRecommendableItemIDs(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.MemoryDiffStorage
 
getRecommendableItemIDs(long) - Method in interface org.apache.mahout.cf.taste.recommender.slopeone.DiffStorage
 
getRecommendedItems() - Method in class org.apache.mahout.cf.taste.hadoop.RecommendedItemsWritable
 
getRecordReader(InputSplit, JobConf, Reporter) - Method in class org.apache.mahout.df.mapred.inmem.InMemInputFormat
 
getRow() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
 
getRowFromHbase(String) - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
 
getRowPath() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
 
getScore() - Method in class org.apache.mahout.classifier.ClassifierResult
 
getSecond() - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.Bigram
 
getSecond() - Method in class org.apache.mahout.common.IntPairWritable
 
getSecond() - Method in class org.apache.mahout.common.LongPair
 
getSecond() - Method in class org.apache.mahout.common.Pair
 
getSeed() - Method in class org.apache.mahout.common.RandomWrapper
 
getSeed() - Method in class org.apache.mahout.df.mapred.Builder
 
getSeed() - Method in class org.apache.mahout.df.mapred.inmem.InMemInputFormat.InMemInputSplit
Return the random seed
getSeed() - Method in class org.apache.mahout.df.mapreduce.Builder
 
getSeed() - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
Return the random seed
getSigmaJFromHbase(String) - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
 
getSigmaJSigmaK() - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
 
getSigmaJSigmaKFromHbase() - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
 
getSimilarity(FastIDSet, FastIDSet) - Method in interface org.apache.mahout.cf.taste.impl.recommender.ClusterSimilarity
 
getSimilarity(FastIDSet, FastIDSet) - Method in class org.apache.mahout.cf.taste.impl.recommender.FarthestNeighborClusterSimilarity
 
getSimilarity() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
 
getSimilarity() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
 
getSimilarity(FastIDSet, FastIDSet) - Method in class org.apache.mahout.cf.taste.impl.recommender.NearestNeighborClusterSimilarity
 
getSimilarityColumn() - Method in class org.apache.mahout.cf.taste.impl.similarity.jdbc.AbstractJDBCItemSimilarity
 
getSimilarityTable() - Method in class org.apache.mahout.cf.taste.impl.similarity.jdbc.AbstractJDBCItemSimilarity
 
getSize() - Method in class org.apache.mahout.df.mapred.partial.Step0Job.Step0Output
 
getSize() - Method in class org.apache.mahout.df.mapreduce.partial.Step0Job.Step0Output
 
getSplits(JobConf, int) - Method in class org.apache.mahout.df.mapred.inmem.InMemInputFormat
 
getSplits(JobContext) - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat
 
getSplits(Configuration, int) - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat
 
getStandardDeviation() - Method in class org.apache.mahout.cf.taste.impl.common.CompactRunningAverageAndStdDev
 
getStandardDeviation() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev
 
getStandardDeviation() - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev
 
getStandardDeviation() - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverageAndStdDev
 
getStd() - Method in class org.apache.mahout.clustering.kmeans.Cluster
 
getStdDev() - Method in class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalModel
 
getStdDev() - Method in class org.apache.mahout.clustering.dirichlet.models.NormalModel
 
getStdDevTime() - Method in class org.apache.mahout.common.TimingStatistics
 
getString() - Method in class org.apache.mahout.df.node.CategoricalNode
 
getString() - Method in class org.apache.mahout.df.node.Leaf
 
getString() - Method in class org.apache.mahout.df.node.MockLeaf
 
getString() - Method in class org.apache.mahout.df.node.Node
 
getString() - Method in class org.apache.mahout.df.node.NumericalNode
 
getStringValue() - Method in class org.apache.mahout.common.parameters.AbstractParameter
 
getStringValue() - Method in class org.apache.mahout.common.parameters.ClassParameter
 
getStringValue() - Method in class org.apache.mahout.common.parameters.CompositeParameter
 
getStringValue() - Method in class org.apache.mahout.common.parameters.FileParameter
 
getStringValue() - Method in interface org.apache.mahout.common.parameters.Parameter
 
getStringValue() - Method in class org.apache.mahout.common.parameters.StringParameter
 
getSumSquaredTime() - Method in class org.apache.mahout.common.TimingStatistics
 
getSumTime() - Method in class org.apache.mahout.common.TimingStatistics
 
getT1() - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyClusterer
 
getT2() - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyClusterer
 
getTable() - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
 
getTableCache() - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
 
getText(int) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.TupleWritable
 
getThetaNormalizer() - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
 
getTopItemItemSimilarities(int, Iterable<GenericItemSimilarity.ItemItemSimilarity>) - Static method in class org.apache.mahout.cf.taste.impl.recommender.TopItems
Thanks to tsmorton for suggesting this functionality and writing part of the code.
getTopItems(int, LongPrimitiveIterator, IDRescorer, TopItems.Estimator<Long>) - Static method in class org.apache.mahout.cf.taste.impl.recommender.TopItems
 
getTopUsers(int, LongPrimitiveIterator, IDRescorer, TopItems.Estimator<Long>) - Static method in class org.apache.mahout.cf.taste.impl.recommender.TopItems
 
getTopUserUserSimilarities(int, Iterable<GenericUserSimilarity.UserUserSimilarity>) - Static method in class org.apache.mahout.cf.taste.impl.recommender.TopItems
 
getTotal(String) - Method in class org.apache.mahout.classifier.ConfusionMatrix
 
getTotalCount() - Method in class org.apache.mahout.clustering.dirichlet.DirichletCluster
 
getTotalWeight() - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
 
getTransformedValue(Preference) - Method in class org.apache.mahout.cf.taste.impl.transforms.InverseUserFrequency
 
getTransformedValue(Preference) - Method in class org.apache.mahout.cf.taste.impl.transforms.ZScore
 
getTransformedValue(Preference) - Method in interface org.apache.mahout.cf.taste.transforms.PreferenceTransform
 
getTree() - Method in class org.apache.mahout.df.mapreduce.MapredOutput
 
getTree(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTreeDepthCache
 
getTreeBuilder() - Method in class org.apache.mahout.df.mapred.Builder
 
getTreeBuilder(Configuration) - Static method in class org.apache.mahout.df.mapred.Builder
 
getTreeBuilder() - Method in class org.apache.mahout.df.mapred.MapredMapper
 
getTreeBuilder() - Method in class org.apache.mahout.df.mapreduce.Builder
 
getTreeBuilder(Configuration) - Static method in class org.apache.mahout.df.mapreduce.Builder
 
getTreeBuilder() - Method in class org.apache.mahout.df.mapreduce.MapredMapper
 
getTrees() - Method in class org.apache.mahout.df.DecisionForest
 
getType() - Method in class org.apache.mahout.df.node.CategoricalNode
 
getType() - Method in class org.apache.mahout.df.node.Leaf
 
getType() - Method in class org.apache.mahout.df.node.MockLeaf
 
getType() - Method in class org.apache.mahout.df.node.Node
 
getType() - Method in class org.apache.mahout.df.node.NumericalNode
 
getTypes() - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.TupleWritable.Field
 
getUserID(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
 
getUserID() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanPreference
 
getUserID(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
 
getUserID(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
 
getUserID() - Method in class org.apache.mahout.cf.taste.impl.model.GenericPreference
 
getUserID(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
 
getUserID() - Method in interface org.apache.mahout.cf.taste.model.Preference
 
getUserID(int) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
 
getUserID1() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity
 
getUserID2() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity
 
getUserIDColumn() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
 
getUserIDs() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
 
getUserIDs() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
 
getUserIDs() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
 
getUserIDs() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
 
getUserIDs() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
 
getUserIDs() - Method in interface org.apache.mahout.cf.taste.model.DataModel
 
getUserInstance() - Static method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
 
getUserNeighborhood(long) - Method in class org.apache.mahout.cf.taste.impl.neighborhood.CachingUserNeighborhood
 
getUserNeighborhood(long) - Method in class org.apache.mahout.cf.taste.impl.neighborhood.NearestNUserNeighborhood
 
getUserNeighborhood(long) - Method in class org.apache.mahout.cf.taste.impl.neighborhood.ThresholdUserNeighborhood
 
getUserNeighborhood(long) - Method in interface org.apache.mahout.cf.taste.neighborhood.UserNeighborhood
 
getUserUserPairInstance() - Static method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
 
getVal() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
 
getValue(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
 
getValue() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanPreference
 
getValue(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
 
getValue(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
 
getValue() - Method in class org.apache.mahout.cf.taste.impl.model.GenericPreference
 
getValue(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
 
getValue() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericRecommendedItem
 
getValue() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity
 
getValue() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity
 
getValue() - Method in interface org.apache.mahout.cf.taste.model.Preference
 
getValue(int) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
 
getValue() - Method in interface org.apache.mahout.cf.taste.recommender.RecommendedItem
A value expressing the strength of the preference for the recommended item.
getVector() - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansInfo
 
getVocabCount() - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
 
getVocabCountFromHbase() - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
 
getWeight(String, String, String) - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
 
getWeight(String, String) - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
 
getWeight(String, String, String) - Method in class org.apache.mahout.classifier.bayes.datastore.InMemoryBayesDatastore
 
getWeight(String, String) - Method in class org.apache.mahout.classifier.bayes.datastore.InMemoryBayesDatastore
 
getWeight(String, String, String) - Method in interface org.apache.mahout.classifier.bayes.interfaces.Datastore
Gets a double value from the Matrix pointed to by the matrixName from its cell pointed to by the row and column string
getWeight(String, String) - Method in interface org.apache.mahout.classifier.bayes.interfaces.Datastore
Gets a double value from the Vector pointed to by the vectorName from its cell pointed to by the index
getWeightedPointTotal() - Method in class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
 
getWeightFromHbase(String, String) - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
 
getWeights() - Method in class org.apache.mahout.common.distance.WeightedDistanceMeasure
 
getWordCounts() - Method in class org.apache.mahout.clustering.lda.LDAInference.InferredDocument
 
greaterOrEquals(int, double) - Static method in class org.apache.mahout.df.data.conditions.Condition
Condition that checks if the given attribute has a value "greater or equal" than the given value
GreaterOrEquals - Class in org.apache.mahout.df.data.conditions
True if a given attribute has a value "greater or equal" than a given value
GreaterOrEquals(int, double) - Constructor for class org.apache.mahout.df.data.conditions.GreaterOrEquals
 

H

HadoopUtil - Class in org.apache.mahout.common
 
handleArgs(String[]) - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob
 
hash(String) - Method in class org.apache.mahout.cf.taste.impl.model.AbstractIDMigrator
 
hashCode() - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.Bigram.Frequency
 
hashCode() - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.Bigram
 
hashCode() - Method in class org.apache.mahout.cf.taste.hadoop.ItemItemWritable
 
hashCode() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericRecommendedItem
 
hashCode() - Method in class org.apache.mahout.cf.taste.impl.recommender.SimilarUser
 
hashCode() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity
 
hashCode() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity
 
hashCode() - Method in class org.apache.mahout.common.IntegerTuple
 
hashCode() - Method in class org.apache.mahout.common.IntPairWritable.Frequency
 
hashCode() - Method in class org.apache.mahout.common.IntPairWritable
 
hashCode() - Method in class org.apache.mahout.common.LongPair
 
hashCode() - Method in class org.apache.mahout.common.Pair
 
hashCode() - Method in class org.apache.mahout.common.StringTuple
 
hashCode() - Method in class org.apache.mahout.df.callback.ForestPredictions
 
hashCode() - Method in class org.apache.mahout.df.data.Data
 
hashCode() - Method in class org.apache.mahout.df.data.Dataset
 
hashCode() - Method in class org.apache.mahout.df.data.Instance
 
hashCode() - Method in class org.apache.mahout.df.DecisionForest
 
hashCode() - Method in class org.apache.mahout.df.mapred.inmem.InMemInputFormat.InMemInputSplit
 
hashCode() - Method in class org.apache.mahout.df.mapred.partial.Step0Job.Step0Output
 
hashCode() - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
 
hashCode() - Method in class org.apache.mahout.df.mapreduce.MapredOutput
 
hashCode() - Method in class org.apache.mahout.df.mapreduce.partial.Step0Job.Step0Output
 
hashCode() - Method in class org.apache.mahout.df.node.CategoricalNode
 
hashCode() - Method in class org.apache.mahout.df.node.Leaf
 
hashCode() - Method in class org.apache.mahout.df.node.NumericalNode
 
hashCode() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
 
hashDouble(double) - Static method in class org.apache.mahout.common.RandomUtils
 
hashFloat(float) - Static method in class org.apache.mahout.common.RandomUtils
 
hashLong(long) - Static method in class org.apache.mahout.common.RandomUtils
 
hasNext() - Method in class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator
 
hasNext() - Method in class org.apache.mahout.cf.taste.impl.common.SamplingLongPrimitiveIterator
 
hasNext() - Method in class org.apache.mahout.common.FileLineIterator
 
hasNext() - Method in class org.apache.mahout.common.iterator.ArrayIterator
 
hasNext() - Method in class org.apache.mahout.common.iterator.DelegatingIterator
 
hasNext() - Method in class org.apache.mahout.common.iterator.EmptyIterator
 
hasNext() - Method in class org.apache.mahout.common.iterator.PermutingIterator
 
hasNext() - Method in class org.apache.mahout.common.iterator.SamplingIterator
 
hasNext() - Method in class org.apache.mahout.common.StringRecordIterator
 
hasNext() - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.integer.IntegerTupleIterator
 
hasNext() - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.string.StringTupleIterator
 
hasNext() - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.TransactionIterator
 
hasNext() - Method in class org.apache.mahout.fpm.pfpgrowth.MultiTransactionTreeIterator
 
hasNext() - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree.TransactionTreeIterator
 
hasNext() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.DistributedMatrixIterator
 
hasPreferenceValues() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
 
hasPreferenceValues() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
 
hasPreferenceValues() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
 
hasPreferenceValues() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractBooleanPrefJDBCDataModel
 
hasPreferenceValues() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
 
hasPreferenceValues() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
 
hasPreferenceValues() - Method in interface org.apache.mahout.cf.taste.model.DataModel
 
hasPrefWithItemID(long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
 
hasPrefWithItemID(long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
 
hasPrefWithItemID(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
 
hasPrefWithItemID(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
 
hasPrefWithItemID(long) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
 
hasPrefWithUserID(long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
 
hasPrefWithUserID(long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
 
hasPrefWithUserID(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
 
hasPrefWithUserID(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
 
hasPrefWithUserID(long) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
 
HBASE_COLUMN_FAMILY - Static variable in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesConstants
 
HBASE_COUNTS_ROW - Static variable in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesConstants
 
HBaseBayesDatastore - Class in org.apache.mahout.classifier.bayes.datastore
Class implementing the Datastore for Algorithms to read HBase based model
HBaseBayesDatastore(String, Parameters) - Constructor for class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
 
help(Parametered) - Static method in class org.apache.mahout.common.parameters.Parametered.ParameteredGeneralizations
 
helpOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
Returns a default command line option for help.
HybridCache<K,V> - Class in org.apache.mahout.common.cache
 
HybridCache(int, int) - Constructor for class org.apache.mahout.common.cache.HybridCache
 

I

id - Variable in class org.apache.mahout.df.data.Instance
instance unique id
identicalLabel() - Method in class org.apache.mahout.df.data.Data
checks if all the vectors have identical label values
IDMigrator - Interface in org.apache.mahout.cf.taste.model
Mahout 0.2 changed the framework to operate only in terms of numeric (long) ID values for users and items.
IDRescorer - Interface in org.apache.mahout.cf.taste.recommender
A Rescorer which operates on long primitive IDs, rather than arbitrary Objects.
ig - Variable in class org.apache.mahout.df.split.Split
Information Gain of the split
IgSplit - Class in org.apache.mahout.df.split
Computes the best split using the Information Gain measure
IgSplit() - Constructor for class org.apache.mahout.df.split.IgSplit
 
importEvaluations(FileSystem, JobConf, Path, List<Double>) - Static method in class org.apache.mahout.ga.watchmaker.OutputUtils
Reads back the evaluations.
incrementCount(String, String, int) - Method in class org.apache.mahout.classifier.ConfusionMatrix
 
incrementCount(String, String) - Method in class org.apache.mahout.classifier.ConfusionMatrix
 
incrementToken() - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureMapper.IteratorTokenStream
 
indexof(Instance) - Method in class org.apache.mahout.df.data.Data
Returns the index of the first occurrence of the element in this data
infer(Vector) - Method in class org.apache.mahout.clustering.lda.LDAInference
Performs inference on the given document, returning an InferredDocument.
inferPreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.AveragingPreferenceInferrer
 
inferPreference(long, long) - Method in interface org.apache.mahout.cf.taste.similarity.PreferenceInferrer
Infers the given user's preference value for an item.
initCounts(Data, double[]) - Method in class org.apache.mahout.df.split.OptIgSplit
Instantiates the counting arrays
initialize(Iterable<String>) - Method in class org.apache.mahout.cf.taste.impl.model.AbstractIDMigrator
 
initialize(Iterable<String>) - Method in interface org.apache.mahout.cf.taste.model.IDMigrator
Make the mapping aware of the given string IDs.
initialize(Datastore) - Method in class org.apache.mahout.classifier.bayes.algorithm.BayesAlgorithm
 
initialize(Datastore) - Method in class org.apache.mahout.classifier.bayes.algorithm.CBayesAlgorithm
 
initialize() - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
 
initialize() - Method in class org.apache.mahout.classifier.bayes.datastore.InMemoryBayesDatastore
 
initialize(Datastore) - Method in interface org.apache.mahout.classifier.bayes.interfaces.Algorithm
Initialize the data store and verifies the data in it.
initialize() - Method in interface org.apache.mahout.classifier.bayes.interfaces.Datastore
Initializes the and loads the model into memory/cache if necessary
initialize() - Method in class org.apache.mahout.classifier.bayes.model.ClassifierContext
Initializes the Context.
initialize(InputSplit, TaskAttemptContext) - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader
 
initRandom(InMemInputFormat.InMemInputSplit) - Method in class org.apache.mahout.df.mapred.inmem.InMemMapper
 
initRandom(InMemInputFormat.InMemInputSplit) - Method in class org.apache.mahout.df.mapreduce.inmem.InMemMapper
 
InMemBuilder - Class in org.apache.mahout.df.mapred.inmem
MapReduce implementation where each mapper loads a full copy of the data in-memory.
InMemBuilder(TreeBuilder, Path, Path, Long, Configuration) - Constructor for class org.apache.mahout.df.mapred.inmem.InMemBuilder
 
InMemBuilder(TreeBuilder, Path, Path) - Constructor for class org.apache.mahout.df.mapred.inmem.InMemBuilder
 
InMemBuilder - Class in org.apache.mahout.df.mapreduce.inmem
MapReduce implementation where each mapper loads a full copy of the data in-memory.
InMemBuilder(TreeBuilder, Path, Path, Long, Configuration) - Constructor for class org.apache.mahout.df.mapreduce.inmem.InMemBuilder
 
InMemBuilder(TreeBuilder, Path, Path) - Constructor for class org.apache.mahout.df.mapreduce.inmem.InMemBuilder
 
InMemInputFormat - Class in org.apache.mahout.df.mapred.inmem
Custom InputFormat that generates InputSplits given the desired number of trees.
each input split contains a subset of the trees.
The number of splits is equal to the number of requested splits
InMemInputFormat() - Constructor for class org.apache.mahout.df.mapred.inmem.InMemInputFormat
 
InMemInputFormat - Class in org.apache.mahout.df.mapreduce.inmem
Custom InputFormat that generates InputSplits given the desired number of trees.
each input split contains a subset of the trees.
The number of splits is equal to the number of requested splits
InMemInputFormat() - Constructor for class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat
 
InMemInputFormat.InMemInputSplit - Class in org.apache.mahout.df.mapred.inmem
Custom InputSplit that indicates how many trees are built by each mapper
InMemInputFormat.InMemInputSplit() - Constructor for class org.apache.mahout.df.mapred.inmem.InMemInputFormat.InMemInputSplit
 
InMemInputFormat.InMemInputSplit(int, int, Long) - Constructor for class org.apache.mahout.df.mapred.inmem.InMemInputFormat.InMemInputSplit
 
InMemInputFormat.InMemInputSplit - Class in org.apache.mahout.df.mapreduce.inmem
Custom InputSplit that indicates how many trees are built by each mapper
InMemInputFormat.InMemInputSplit() - Constructor for class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
 
InMemInputFormat.InMemInputSplit(int, int, Long) - Constructor for class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
 
InMemInputFormat.InMemRecordReader - Class in org.apache.mahout.df.mapred.inmem
 
InMemInputFormat.InMemRecordReader(InMemInputFormat.InMemInputSplit) - Constructor for class org.apache.mahout.df.mapred.inmem.InMemInputFormat.InMemRecordReader
 
InMemInputFormat.InMemRecordReader - Class in org.apache.mahout.df.mapreduce.inmem
 
InMemInputFormat.InMemRecordReader(InMemInputFormat.InMemInputSplit) - Constructor for class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader
 
InMemMapper - Class in org.apache.mahout.df.mapred.inmem
In-memory mapper that grows the trees using a full copy of the data loaded in-memory.
InMemMapper() - Constructor for class org.apache.mahout.df.mapred.inmem.InMemMapper
 
InMemMapper - Class in org.apache.mahout.df.mapreduce.inmem
In-memory mapper that grows the trees using a full copy of the data loaded in-memory.
InMemMapper() - Constructor for class org.apache.mahout.df.mapreduce.inmem.InMemMapper
 
InMemoryBayesDatastore - Class in org.apache.mahout.classifier.bayes.datastore
Class implementing the Datastore for Algorithms to read In-Memory model
InMemoryBayesDatastore(Parameters) - Constructor for class org.apache.mahout.classifier.bayes.datastore.InMemoryBayesDatastore
 
INPUT_VECTOR - Static variable in class org.apache.mahout.math.hadoop.TimesSquaredJob
 
inputOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
Returns a default command line option for input directory specification.
insert(Pattern) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FrequentPatternMaxHeap
 
Instance - Class in org.apache.mahout.df.data
Represents one data instance.
Instance(int, Vector, int) - Constructor for class org.apache.mahout.df.data.Instance
 
integerAt(int) - Method in class org.apache.mahout.common.IntegerTuple
Fetches the string at the given location
IntegerParameter - Class in org.apache.mahout.common.parameters
 
IntegerParameter(String, String, JobConf, int, String) - Constructor for class org.apache.mahout.common.parameters.IntegerParameter
 
IntegerStringOutputConverter - Class in org.apache.mahout.fpm.pfpgrowth.convertors.integer
Collects the Patterns with Integer id and Long support and converts them to Pattern of Strings based on a reverse feature lookup map.
IntegerStringOutputConverter(OutputCollector<Text, TopKStringPatterns>, List<String>) - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.integer.IntegerStringOutputConverter
 
IntegerTuple - Class in org.apache.mahout.common
An Ordered List of Integers which can be used in a Hadoop Map/Reduce Job
IntegerTuple() - Constructor for class org.apache.mahout.common.IntegerTuple
 
IntegerTuple(Integer) - Constructor for class org.apache.mahout.common.IntegerTuple
 
IntegerTuple(Collection<Integer>) - Constructor for class org.apache.mahout.common.IntegerTuple
 
IntegerTuple(Integer[]) - Constructor for class org.apache.mahout.common.IntegerTuple
 
IntegerTupleIterator - Class in org.apache.mahout.fpm.pfpgrowth.convertors.integer
Iterates over an integer tuple and output it as a list
IntegerTupleIterator(Iterator<IntegerTuple>) - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.integer.IntegerTupleIterator
 
InterResults - Class in org.apache.mahout.df.mapreduce.partial
Stores/Loads the intermediate results of step1 needed by step2.
This class should not be needed outside of the partial package, so all its methods are protected.
intersectionSize(FastIDSet) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
Convenience method to quickly compute just the size of the intersection with another .
IntPairWritable - Class in org.apache.mahout.common
A WritableComparable which encapsulates an ordered pair of signed integers.
IntPairWritable() - Constructor for class org.apache.mahout.common.IntPairWritable
 
IntPairWritable(IntPairWritable) - Constructor for class org.apache.mahout.common.IntPairWritable
 
IntPairWritable(int, int) - Constructor for class org.apache.mahout.common.IntPairWritable
 
IntPairWritable.Comparator - Class in org.apache.mahout.common
 
IntPairWritable.Comparator() - Constructor for class org.apache.mahout.common.IntPairWritable.Comparator
 
IntPairWritable.FirstGroupingComparator - Class in org.apache.mahout.common
Compare only the first part of the pair, so that reduce is called once for each value of the first part.
IntPairWritable.FirstGroupingComparator() - Constructor for class org.apache.mahout.common.IntPairWritable.FirstGroupingComparator
 
IntPairWritable.Frequency - Class in org.apache.mahout.common
A wrapper class that associates pairs with frequency (Occurences)
IntPairWritable.Frequency(IntPairWritable, double) - Constructor for class org.apache.mahout.common.IntPairWritable.Frequency
 
InvalidDatastoreException - Exception in org.apache.mahout.classifier.bayes.exceptions
Exception thrown when illegal access is done on the datastore or when the backend storage goes down.
InvalidDatastoreException() - Constructor for exception org.apache.mahout.classifier.bayes.exceptions.InvalidDatastoreException
 
InvalidDatastoreException(String) - Constructor for exception org.apache.mahout.classifier.bayes.exceptions.InvalidDatastoreException
 
InverseUserFrequency - Class in org.apache.mahout.cf.taste.impl.transforms
Implements an "inverse user frequency" transformation, which boosts preference values for items for which few users have expressed a preference, and reduces preference values for items for which many users have expressed a preference.
InverseUserFrequency(DataModel, double) - Constructor for class org.apache.mahout.cf.taste.impl.transforms.InverseUserFrequency
Creates a transformation.
InvertedRunningAverage - Class in org.apache.mahout.cf.taste.impl.common
 
InvertedRunningAverage(RunningAverage) - Constructor for class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverage
 
InvertedRunningAverageAndStdDev - Class in org.apache.mahout.cf.taste.impl.common
 
InvertedRunningAverageAndStdDev(RunningAverageAndStdDev) - Constructor for class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev
 
IOUtils - Class in org.apache.mahout.common
I/O-related utility methods that don't have a better home.
IRStatistics - Interface in org.apache.mahout.cf.taste.eval
Implementations encapsulate information retrieval-related statistics about a Recommender's recommendations.
IRStatisticsImpl - Class in org.apache.mahout.cf.taste.impl.eval
 
IS_SPARSE_OUTPUT - Static variable in class org.apache.mahout.math.hadoop.TimesSquaredJob
 
isCategorical() - Method in enum org.apache.mahout.df.data.Dataset.Attribute
 
isConverged() - Method in class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
 
isConverged() - Method in class org.apache.mahout.clustering.kmeans.Cluster
 
isConverged() - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopy
 
isEmpty() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
 
isEmpty() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
 
isEmpty() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
 
isEmpty() - Method in class org.apache.mahout.df.data.Data
Returns true is this data contains no element
isEmpty() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
isFiltered(T) - Method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
 
isFiltered(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
 
isFiltered(long) - Method in interface org.apache.mahout.cf.taste.recommender.IDRescorer
Returns true to exclude the given thing.
isFiltered(T) - Method in interface org.apache.mahout.cf.taste.recommender.Rescorer
Returns true to exclude the given thing.
isFull() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FrequentPatternMaxHeap
 
isIdentical() - Method in class org.apache.mahout.df.data.Data
checks if all the vectors have identical attribute values
isIgnored() - Method in enum org.apache.mahout.df.data.Dataset.Attribute
 
isLabel() - Method in enum org.apache.mahout.df.data.Dataset.Attribute
 
isNatural() - Method in class org.apache.mahout.ga.watchmaker.MahoutFitnessEvaluator
 
isNoOutput() - Method in class org.apache.mahout.df.mapred.MapredMapper
 
isNoOutput() - Method in class org.apache.mahout.df.mapreduce.MapredMapper
 
isNotPrime(int) - Static method in class org.apache.mahout.common.RandomUtils
 
isNumerical() - Method in enum org.apache.mahout.df.data.Dataset.Attribute
 
isNumerical(int) - Method in class org.apache.mahout.df.data.Dataset
Is this a numerical attribute ?
isOobEstimate(Configuration) - Static method in class org.apache.mahout.df.mapred.Builder
 
isOobEstimate() - Method in class org.apache.mahout.df.mapred.MapredMapper
 
isOobEstimate(Configuration) - Static method in class org.apache.mahout.df.mapreduce.Builder
 
isOobEstimate() - Method in class org.apache.mahout.df.mapreduce.MapredMapper
 
isOutput(Configuration) - Static method in class org.apache.mahout.df.mapred.Builder
Used only for DEBUG purposes.
isOutput(Configuration) - Static method in class org.apache.mahout.df.mapreduce.Builder
Used only for DEBUG purposes.
isStep2(Configuration) - Static method in class org.apache.mahout.df.mapred.partial.PartialBuilder
Indicates if we should run the second step of the builder.
This parameter is only meant for debuging, so we keep it protected.
isStep2(Configuration) - Static method in class org.apache.mahout.df.mapreduce.partial.PartialBuilder
Indicates if we should run the second step of the builder.
This parameter is only meant for debuging, so we keep it protected.
isSubPatternOf(Pattern) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
 
isTreeEmpty() - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
 
isTrueFor(Instance) - Method in class org.apache.mahout.df.data.conditions.Condition
Returns true is the checked instance matches the condition
isTrueFor(Instance) - Method in class org.apache.mahout.df.data.conditions.Equals
 
isTrueFor(Instance) - Method in class org.apache.mahout.df.data.conditions.GreaterOrEquals
 
isTrueFor(Instance) - Method in class org.apache.mahout.df.data.conditions.Lesser
 
isWrapperFor(Class<?>) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.ConnectionPoolDataSource
 
ItemAverageRecommender - Class in org.apache.mahout.cf.taste.impl.recommender
A simple recommender that always estimates preference for an item to be the average of all known preference values for that item.
ItemAverageRecommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.ItemAverageRecommender
 
ItemBasedRecommender - Interface in org.apache.mahout.cf.taste.recommender
Interface implemented by "item-based" recommenders.
ItemBigramGenerator - Class in org.apache.mahout.cf.taste.hadoop.cooccurence
 
ItemBigramGenerator() - Constructor for class org.apache.mahout.cf.taste.hadoop.cooccurence.ItemBigramGenerator
 
ItemBigramGenerator.UserItemMapper - Class in org.apache.mahout.cf.taste.hadoop.cooccurence
 
ItemBigramGenerator.UserItemMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.cooccurence.ItemBigramGenerator.UserItemMapper
 
ItemBigramGenerator.UserItemReducer - Class in org.apache.mahout.cf.taste.hadoop.cooccurence
 
ItemBigramGenerator.UserItemReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.cooccurence.ItemBigramGenerator.UserItemReducer
 
ItemIDIndexMapper - Class in org.apache.mahout.cf.taste.hadoop.item
 
ItemIDIndexMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.ItemIDIndexMapper
 
ItemIDIndexReducer - Class in org.apache.mahout.cf.taste.hadoop.item
 
ItemIDIndexReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.ItemIDIndexReducer
 
ItemItemWritable - Class in org.apache.mahout.cf.taste.hadoop
A WritableComparable encapsulating two items.
ItemItemWritable() - Constructor for class org.apache.mahout.cf.taste.hadoop.ItemItemWritable
 
ItemItemWritable(long, long) - Constructor for class org.apache.mahout.cf.taste.hadoop.ItemItemWritable
 
ItemPrefWritable - Class in org.apache.mahout.cf.taste.hadoop
A Writable encapsulating an item ID and a preference value.
ItemPrefWritable() - Constructor for class org.apache.mahout.cf.taste.hadoop.ItemPrefWritable
 
ItemPrefWritable(long, float) - Constructor for class org.apache.mahout.cf.taste.hadoop.ItemPrefWritable
 
ItemPrefWritable(ItemPrefWritable) - Constructor for class org.apache.mahout.cf.taste.hadoop.ItemPrefWritable
 
itemSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingItemSimilarity
 
itemSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity
Returns the similarity between two items.
itemSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.jdbc.AbstractJDBCItemSimilarity
 
itemSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.LogLikelihoodSimilarity
 
itemSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.TanimotoCoefficientSimilarity
 
ItemSimilarity - Interface in org.apache.mahout.cf.taste.similarity
Implementations of this interface define a notion of similarity between two items.
itemSimilarity(long, long) - Method in interface org.apache.mahout.cf.taste.similarity.ItemSimilarity
Returns the degree of similarity, of two items, based on the preferences that users have expressed for the items.
ItemSimilarityEstimator - Class in org.apache.mahout.cf.taste.hadoop.cooccurence
This class feeds into all the item bigrams generated with ItemBigramGenerator.
ItemSimilarityEstimator() - Constructor for class org.apache.mahout.cf.taste.hadoop.cooccurence.ItemSimilarityEstimator
 
ItemSimilarityEstimator.FirstPartitioner - Class in org.apache.mahout.cf.taste.hadoop.cooccurence
Partition based on the first part of the bigram.
ItemSimilarityEstimator.FirstPartitioner() - Constructor for class org.apache.mahout.cf.taste.hadoop.cooccurence.ItemSimilarityEstimator.FirstPartitioner
 
ItemSimilarityEstimator.ItemItemCombiner - Class in org.apache.mahout.cf.taste.hadoop.cooccurence
 
ItemSimilarityEstimator.ItemItemCombiner() - Constructor for class org.apache.mahout.cf.taste.hadoop.cooccurence.ItemSimilarityEstimator.ItemItemCombiner
 
ItemSimilarityEstimator.ItemItemMapper - Class in org.apache.mahout.cf.taste.hadoop.cooccurence
Output K -> (item1, item2), V -> ONE
ItemSimilarityEstimator.ItemItemMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.cooccurence.ItemSimilarityEstimator.ItemItemMapper
 
ItemSimilarityEstimator.ItemItemReducer - Class in org.apache.mahout.cf.taste.hadoop.cooccurence
All sorted bigrams for item1 are recieved in reduce.
ItemSimilarityEstimator.ItemItemReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.cooccurence.ItemSimilarityEstimator.ItemItemReducer
 
ItemUserAverageRecommender - Class in org.apache.mahout.cf.taste.impl.recommender
Like ItemAverageRecommender, except that estimated preferences are adjusted for the users' average preference value.
ItemUserAverageRecommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.ItemUserAverageRecommender
 
iterableToList(Iterable<K>) - Static method in class org.apache.mahout.common.iterator.IteratorUtils
 
iterableToList(Iterable<K>, Comparator<K>) - Static method in class org.apache.mahout.common.iterator.IteratorUtils
 
iterateAll() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
 
ITERATION_NUMBER - Static variable in interface org.apache.mahout.clustering.kmeans.KMeansConfigKeys
The number of iterations that have taken place
iterator() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
 
iterator() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
 
iterator() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
 
iterator() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
 
iterator() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
 
iterator() - Method in class org.apache.mahout.common.FileLineIterable
 
iterator() - Method in class org.apache.mahout.common.iterator.ArrayIterator
 
iterator() - Method in class org.apache.mahout.common.iterator.EmptyIterable
 
iterator() - Method in class org.apache.mahout.common.iterator.IteratorIterable
 
iterator() - Method in class org.apache.mahout.common.iterator.SamplingIterable
 
iterator() - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.string.TopKStringPatterns
 
iterator() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
 
IteratorIterable<T> - Class in org.apache.mahout.common.iterator
Simple utility class that makes an Iterator Iterable by returning the Iterator itself.
IteratorIterable(Iterator<T>) - Constructor for class org.apache.mahout.common.iterator.IteratorIterable
Constructs an for an Iterator.
IteratorUtils - Class in org.apache.mahout.common.iterator
Iterator-related methods without a better home.

J

JDBCDataModel - Interface in org.apache.mahout.cf.taste.model
 
job() - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
 
JobExecutor - Class in org.apache.mahout.classifier.bayes.mapreduce.common
Base class for executing the Bayes Map/Reduce Jobs
JsonClusterAdapter - Class in org.apache.mahout.clustering.dirichlet
 
JsonClusterAdapter() - Constructor for class org.apache.mahout.clustering.dirichlet.JsonClusterAdapter
 
JsonModelAdapter - Class in org.apache.mahout.clustering.dirichlet
 
JsonModelAdapter() - Constructor for class org.apache.mahout.clustering.dirichlet.JsonModelAdapter
 

K

K - Static variable in class org.apache.mahout.clustering.kmeans.RandomSeedGenerator
 
keySet() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
 
keySetIterator() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
 
KMeansClusterer - Class in org.apache.mahout.clustering.kmeans
This class implements the k-means clustering algorithm.
KMeansClusterer(DistanceMeasure) - Constructor for class org.apache.mahout.clustering.kmeans.KMeansClusterer
Init the k-means clusterer with the distance measure to use for comparison.
KMeansClusterMapper - Class in org.apache.mahout.clustering.kmeans
 
KMeansClusterMapper() - Constructor for class org.apache.mahout.clustering.kmeans.KMeansClusterMapper
 
KMeansCombiner - Class in org.apache.mahout.clustering.kmeans
 
KMeansCombiner() - Constructor for class org.apache.mahout.clustering.kmeans.KMeansCombiner
 
KMeansConfigKeys - Interface in org.apache.mahout.clustering.kmeans
This class holds all config keys that are relevant to be used in the KMeans MapReduce JobConf.
KMeansDriver - Class in org.apache.mahout.clustering.kmeans
 
KMeansInfo - Class in org.apache.mahout.clustering.kmeans
 
KMeansInfo() - Constructor for class org.apache.mahout.clustering.kmeans.KMeansInfo
 
KMeansInfo(int, Vector) - Constructor for class org.apache.mahout.clustering.kmeans.KMeansInfo
 
KMeansMapper - Class in org.apache.mahout.clustering.kmeans
 
KMeansMapper() - Constructor for class org.apache.mahout.clustering.kmeans.KMeansMapper
 
KMeansReducer - Class in org.apache.mahout.clustering.kmeans
 
KMeansReducer() - Constructor for class org.apache.mahout.clustering.kmeans.KMeansReducer
 
KnnItemBasedRecommender - Class in org.apache.mahout.cf.taste.impl.recommender.knn
The weights to compute the final predicted preferences are calculated using linear interpolation, through an Optimizer.
KnnItemBasedRecommender(DataModel, ItemSimilarity, Optimizer, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.knn.KnnItemBasedRecommender
 
kOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
Returns a default command line option for specification of numbers of clusters to create.

L

L1Model - Class in org.apache.mahout.clustering.dirichlet.models
 
L1Model() - Constructor for class org.apache.mahout.clustering.dirichlet.models.L1Model
 
L1Model(Vector) - Constructor for class org.apache.mahout.clustering.dirichlet.models.L1Model
 
L1ModelDistribution - Class in org.apache.mahout.clustering.dirichlet.models
An implementation of the ModelDistribution interface suitable for testing the DirichletCluster algorithm.
L1ModelDistribution(VectorWritable) - Constructor for class org.apache.mahout.clustering.dirichlet.models.L1ModelDistribution
 
L1ModelDistribution() - Constructor for class org.apache.mahout.clustering.dirichlet.models.L1ModelDistribution
 
label - Variable in class org.apache.mahout.df.data.Instance
instance label code.
use Dataset.labels to get the real label value
LABEL_COUNT - Static variable in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesConstants
 
LABEL_SUM - Static variable in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesConstants
 
LABEL_THETA_NORMALIZER - Static variable in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesConstants
 
labelCode(String) - Method in class org.apache.mahout.df.data.Dataset
Returns the code used to represent the label value in the data
labels() - Method in class org.apache.mahout.df.data.Dataset
 
LDADriver - Class in org.apache.mahout.clustering.lda
Estimates an LDA model from a corpus of documents, which are SparseVectors of word counts.
LDAInference - Class in org.apache.mahout.clustering.lda
Class for performing infererence on a document, which involves computing (an approximation to) p(word|topic) for each word and topic, and a prior distribution p(topic) for each topic.
LDAInference(LDAState) - Constructor for class org.apache.mahout.clustering.lda.LDAInference
 
LDAInference.InferredDocument - Class in org.apache.mahout.clustering.lda
An estimate of the probabilitys for each document.
LDAMapper - Class in org.apache.mahout.clustering.lda
Runs inference on the input documents (which are sparse vectors of word counts) and outputs the sufficient statistics for the word-topic assignments.
LDAMapper() - Constructor for class org.apache.mahout.clustering.lda.LDAMapper
 
LDAReducer - Class in org.apache.mahout.clustering.lda
A very simple reducer which simply logSums the input doubles and outputs a new double for sufficient statistics, and sums log likelihoods.
LDAReducer() - Constructor for class org.apache.mahout.clustering.lda.LDAReducer
 
LDAState - Class in org.apache.mahout.clustering.lda
 
LDAState(int, int, double, Matrix, double[], double) - Constructor for class org.apache.mahout.clustering.lda.LDAState
 
Leaf - Class in org.apache.mahout.df.node
Represents a Leaf node
Leaf() - Constructor for class org.apache.mahout.df.node.Leaf
 
Leaf(int) - Constructor for class org.apache.mahout.df.node.Leaf
 
LeastKCache<K extends java.lang.Comparable<? super K>,V> - Class in org.apache.mahout.common.cache
 
LeastKCache(int) - Constructor for class org.apache.mahout.common.cache.LeastKCache
 
leastSupport() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FrequentPatternMaxHeap
 
length() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
 
length() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
 
length() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
 
length() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
 
length() - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
 
length() - Method in class org.apache.mahout.common.IntegerTuple
Returns the length of the tuple
length() - Method in class org.apache.mahout.common.StringTuple
Returns the length of the tuple
length() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
 
lesser(int, double) - Static method in class org.apache.mahout.df.data.conditions.Condition
Condition that checks if the given attribute has a value "lesser" than the given value
Lesser - Class in org.apache.mahout.df.data.conditions
True if a given attribute has a value "lesser" than a given value
Lesser(int, double) - Constructor for class org.apache.mahout.df.data.conditions.Lesser
 
LFUCache<K,V> - Class in org.apache.mahout.common.cache
 
LFUCache(int) - Constructor for class org.apache.mahout.common.cache.LFUCache
 
LinearModel - Class in org.apache.mahout.classifier.discriminative
Classifies a data point using a hyperplane.
LinearModel(Vector, double, double) - Constructor for class org.apache.mahout.classifier.discriminative.LinearModel
Init a linear model with a hyperplane, distance and displacement.
LinearModel(Vector) - Constructor for class org.apache.mahout.classifier.discriminative.LinearModel
Init a linear model with zero displacement and a threshold of 0.5.
LinearTrainer - Class in org.apache.mahout.classifier.discriminative
Implementors of this class need to provide a way to train linear discriminative classifiers.
LinearTrainer(int, double, double, double) - Constructor for class org.apache.mahout.classifier.discriminative.LinearTrainer
Initialize the trainer.
listOutputFiles(FileSystem, Path) - Static method in class org.apache.mahout.df.DFUtils
Return a list of all files in the output directory
listOutputFiles(FileSystem, Path) - Static method in class org.apache.mahout.ga.watchmaker.OutputUtils
Lists all files in the output Path
load(Configuration, Path) - Static method in class org.apache.mahout.df.data.Dataset
Loads the dataset from a file
load(FileSystem, Path, int, int, int, TreeID[], Node[]) - Static method in class org.apache.mahout.df.mapreduce.partial.InterResults
Load the trees and the keys returned from the first step
loadData(Dataset, FileSystem, Path) - Static method in class org.apache.mahout.df.data.DataLoader
Loads the data from a file
loadData(Dataset, String[]) - Static method in class org.apache.mahout.df.data.DataLoader
Loads the data from a String array
loadDataset(JobConf) - Static method in class org.apache.mahout.df.mapred.Builder
Helper method.
loadDataset(Configuration) - Static method in class org.apache.mahout.df.mapreduce.Builder
Helper method.
LoadEvaluator - Class in org.apache.mahout.cf.taste.impl.eval
Simple helper class for running load on a Recommender.
loadFeatureWeight(String, String, double) - Method in class org.apache.mahout.classifier.bayes.datastore.InMemoryBayesDatastore
 
loadFeatureWeights(InMemoryBayesDatastore, FileSystem, Path, Configuration) - Static method in class org.apache.mahout.classifier.bayes.io.SequenceFileModelReader
 
loadLabelWeights(InMemoryBayesDatastore, FileSystem, Path, Configuration) - Static method in class org.apache.mahout.classifier.bayes.io.SequenceFileModelReader
 
loadModel(InMemoryBayesDatastore, FileSystem, Parameters, Configuration) - Static method in class org.apache.mahout.classifier.bayes.io.SequenceFileModelReader
 
loadSumWeight(InMemoryBayesDatastore, FileSystem, Path, Configuration) - Static method in class org.apache.mahout.classifier.bayes.io.SequenceFileModelReader
 
loadThetaNormalizer(InMemoryBayesDatastore, FileSystem, Path, Configuration) - Static method in class org.apache.mahout.classifier.bayes.io.SequenceFileModelReader
 
loadWeightMatrix(InMemoryBayesDatastore, FileSystem, Path, Configuration) - Static method in class org.apache.mahout.classifier.bayes.io.SequenceFileModelReader
 
log - Static variable in interface org.apache.mahout.common.parameters.Parametered
 
LOG2 - Static variable in class org.apache.mahout.df.split.IgSplit
 
logLikelihood - Variable in class org.apache.mahout.clustering.lda.LDAInference.InferredDocument
 
logLikelihood - Variable in class org.apache.mahout.clustering.lda.LDAState
 
LogLikelihoodSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
See http://citeseer.ist.psu.edu/29096.html.
LogLikelihoodSimilarity(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.LogLikelihoodSimilarity
 
logProbWordGivenTopic(int, int) - Method in class org.apache.mahout.clustering.lda.LDAState
 
longIteratorToList(LongPrimitiveIterator) - Static method in class org.apache.mahout.common.iterator.IteratorUtils
 
LongPair - Class in org.apache.mahout.common
A simple (ordered) pair of longs.
LongPair(long, long) - Constructor for class org.apache.mahout.common.LongPair
 
LongPrimitiveArrayIterator - Class in org.apache.mahout.cf.taste.impl.common
While long[] is an Iterable, it is not an Iterable<Long>.
LongPrimitiveArrayIterator(long[]) - Constructor for class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator
Creates an over an entire array.
LongPrimitiveIterator - Interface in org.apache.mahout.cf.taste.impl.common
Adds notion of iterating over long primitives in the style of an Iterator -- as opposed to iterating over Long.
longSeedtoBytes(long) - Static method in class org.apache.mahout.common.RandomUtils
 
lookupDataSource(String) - Static method in class org.apache.mahout.cf.taste.impl.common.jdbc.AbstractJDBCComponent
Looks up a DataSource by name from JNDI.
LRUCache<K,V> - Class in org.apache.mahout.common.cache
 
LRUCache(int) - Constructor for class org.apache.mahout.common.cache.LRUCache
 

M

M_KEY - Static variable in interface org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansConfigKeys
 
MAHOUT_GA_EVALUATOR - Static variable in class org.apache.mahout.ga.watchmaker.EvalMapper
Parameter used to store the "stringified" evaluator
MahoutDriver - Class in org.apache.mahout.driver
General-purpose driver class for Mahout programs.
MahoutEvaluator - Class in org.apache.mahout.ga.watchmaker
Generic Mahout distributed evaluator.
MahoutFitnessEvaluator<T> - Class in org.apache.mahout.ga.watchmaker
Watchmaker compatible Fitness Evaluator that delegates the evaluation of the whole population to Mahout.
MahoutFitnessEvaluator(FitnessEvaluator<? super T>) - Constructor for class org.apache.mahout.ga.watchmaker.MahoutFitnessEvaluator
 
main(String[]) - Static method in class org.apache.mahout.cf.taste.hadoop.item.RecommenderJob
 
main(String[]) - Static method in class org.apache.mahout.cf.taste.hadoop.pseudo.RecommenderJob
 
main(String[]) - Static method in class org.apache.mahout.cf.taste.hadoop.slopeone.SlopeOneAverageDiffsJob
 
main(String[]) - Static method in class org.apache.mahout.classifier.bayes.TestClassifier
 
main(String[]) - Static method in class org.apache.mahout.classifier.bayes.TrainClassifier
 
main(String[]) - Static method in class org.apache.mahout.classifier.BayesFileFormatter
Run the FileFormatter
main(String[]) - Static method in class org.apache.mahout.classifier.Classify
 
main(String[]) - Static method in class org.apache.mahout.clustering.canopy.CanopyClusteringJob
 
main(String[]) - Static method in class org.apache.mahout.clustering.canopy.CanopyDriver
 
main(String[]) - Static method in class org.apache.mahout.clustering.canopy.ClusterDriver
 
main(String[]) - Static method in class org.apache.mahout.clustering.dirichlet.DirichletDriver
 
main(String[]) - Static method in class org.apache.mahout.clustering.dirichlet.DirichletJob
 
main(String[]) - Static method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver
 
main(String[]) - Static method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansJob
 
main(String[]) - Static method in class org.apache.mahout.clustering.kmeans.KMeansDriver
 
main(String[]) - Static method in class org.apache.mahout.clustering.lda.LDADriver
 
main(String[]) - Static method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyDriver
 
main(String[]) - Static method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyJob
 
main(String[]) - Static method in class org.apache.mahout.df.tools.Describe
 
main(String[]) - Static method in class org.apache.mahout.df.tools.Frequencies
 
main(String[]) - Static method in class org.apache.mahout.df.tools.UDistrib
Launch the uniform distribution tool.
main(String[]) - Static method in class org.apache.mahout.driver.MahoutDriver
 
main(String[]) - Static method in class org.apache.mahout.fpm.pfpgrowth.FPGrowthDriver
Run TopK FPGrowth given the input file,
main(String[]) - Static method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
 
main(String[]) - Static method in class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob
 
main(String[]) - Static method in class org.apache.mahout.math.hadoop.MatrixMultiplicationJob
 
main(String[]) - Static method in class org.apache.mahout.math.hadoop.TransposeJob
 
majorityLabel(Random) - Method in class org.apache.mahout.df.data.Data
finds the majority label, breaking ties randomly
ManhattanDistanceMeasure - Class in org.apache.mahout.common.distance
This class implements a "manhattan distance" metric by summing the absolute values of the difference between each coordinate
ManhattanDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.ManhattanDistanceMeasure
 
map(LongWritable, Text, OutputCollector<VIntWritable, VIntWritable>, Reporter) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.ItemBigramGenerator.UserItemMapper
 
map(VIntWritable, VIntWritable, OutputCollector<Bigram, Bigram>, Reporter) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.ItemSimilarityEstimator.ItemItemMapper
 
map(Bigram, DoubleWritable, OutputCollector<Bigram, TupleWritable>, Reporter) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.UserItemJoiner.JoinItemMapper
 
map(LongWritable, Text, OutputCollector<Bigram, TupleWritable>, Reporter) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.UserItemJoiner.JoinUserMapper
 
map(VIntWritable, TupleWritable, OutputCollector<Bigram, TupleWritable>, Reporter) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.UserItemRecommender.RecommenderMapper
 
map(LongWritable, Text, OutputCollector<IntWritable, LongWritable>, Reporter) - Method in class org.apache.mahout.cf.taste.hadoop.item.ItemIDIndexMapper
 
map(LongWritable, VectorWritable, OutputCollector<LongWritable, RecommendedItemsWritable>, Reporter) - Method in class org.apache.mahout.cf.taste.hadoop.item.RecommenderMapper
 
map(LongWritable, VectorWritable, OutputCollector<IntWritable, IntWritable>, Reporter) - Method in class org.apache.mahout.cf.taste.hadoop.item.UserVectorToCooccurrenceMapper
 
map(LongWritable, Text, OutputCollector<LongWritable, NullWritable>, Reporter) - Method in class org.apache.mahout.cf.taste.hadoop.pseudo.UserIDsMapper
 
map(LongWritable, Text, OutputCollector<LongWritable, ItemPrefWritable>, Reporter) - Method in class org.apache.mahout.cf.taste.hadoop.ToItemPrefsMapper
 
map(Text, Text, OutputCollector<StringTuple, DoubleWritable>, Reporter) - Method in class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesClassifierMapper
Parallel Classification
map(StringTuple, DoubleWritable, OutputCollector<StringTuple, DoubleWritable>, Reporter) - Method in class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesThetaNormalizerMapper
We need to calculate the thetaNormalization factor of each label
map(StringTuple, DoubleWritable, OutputCollector<StringTuple, DoubleWritable>, Reporter) - Method in class org.apache.mahout.classifier.bayes.mapreduce.cbayes.CBayesThetaNormalizerMapper
We need to calculate the idf of each feature in each label
map(Text, Text, OutputCollector<StringTuple, DoubleWritable>, Reporter) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureMapper
We need to count the number of times we've seen a term with a given label and we need to output that.
map(StringTuple, DoubleWritable, OutputCollector<StringTuple, DoubleWritable>, Reporter) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesTfIdfMapper
We need to calculate the Tf-Idf of each feature in each label
map(StringTuple, DoubleWritable, OutputCollector<StringTuple, DoubleWritable>, Reporter) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesWeightSummerMapper
We need to calculate the weight sums across each label and each feature
map(WritableComparable<?>, VectorWritable, OutputCollector<Text, VectorWritable>, Reporter) - Method in class org.apache.mahout.clustering.canopy.CanopyMapper
 
map(WritableComparable<?>, VectorWritable, OutputCollector<Text, VectorWritable>, Reporter) - Method in class org.apache.mahout.clustering.canopy.ClusterMapper
 
map(WritableComparable<?>, VectorWritable, OutputCollector<Text, VectorWritable>, Reporter) - Method in class org.apache.mahout.clustering.dirichlet.DirichletMapper
 
map(WritableComparable<?>, VectorWritable, OutputCollector<Text, FuzzyKMeansOutput>, Reporter) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterMapper
 
map(WritableComparable<?>, VectorWritable, OutputCollector<Text, FuzzyKMeansInfo>, Reporter) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansMapper
 
map(WritableComparable<?>, VectorWritable, OutputCollector<Text, Text>, Reporter) - Method in class org.apache.mahout.clustering.kmeans.KMeansClusterMapper
 
map(WritableComparable<?>, VectorWritable, OutputCollector<Text, KMeansInfo>, Reporter) - Method in class org.apache.mahout.clustering.kmeans.KMeansMapper
 
map(WritableComparable<?>, VectorWritable, Mapper<WritableComparable<?>, VectorWritable, IntPairWritable, DoubleWritable>.Context) - Method in class org.apache.mahout.clustering.lda.LDAMapper
 
map(WritableComparable<?>, VectorWritable, OutputCollector<Text, MeanShiftCanopy>, Reporter) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyCreatorMapper
 
map(WritableComparable<?>, MeanShiftCanopy, OutputCollector<Text, MeanShiftCanopy>, Reporter) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyMapper
 
map(IntWritable, NullWritable, OutputCollector<IntWritable, MapredOutput>, Reporter) - Method in class org.apache.mahout.df.mapred.inmem.InMemMapper
 
map(IntWritable, OutputCollector<IntWritable, MapredOutput>, InMemInputFormat.InMemInputSplit) - Method in class org.apache.mahout.df.mapred.inmem.InMemMapper
 
map(LongWritable, Text, OutputCollector<TreeID, MapredOutput>, Reporter) - Method in class org.apache.mahout.df.mapred.partial.Step1Mapper
 
map(LongWritable, Text, OutputCollector<TreeID, MapredOutput>, Reporter) - Method in class org.apache.mahout.df.mapred.partial.Step2Mapper
 
map(IntWritable, NullWritable, Mapper<IntWritable, NullWritable, IntWritable, MapredOutput>.Context) - Method in class org.apache.mahout.df.mapreduce.inmem.InMemMapper
 
map(IntWritable, Mapper<IntWritable, NullWritable, IntWritable, MapredOutput>.Context) - Method in class org.apache.mahout.df.mapreduce.inmem.InMemMapper
 
map(LongWritable, Text, Mapper<LongWritable, Text, IntWritable, Step0Job.Step0Output>.Context) - Method in class org.apache.mahout.df.mapreduce.partial.Step0Job.Step0Mapper
 
map(LongWritable, Text, Mapper<LongWritable, Text, TreeID, MapredOutput>.Context) - Method in class org.apache.mahout.df.mapreduce.partial.Step1Mapper
 
map(LongWritable, Text, Mapper<LongWritable, Text, TreeID, MapredOutput>.Context) - Method in class org.apache.mahout.df.mapreduce.partial.Step2Mapper
 
map(Text, TopKStringPatterns, Mapper<Text, TopKStringPatterns, Text, TopKStringPatterns>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.AggregatorMapper
 
map(LongWritable, Text, Mapper<LongWritable, Text, Text, LongWritable>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.ParallelCountingMapper
 
map(LongWritable, TransactionTree, Mapper<LongWritable, TransactionTree, LongWritable, TransactionTree>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.ParallelFPGrowthMapper
 
map(LongWritable, Text, Mapper<LongWritable, Text, LongWritable, TransactionTree>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionSortingMapper
 
map(LongWritable, Text, OutputCollector<LongWritable, DoubleWritable>, Reporter) - Method in class org.apache.mahout.ga.watchmaker.EvalMapper
 
map(IntWritable, TupleWritable, OutputCollector<IntWritable, VectorWritable>, Reporter) - Method in class org.apache.mahout.math.hadoop.MatrixMultiplicationJob.MatrixMultiplyMapper
 
map(IntWritable, VectorWritable, OutputCollector<NullWritable, VectorWritable>, Reporter) - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesMapper
 
map(T, VectorWritable, OutputCollector<NullWritable, VectorWritable>, Reporter) - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesSquaredMapper
 
map(IntWritable, VectorWritable, OutputCollector<IntWritable, DistributedRowMatrix.MatrixEntryWritable>, Reporter) - Method in class org.apache.mahout.math.hadoop.TransposeJob.TransposeMapper
 
MapFilesMap<K extends org.apache.hadoop.io.WritableComparable,V extends org.apache.hadoop.io.Writable> - Class in org.apache.mahout.cf.taste.hadoop
Represents a series of MapFiles, from which one might want to look up values based on keys.
MapFilesMap(FileSystem, Path, Configuration) - Constructor for class org.apache.mahout.cf.taste.hadoop.MapFilesMap
 
MapredMapper - Class in org.apache.mahout.df.mapred
Base class for Mapred mappers.
MapredMapper() - Constructor for class org.apache.mahout.df.mapred.MapredMapper
 
MapredMapper<KEYIN,VALUEIN,KEYOUT,VALUEOUT> - Class in org.apache.mahout.df.mapreduce
Base class for Mapred mappers.
MapredMapper() - Constructor for class org.apache.mahout.df.mapreduce.MapredMapper
 
MapredOutput - Class in org.apache.mahout.df.mapreduce
Used by various implementation to return the results of a build.
Contains a grown tree and and its oob predictions.
MapredOutput() - Constructor for class org.apache.mahout.df.mapreduce.MapredOutput
 
MapredOutput(Node, int[]) - Constructor for class org.apache.mahout.df.mapreduce.MapredOutput
 
MapredOutput(Node) - Constructor for class org.apache.mahout.df.mapreduce.MapredOutput
 
MapredOutput(int[]) - Constructor for class org.apache.mahout.df.mapreduce.MapredOutput
 
MatrixMultiplicationJob - Class in org.apache.mahout.math.hadoop
 
MatrixMultiplicationJob() - Constructor for class org.apache.mahout.math.hadoop.MatrixMultiplicationJob
 
MatrixMultiplicationJob.MatrixMultiplicationReducer - Class in org.apache.mahout.math.hadoop
 
MatrixMultiplicationJob.MatrixMultiplicationReducer() - Constructor for class org.apache.mahout.math.hadoop.MatrixMultiplicationJob.MatrixMultiplicationReducer
 
MatrixMultiplicationJob.MatrixMultiplyMapper - Class in org.apache.mahout.math.hadoop
 
MatrixMultiplicationJob.MatrixMultiplyMapper() - Constructor for class org.apache.mahout.math.hadoop.MatrixMultiplicationJob.MatrixMultiplyMapper
 
MatrixWritable - Class in org.apache.mahout.math
 
MatrixWritable() - Constructor for class org.apache.mahout.math.MatrixWritable
 
MatrixWritable(Matrix) - Constructor for class org.apache.mahout.math.MatrixWritable
 
MAX_INT_SMALLER_TWIN_PRIME - Static variable in class org.apache.mahout.common.RandomUtils
The largest prime less than 231-1 that is the smaller of a twin prime pair.
MAX_PREFS_CONSIDERED - Static variable in class org.apache.mahout.cf.taste.hadoop.item.ToUserVectorReducer
 
MAX_TREEID - Static variable in class org.apache.mahout.df.mapreduce.partial.TreeID
 
maxDepth() - Method in class org.apache.mahout.df.node.CategoricalNode
 
maxDepth() - Method in class org.apache.mahout.df.node.Leaf
 
maxDepth() - Method in class org.apache.mahout.df.node.Node
returns the maximum depth of the tree
maxDepth() - Method in class org.apache.mahout.df.node.NumericalNode
 
maxindex(Random, int[]) - Static method in class org.apache.mahout.df.data.DataUtils
return the index of the maximum of the array, breaking ties randomly
maxIterOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
Returns a default command line option for specification of max number of iterations.
maybePut(Map<String, String>, CommandLine, Option...) - Static method in class org.apache.mahout.cf.taste.hadoop.AbstractJob
 
maybeRefresh(Collection<Refreshable>, Refreshable) - Static method in class org.apache.mahout.cf.taste.impl.common.RefreshHelper
Adds the specified Refreshable to the given collection of Refreshables if it is not already there and immediately refreshes it.
maybeWrapIterable(Iterable<T>, double) - Static method in class org.apache.mahout.common.iterator.SamplingIterable
 
maybeWrapIterator(LongPrimitiveIterator, double) - Static method in class org.apache.mahout.cf.taste.impl.common.SamplingLongPrimitiveIterator
 
meanMaxDepth() - Method in class org.apache.mahout.df.DecisionForest
Mean maximum depth per tree
meanNbNodes() - Method in class org.apache.mahout.df.DecisionForest
Mean number of nodes per tree
MeanShiftCanopy - Class in org.apache.mahout.clustering.meanshift
This class models a canopy as a center point, the number of points that are contained within it according to the application of some distance metric, and a point total which is the sum of all the points and is used to compute the centroid when needed.
MeanShiftCanopy() - Constructor for class org.apache.mahout.clustering.meanshift.MeanShiftCanopy
 
MeanShiftCanopy(Vector, int) - Constructor for class org.apache.mahout.clustering.meanshift.MeanShiftCanopy
Create a new Canopy containing the given point
MeanShiftCanopyClusterer - Class in org.apache.mahout.clustering.meanshift
 
MeanShiftCanopyClusterer(JobConf) - Constructor for class org.apache.mahout.clustering.meanshift.MeanShiftCanopyClusterer
 
MeanShiftCanopyClusterer(DistanceMeasure, double, double, double) - Constructor for class org.apache.mahout.clustering.meanshift.MeanShiftCanopyClusterer
 
MeanShiftCanopyConfigKeys - Interface in org.apache.mahout.clustering.meanshift
 
MeanShiftCanopyCreatorMapper - Class in org.apache.mahout.clustering.meanshift
 
MeanShiftCanopyCreatorMapper() - Constructor for class org.apache.mahout.clustering.meanshift.MeanShiftCanopyCreatorMapper
 
MeanShiftCanopyDriver - Class in org.apache.mahout.clustering.meanshift
 
MeanShiftCanopyJob - Class in org.apache.mahout.clustering.meanshift
 
MeanShiftCanopyMapper - Class in org.apache.mahout.clustering.meanshift
 
MeanShiftCanopyMapper() - Constructor for class org.apache.mahout.clustering.meanshift.MeanShiftCanopyMapper
 
MeanShiftCanopyReducer - Class in org.apache.mahout.clustering.meanshift
 
MeanShiftCanopyReducer() - Constructor for class org.apache.mahout.clustering.meanshift.MeanShiftCanopyReducer
 
MeanTreeCollector - Class in org.apache.mahout.df.callback
Computes the error rate for each tree, and returns the mean of all the trees
MeanTreeCollector(Data, int) - Constructor for class org.apache.mahout.df.callback.MeanTreeCollector
 
meanTreeError() - Method in class org.apache.mahout.df.callback.MeanTreeCollector
 
MemoryDiffStorage - Class in org.apache.mahout.cf.taste.impl.recommender.slopeone
An implementation of DiffStorage that merely stores item-item diffs in memory.
MemoryDiffStorage(DataModel, Weighting, boolean, long) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.slopeone.MemoryDiffStorage
Creates a new .
MemoryIDMigrator - Class in org.apache.mahout.cf.taste.impl.model
Implementation which stores the reverse long-to-String mapping in memory.
MemoryIDMigrator() - Constructor for class org.apache.mahout.cf.taste.impl.model.MemoryIDMigrator
 
merge(ConfusionMatrix) - Method in class org.apache.mahout.classifier.ConfusionMatrix
 
merge(TopKStringPatterns, int) - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.string.TopKStringPatterns
 
mergeCanopy(MeanShiftCanopy, List<MeanShiftCanopy>) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyClusterer
Merge the given canopy into the canopies list.
MockLeaf - Class in org.apache.mahout.df.node
Custom Leaf node that returns for each instance its own label.
MockLeaf() - Constructor for class org.apache.mahout.df.node.MockLeaf
 
Model<O> - Interface in org.apache.mahout.clustering.dirichlet.models
A model is a probability distribution over observed data points and allows the probability of any data point to be computed.
MODEL_FACTORY_KEY - Static variable in class org.apache.mahout.clustering.dirichlet.DirichletDriver
 
MODEL_PROTOTYPE_KEY - Static variable in class org.apache.mahout.clustering.dirichlet.DirichletDriver
 
ModelDistribution<O> - Interface in org.apache.mahout.clustering.dirichlet.models
A model distribution allows us to sample a model from its prior distribution.
mostSimilarItems(long, int) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
 
mostSimilarItems(long, int, Rescorer<LongPair>) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
 
mostSimilarItems(long[], int) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
 
mostSimilarItems(long[], int, Rescorer<LongPair>) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
 
mostSimilarItems(long, int) - Method in interface org.apache.mahout.cf.taste.recommender.ItemBasedRecommender
 
mostSimilarItems(long, int, Rescorer<LongPair>) - Method in interface org.apache.mahout.cf.taste.recommender.ItemBasedRecommender
 
mostSimilarItems(long[], int) - Method in interface org.apache.mahout.cf.taste.recommender.ItemBasedRecommender
 
mostSimilarItems(long[], int, Rescorer<LongPair>) - Method in interface org.apache.mahout.cf.taste.recommender.ItemBasedRecommender
 
mostSimilarUserIDs(long, int) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
 
mostSimilarUserIDs(long, int, Rescorer<LongPair>) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
 
mostSimilarUserIDs(long, int) - Method in interface org.apache.mahout.cf.taste.recommender.UserBasedRecommender
 
mostSimilarUserIDs(long, int, Rescorer<LongPair>) - Method in interface org.apache.mahout.cf.taste.recommender.UserBasedRecommender
 
MultiCallback - Class in org.apache.mahout.df.callback
Combines many callbacks, that will be called when a prediction is done.
MultiCallback(PredictionCallback...) - Constructor for class org.apache.mahout.df.callback.MultiCallback
 
MultiLabelVectorWritable - Class in org.apache.mahout.math
Writable to handle serialization of a vector and a variable list of associated label indexes.
MultiLabelVectorWritable() - Constructor for class org.apache.mahout.math.MultiLabelVectorWritable
 
MultiLabelVectorWritable(Vector, int[]) - Constructor for class org.apache.mahout.math.MultiLabelVectorWritable
 
MultiTransactionTreeIterator - Class in org.apache.mahout.fpm.pfpgrowth
Iterates over multiple transaction trees to produce a single iterator of transactions
MultiTransactionTreeIterator(Iterator<Pair<List<Integer>, Long>>) - Constructor for class org.apache.mahout.fpm.pfpgrowth.MultiTransactionTreeIterator
 
MySQLBooleanPrefJDBCDataModel - Class in org.apache.mahout.cf.taste.impl.model.jdbc
See also MySQLJDBCDataModel -- same except deals with a table without preference info:
MySQLBooleanPrefJDBCDataModel() - Constructor for class org.apache.mahout.cf.taste.impl.model.jdbc.MySQLBooleanPrefJDBCDataModel
Creates a using the default DataSource (named AbstractJDBCComponent.DEFAULT_DATASOURCE_NAME and default table/column names.
MySQLBooleanPrefJDBCDataModel(String) - Constructor for class org.apache.mahout.cf.taste.impl.model.jdbc.MySQLBooleanPrefJDBCDataModel
Creates a using the default DataSource found under the given name, and using default table/column names.
MySQLBooleanPrefJDBCDataModel(DataSource) - Constructor for class org.apache.mahout.cf.taste.impl.model.jdbc.MySQLBooleanPrefJDBCDataModel
Creates a using the given DataSource and default table/column names.
MySQLBooleanPrefJDBCDataModel(DataSource, String, String, String) - Constructor for class org.apache.mahout.cf.taste.impl.model.jdbc.MySQLBooleanPrefJDBCDataModel
Creates a using the given DataSource and default table/column names.
MySQLJDBCDataModel - Class in org.apache.mahout.cf.taste.impl.model.jdbc
A DataModel backed by a MySQL database and accessed via JDBC.
MySQLJDBCDataModel() - Constructor for class org.apache.mahout.cf.taste.impl.model.jdbc.MySQLJDBCDataModel
Creates a using the default DataSource (named AbstractJDBCComponent.DEFAULT_DATASOURCE_NAME and default table/column names.
MySQLJDBCDataModel(String) - Constructor for class org.apache.mahout.cf.taste.impl.model.jdbc.MySQLJDBCDataModel
Creates a using the default DataSource found under the given name, and using default table/column names.
MySQLJDBCDataModel(DataSource) - Constructor for class org.apache.mahout.cf.taste.impl.model.jdbc.MySQLJDBCDataModel
Creates a using the given DataSource and default table/column names.
MySQLJDBCDataModel(DataSource, String, String, String, String) - Constructor for class org.apache.mahout.cf.taste.impl.model.jdbc.MySQLJDBCDataModel
Creates a using the given DataSource and default table/column names.
MySQLJDBCDiffStorage - Class in org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc
MySQL-specific implementation.
MySQLJDBCDiffStorage(AbstractJDBCDataModel) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc.MySQLJDBCDiffStorage
 
MySQLJDBCDiffStorage(AbstractJDBCDataModel, String, String, String, String, String, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc.MySQLJDBCDiffStorage
 
MySQLJDBCIDMigrator - Class in org.apache.mahout.cf.taste.impl.model
An implementation for MySQL.
MySQLJDBCIDMigrator(DataSource) - Constructor for class org.apache.mahout.cf.taste.impl.model.MySQLJDBCIDMigrator
 
MySQLJDBCIDMigrator(DataSource, String, String, String) - Constructor for class org.apache.mahout.cf.taste.impl.model.MySQLJDBCIDMigrator
 
MySQLJDBCItemSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity.jdbc
An ItemSimilarity backed by a MySQL database and accessed via JDBC.
MySQLJDBCItemSimilarity() - Constructor for class org.apache.mahout.cf.taste.impl.similarity.jdbc.MySQLJDBCItemSimilarity
 
MySQLJDBCItemSimilarity(String) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.jdbc.MySQLJDBCItemSimilarity
 
MySQLJDBCItemSimilarity(DataSource) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.jdbc.MySQLJDBCItemSimilarity
 
MySQLJDBCItemSimilarity(DataSource, String, String, String, String) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.jdbc.MySQLJDBCItemSimilarity
 

N

name() - Method in class org.apache.mahout.common.parameters.AbstractParameter
 
name() - Method in interface org.apache.mahout.common.parameters.Parameter
 
nbAttributes() - Method in class org.apache.mahout.df.data.Dataset
Number of attributes
nbConcerned(int, int, int) - Static method in class org.apache.mahout.df.mapred.partial.Step2Mapper
Compute the number of trees that need to classify the instances of this mapper's partition
nbConcerned(int, int, int) - Static method in class org.apache.mahout.df.mapreduce.partial.Step2Mapper
Compute the number of trees that need to classify the instances of this mapper's partition
nbErrors(int[], int[]) - Static method in class org.apache.mahout.df.ErrorEstimate
Counts the number of instance that got bad predictions
nbInstances() - Method in class org.apache.mahout.df.data.Dataset
 
nblabels() - Method in class org.apache.mahout.df.data.Dataset
 
nbNodes() - Method in class org.apache.mahout.df.DecisionForest
Total number of nodes in all the trees
nbNodes() - Method in class org.apache.mahout.df.node.CategoricalNode
 
nbNodes() - Method in class org.apache.mahout.df.node.Leaf
 
nbNodes() - Method in class org.apache.mahout.df.node.Node
returns the total number of nodes of the tree
nbNodes() - Method in class org.apache.mahout.df.node.NumericalNode
 
nbPredicted(int[]) - Static method in class org.apache.mahout.df.ErrorEstimate
Counts the number of classified instances (prediction != -1)
nbTrees(int, int, int) - Static method in class org.apache.mahout.df.mapred.partial.Step1Mapper
Compute the number of trees for a given partition.
nbTrees(int, int, int) - Static method in class org.apache.mahout.df.mapreduce.partial.Step1Mapper
Compute the number of trees for a given partition.
NearestNeighborClusterSimilarity - Class in org.apache.mahout.cf.taste.impl.recommender
Defines cluster similarity as the largest similarity between any two users in the clusters -- that is, it says that clusters are close when some pair of their members has high similarity.
NearestNeighborClusterSimilarity(UserSimilarity) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.NearestNeighborClusterSimilarity
Constructs a based on the given UserSimilarity.
NearestNeighborClusterSimilarity(UserSimilarity, double) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.NearestNeighborClusterSimilarity
Constructs a based on the given UserSimilarity.
NearestNUserNeighborhood - Class in org.apache.mahout.cf.taste.impl.neighborhood
Computes a neighborhood consisting of the nearest n users to a given user.
NearestNUserNeighborhood(int, UserSimilarity, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.neighborhood.NearestNUserNeighborhood
 
NearestNUserNeighborhood(int, double, UserSimilarity, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.neighborhood.NearestNUserNeighborhood
 
NearestNUserNeighborhood(int, double, UserSimilarity, DataModel, double) - Constructor for class org.apache.mahout.cf.taste.impl.neighborhood.NearestNUserNeighborhood
 
newCall() - Method in class org.apache.mahout.common.TimingStatistics
 
next() - Method in class org.apache.mahout.cf.taste.impl.common.AbstractLongPrimitiveIterator
 
next() - Method in class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator
 
next() - Method in class org.apache.mahout.common.FileLineIterator
 
next() - Method in class org.apache.mahout.common.iterator.ArrayIterator
 
next() - Method in class org.apache.mahout.common.iterator.DelegatingIterator
 
next() - Method in class org.apache.mahout.common.iterator.EmptyIterator
 
next() - Method in class org.apache.mahout.common.iterator.PermutingIterator
 
next() - Method in class org.apache.mahout.common.iterator.SamplingIterator
 
next(int) - Method in class org.apache.mahout.common.RandomWrapper
 
next() - Method in class org.apache.mahout.common.StringRecordIterator
 
next(IntWritable, NullWritable) - Method in class org.apache.mahout.df.mapred.inmem.InMemInputFormat.InMemRecordReader
 
next() - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.integer.IntegerTupleIterator
 
next() - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.string.StringTupleIterator
 
next() - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.TransactionIterator
 
next(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
next() - Method in class org.apache.mahout.fpm.pfpgrowth.MultiTransactionTreeIterator
 
next() - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree.TransactionTreeIterator
 
next() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.DistributedMatrixIterator
 
nextBoolean() - Method in class org.apache.mahout.common.RandomWrapper
 
nextBytes(byte[]) - Method in class org.apache.mahout.common.RandomWrapper
 
nextDouble() - Method in class org.apache.mahout.common.RandomWrapper
 
nextFloat() - Method in class org.apache.mahout.common.RandomWrapper
 
nextGaussian() - Method in class org.apache.mahout.common.RandomWrapper
 
nextInt() - Method in class org.apache.mahout.common.RandomWrapper
 
nextInt(int) - Method in class org.apache.mahout.common.RandomWrapper
 
nextKeyValue() - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader
 
nextLong() - Method in class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator
 
nextLong() - Method in interface org.apache.mahout.cf.taste.impl.common.LongPrimitiveIterator
 
nextLong() - Method in class org.apache.mahout.cf.taste.impl.common.SamplingLongPrimitiveIterator
 
nextLong() - Method in class org.apache.mahout.common.RandomWrapper
 
nextPrime(int) - Static method in class org.apache.mahout.common.RandomUtils
Finds smallest prime p such that p is greater than or equal to n.
nextTwinPrime(int) - Static method in class org.apache.mahout.common.RandomUtils
Finds next-largest "twin primes": numbers p and p+2 such that both are prime.
NGrams - Class in org.apache.mahout.common.nlp
 
NGrams(String, int) - Constructor for class org.apache.mahout.common.nlp.NGrams
 
NO_MAX_SIZE - Static variable in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
 
NO_MAX_SIZE - Static variable in class org.apache.mahout.cf.taste.impl.common.FastMap
 
Node - Class in org.apache.mahout.df.node
Represents an abstract node of a decision tree
Node() - Constructor for class org.apache.mahout.df.node.Node
 
Node.Type - Enum in org.apache.mahout.df.node
 
NonNegativeQuadraticOptimizer - Class in org.apache.mahout.cf.taste.impl.recommender.knn
Non-negative Quadratic Optimization.
NonNegativeQuadraticOptimizer() - Constructor for class org.apache.mahout.cf.taste.impl.recommender.knn.NonNegativeQuadraticOptimizer
 
NormalModel - Class in org.apache.mahout.clustering.dirichlet.models
 
NormalModel() - Constructor for class org.apache.mahout.clustering.dirichlet.models.NormalModel
 
NormalModel(Vector, double) - Constructor for class org.apache.mahout.clustering.dirichlet.models.NormalModel
 
NormalModelDistribution - Class in org.apache.mahout.clustering.dirichlet.models
An implementation of the ModelDistribution interface suitable for testing the DirichletCluster algorithm.
NormalModelDistribution(VectorWritable) - Constructor for class org.apache.mahout.clustering.dirichlet.models.NormalModelDistribution
 
NormalModelDistribution() - Constructor for class org.apache.mahout.clustering.dirichlet.models.NormalModelDistribution
 
NoSuchItemException - Exception in org.apache.mahout.cf.taste.common
 
NoSuchItemException() - Constructor for exception org.apache.mahout.cf.taste.common.NoSuchItemException
 
NoSuchItemException(String) - Constructor for exception org.apache.mahout.cf.taste.common.NoSuchItemException
 
NoSuchUserException - Exception in org.apache.mahout.cf.taste.common
 
NoSuchUserException() - Constructor for exception org.apache.mahout.cf.taste.common.NoSuchUserException
 
NoSuchUserException(String) - Constructor for exception org.apache.mahout.cf.taste.common.NoSuchUserException
 
NullRescorer<T> - Class in org.apache.mahout.cf.taste.impl.recommender
A simple Rescorer which always returns the original score.
NUM_CLUSTERS_KEY - Static variable in class org.apache.mahout.clustering.dirichlet.DirichletDriver
 
NUM_ROWS_KEY - Static variable in class org.apache.mahout.math.hadoop.TransposeJob
 
numCols() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
 
numericalIg(Data, int, double) - Method in class org.apache.mahout.df.split.DefaultIgSplit
Computes the Information Gain for a NUMERICAL attribute given a splitting value
NumericalNode - Class in org.apache.mahout.df.node
Represents a node that splits using a numerical attribute
NumericalNode() - Constructor for class org.apache.mahout.df.node.NumericalNode
 
NumericalNode(int, double, Node, Node) - Constructor for class org.apache.mahout.df.node.NumericalNode
 
numericalSplit(Data, int) - Method in class org.apache.mahout.df.split.OptIgSplit
Computes the best split for a NUMERICAL attribute
numRows() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
 
numSlices() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
 
numTopics - Variable in class org.apache.mahout.clustering.lda.LDAState
 
numWords - Variable in class org.apache.mahout.clustering.lda.LDAState
 

O

observe(VectorWritable) - Method in class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalModel
 
observe(VectorWritable) - Method in class org.apache.mahout.clustering.dirichlet.models.L1Model
 
observe(O) - Method in interface org.apache.mahout.clustering.dirichlet.models.Model
Observe the given observation, retaining information about it
observe(VectorWritable) - Method in class org.apache.mahout.clustering.dirichlet.models.NormalModel
 
OptIgSplit - Class in org.apache.mahout.df.split
Optimized implementation of IgSplit
OptIgSplit() - Constructor for class org.apache.mahout.df.split.OptIgSplit
 
optimize(double[][], double[]) - Method in class org.apache.mahout.cf.taste.impl.recommender.knn.ConjugateGradientOptimizer
Conjugate gradient optimization.
optimize(double[][], double[]) - Method in class org.apache.mahout.cf.taste.impl.recommender.knn.NonNegativeQuadraticOptimizer
Non-negative Quadratic Optimization.
optimize(double[][], double[]) - Method in interface org.apache.mahout.cf.taste.impl.recommender.knn.Optimizer
 
Optimizer - Interface in org.apache.mahout.cf.taste.impl.recommender.knn
 
org.apache.mahout.cf.taste.common - package org.apache.mahout.cf.taste.common
 
org.apache.mahout.cf.taste.eval - package org.apache.mahout.cf.taste.eval
 
org.apache.mahout.cf.taste.hadoop - package org.apache.mahout.cf.taste.hadoop
 
org.apache.mahout.cf.taste.hadoop.cooccurence - package org.apache.mahout.cf.taste.hadoop.cooccurence
 
org.apache.mahout.cf.taste.hadoop.item - package org.apache.mahout.cf.taste.hadoop.item
 
org.apache.mahout.cf.taste.hadoop.pseudo - package org.apache.mahout.cf.taste.hadoop.pseudo
 
org.apache.mahout.cf.taste.hadoop.slopeone - package org.apache.mahout.cf.taste.hadoop.slopeone
 
org.apache.mahout.cf.taste.impl.common - package org.apache.mahout.cf.taste.impl.common
 
org.apache.mahout.cf.taste.impl.common.jdbc - package org.apache.mahout.cf.taste.impl.common.jdbc
 
org.apache.mahout.cf.taste.impl.eval - package org.apache.mahout.cf.taste.impl.eval
 
org.apache.mahout.cf.taste.impl.model - package org.apache.mahout.cf.taste.impl.model
 
org.apache.mahout.cf.taste.impl.model.file - package org.apache.mahout.cf.taste.impl.model.file
 
org.apache.mahout.cf.taste.impl.model.jdbc - package org.apache.mahout.cf.taste.impl.model.jdbc
 
org.apache.mahout.cf.taste.impl.neighborhood - package org.apache.mahout.cf.taste.impl.neighborhood
 
org.apache.mahout.cf.taste.impl.recommender - package org.apache.mahout.cf.taste.impl.recommender
 
org.apache.mahout.cf.taste.impl.recommender.knn - package org.apache.mahout.cf.taste.impl.recommender.knn
 
org.apache.mahout.cf.taste.impl.recommender.slopeone - package org.apache.mahout.cf.taste.impl.recommender.slopeone
 
org.apache.mahout.cf.taste.impl.recommender.slopeone.file - package org.apache.mahout.cf.taste.impl.recommender.slopeone.file
 
org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc - package org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc
 
org.apache.mahout.cf.taste.impl.recommender.svd - package org.apache.mahout.cf.taste.impl.recommender.svd
 
org.apache.mahout.cf.taste.impl.similarity - package org.apache.mahout.cf.taste.impl.similarity
 
org.apache.mahout.cf.taste.impl.similarity.jdbc - package org.apache.mahout.cf.taste.impl.similarity.jdbc
 
org.apache.mahout.cf.taste.impl.transforms - package org.apache.mahout.cf.taste.impl.transforms
 
org.apache.mahout.cf.taste.model - package org.apache.mahout.cf.taste.model
 
org.apache.mahout.cf.taste.neighborhood - package org.apache.mahout.cf.taste.neighborhood
 
org.apache.mahout.cf.taste.recommender - package org.apache.mahout.cf.taste.recommender
 
org.apache.mahout.cf.taste.recommender.slopeone - package org.apache.mahout.cf.taste.recommender.slopeone
 
org.apache.mahout.cf.taste.similarity - package org.apache.mahout.cf.taste.similarity
 
org.apache.mahout.cf.taste.transforms - package org.apache.mahout.cf.taste.transforms
 
org.apache.mahout.classifier - package org.apache.mahout.classifier
 
org.apache.mahout.classifier.bayes - package org.apache.mahout.classifier.bayes
org.apache.mahout.classifier.bayes.algorithm - package org.apache.mahout.classifier.bayes.algorithm
 
org.apache.mahout.classifier.bayes.common - package org.apache.mahout.classifier.bayes.common
 
org.apache.mahout.classifier.bayes.datastore - package org.apache.mahout.classifier.bayes.datastore
 
org.apache.mahout.classifier.bayes.exceptions - package org.apache.mahout.classifier.bayes.exceptions
 
org.apache.mahout.classifier.bayes.interfaces - package org.apache.mahout.classifier.bayes.interfaces
 
org.apache.mahout.classifier.bayes.io - package org.apache.mahout.classifier.bayes.io
 
org.apache.mahout.classifier.bayes.mapreduce.bayes - package org.apache.mahout.classifier.bayes.mapreduce.bayes
 
org.apache.mahout.classifier.bayes.mapreduce.cbayes - package org.apache.mahout.classifier.bayes.mapreduce.cbayes
 
org.apache.mahout.classifier.bayes.mapreduce.common - package org.apache.mahout.classifier.bayes.mapreduce.common
 
org.apache.mahout.classifier.bayes.model - package org.apache.mahout.classifier.bayes.model
 
org.apache.mahout.classifier.discriminative - package org.apache.mahout.classifier.discriminative
 
org.apache.mahout.clustering - package org.apache.mahout.clustering
This package provides several clustering algorithm implementations.
org.apache.mahout.clustering.canopy - package org.apache.mahout.clustering.canopy
 
org.apache.mahout.clustering.dirichlet - package org.apache.mahout.clustering.dirichlet
 
org.apache.mahout.clustering.dirichlet.models - package org.apache.mahout.clustering.dirichlet.models
 
org.apache.mahout.clustering.fuzzykmeans - package org.apache.mahout.clustering.fuzzykmeans
 
org.apache.mahout.clustering.kmeans - package org.apache.mahout.clustering.kmeans
This package provides an implementation of the k-means clustering algorithm.
org.apache.mahout.clustering.lda - package org.apache.mahout.clustering.lda
 
org.apache.mahout.clustering.meanshift - package org.apache.mahout.clustering.meanshift
 
org.apache.mahout.common - package org.apache.mahout.common
 
org.apache.mahout.common.cache - package org.apache.mahout.common.cache
 
org.apache.mahout.common.commandline - package org.apache.mahout.common.commandline
 
org.apache.mahout.common.distance - package org.apache.mahout.common.distance
 
org.apache.mahout.common.iterator - package org.apache.mahout.common.iterator
 
org.apache.mahout.common.nlp - package org.apache.mahout.common.nlp
 
org.apache.mahout.common.parameters - package org.apache.mahout.common.parameters
 
org.apache.mahout.df - package org.apache.mahout.df
 
org.apache.mahout.df.builder - package org.apache.mahout.df.builder
 
org.apache.mahout.df.callback - package org.apache.mahout.df.callback
 
org.apache.mahout.df.data - package org.apache.mahout.df.data
 
org.apache.mahout.df.data.conditions - package org.apache.mahout.df.data.conditions
 
org.apache.mahout.df.mapred - package org.apache.mahout.df.mapred
 
org.apache.mahout.df.mapred.inmem - package org.apache.mahout.df.mapred.inmem
In-memory mapreduce implementation of Random Decision Forests
 
Each mapper is responsible for growing a number of trees with a whole copy of the dataset loaded in memory, it uses the reference implementation's code to build each tree and estimate the oob error.

The dataset is distributed to the slave nodes using the DistributedCache.
org.apache.mahout.df.mapred.partial - package org.apache.mahout.df.mapred.partial
Partial-data mapreduce implementation of Random Decision Forests
 
The builder splits the data, using a FileInputSplit, among the mappers.
org.apache.mahout.df.mapreduce - package org.apache.mahout.df.mapreduce
 
org.apache.mahout.df.mapreduce.inmem - package org.apache.mahout.df.mapreduce.inmem
In-memory mapreduce implementation of Random Decision Forests
 
Each mapper is responsible for growing a number of trees with a whole copy of the dataset loaded in memory, it uses the reference implementation's code to build each tree and estimate the oob error.

The dataset is distributed to the slave nodes using the DistributedCache.
org.apache.mahout.df.mapreduce.partial - package org.apache.mahout.df.mapreduce.partial
Partial-data mapreduce implementation of Random Decision Forests
 
The builder splits the data, using a FileInputSplit, among the mappers.
org.apache.mahout.df.node - package org.apache.mahout.df.node
 
org.apache.mahout.df.ref - package org.apache.mahout.df.ref
 
org.apache.mahout.df.split - package org.apache.mahout.df.split
 
org.apache.mahout.df.tools - package org.apache.mahout.df.tools
 
org.apache.mahout.driver - package org.apache.mahout.driver
 
org.apache.mahout.fpm.pfpgrowth - package org.apache.mahout.fpm.pfpgrowth
Map/Reduce(Parallel) implementation of FP Growth Algorithm for frequent Itemset Mining
 
We have a Top K Parallel FPGrowth Implementation.
org.apache.mahout.fpm.pfpgrowth.convertors - package org.apache.mahout.fpm.pfpgrowth.convertors
 
org.apache.mahout.fpm.pfpgrowth.convertors.integer - package org.apache.mahout.fpm.pfpgrowth.convertors.integer
 
org.apache.mahout.fpm.pfpgrowth.convertors.string - package org.apache.mahout.fpm.pfpgrowth.convertors.string
 
org.apache.mahout.fpm.pfpgrowth.fpgrowth - package org.apache.mahout.fpm.pfpgrowth.fpgrowth
 
org.apache.mahout.ga.watchmaker - package org.apache.mahout.ga.watchmaker
 
org.apache.mahout.math - package org.apache.mahout.math
 
org.apache.mahout.math.hadoop - package org.apache.mahout.math.hadoop
 
org.apache.mahout.math.hadoop.decomposer - package org.apache.mahout.math.hadoop.decomposer
 
out - Variable in class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesSquaredMapper
 
OUTPUT_VECTOR_DIMENSION - Static variable in class org.apache.mahout.math.hadoop.TimesSquaredJob
 
OUTPUT_VECTOR_FILENAME - Static variable in class org.apache.mahout.math.hadoop.TimesSquaredJob
 
outputOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
Returns a default command line option for output directory specification.
outputPointWithClusterInfo(Vector, List<Cluster>, OutputCollector<Text, Text>) - Method in class org.apache.mahout.clustering.kmeans.KMeansClusterer
 
outputPointWithClusterProbabilities(String, Vector, List<SoftCluster>, OutputCollector<Text, FuzzyKMeansOutput>) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer
Output point with cluster info (Cluster and probability)
outputSorted(int, Collection<Map.Entry<Long, Double>>, OutputCollector<Text, Text>) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.UserItemRecommender.RecommenderReducer
 
OutputUtils - Class in org.apache.mahout.ga.watchmaker
Utility Class that deals with the output.
outputVector - Variable in class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesSquaredMapper
 
overwriteOutput(String) - Static method in class org.apache.mahout.common.HadoopUtil
 

P

Pair<A,B> - Class in org.apache.mahout.common
A simple (ordered) pair of two objects.
Pair(A, B) - Constructor for class org.apache.mahout.common.Pair
 
ParallelCountingMapper - Class in org.apache.mahout.fpm.pfpgrowth
maps all items in a particular transaction like the way it is done in Hadoop WordCount example
ParallelCountingMapper() - Constructor for class org.apache.mahout.fpm.pfpgrowth.ParallelCountingMapper
 
ParallelCountingReducer - Class in org.apache.mahout.fpm.pfpgrowth
sums up the item count and output the item and the count This can also be used as a local Combiner.
ParallelCountingReducer() - Constructor for class org.apache.mahout.fpm.pfpgrowth.ParallelCountingReducer
 
ParallelFPGrowthCombiner - Class in org.apache.mahout.fpm.pfpgrowth
takes each group of dependent transactions and\ compacts it in a TransactionTree structure
ParallelFPGrowthCombiner() - Constructor for class org.apache.mahout.fpm.pfpgrowth.ParallelFPGrowthCombiner
 
ParallelFPGrowthMapper - Class in org.apache.mahout.fpm.pfpgrowth
maps each transaction to all unique items groups in the transaction.
ParallelFPGrowthMapper() - Constructor for class org.apache.mahout.fpm.pfpgrowth.ParallelFPGrowthMapper
 
ParallelFPGrowthReducer - Class in org.apache.mahout.fpm.pfpgrowth
takes each group of transactions and runs Vanilla FPGrowth on it and outputs the the Top K frequent Patterns for each group.
ParallelFPGrowthReducer() - Constructor for class org.apache.mahout.fpm.pfpgrowth.ParallelFPGrowthReducer
 
Parameter<T> - Interface in org.apache.mahout.common.parameters
An accessor to a parameters in the job.
Parametered - Interface in org.apache.mahout.common.parameters
Meta information and accessors for configuring a job.
Parametered.ParameteredGeneralizations - Class in org.apache.mahout.common.parameters
"multiple inheritance"
Parameters - Class in org.apache.mahout.common
 
Parameters() - Constructor for class org.apache.mahout.common.Parameters
 
parent(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
parseArguments(String[], Option...) - Static method in class org.apache.mahout.cf.taste.hadoop.AbstractJob
 
parseDescriptor(String) - Static method in class org.apache.mahout.df.data.DescriptorUtils
Parses a descriptor string and generates the corresponding array of Attributes
parseMetaData() - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVector
 
parseOutput(JobConf, PredictionCallback) - Method in class org.apache.mahout.df.mapred.Builder
Parse the output files to extract the trees and pass the predictions to the callback
parseOutput(JobConf, PredictionCallback) - Method in class org.apache.mahout.df.mapred.inmem.InMemBuilder
 
parseOutput(JobConf, PredictionCallback) - Method in class org.apache.mahout.df.mapred.partial.PartialBuilder
 
parseOutput(JobConf) - Method in class org.apache.mahout.df.mapred.partial.Step0Job
Extracts the output and processes it
parseOutput(JobConf, PredictionCallback) - Method in class org.apache.mahout.df.mapred.partial.Step2Job
Extracts the output and processes it
parseOutput(Job, PredictionCallback) - Method in class org.apache.mahout.df.mapreduce.Builder
Parse the output files to extract the trees and pass the predictions to the callback
parseOutput(Job, PredictionCallback) - Method in class org.apache.mahout.df.mapreduce.inmem.InMemBuilder
 
parseOutput(Job, PredictionCallback) - Method in class org.apache.mahout.df.mapreduce.partial.PartialBuilder
 
parseOutput(JobContext) - Method in class org.apache.mahout.df.mapreduce.partial.Step0Job
Extracts the output and processes it
parseOutput(Job, PredictionCallback) - Method in class org.apache.mahout.df.mapreduce.partial.Step2Job
Extracts the output and processes it
parseOutput(JobContext) - Method in class org.apache.mahout.df.tools.FrequenciesJob
Extracts the output and processes it
PartialBuilder - Class in org.apache.mahout.df.mapred.partial
Builds a random forest using partial data.
PartialBuilder(TreeBuilder, Path, Path, Long) - Constructor for class org.apache.mahout.df.mapred.partial.PartialBuilder
 
PartialBuilder(TreeBuilder, Path, Path, Long, Configuration) - Constructor for class org.apache.mahout.df.mapred.partial.PartialBuilder
 
PartialBuilder - Class in org.apache.mahout.df.mapreduce.partial
Builds a random forest using partial data.
PartialBuilder(TreeBuilder, Path, Path, Long) - Constructor for class org.apache.mahout.df.mapreduce.partial.PartialBuilder
 
PartialBuilder(TreeBuilder, Path, Path, Long, Configuration) - Constructor for class org.apache.mahout.df.mapreduce.partial.PartialBuilder
 
partition() - Method in class org.apache.mahout.df.mapreduce.partial.TreeID
Data partition (InputSplit's index) that was used to grow the tree
PathParameter - Class in org.apache.mahout.common.parameters
 
PathParameter(String, String, JobConf, Path, String) - Constructor for class org.apache.mahout.common.parameters.PathParameter
 
Pattern - Class in org.apache.mahout.fpm.pfpgrowth.fpgrowth
A in FPGrowth is a list of items (here int) and the support(the number of times the pattern is seen in the dataset)
Pattern() - Constructor for class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
 
pdf(VectorWritable) - Method in class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalModel
 
pdf(VectorWritable) - Method in class org.apache.mahout.clustering.dirichlet.models.L1Model
 
pdf(O) - Method in interface org.apache.mahout.clustering.dirichlet.models.Model
Return the probability that the observation is described by this model
pdf(VectorWritable) - Method in class org.apache.mahout.clustering.dirichlet.models.NormalModel
 
PearsonCorrelationSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
An implementation of the Pearson correlation.
PearsonCorrelationSimilarity(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.PearsonCorrelationSimilarity
 
PearsonCorrelationSimilarity(DataModel, Weighting) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.PearsonCorrelationSimilarity
 
peek() - Method in class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator
 
peek() - Method in interface org.apache.mahout.cf.taste.impl.common.LongPrimitiveIterator
 
peek() - Method in class org.apache.mahout.cf.taste.impl.common.SamplingLongPrimitiveIterator
 
peek() - Method in class org.apache.mahout.common.FileLineIterator
 
PerceptronTrainer - Class in org.apache.mahout.classifier.discriminative
Implements training accoring to the perceptron update rule.
PerceptronTrainer(int, double, double, double, double) - Constructor for class org.apache.mahout.classifier.discriminative.PerceptronTrainer
 
PermutingIterator<T> - Class in org.apache.mahout.common.iterator
An Iterator that iterates in a random order over a given sequence of elements.
PermutingIterator(T[]) - Constructor for class org.apache.mahout.common.iterator.PermutingIterator
 
PFPGrowth - Class in org.apache.mahout.fpm.pfpgrowth
Parallel FP Growth Driver Class.
phi(int, int) - Method in class org.apache.mahout.clustering.lda.LDAInference.InferredDocument
 
PlusAnonymousUserDataModel - Class in org.apache.mahout.cf.taste.impl.model
This DataModel decorator class is useful in a situation where you wish to recommend to a user that doesn't really exist yet in your actual DataModel.
PlusAnonymousUserDataModel(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
 
prediction(int, int, int) - Method in class org.apache.mahout.df.callback.ForestPredictions
 
prediction(int, int, int) - Method in class org.apache.mahout.df.callback.MeanTreeCollector
 
prediction(int, int, int) - Method in class org.apache.mahout.df.callback.MultiCallback
 
prediction(int, int, int) - Method in interface org.apache.mahout.df.callback.PredictionCallback
called when an instance has been classified
prediction(int, int, int) - Method in class org.apache.mahout.df.callback.SingleTreePredictions
 
PredictionCallback - Interface in org.apache.mahout.df.callback
Called each time an instance has been classified
Preference - Interface in org.apache.mahout.cf.taste.model
A encapsulates an item and a preference value, which indicates the strength of the preference for it.
PreferenceArray - Interface in org.apache.mahout.cf.taste.model
An alternate representation of an array of Preference.
PreferenceInferrer - Interface in org.apache.mahout.cf.taste.similarity
Implementations of this interface compute an inferred preference for a user and an item that the user has not expressed any preference for.
PreferenceTransform - Interface in org.apache.mahout.cf.taste.transforms
Implementations encapsulate a transform on a Preference's value.
prefix() - Method in class org.apache.mahout.common.parameters.AbstractParameter
 
prefix() - Method in interface org.apache.mahout.common.parameters.Parameter
 
prepareJob(String, Path, int) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.ItemBigramGenerator
 
prepareJob(String, Path, int, int) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.ItemSimilarityEstimator
 
prepareJob(Path, Path, Path, int) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.UserItemJoiner
 
prepareJob(String, Path, int, int) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.UserItemRecommender
 
prepareJobConf(String, String, String, Class<? extends InputFormat>, Class<? extends Mapper>, Class<? extends Writable>, Class<? extends Writable>, Class<? extends Reducer>, Class<? extends Writable>, Class<? extends Writable>, Class<? extends OutputFormat>) - Static method in class org.apache.mahout.cf.taste.hadoop.AbstractJob
 
prepareOutput(FileSystem) - Static method in class org.apache.mahout.ga.watchmaker.OutputUtils
Removes the output directory if it already exists.
print() - Method in class org.apache.mahout.common.Parameters
 
Printable - Interface in org.apache.mahout.clustering
Implementations of this interface have a printable representation.
printHelp(Group) - Static method in class org.apache.mahout.common.CommandLineUtil
 
processFile(FileLineIterator, FastByIDMap<?>, boolean) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
 
processFileWithoutID(FileLineIterator, FastByIDMap<FastIDSet>) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
 
processLine(String, FastByIDMap<?>, boolean) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
Reads one line from the input file and adds the data to a Map data structure which maps user IDs to preferences.
processLineWithoutID(String, FastByIDMap<FastIDSet>) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
 
processOutput(JobConf, Path, int[], TreeID[], Node[], PredictionCallback) - Static method in class org.apache.mahout.df.mapred.partial.PartialBuilder
Processes the output from the output path.
processOutput(int[], Step0Job.Step0Output[]) - Static method in class org.apache.mahout.df.mapred.partial.Step0Job
Replaces the first id for each partition in Hadoop's order
processOutput(JobContext, Path, int[], TreeID[], Node[], PredictionCallback) - Static method in class org.apache.mahout.df.mapreduce.partial.PartialBuilder
Processes the output from the output path.
processOutput(List<Integer>, List<Step0Job.Step0Output>) - Static method in class org.apache.mahout.df.mapreduce.partial.Step0Job
Replaces the first id for each partition in Hadoop's order
PROTOTYPE_SIZE_KEY - Static variable in class org.apache.mahout.clustering.dirichlet.DirichletDriver
 
pruneEigens(Map<MatrixSlice, EigenStatus>) - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob
 
put(long, V) - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
 
put(K, V) - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
 
putAll(Map<? extends K, ? extends V>) - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
 
putCount(String, String, int) - Method in class org.apache.mahout.classifier.ConfusionMatrix
 

Q

quickGet(K) - Method in class org.apache.mahout.common.cache.LFUCache
 
quietClose(Closeable) - Static method in class org.apache.mahout.common.IOUtils
 
quietClose(ResultSet) - Static method in class org.apache.mahout.common.IOUtils
 
quietClose(Statement) - Static method in class org.apache.mahout.common.IOUtils
 
quietClose(Connection) - Static method in class org.apache.mahout.common.IOUtils
 
quietClose(ResultSet, Statement, Connection) - Static method in class org.apache.mahout.common.IOUtils
Closes a ResultSet, Statement and Connection (if not null) and logs (but does not rethrow) any resulting SQLException.

R

RandomAccessSparseVectorWritable - Class in org.apache.mahout.math
 
RandomAccessSparseVectorWritable(Vector) - Constructor for class org.apache.mahout.math.RandomAccessSparseVectorWritable
 
RandomAccessSparseVectorWritable() - Constructor for class org.apache.mahout.math.RandomAccessSparseVectorWritable
 
randomAttributes(Random, boolean[], int) - Static method in class org.apache.mahout.df.builder.DefaultTreeBuilder
Randomly selects m attributes to consider for split, excludes IGNORED and LABEL attributes
RandomRecommender - Class in org.apache.mahout.cf.taste.impl.recommender
Produces random recommendations and preference estimates.
RandomRecommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.RandomRecommender
 
RandomSeedGenerator - Class in org.apache.mahout.clustering.kmeans
Given an Input Path containing a SequenceFile, randomly select k vectors and write them to the output file as a Cluster representing the initial centroid to use.
RandomUtils - Class in org.apache.mahout.common
The source of random stuff for the whole project.
RandomWrapper - Class in org.apache.mahout.common
 
rBeta(double, double) - Static method in class org.apache.mahout.clustering.dirichlet.UncommonDistributions
Returns a random sample from a beta distribution with the given shapes
rBeta(int, double, double) - Static method in class org.apache.mahout.clustering.dirichlet.UncommonDistributions
Returns a vector of random samples from a beta distribution with the given shapes
rBinomial(int, double) - Static method in class org.apache.mahout.clustering.dirichlet.UncommonDistributions
Returns an integer sampled according to this distribution.
rChisq(double) - Static method in class org.apache.mahout.clustering.dirichlet.UncommonDistributions
Return a random sample from the chi-squared (chi^2) distribution with df degrees of freedom.
rDirichlet(Vector, double) - Static method in class org.apache.mahout.clustering.dirichlet.UncommonDistributions
Sample from a Dirichlet distribution, returning a vector of probabilities using a stick-breaking algorithm
read(DataInput) - Static method in class org.apache.mahout.cf.taste.hadoop.ItemItemWritable
 
read(DataInput) - Static method in class org.apache.mahout.cf.taste.hadoop.ItemPrefWritable
 
read(DataInput) - Static method in class org.apache.mahout.cf.taste.hadoop.RecommendedItemsWritable
 
read(DataInput) - Static method in class org.apache.mahout.df.data.Dataset
 
read(DataInput) - Static method in class org.apache.mahout.df.mapred.inmem.InMemInputFormat.InMemInputSplit
 
read(DataInput) - Static method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
 
read(DataInput) - Static method in class org.apache.mahout.df.mapreduce.MapredOutput
 
read(DataInput) - Static method in class org.apache.mahout.df.node.Node
 
read(DataInput) - Static method in class org.apache.mahout.math.MultiLabelVectorWritable
 
readDoubleArray(DataInput) - Static method in class org.apache.mahout.df.DFUtils
Reads a double[] from a DataInput
readerToDocument(Analyzer, Reader) - Static method in class org.apache.mahout.classifier.BayesFileFormatter
Convert a Reader to a vector
readFields(DataInput) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.Bigram
Read the two integers encoded using variable length encoding
readFields(DataInput) - Method in class org.apache.mahout.cf.taste.hadoop.ItemItemWritable
 
readFields(DataInput) - Method in class org.apache.mahout.cf.taste.hadoop.ItemPrefWritable
 
readFields(DataInput) - Method in class org.apache.mahout.cf.taste.hadoop.RecommendedItemsWritable
 
readFields(DataInput) - Method in class org.apache.mahout.clustering.canopy.Canopy
 
readFields(DataInput) - Method in class org.apache.mahout.clustering.ClusterBase
Reads in the id, nothing else
readFields(DataInput) - Method in class org.apache.mahout.clustering.dirichlet.DirichletCluster
 
readFields(DataInput) - Method in class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalModel
 
readFields(DataInput) - Method in class org.apache.mahout.clustering.dirichlet.models.L1Model
 
readFields(DataInput) - Method in class org.apache.mahout.clustering.dirichlet.models.NormalModel
 
readFields(DataInput) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansInfo
 
readFields(DataInput) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansOutput
 
readFields(DataInput) - Method in class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
 
readFields(DataInput) - Method in class org.apache.mahout.clustering.kmeans.Cluster
 
readFields(DataInput) - Method in class org.apache.mahout.clustering.kmeans.KMeansInfo
 
readFields(DataInput) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopy
 
readFields(DataInput) - Method in class org.apache.mahout.common.IntegerTuple
 
readFields(DataInput) - Method in class org.apache.mahout.common.IntPairWritable
 
readFields(DataInput) - Method in class org.apache.mahout.common.StringTuple
 
readFields(DataInput) - Method in class org.apache.mahout.df.data.Dataset
 
readFields(DataInput) - Method in class org.apache.mahout.df.mapred.inmem.InMemInputFormat.InMemInputSplit
 
readFields(DataInput) - Method in class org.apache.mahout.df.mapred.partial.Step0Job.Step0Output
 
readFields(DataInput) - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
 
readFields(DataInput) - Method in class org.apache.mahout.df.mapreduce.MapredOutput
 
readFields(DataInput) - Method in class org.apache.mahout.df.mapreduce.partial.Step0Job.Step0Output
 
readFields(DataInput) - Method in class org.apache.mahout.df.node.CategoricalNode
 
readFields(DataInput) - Method in class org.apache.mahout.df.node.Leaf
 
readFields(DataInput) - Method in class org.apache.mahout.df.node.NumericalNode
 
readFields(DataInput) - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.string.TopKStringPatterns
 
readFields(DataInput) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
 
readFields(DataInput) - Method in class org.apache.mahout.math.DenseMatrixWritable
 
readFields(DataInput) - Method in class org.apache.mahout.math.DenseVectorWritable
 
readFields(DataInput) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
 
readFields(DataInput) - Method in class org.apache.mahout.math.MatrixWritable
 
readFields(DataInput) - Method in class org.apache.mahout.math.MultiLabelVectorWritable
 
readFields(DataInput) - Method in class org.apache.mahout.math.RandomAccessSparseVectorWritable
 
readFields(DataInput) - Method in class org.apache.mahout.math.SequentialAccessSparseVectorWritable
 
readFields(DataInput) - Method in class org.apache.mahout.math.VectorWritable
 
readFList(Parameters) - Static method in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
read the feature frequency List which is built at the end of the Parallel counting job
readFrequentPattern(FileSystem, Configuration, Path) - Static method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPGrowth
 
readFrequentPattern(Parameters) - Static method in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
Read the Frequent Patterns generated from Text
readIntArray(DataInput) - Static method in class org.apache.mahout.df.DFUtils
Reads an int[] from a DataInput
readItemIDFromString(String) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
Subclasses may wish to override this if ID values in the file are not numeric.
readLabelDocumentCounts(FileSystem, Path, Configuration) - Static method in class org.apache.mahout.classifier.bayes.io.SequenceFileModelReader
 
readLabels(DataInput, Map<String, Integer>, Map<String, Integer>) - Static method in class org.apache.mahout.math.MatrixWritable
 
readLabelSums(FileSystem, Path, Configuration) - Static method in class org.apache.mahout.classifier.bayes.io.SequenceFileModelReader
 
readMatrix(DataInput) - Static method in class org.apache.mahout.math.MatrixWritable
Reads a typed Matrix instance from the input stream
readModel(DataInput) - Static method in class org.apache.mahout.clustering.dirichlet.DirichletCluster
Reads a typed Model instance from the input stream
readNodeArray(DataInput) - Static method in class org.apache.mahout.df.DFUtils
Reads a Node[] from a DataInput
readResult(FileSystem, Path, Configuration, Parameters) - Static method in class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesClassifierDriver
 
readSigmaJSigmaK(FileSystem, Path, Configuration) - Static method in class org.apache.mahout.classifier.bayes.io.SequenceFileModelReader
 
readUserIDFromString(String) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
Subclasses may wish to override this if ID values in the file are not numeric.
readVocabCount(FileSystem, Path, Configuration) - Static method in class org.apache.mahout.classifier.bayes.io.SequenceFileModelReader
 
recommend(long, int) - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender
Default implementation which just calls Recommender.recommend(long, int, org.apache.mahout.cf.taste.recommender.IDRescorer), with a Rescorer that does nothing.
recommend(long, int) - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
 
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
 
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
 
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
 
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemAverageRecommender
 
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemUserAverageRecommender
 
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.impl.recommender.RandomRecommender
 
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.SlopeOneRecommender
 
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.SVDRecommender
 
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender
 
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender2
 
recommend(long, int) - Method in interface org.apache.mahout.cf.taste.recommender.Recommender
 
recommend(long, int, IDRescorer) - Method in interface org.apache.mahout.cf.taste.recommender.Recommender
 
recommendedBecause(long, long, int) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
 
recommendedBecause(long, long, int) - Method in interface org.apache.mahout.cf.taste.recommender.ItemBasedRecommender
Lists the items that were most influential in recommending a given item to a given user.
RecommendedItem - Interface in org.apache.mahout.cf.taste.recommender
Implementations encapsulate items that are recommended, and include the item recommended and a value expressing the strength of the preference.
RecommendedItemsWritable - Class in org.apache.mahout.cf.taste.hadoop
A Writable which encapsulates a list of RecommendedItems.
RecommendedItemsWritable() - Constructor for class org.apache.mahout.cf.taste.hadoop.RecommendedItemsWritable
 
RecommendedItemsWritable(List<RecommendedItem>) - Constructor for class org.apache.mahout.cf.taste.hadoop.RecommendedItemsWritable
 
Recommender - Interface in org.apache.mahout.cf.taste.recommender
Implementations of this interface can recommend items for a user.
RecommenderBuilder - Interface in org.apache.mahout.cf.taste.eval
Implementations of this inner interface are simple helper classes which create a Recommender to be evaluated based on the given DataModel.
RecommenderEvaluator - Interface in org.apache.mahout.cf.taste.eval
Implementations of this interface evaluate the quality of a Recommender's recommendations.
RecommenderIRStatsEvaluator - Interface in org.apache.mahout.cf.taste.eval
Implementations collect information retrieval-related statistics on a Recommender's performance, including precision, recall and f-measure.
RecommenderJob - Class in org.apache.mahout.cf.taste.hadoop.item
Runs a completely distributed recommender job as a series of mapreduces.
RecommenderJob() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.RecommenderJob
 
RecommenderJob - Class in org.apache.mahout.cf.taste.hadoop.pseudo
This job runs a "pseudo-distributed" recommendation process on Hadoop.
RecommenderJob() - Constructor for class org.apache.mahout.cf.taste.hadoop.pseudo.RecommenderJob
 
RecommenderMapper - Class in org.apache.mahout.cf.taste.hadoop.item
 
RecommenderMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.RecommenderMapper
 
RecommenderReducer - Class in org.apache.mahout.cf.taste.hadoop.pseudo
The Reducer which takes as input the user IDs parsed out by the map phase, and for each unique user ID, computes recommendations with the configured Recommender.
RecommenderReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.pseudo.RecommenderReducer
 
recomputeCenter() - Method in class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
Compute the centroid and set the center to it.
recomputeCenter() - Method in class org.apache.mahout.clustering.kmeans.Cluster
Compute the centroid and set the center to it.
reduce(VIntWritable, Iterator<VIntWritable>, OutputCollector<VIntWritable, VIntWritable>, Reporter) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.ItemBigramGenerator.UserItemReducer
 
reduce(Bigram, Iterator<Bigram>, OutputCollector<Bigram, Bigram>, Reporter) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.ItemSimilarityEstimator.ItemItemCombiner
 
reduce(Bigram, Iterator<Bigram>, OutputCollector<Bigram, DoubleWritable>, Reporter) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.ItemSimilarityEstimator.ItemItemReducer
 
reduce(Bigram, Iterator<TupleWritable>, OutputCollector<VIntWritable, TupleWritable>, Reporter) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.UserItemJoiner.JoinItemUserReducer
 
reduce(Bigram, Iterator<TupleWritable>, OutputCollector<Text, Text>, Reporter) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.UserItemRecommender.RecommenderReducer
 
reduce(IntWritable, Iterator<LongWritable>, OutputCollector<IntWritable, LongWritable>, Reporter) - Method in class org.apache.mahout.cf.taste.hadoop.item.ItemIDIndexReducer
 
reduce(LongWritable, Iterator<ItemPrefWritable>, OutputCollector<LongWritable, VectorWritable>, Reporter) - Method in class org.apache.mahout.cf.taste.hadoop.item.ToUserVectorReducer
 
reduce(IntWritable, Iterator<IntWritable>, OutputCollector<IntWritable, VectorWritable>, Reporter) - Method in class org.apache.mahout.cf.taste.hadoop.item.UserVectorToCooccurrenceReducer
 
reduce(LongWritable, Iterator<NullWritable>, OutputCollector<LongWritable, RecommendedItemsWritable>, Reporter) - Method in class org.apache.mahout.cf.taste.hadoop.pseudo.RecommenderReducer
 
reduce(ItemItemWritable, Iterator<FloatWritable>, OutputCollector<ItemItemWritable, FloatWritable>, Reporter) - Method in class org.apache.mahout.cf.taste.hadoop.slopeone.SlopeOneDiffsToAveragesReducer
 
reduce(LongWritable, Iterator<ItemPrefWritable>, OutputCollector<ItemItemWritable, FloatWritable>, Reporter) - Method in class org.apache.mahout.cf.taste.hadoop.slopeone.SlopeOnePrefsToDiffsReducer
 
reduce(StringTuple, Iterator<DoubleWritable>, OutputCollector<StringTuple, DoubleWritable>, Reporter) - Method in class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesClassifierReducer
 
reduce(StringTuple, Iterator<DoubleWritable>, OutputCollector<StringTuple, DoubleWritable>, Reporter) - Method in class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesThetaNormalizerReducer
 
reduce(StringTuple, Iterator<DoubleWritable>, OutputCollector<StringTuple, DoubleWritable>, Reporter) - Method in class org.apache.mahout.classifier.bayes.mapreduce.cbayes.CBayesThetaNormalizerReducer
 
reduce(StringTuple, Iterator<DoubleWritable>, OutputCollector<StringTuple, DoubleWritable>, Reporter) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureReducer
 
reduce(StringTuple, Iterator<DoubleWritable>, OutputCollector<StringTuple, DoubleWritable>, Reporter) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesTfIdfReducer
 
reduce(StringTuple, Iterator<DoubleWritable>, OutputCollector<StringTuple, DoubleWritable>, Reporter) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesWeightSummerReducer
 
reduce(Text, Iterator<VectorWritable>, OutputCollector<Text, Canopy>, Reporter) - Method in class org.apache.mahout.clustering.canopy.CanopyReducer
 
reduce(Text, Iterator<VectorWritable>, OutputCollector<Text, DirichletCluster<VectorWritable>>, Reporter) - Method in class org.apache.mahout.clustering.dirichlet.DirichletReducer
 
reduce(Text, Iterator<FuzzyKMeansInfo>, OutputCollector<Text, FuzzyKMeansInfo>, Reporter) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansCombiner
 
reduce(Text, Iterator<FuzzyKMeansInfo>, OutputCollector<Text, SoftCluster>, Reporter) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansReducer
 
reduce(Text, Iterator<KMeansInfo>, OutputCollector<Text, KMeansInfo>, Reporter) - Method in class org.apache.mahout.clustering.kmeans.KMeansCombiner
 
reduce(Text, Iterator<KMeansInfo>, OutputCollector<Text, Cluster>, Reporter) - Method in class org.apache.mahout.clustering.kmeans.KMeansReducer
 
reduce(IntPairWritable, Iterable<DoubleWritable>, Reducer<IntPairWritable, DoubleWritable, IntPairWritable, DoubleWritable>.Context) - Method in class org.apache.mahout.clustering.lda.LDAReducer
 
reduce(Text, Iterator<MeanShiftCanopy>, OutputCollector<Text, MeanShiftCanopy>, Reporter) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyReducer
 
reduce(Text, Iterable<TopKStringPatterns>, Reducer<Text, TopKStringPatterns, Text, TopKStringPatterns>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.AggregatorReducer
 
reduce(Text, Iterable<LongWritable>, Reducer<Text, LongWritable, Text, LongWritable>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.ParallelCountingReducer
 
reduce(LongWritable, Iterable<TransactionTree>, Reducer<LongWritable, TransactionTree, LongWritable, TransactionTree>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.ParallelFPGrowthCombiner
 
reduce(LongWritable, Iterable<TransactionTree>, Reducer<LongWritable, TransactionTree, Text, TopKStringPatterns>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.ParallelFPGrowthReducer
 
reduce(LongWritable, Iterable<TransactionTree>, Reducer<LongWritable, TransactionTree, LongWritable, TransactionTree>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionSortingReducer
 
reduce(IntWritable, Iterator<VectorWritable>, OutputCollector<IntWritable, VectorWritable>, Reporter) - Method in class org.apache.mahout.math.hadoop.MatrixMultiplicationJob.MatrixMultiplicationReducer
 
reduce(NullWritable, Iterator<VectorWritable>, OutputCollector<NullWritable, VectorWritable>, Reporter) - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.VectorSummingReducer
 
reduce(IntWritable, Iterator<DistributedRowMatrix.MatrixEntryWritable>, OutputCollector<IntWritable, VectorWritable>, Reporter) - Method in class org.apache.mahout.math.hadoop.TransposeJob.TransposeReducer
 
ReducerMetrics - Enum in org.apache.mahout.cf.taste.hadoop.pseudo
Custom metrics collected by RecommenderReducer.
refresh(Collection<Refreshable>) - Method in interface org.apache.mahout.cf.taste.common.Refreshable
Triggers "refresh" -- whatever that means -- of the implementation.
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.common.RefreshHelper
Typically this is called in and is the entire body of that method.
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.neighborhood.CachingUserNeighborhood
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.FarthestNeighborClusterSimilarity
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemAverageRecommender
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemUserAverageRecommender
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.NearestNeighborClusterSimilarity
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.RandomRecommender
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.file.FileDiffStorage
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc.AbstractJDBCDiffStorage
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.MemoryDiffStorage
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.SlopeOneRecommender
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.SVDRecommender
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender2
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.AveragingPreferenceInferrer
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingItemSimilarity
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingUserSimilarity
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.jdbc.AbstractJDBCItemSimilarity
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.LogLikelihoodSimilarity
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.SpearmanCorrelationSimilarity
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.TanimotoCoefficientSimilarity
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.transforms.CaseAmplification
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.transforms.InverseUserFrequency
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.transforms.ZScore
 
Refreshable - Interface in org.apache.mahout.cf.taste.common
Implementations of this interface have state that can be periodically refreshed.
RefreshHelper - Class in org.apache.mahout.cf.taste.impl.common
A helper class for implementing Refreshable.
RefreshHelper(Callable<?>) - Constructor for class org.apache.mahout.cf.taste.impl.common.RefreshHelper
 
rehash() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
 
rehash() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
 
rehash() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
 
reload() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
 
remove(K) - Method in class org.apache.mahout.cf.taste.impl.common.Cache
Uncaches any existing value for a given key.
remove(long) - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
 
remove(long) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
 
remove(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
 
remove() - Method in class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator
 
remove() - Method in class org.apache.mahout.cf.taste.impl.common.SamplingLongPrimitiveIterator
 
remove() - Method in class org.apache.mahout.common.FileLineIterator
 
remove() - Method in class org.apache.mahout.common.iterator.ArrayIterator
 
remove() - Method in class org.apache.mahout.common.iterator.DelegatingIterator
 
remove() - Method in class org.apache.mahout.common.iterator.EmptyIterator
 
remove() - Method in class org.apache.mahout.common.iterator.PermutingIterator
 
remove() - Method in class org.apache.mahout.common.iterator.SamplingIterator
 
remove() - Method in class org.apache.mahout.common.StringRecordIterator
 
remove() - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.integer.IntegerTupleIterator
 
remove() - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.string.StringTupleIterator
 
remove() - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.TransactionIterator
 
remove() - Method in class org.apache.mahout.fpm.pfpgrowth.MultiTransactionTreeIterator
 
remove() - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree.TransactionTreeIterator
 
remove() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.DistributedMatrixIterator
 
REMOVE_PREFERENCE_SQL_KEY - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
 
removeAll(long[]) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
 
removeAll(FastIDSet) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
 
removeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.CompactRunningAverage
 
removeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.CompactRunningAverageAndStdDev
 
removeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverage
 
removeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev
 
removeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverage
 
removeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev
 
removeDatum(double) - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverage
 
removeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
 
removeDatum(double, double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
 
removeDependency(Refreshable) - Method in class org.apache.mahout.cf.taste.impl.common.RefreshHelper
 
removeHeaderNext(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
See the warning at FileDataModel.setPreference(long, long, float).
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
 
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
 
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
 
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
 
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender
Default implementation which just calls DataModel.removePreference(long, long) (Object, Object)}.
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
 
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemAverageRecommender
 
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemUserAverageRecommender
 
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.SlopeOneRecommender
 
removePreference(long, long) - Method in interface org.apache.mahout.cf.taste.model.DataModel
Removes a particular preference for a user.
removePreference(long, long) - Method in interface org.apache.mahout.cf.taste.recommender.Recommender
 
rename(Path, Path, FileSystem) - Static method in class org.apache.mahout.common.HadoopUtil
 
reorderHeaderTable() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
replaceAt(int, Integer) - Method in class org.apache.mahout.common.IntegerTuple
Replaces the string at the given index with the given newString
replaceAt(int, String) - Method in class org.apache.mahout.common.StringTuple
Replaces the string at the given index with the given newString
replaceChild(int, int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
rescore(T, double) - Method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
 
rescore(long, double) - Method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
 
rescore(long, double) - Method in interface org.apache.mahout.cf.taste.recommender.IDRescorer
 
rescore(T, double) - Method in interface org.apache.mahout.cf.taste.recommender.Rescorer
 
Rescorer<T> - Interface in org.apache.mahout.cf.taste.recommender
A simply assigns a new "score" to a thing like an ID of an item or user which a Recommender is considering returning as a top recommendation.
ResultAnalyzer - Class in org.apache.mahout.classifier
ResultAnalyzer captures the classification statistics and displays in a tabular manner
ResultAnalyzer(Collection<String>, String) - Constructor for class org.apache.mahout.classifier.ResultAnalyzer
 
retainAll(FastIDSet) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
 
Retriever<K,V> - Interface in org.apache.mahout.cf.taste.impl.common
Implementations can retrieve a value for a given key.
retrieveTimesSquaredOutputVector(JobConf) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
 
rGamma(double, double) - Static method in class org.apache.mahout.clustering.dirichlet.UncommonDistributions
Returns a double sampled according to this distribution.
RMSRecommenderEvaluator - Class in org.apache.mahout.cf.taste.impl.eval
A RecommenderEvaluator which computes the "root mean squared" difference between predicted and actual ratings for users.
RMSRecommenderEvaluator() - Constructor for class org.apache.mahout.cf.taste.impl.eval.RMSRecommenderEvaluator
 
rMultinom(Vector) - Static method in class org.apache.mahout.clustering.dirichlet.UncommonDistributions
Returns one sample from a multinomial.
rMultinom(int, Vector) - Static method in class org.apache.mahout.clustering.dirichlet.UncommonDistributions
Returns a multinomial vector sampled from the given probabilities rmultinom should be implemented as successive binomial sampling.
rNorm(double, double) - Static method in class org.apache.mahout.clustering.dirichlet.UncommonDistributions
Return a random value from a normal distribution with the given mean and standard deviation
ROOTNODEID - Static variable in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
rsplit(Random, int) - Method in class org.apache.mahout.df.data.Data
Splits the data in two, returns one part, and this gets the rest of the data.
rsubset(Random, double) - Method in class org.apache.mahout.df.data.Data
Returns a random subset without modifying the current data
run(String[]) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.ItemBigramGenerator
 
run(String[]) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.ItemSimilarityEstimator
 
run(String[]) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.UserItemJoiner
 
run(String[]) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.UserItemRecommender
 
run(String[]) - Method in class org.apache.mahout.cf.taste.hadoop.item.RecommenderJob
 
run(String[]) - Method in class org.apache.mahout.cf.taste.hadoop.pseudo.RecommenderJob
 
run(String[]) - Method in class org.apache.mahout.cf.taste.hadoop.slopeone.SlopeOneAverageDiffsJob
 
run(Configuration) - Method in class org.apache.mahout.df.mapred.partial.Step0Job
Computes the partitions' first ids in Hadoop's order
run(Configuration, TreeID[], Node[], PredictionCallback) - Method in class org.apache.mahout.df.mapred.partial.Step2Job
Run the second step.
run(Configuration) - Method in class org.apache.mahout.df.mapreduce.partial.Step0Job
Computes the partitions' info in Hadoop's order
run(Configuration, TreeID[], Node[], PredictionCallback) - Method in class org.apache.mahout.df.mapreduce.partial.Step2Job
Run the second step.
run(String[]) - Method in class org.apache.mahout.df.tools.Frequencies
 
run(Configuration) - Method in class org.apache.mahout.df.tools.FrequenciesJob
 
run(String[]) - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver.DistributedLanczosSolverJob
 
run(String[]) - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
 
run(String[]) - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob
 
run(String[]) - Method in class org.apache.mahout.math.hadoop.MatrixMultiplicationJob
 
run(String[]) - Method in class org.apache.mahout.math.hadoop.TransposeJob
 
runClustering(String, String, String) - Static method in class org.apache.mahout.clustering.dirichlet.DirichletDriver
Run the job using supplied arguments
runFuzzyKMeansIteration(List<Vector>, List<SoftCluster>, FuzzyKMeansClusterer) - Static method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer
Perform a single iteration over the points and clusters, assigning points to clusters and returning if the iterations are completed.
runIteration(String, String, String, String, String, int, int, double, int) - Static method in class org.apache.mahout.clustering.dirichlet.DirichletDriver
Run the job using supplied arguments
runIteration(String, String, String, int, int, double, int) - Static method in class org.apache.mahout.clustering.lda.LDADriver
Run the job using supplied arguments
runJob(Parameters) - Static method in class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesClassifierDriver
Run the job
runJob(String, String, BayesParameters) - Method in class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesDriver
Run the job
runJob(String, String, BayesParameters) - Method in class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesThetaNormalizerDriver
Run the job
runJob(String, String, BayesParameters) - Method in class org.apache.mahout.classifier.bayes.mapreduce.cbayes.CBayesDriver
Run the job
runJob(String, String, BayesParameters) - Method in class org.apache.mahout.classifier.bayes.mapreduce.cbayes.CBayesThetaNormalizerDriver
Run the job
runJob(String, String, BayesParameters) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureDriver
Run the job
runJob(String, String, BayesParameters) - Method in interface org.apache.mahout.classifier.bayes.mapreduce.common.BayesJob
Execute a classification job on a cluster.
runJob(String, String, BayesParameters) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesTfIdfDriver
Run the job
runJob(String, String, BayesParameters) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesWeightSummerDriver
Run the job
runJob(String, String, String, double, double) - Static method in class org.apache.mahout.clustering.canopy.CanopyClusteringJob
Run the job
runJob(String, String, String, double, double) - Static method in class org.apache.mahout.clustering.canopy.CanopyDriver
Run the job
runJob(String, String, String, String, double, double) - Static method in class org.apache.mahout.clustering.canopy.ClusterDriver
Run the job
runJob(String, String, String, int, int, double, int) - Static method in class org.apache.mahout.clustering.dirichlet.DirichletDriver
Deprecated. since it presumes 2-d, dense vector model prototypes
runJob(String, String, String, String, int, int, int, double, int) - Static method in class org.apache.mahout.clustering.dirichlet.DirichletDriver
Run the job using supplied arguments
runJob(String, String, String, String, int, int, int, double) - Static method in class org.apache.mahout.clustering.dirichlet.DirichletJob
Run the job using supplied arguments, deleting the output directory if it exists beforehand
runJob(String, String, String, String, double, int, int, int, float) - Static method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver
Run the job using supplied arguments
runJob(String, String, String, String, double, int, int, int, boolean, float) - Static method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansJob
Run the job using supplied arguments
runJob(String, String, String, String, double, int, int) - Static method in class org.apache.mahout.clustering.kmeans.KMeansDriver
Run the job using supplied arguments
runJob(String, String, int, int, double, int, int) - Static method in class org.apache.mahout.clustering.lda.LDADriver
Run the job using supplied arguments
runJob(String, String, String, String, double, double, double) - Static method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyDriver
Run the job
runJob(String, String, String, double, double, double, int) - Static method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyJob
Run the job
runJob(JobConf) - Method in class org.apache.mahout.df.mapred.Builder
Sequential implementation should override this method to simulate the job execution
runJob(Job) - Method in class org.apache.mahout.df.mapreduce.Builder
Sequential implementation should override this method to simulate the job execution
runKMeansIteration(List<Vector>, List<Cluster>, DistanceMeasure, double) - Static method in class org.apache.mahout.clustering.kmeans.KMeansClusterer
Perform a single iteration over the points and clusters, assigning points to clusters and returning if the iterations are completed.
runLoad(Recommender) - Static method in class org.apache.mahout.cf.taste.impl.eval.LoadEvaluator
 
runMeanShiftCanopyIteration(List<MeanShiftCanopy>, MeanShiftCanopyClusterer) - Static method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyClusterer
Perform a single iteration over the points and clusters, assigning points to clusters and returning if the iterations are completed.
RunningAverage - Interface in org.apache.mahout.cf.taste.impl.common
Interface for classes that can keep track of a running average of a series of numbers.
RunningAverageAndStdDev - Interface in org.apache.mahout.cf.taste.impl.common
Extends RunningAverage by adding standard deviation too.
runPFPGrowth(Parameters) - Static method in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
 

S

sample() - Method in class org.apache.mahout.clustering.dirichlet.models.L1Model
 
sample() - Method in class org.apache.mahout.clustering.dirichlet.models.NormalModel
TODO: Return a proper sample from the posterior.
sample() - Method in class org.apache.mahout.clustering.dirichlet.models.SampledNormalModel
Return an instance with the same parameters
SampledNormalDistribution - Class in org.apache.mahout.clustering.dirichlet.models
An implementation of the ModelDistribution interface suitable for testing the DirichletCluster algorithm.
SampledNormalDistribution() - Constructor for class org.apache.mahout.clustering.dirichlet.models.SampledNormalDistribution
 
SampledNormalDistribution(VectorWritable) - Constructor for class org.apache.mahout.clustering.dirichlet.models.SampledNormalDistribution
 
SampledNormalModel - Class in org.apache.mahout.clustering.dirichlet.models
 
SampledNormalModel() - Constructor for class org.apache.mahout.clustering.dirichlet.models.SampledNormalModel
 
SampledNormalModel(Vector, double) - Constructor for class org.apache.mahout.clustering.dirichlet.models.SampledNormalModel
 
sampleFromPosterior(Model<VectorWritable>[]) - Method in class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalDistribution
 
sampleFromPosterior(Model<VectorWritable>[]) - Method in class org.apache.mahout.clustering.dirichlet.models.L1ModelDistribution
 
sampleFromPosterior(Model<O>[]) - Method in interface org.apache.mahout.clustering.dirichlet.models.ModelDistribution
Return a list of models sampled from the posterior
sampleFromPosterior(Model<VectorWritable>[]) - Method in class org.apache.mahout.clustering.dirichlet.models.NormalModelDistribution
 
sampleFromPosterior(Model<VectorWritable>[]) - Method in class org.apache.mahout.clustering.dirichlet.models.SampledNormalDistribution
 
sampleFromPrior(int) - Method in class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalDistribution
 
sampleFromPrior(int) - Method in class org.apache.mahout.clustering.dirichlet.models.L1ModelDistribution
 
sampleFromPrior(int) - Method in interface org.apache.mahout.clustering.dirichlet.models.ModelDistribution
Return a list of models sampled from the prior
sampleFromPrior(int) - Method in class org.apache.mahout.clustering.dirichlet.models.NormalModelDistribution
 
sampleFromPrior(int) - Method in class org.apache.mahout.clustering.dirichlet.models.SampledNormalDistribution
 
SamplingIterable<T> - Class in org.apache.mahout.common.iterator
Wraps an Iterable whose Iterable.iterator() returns only some subset of the elements that it would, as determined by a iterator rate parameter.
SamplingIterable(Iterable<? extends T>, double) - Constructor for class org.apache.mahout.common.iterator.SamplingIterable
 
SamplingIterator<T> - Class in org.apache.mahout.common.iterator
Wraps an Iterator and returns only some subset of the elements that it would, as determined by a iterator rate parameter.
SamplingIterator(Iterator<? extends T>, double) - Constructor for class org.apache.mahout.common.iterator.SamplingIterator
 
SamplingLongPrimitiveIterator - Class in org.apache.mahout.cf.taste.impl.common
Wraps an Iterator and returns only some subset of the elements that it would, as determined by a sampling rate parameter.
SamplingLongPrimitiveIterator(LongPrimitiveIterator, double) - Constructor for class org.apache.mahout.cf.taste.impl.common.SamplingLongPrimitiveIterator
 
saveCleanEigens(List<Map.Entry<MatrixSlice, EigenStatus>>) - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob
 
scale(VectorWritable) - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesSquaredMapper
 
seedBytesToLong(byte[]) - Static method in class org.apache.mahout.common.RandomUtils
 
SequenceFileModelReader - Class in org.apache.mahout.classifier.bayes.io
This Class reads the different interim files created during the Training stage as well as the Model File during testing.
SequenceFileOutputCollector<K extends org.apache.hadoop.io.Writable,V extends org.apache.hadoop.io.Writable> - Class in org.apache.mahout.fpm.pfpgrowth.convertors
Collects the Writable key and Writable value, and writes them into a SequenceFile
SequenceFileOutputCollector(SequenceFile.Writer) - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.SequenceFileOutputCollector
 
SequentialAccessSparseVectorWritable - Class in org.apache.mahout.math
 
SequentialAccessSparseVectorWritable(SequentialAccessSparseVector) - Constructor for class org.apache.mahout.math.SequentialAccessSparseVectorWritable
 
SequentialAccessSparseVectorWritable() - Constructor for class org.apache.mahout.math.SequentialAccessSparseVectorWritable
 
SequentialBuilder - Class in org.apache.mahout.df.ref
Builds a Random Decision Forest using a given TreeBuilder to grow the trees
SequentialBuilder(Random, TreeBuilder, Data) - Constructor for class org.apache.mahout.df.ref.SequentialBuilder
Constructor
serialize(DirichletCluster<?>, Type, JsonSerializationContext) - Method in class org.apache.mahout.clustering.dirichlet.JsonClusterAdapter
 
serialize(Model<?>, Type, JsonSerializationContext) - Method in class org.apache.mahout.clustering.dirichlet.JsonModelAdapter
 
serializeOutput(Matrix, List<Double>, String) - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
TODO: this should be refactored to allow both LanczosSolver impls to properly serialize output in a generic way.
set(int, int) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.Bigram
 
set(int, Writable) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.TupleWritable
 
set(int, Preference) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
 
set(int, Preference) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
 
set(int, Preference) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
 
set(int, Preference) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
 
set(int, Preference) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
Sets preference at i from information in the given Preference
set(K, V) - Method in interface org.apache.mahout.common.cache.Cache
puts the key and its value into the cache
set(K, V) - Method in class org.apache.mahout.common.cache.HybridCache
 
set(K, V) - Method in class org.apache.mahout.common.cache.LeastKCache
 
set(K, V) - Method in class org.apache.mahout.common.cache.LFUCache
 
set(K, V) - Method in class org.apache.mahout.common.cache.LRUCache
 
set(int, int) - Method in class org.apache.mahout.common.IntPairWritable
 
set(T) - Method in class org.apache.mahout.common.parameters.AbstractParameter
 
set(T) - Method in interface org.apache.mahout.common.parameters.Parameter
 
set(String, String) - Method in class org.apache.mahout.common.Parameters
 
set(int, double) - Method in class org.apache.mahout.df.data.Instance
Set the value at the given index
set(int, int) - Method in class org.apache.mahout.df.mapreduce.partial.TreeID
 
set(Matrix) - Method in class org.apache.mahout.math.MatrixWritable
 
set(Vector) - Method in class org.apache.mahout.math.VectorWritable
 
SET_PREFERENCE_SQL_KEY - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
 
setBoundPoints(IntArrayList) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopy
 
setCenter(Vector) - Method in class org.apache.mahout.clustering.ClusterBase
 
setClusters(List<DirichletCluster<O>>) - Method in class org.apache.mahout.clustering.dirichlet.DirichletState
 
setCol(int) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
 
setCombinerPass(int) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansInfo
 
setConditional(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
setConf(Configuration) - Method in class org.apache.mahout.cf.taste.hadoop.AbstractJob
 
setConf(Configuration) - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver.DistributedLanczosSolverJob
 
setConf(Configuration) - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
 
setConverged(boolean) - Method in class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
 
setConverged(boolean) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopy
 
setEigensToVerify(VectorIterable) - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob
 
setFirst(int) - Method in class org.apache.mahout.common.IntPairWritable
 
setFirstLevelCacheSize(int) - Static method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTreeDepthCache
 
setId(int) - Method in class org.apache.mahout.clustering.ClusterBase
 
setIgSplit(IgSplit) - Method in class org.apache.mahout.df.builder.DefaultTreeBuilder
 
setItemID(int, long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
Sets item ID for preference at i.
setItemID(int, long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
 
setItemID(int, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
Sets item ID for preference at i.
setItemID(int, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
 
setItemID(int, long) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
Sets item ID for preference at i.
setLabel(String) - Method in class org.apache.mahout.classifier.ClassifierResult
 
setLabels(int[]) - Method in class org.apache.mahout.math.MultiLabelVectorWritable
 
setLoginTimeout(int) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.ConnectionPoolDataSource
 
setLogWriter(PrintWriter) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.ConnectionPoolDataSource
 
setLongParameter(PreparedStatement, int, long) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
Subclasses may wish to override this if ID values in the file are not numeric.
setM(int) - Method in class org.apache.mahout.df.builder.DefaultTreeBuilder
 
setMaxPreference(float) - Method in interface org.apache.mahout.cf.taste.eval.RecommenderEvaluator
Sets the maximum preference value that is possible in the current problem domain being evaluated.
setMinPreference(float) - Method in interface org.apache.mahout.cf.taste.eval.RecommenderEvaluator
Sets the minimum preference value that is possible in the current problem domain being evaluated.
setMixture(Vector) - Method in class org.apache.mahout.clustering.dirichlet.DirichletState
 
setModel(Model<O>) - Method in class org.apache.mahout.clustering.dirichlet.DirichletCluster
 
setModelFactory(ModelDistribution<O>) - Method in class org.apache.mahout.clustering.dirichlet.DirichletState
 
setModelPrototype(VectorWritable) - Method in class org.apache.mahout.clustering.dirichlet.models.VectorModelDistribution
 
setNbTrees(Configuration, int) - Static method in class org.apache.mahout.df.mapred.Builder
Set the number of trees to grow for the map-reduce job
setNbTrees(Configuration, int) - Static method in class org.apache.mahout.df.mapreduce.Builder
Set the number of trees to grow for the map-reduce job
setNext(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
setNumClusters(int) - Method in class org.apache.mahout.clustering.dirichlet.DirichletState
 
setNumPoints(int) - Method in class org.apache.mahout.clustering.ClusterBase
 
setOutputDirName(String) - Method in class org.apache.mahout.df.mapred.Builder
Sets the Output directory name, will be creating in the working directory
setOutputDirName(String) - Method in class org.apache.mahout.df.mapreduce.Builder
Sets the Output directory name, will be creating in the working directory
setOutputTempPathString(String) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
 
setParent(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
setPointTotal(Vector) - Method in class org.apache.mahout.clustering.ClusterBase
 
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
Note that this method only updates the in-memory preference data that this maintains; it does not modify any data on disk.
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
 
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
 
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractBooleanPrefJDBCDataModel
 
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
 
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
 
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender
Default implementation which just calls DataModel.setPreference(long, long, float).
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
 
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemAverageRecommender
 
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemUserAverageRecommender
 
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.SlopeOneRecommender
 
setPreference(long, long, float) - Method in interface org.apache.mahout.cf.taste.model.DataModel
Sets a particular preference (item plus rating) for a user.
setPreference(long, long, float) - Method in interface org.apache.mahout.cf.taste.recommender.Recommender
 
setPreferenceInferrer(PreferenceInferrer) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingUserSimilarity
 
setPreferenceInferrer(PreferenceInferrer) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity
 
setPreferenceInferrer(PreferenceInferrer) - Method in class org.apache.mahout.cf.taste.impl.similarity.LogLikelihoodSimilarity
 
setPreferenceInferrer(PreferenceInferrer) - Method in class org.apache.mahout.cf.taste.impl.similarity.SpearmanCorrelationSimilarity
 
setPreferenceInferrer(PreferenceInferrer) - Method in class org.apache.mahout.cf.taste.impl.similarity.TanimotoCoefficientSimilarity
 
setPreferenceInferrer(PreferenceInferrer) - Method in interface org.apache.mahout.cf.taste.similarity.UserSimilarity
Attaches a PreferenceInferrer to the implementation.
setRow(int) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
 
setScore(double) - Method in class org.apache.mahout.classifier.ClassifierResult
 
setSecond(int) - Method in class org.apache.mahout.common.IntPairWritable
 
setSeed(long) - Method in class org.apache.mahout.common.RandomWrapper
 
setSigmaJSigmaK(double) - Method in class org.apache.mahout.classifier.bayes.datastore.InMemoryBayesDatastore
 
setSinglePath(boolean) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
setStep2(Configuration, boolean) - Static method in class org.apache.mahout.df.mapred.partial.PartialBuilder
Should run the second step of the builder ?
setStep2(Configuration, boolean) - Static method in class org.apache.mahout.df.mapreduce.partial.PartialBuilder
Should run the second step of the builder ?
setStringValue(String) - Method in class org.apache.mahout.common.parameters.ClassParameter
 
setStringValue(String) - Method in class org.apache.mahout.common.parameters.CompositeParameter
 
setStringValue(String) - Method in class org.apache.mahout.common.parameters.DoubleParameter
 
setStringValue(String) - Method in class org.apache.mahout.common.parameters.FileParameter
 
setStringValue(String) - Method in class org.apache.mahout.common.parameters.IntegerParameter
 
setStringValue(String) - Method in interface org.apache.mahout.common.parameters.Parameter
 
setStringValue(String) - Method in class org.apache.mahout.common.parameters.PathParameter
 
setStringValue(String) - Method in class org.apache.mahout.common.parameters.StringParameter
 
setSumFeatureWeight(String, double) - Method in class org.apache.mahout.classifier.bayes.datastore.InMemoryBayesDatastore
 
setSumLabelWeight(String, double) - Method in class org.apache.mahout.classifier.bayes.datastore.InMemoryBayesDatastore
 
setTempPrefs(PreferenceArray) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
 
setThetaNormalizer(String, double) - Method in class org.apache.mahout.classifier.bayes.datastore.InMemoryBayesDatastore
 
setup(Mapper<WritableComparable<?>, VectorWritable, IntPairWritable, DoubleWritable>.Context) - Method in class org.apache.mahout.clustering.lda.LDAMapper
 
setup(Mapper<IntWritable, NullWritable, IntWritable, MapredOutput>.Context) - Method in class org.apache.mahout.df.mapreduce.inmem.InMemMapper
 
setup(Mapper<KEYIN, VALUEIN, KEYOUT, VALUEOUT>.Context) - Method in class org.apache.mahout.df.mapreduce.MapredMapper
 
setup(Mapper<LongWritable, Text, IntWritable, Step0Job.Step0Output>.Context) - Method in class org.apache.mahout.df.mapreduce.partial.Step0Job.Step0Mapper
 
setup(Mapper<LongWritable, Text, TreeID, MapredOutput>.Context) - Method in class org.apache.mahout.df.mapreduce.partial.Step1Mapper
 
setup(Mapper<LongWritable, Text, TreeID, MapredOutput>.Context) - Method in class org.apache.mahout.df.mapreduce.partial.Step2Mapper
 
setup(Reducer<Text, TopKStringPatterns, Text, TopKStringPatterns>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.AggregatorReducer
 
setup(Mapper<LongWritable, Text, Text, LongWritable>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.ParallelCountingMapper
 
setup(Mapper<LongWritable, TransactionTree, LongWritable, TransactionTree>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.ParallelFPGrowthMapper
 
setup(Reducer<LongWritable, TransactionTree, Text, TopKStringPatterns>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.ParallelFPGrowthReducer
 
setup(Mapper<LongWritable, Text, LongWritable, TransactionTree>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionSortingMapper
 
setUserID(int, long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
 
setUserID(int, long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
Sets user ID for preference at i.
setUserID(int, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
 
setUserID(int, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
Sets user ID for preference at i.
setUserID(int, long) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
Sets user ID for preference at i.
setVal(double) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
 
setValue(int, float) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
 
setValue(float) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanPreference
 
setValue(int, float) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
 
setValue(int, float) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
 
setValue(float) - Method in class org.apache.mahout.cf.taste.impl.model.GenericPreference
 
setValue(int, float) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
 
setValue(float) - Method in interface org.apache.mahout.cf.taste.model.Preference
Sets the strength of the preference for this item
setValue(int, float) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
Sets preference value for preference at i.
setWeights(Vector) - Method in class org.apache.mahout.common.distance.WeightedDistanceMeasure
 
shallowCopy() - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopy
 
shiftBias(double) - Method in class org.apache.mahout.classifier.discriminative.LinearModel
Shift the bias of the model.
shiftToMean(MeanShiftCanopy) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyClusterer
Shift the center to the new centroid of the cluster
SimilarityTransform - Interface in org.apache.mahout.cf.taste.transforms
Implementations encapsulate some transformation on similarity values between two things, where things might be IDs of users or items or something else.
SimilarUser - Class in org.apache.mahout.cf.taste.impl.recommender
Simply encapsulates a user and a similarity value.
SimilarUser(long, double) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.SimilarUser
 
singlePath() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
SingleTreePredictions - Class in org.apache.mahout.df.callback
Collects the predictions for a single tree
SingleTreePredictions(int) - Constructor for class org.apache.mahout.df.callback.SingleTreePredictions
 
size() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
 
size() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
 
size() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
 
size() - Method in interface org.apache.mahout.common.cache.Cache
returns the current size of the cache
size() - Method in class org.apache.mahout.common.cache.HybridCache
 
size() - Method in class org.apache.mahout.common.cache.LeastKCache
 
size() - Method in class org.apache.mahout.common.cache.LFUCache
 
size() - Method in class org.apache.mahout.common.cache.LRUCache
 
size() - Method in class org.apache.mahout.df.data.Data
Returns the number of elements
skip(int) - Method in class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator
 
skip(int) - Method in class org.apache.mahout.cf.taste.impl.common.SamplingLongPrimitiveIterator
 
skip(int) - Method in interface org.apache.mahout.cf.taste.impl.common.SkippingIterator
Skip the next n elements supplied by this Iterator.
skip(int) - Method in class org.apache.mahout.common.FileLineIterator
 
skip(int) - Method in class org.apache.mahout.common.iterator.ArrayIterator
 
SkippingIterator<V> - Interface in org.apache.mahout.cf.taste.impl.common
Adds ability to skip ahead in an iterator, perhaps more efficiently than by calling Iterator.next() repeatedly.
SlopeOneAverageDiffsJob - Class in org.apache.mahout.cf.taste.hadoop.slopeone
 
SlopeOneAverageDiffsJob() - Constructor for class org.apache.mahout.cf.taste.hadoop.slopeone.SlopeOneAverageDiffsJob
 
SlopeOneDiffsToAveragesReducer - Class in org.apache.mahout.cf.taste.hadoop.slopeone
 
SlopeOneDiffsToAveragesReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.slopeone.SlopeOneDiffsToAveragesReducer
 
SlopeOnePrefsToDiffsReducer - Class in org.apache.mahout.cf.taste.hadoop.slopeone
 
SlopeOnePrefsToDiffsReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.slopeone.SlopeOnePrefsToDiffsReducer
 
SlopeOneRecommender - Class in org.apache.mahout.cf.taste.impl.recommender.slopeone
A basic "slope one" recommender.
SlopeOneRecommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.slopeone.SlopeOneRecommender
Creates a default (weighted) based on the given DataModel.
SlopeOneRecommender(DataModel, Weighting, Weighting, DiffStorage) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.slopeone.SlopeOneRecommender
Creates a based on the given DataModel.
SoftCluster - Class in org.apache.mahout.clustering.fuzzykmeans
 
SoftCluster() - Constructor for class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
 
SoftCluster(Vector) - Constructor for class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
Construct a new SoftCluster with the given point as its center
SoftCluster(Vector, int) - Constructor for class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
Construct a new SoftCluster with the given point as its center
SoftCluster(String) - Constructor for class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
Construct a new softcluster with the given clusterID
sortByItem() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
 
sortByItem() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
 
sortByItem() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
 
sortByItem() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
 
sortByItem() - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
Sorts underlying array by item ID, ascending.
sortByUser() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
 
sortByUser() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
 
sortByUser() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
 
sortByUser() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
 
sortByUser() - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
Sorts underlying array by user ID, ascending.
sortByValue() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
 
sortByValue() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
 
sortByValue() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
 
sortByValue() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
 
sortByValue() - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
Sorts underlying array by preference value, ascending.
sortByValueReversed() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
 
sortByValueReversed() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
 
sortByValueReversed() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
 
sortByValueReversed() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
 
sortByValueReversed() - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
Sorts underlying array by preference value, descending.
sortSplits(InputSplit[]) - Static method in class org.apache.mahout.df.mapred.Builder
sort the splits into order based on size, so that the biggest go first.
This is the same code used by Hadoop's JobClient.
sortSplits(InputSplit[]) - Static method in class org.apache.mahout.df.mapreduce.Builder
sort the splits into order based on size, so that the biggest go first.
This is the same code used by Hadoop's JobClient.
SpearmanCorrelationSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
Like PearsonCorrelationSimilarity, but compares relative ranking of preference values instead of preference values themselves.
SpearmanCorrelationSimilarity(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.SpearmanCorrelationSimilarity
 
Split - Class in org.apache.mahout.df.split
Contains enough information to identify each split
Split(int, double, double) - Constructor for class org.apache.mahout.df.split.Split
 
Split(int, double) - Constructor for class org.apache.mahout.df.split.Split
 
split - Variable in class org.apache.mahout.df.split.Split
split value for NUMERICAL attributes
SPLITTER - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
 
SquaredEuclideanDistanceMeasure - Class in org.apache.mahout.common.distance
Like EuclideanDistanceMeasure but it does not take the square root.
SquaredEuclideanDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure
 
StableFixedSizeSamplingIterator<T> - Class in org.apache.mahout.common.iterator
Sample a fixed number of elements from an Iterator.
StableFixedSizeSamplingIterator(int, Iterator<T>) - Constructor for class org.apache.mahout.common.iterator.StableFixedSizeSamplingIterator
 
startAggregating(Parameters) - Static method in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
Run the aggregation Job to aggregate the different TopK patterns and group each Pattern by the features present in it and thus calculate the final Top K frequent Patterns for each feature
startGroupingItems(Parameters) - Static method in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
Group the given Features into g groups as defined by the numGroups parameter in params
startParallelCounting(Parameters) - Static method in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
Count the frequencies of various features in parallel using Map/Reduce
startParallelFPGrowth(Parameters) - Static method in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
Run the Parallel FPGrowth Map/Reduce Job to calculate the Top K features of group dependent shards
startTransactionSorting(Parameters) - Static method in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
Run the Parallel FPGrowth Map/Reduce Job to calculate the Top K features of group dependent shards
STATE_IN_KEY - Static variable in class org.apache.mahout.clustering.dirichlet.DirichletDriver
 
StatusUpdater - Interface in org.apache.mahout.fpm.pfpgrowth.convertors
An interface of a Status updater
std() - Method in class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
Compute a "standard deviation" value to use as the "radius" of the cluster for display purposes
Step0Job - Class in org.apache.mahout.df.mapred.partial
preparation step of the partial mapreduce builder.
Step0Job(Path, Path, Path) - Constructor for class org.apache.mahout.df.mapred.partial.Step0Job
 
Step0Job - Class in org.apache.mahout.df.mapreduce.partial
preparation step of the partial mapreduce builder.
Step0Job(Path, Path, Path) - Constructor for class org.apache.mahout.df.mapreduce.partial.Step0Job
 
Step0Job.Step0Mapper - Class in org.apache.mahout.df.mapreduce.partial
Outputs the first key and the size of the partition
Step0Job.Step0Mapper() - Constructor for class org.apache.mahout.df.mapreduce.partial.Step0Job.Step0Mapper
 
Step0Job.Step0Output - Class in org.apache.mahout.df.mapred.partial
Output of the step0's mappers
Step0Job.Step0Output(long, int) - Constructor for class org.apache.mahout.df.mapred.partial.Step0Job.Step0Output
 
Step0Job.Step0Output - Class in org.apache.mahout.df.mapreduce.partial
Output of the step0's mappers
Step0Job.Step0Output(long, int) - Constructor for class org.apache.mahout.df.mapreduce.partial.Step0Job.Step0Output
 
Step1Mapper - Class in org.apache.mahout.df.mapred.partial
First step of the Partial Data Builder.
Step1Mapper() - Constructor for class org.apache.mahout.df.mapred.partial.Step1Mapper
 
Step1Mapper - Class in org.apache.mahout.df.mapreduce.partial
First step of the Partial Data Builder.
Step1Mapper() - Constructor for class org.apache.mahout.df.mapreduce.partial.Step1Mapper
 
Step2Job - Class in org.apache.mahout.df.mapred.partial
2nd step of the partial mapreduce builder.
Step2Job(Path, Path, Path, Step0Job.Step0Output[]) - Constructor for class org.apache.mahout.df.mapred.partial.Step2Job
 
Step2Job - Class in org.apache.mahout.df.mapreduce.partial
2nd step of the partial mapreduce builder.
Step2Job(Path, Path, Path, Step0Job.Step0Output[]) - Constructor for class org.apache.mahout.df.mapreduce.partial.Step2Job
 
Step2Mapper - Class in org.apache.mahout.df.mapred.partial
Second step of PartialBuilder.
Step2Mapper() - Constructor for class org.apache.mahout.df.mapred.partial.Step2Mapper
 
Step2Mapper - Class in org.apache.mahout.df.mapreduce.partial
Second step of PartialBuilder.
Step2Mapper() - Constructor for class org.apache.mahout.df.mapreduce.partial.Step2Mapper
 
STEvolutionEngine<T> - Class in org.apache.mahout.ga.watchmaker
Single Threaded Evolution Engine.
STEvolutionEngine(CandidateFactory<T>, EvolutionaryOperator<T>, FitnessEvaluator<? super T>, SelectionStrategy<? super T>, Random) - Constructor for class org.apache.mahout.ga.watchmaker.STEvolutionEngine
 
STFitnessEvaluator<T> - Class in org.apache.mahout.ga.watchmaker
Special Fitness Evaluator that evaluates all the population ones.
STFitnessEvaluator() - Constructor for class org.apache.mahout.ga.watchmaker.STFitnessEvaluator
 
store(FileSystem, Path, TreeID[], Node[], int[]) - Static method in class org.apache.mahout.df.mapreduce.partial.InterResults
Write the forest trees into a file
storeMapping(long, String) - Method in class org.apache.mahout.cf.taste.impl.model.AbstractJDBCIDMigrator
 
storeMapping(long, String) - Method in class org.apache.mahout.cf.taste.impl.model.MemoryIDMigrator
 
storeMapping(long, String) - Method in interface org.apache.mahout.cf.taste.model.IDMigrator
Stores the reverse long-to-String mapping in some kind of backing store.
stringAt(int) - Method in class org.apache.mahout.common.StringTuple
Fetches the string at the given location
StringOutputConverter - Class in org.apache.mahout.fpm.pfpgrowth.convertors.string
Collects a string pattern in a MaxHeap and outputs the top K patterns
StringOutputConverter(OutputCollector<Text, TopKStringPatterns>) - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.string.StringOutputConverter
 
StringParameter - Class in org.apache.mahout.common.parameters
 
StringParameter(String, String, JobConf, String, String) - Constructor for class org.apache.mahout.common.parameters.StringParameter
 
StringRecordIterator - Class in org.apache.mahout.common
 
StringRecordIterator(FileLineIterable, String) - Constructor for class org.apache.mahout.common.StringRecordIterator
 
StringTuple - Class in org.apache.mahout.common
An Ordered List of Strings which can be used in a Hadoop Map/Reduce Job
StringTuple() - Constructor for class org.apache.mahout.common.StringTuple
 
StringTuple(String) - Constructor for class org.apache.mahout.common.StringTuple
 
StringTuple(Iterable<String>) - Constructor for class org.apache.mahout.common.StringTuple
 
StringTuple(String[]) - Constructor for class org.apache.mahout.common.StringTuple
 
StringTupleIterator - Class in org.apache.mahout.fpm.pfpgrowth.convertors.string
Iterate over the StringTuple as an iterator of List<String>
StringTupleIterator(Iterator<StringTuple>) - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.string.StringTupleIterator
 
StringUtils - Class in org.apache.mahout.common
Offers two methods to convert an object to a string representation and restore the object given its string representation.
subset(Condition) - Method in class org.apache.mahout.df.data.Data
Returns the subset from this data that matches the given condition
sum(int[]) - Static method in class org.apache.mahout.df.data.DataUtils
Computes the sum of the values
Summarizable - Interface in org.apache.mahout.common
A Summarizable Interface.
summarize() - Method in class org.apache.mahout.classifier.ConfusionMatrix
 
summarize() - Method in class org.apache.mahout.classifier.ResultAnalyzer
 
summarize() - Method in interface org.apache.mahout.common.Summarizable
 
support() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
 
SVDRecommender - Class in org.apache.mahout.cf.taste.impl.recommender.svd
A Recommender which uses Single Value Decomposition to find the main features of the data set.
SVDRecommender(DataModel, int, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.SVDRecommender
 
swap() - Method in class org.apache.mahout.common.LongPair
 
swap() - Method in class org.apache.mahout.common.Pair
 

T

T1_KEY - Static variable in interface org.apache.mahout.clustering.canopy.CanopyConfigKeys
 
T1_KEY - Static variable in interface org.apache.mahout.clustering.meanshift.MeanShiftCanopyConfigKeys
 
T2_KEY - Static variable in interface org.apache.mahout.clustering.canopy.CanopyConfigKeys
 
T2_KEY - Static variable in interface org.apache.mahout.clustering.meanshift.MeanShiftCanopyConfigKeys
 
TanimotoCoefficientSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
An implementation of a "similarity" based on the Tanimoto coefficient, or extended Jaccard coefficient.
TanimotoCoefficientSimilarity(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.TanimotoCoefficientSimilarity
 
TanimotoDistanceMeasure - Class in org.apache.mahout.common.distance
Tanimoto coefficient implementation.
TanimotoDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.TanimotoDistanceMeasure
 
TasteException - Exception in org.apache.mahout.cf.taste.common
An exception thrown when an error occurs inside the Taste engine.
TasteException() - Constructor for exception org.apache.mahout.cf.taste.common.TasteException
 
TasteException(String) - Constructor for exception org.apache.mahout.cf.taste.common.TasteException
 
TasteException(Throwable) - Constructor for exception org.apache.mahout.cf.taste.common.TasteException
 
TasteException(String, Throwable) - Constructor for exception org.apache.mahout.cf.taste.common.TasteException
 
TEMP_USER_ID - Static variable in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
 
TestClassifier - Class in org.apache.mahout.classifier.bayes
Test the Naive Bayes classifier with improved weighting

To run the twenty newsgroups example: refer http://cwiki.apache.org/MAHOUT/twentynewsgroups.html

testReferenceImplementation() - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyClusterer
Story: User can exercise the reference implementation to verify that the test datapoints are clustered in a reasonable manner.
ThresholdUserNeighborhood - Class in org.apache.mahout.cf.taste.impl.neighborhood
Computes a neigbhorhood consisting of all users whose similarity to the given user meets or exceeds a certain threshold.
ThresholdUserNeighborhood(double, UserSimilarity, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.neighborhood.ThresholdUserNeighborhood
 
ThresholdUserNeighborhood(double, UserSimilarity, DataModel, double) - Constructor for class org.apache.mahout.cf.taste.impl.neighborhood.ThresholdUserNeighborhood
 
times(DistributedRowMatrix) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
 
times(Vector) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
 
timesDelta(int, double) - Method in class org.apache.mahout.classifier.discriminative.LinearModel
Multiply the weight at index by delta.
timesSquared(Vector) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
 
TimesSquaredJob - Class in org.apache.mahout.math.hadoop
 
TimesSquaredJob.TimesMapper - Class in org.apache.mahout.math.hadoop
 
TimesSquaredJob.TimesMapper() - Constructor for class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesMapper
 
TimesSquaredJob.TimesSquaredMapper<T extends org.apache.hadoop.io.WritableComparable> - Class in org.apache.mahout.math.hadoop
 
TimesSquaredJob.TimesSquaredMapper() - Constructor for class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesSquaredMapper
 
TimesSquaredJob.VectorSummingReducer - Class in org.apache.mahout.math.hadoop
 
TimesSquaredJob.VectorSummingReducer() - Constructor for class org.apache.mahout.math.hadoop.TimesSquaredJob.VectorSummingReducer
 
TimingStatistics - Class in org.apache.mahout.common
 
TimingStatistics() - Constructor for class org.apache.mahout.common.TimingStatistics
Creates a new instance of CallStats
TimingStatistics(int, long, long, long, double) - Constructor for class org.apache.mahout.common.TimingStatistics
 
TimingStatistics.Call - Class in org.apache.mahout.common
 
toArray() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
 
toDataMap(FastByIDMap<PreferenceArray>) - Static method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
 
toDataMap(FastByIDMap<Collection<Preference>>, boolean) - Static method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
Swaps, in-place, Lists for arrays in Map values .
ToItemPrefsMapper - Class in org.apache.mahout.cf.taste.hadoop
Input
ToItemPrefsMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.ToItemPrefsMapper
 
toLongID(String) - Method in class org.apache.mahout.cf.taste.impl.model.AbstractIDMigrator
 
toLongID(String) - Method in interface org.apache.mahout.cf.taste.model.IDMigrator
 
topicSmoothing - Variable in class org.apache.mahout.clustering.lda.LDAState
 
TopItems - Class in org.apache.mahout.cf.taste.impl.recommender
A simple class that refactors the "find top N things" logic that is used in several places.
TopItems.Estimator<T> - Interface in org.apache.mahout.cf.taste.impl.recommender
 
TopKPatternsOutputConverter<A extends java.lang.Comparable<? super A>> - Class in org.apache.mahout.fpm.pfpgrowth.convertors
An output converter which converts the output patterns and collectes them in a FrequentPatternMaxHeap
TopKPatternsOutputConverter(OutputCollector<A, List<Pair<List<A>, Long>>>, Map<Integer, A>) - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.TopKPatternsOutputConverter
 
TopKStringPatterns - Class in org.apache.mahout.fpm.pfpgrowth.convertors.string
A class which collects Top K string patterns
TopKStringPatterns() - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.string.TopKStringPatterns
 
TopKStringPatterns(List<Pair<List<String>, Long>>) - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.string.TopKStringPatterns
 
toString() - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.Bigram.Frequency
 
toString() - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.Bigram
 
toString() - Method in class org.apache.mahout.cf.taste.hadoop.ItemItemWritable
 
toString() - Method in class org.apache.mahout.cf.taste.hadoop.RecommendedItemsWritable
 
toString() - Method in class org.apache.mahout.cf.taste.impl.common.Cache
 
toString() - Method in class org.apache.mahout.cf.taste.impl.common.CompactRunningAverage
 
toString() - Method in class org.apache.mahout.cf.taste.impl.common.CompactRunningAverageAndStdDev
 
toString() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
 
toString() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
 
toString() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
 
toString() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverage
 
toString() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev
 
toString() - Method in class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator
 
toString() - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
 
toString() - Method in class org.apache.mahout.cf.taste.impl.eval.AverageAbsoluteDifferenceRecommenderEvaluator
 
toString() - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl
 
toString() - Method in class org.apache.mahout.cf.taste.impl.eval.RMSRecommenderEvaluator
 
toString() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanPreference
 
toString() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
 
toString() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
 
toString() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
 
toString() - Method in class org.apache.mahout.cf.taste.impl.model.GenericPreference
 
toString() - Method in class org.apache.mahout.cf.taste.impl.neighborhood.NearestNUserNeighborhood
 
toString() - Method in class org.apache.mahout.cf.taste.impl.neighborhood.ThresholdUserNeighborhood
 
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
 
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.FarthestNeighborClusterSimilarity
 
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericBooleanPrefUserBasedRecommender
 
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
 
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericRecommendedItem
 
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
 
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemAverageRecommender
 
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemUserAverageRecommender
 
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.NearestNeighborClusterSimilarity
 
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
 
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.SimilarUser
 
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.MemoryDiffStorage
 
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.SlopeOneRecommender
 
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.SVDRecommender
 
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender
 
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender2
 
toString() - Method in class org.apache.mahout.cf.taste.impl.similarity.AveragingPreferenceInferrer
 
toString() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity
 
toString() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity
 
toString() - Method in class org.apache.mahout.cf.taste.impl.similarity.LogLikelihoodSimilarity
 
toString() - Method in class org.apache.mahout.cf.taste.impl.similarity.TanimotoCoefficientSimilarity
 
toString() - Method in class org.apache.mahout.cf.taste.impl.transforms.CaseAmplification
 
toString() - Method in class org.apache.mahout.cf.taste.impl.transforms.InverseUserFrequency
 
toString() - Method in class org.apache.mahout.cf.taste.impl.transforms.ZScore
 
toString() - Method in class org.apache.mahout.classifier.ClassifierResult
 
toString() - Method in class org.apache.mahout.classifier.discriminative.LinearModel
 
toString() - Method in class org.apache.mahout.classifier.ResultAnalyzer
 
toString() - Method in class org.apache.mahout.clustering.canopy.Canopy
 
toString() - Method in class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalModel
 
toString() - Method in class org.apache.mahout.clustering.dirichlet.models.L1Model
 
toString() - Method in class org.apache.mahout.clustering.dirichlet.models.NormalModel
 
toString() - Method in class org.apache.mahout.clustering.dirichlet.models.SampledNormalModel
 
toString() - Method in class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
 
toString() - Method in class org.apache.mahout.clustering.kmeans.Cluster
 
toString() - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopy
 
toString() - Method in class org.apache.mahout.common.IntegerTuple
 
toString() - Method in class org.apache.mahout.common.IntPairWritable.Frequency
 
toString() - Method in class org.apache.mahout.common.IntPairWritable
 
toString() - Method in class org.apache.mahout.common.iterator.ArrayIterator
 
toString() - Method in class org.apache.mahout.common.iterator.EmptyIterable
 
toString() - Method in class org.apache.mahout.common.iterator.EmptyIterator
 
toString() - Method in class org.apache.mahout.common.iterator.IteratorIterable
 
toString() - Method in class org.apache.mahout.common.LongPair
 
toString() - Method in class org.apache.mahout.common.Pair
 
toString() - Method in class org.apache.mahout.common.parameters.AbstractParameter
 
toString() - Method in class org.apache.mahout.common.Parameters
 
toString() - Method in class org.apache.mahout.common.StringTuple
 
toString(Object) - Static method in class org.apache.mahout.common.StringUtils
Converts the object to a one-line string representation
toString() - Method in class org.apache.mahout.common.TimingStatistics
 
toString() - Method in class org.apache.mahout.df.mapred.inmem.InMemInputFormat.InMemInputSplit
 
toString() - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
 
toString() - Method in class org.apache.mahout.df.mapreduce.MapredOutput
 
toString() - Method in class org.apache.mahout.df.node.Node
 
toString() - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.string.TopKStringPatterns
 
toString() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
 
toStringID(long) - Method in class org.apache.mahout.cf.taste.impl.model.AbstractJDBCIDMigrator
 
toStringID(long) - Method in class org.apache.mahout.cf.taste.impl.model.MemoryIDMigrator
 
toStringID(long) - Method in interface org.apache.mahout.cf.taste.model.IDMigrator
 
TOTAL_SUM - Static variable in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesConstants
 
totalCounts() - Method in class org.apache.mahout.clustering.dirichlet.DirichletState
 
ToUserVectorReducer - Class in org.apache.mahout.cf.taste.hadoop.item
Input
ToUserVectorReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.ToUserVectorReducer
 
train(int, int, int, double) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ExpectationMaximizationSVD
 
train(int) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.SVDRecommender
 
train(Vector, Matrix) - Method in class org.apache.mahout.classifier.discriminative.LinearTrainer
Initializes training.
TrainClassifier - Class in org.apache.mahout.classifier.bayes
Train the Naive Bayes classifier with improved weighting

To run the twenty newsgroups example: refer http://cwiki.apache.org/MAHOUT/twentynewsgroups.html

trainCNaiveBayes(String, String, BayesParameters) - Static method in class org.apache.mahout.classifier.bayes.TrainClassifier
 
TrainingException - Exception in org.apache.mahout.classifier.discriminative
This exception is thrown in case training fails.
TrainingException(String) - Constructor for exception org.apache.mahout.classifier.discriminative.TrainingException
Init with message string describing the cause of the exception.
trainNaiveBayes(String, String, BayesParameters) - Static method in class org.apache.mahout.classifier.bayes.TrainClassifier
 
TransactionIterator<AP> - Class in org.apache.mahout.fpm.pfpgrowth.convertors
Iterates over a Transaction and outputs the transaction integer id mapping and the support of the transaction
TransactionIterator(Iterator<Pair<List<AP>, Long>>, Map<AP, Integer>) - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.TransactionIterator
 
TransactionSortingMapper - Class in org.apache.mahout.fpm.pfpgrowth
maps each transaction to all unique items groups in the transaction.
TransactionSortingMapper() - Constructor for class org.apache.mahout.fpm.pfpgrowth.TransactionSortingMapper
 
TransactionSortingReducer - Class in org.apache.mahout.fpm.pfpgrowth
takes each group of transactions and runs Vanilla FPGrowth on it and outputs the the Top K frequent Patterns for each group.
TransactionSortingReducer() - Constructor for class org.apache.mahout.fpm.pfpgrowth.TransactionSortingReducer
 
TransactionTree - Class in org.apache.mahout.fpm.pfpgrowth
A compact representation of transactions modeled on the lines to FPTree This reduces plenty of space and speeds up Map/Reduce of PFPGrowth algorithm by reducing data size passed from the Mapper to the reducer where FPGrowth mining is done
TransactionTree() - Constructor for class org.apache.mahout.fpm.pfpgrowth.TransactionTree
 
TransactionTree(int) - Constructor for class org.apache.mahout.fpm.pfpgrowth.TransactionTree
 
TransactionTree(Integer[], Long) - Constructor for class org.apache.mahout.fpm.pfpgrowth.TransactionTree
 
TransactionTree(List<Pair<List<Integer>, Long>>) - Constructor for class org.apache.mahout.fpm.pfpgrowth.TransactionTree
 
TransactionTree.TransactionTreeIterator - Class in org.apache.mahout.fpm.pfpgrowth
Generates a List of transactions view of Transaction Tree by doing Depth First Traversal on the tree structure
TransactionTree.TransactionTreeIterator() - Constructor for class org.apache.mahout.fpm.pfpgrowth.TransactionTree.TransactionTreeIterator
 
transformSimilarity(long, long, double) - Method in class org.apache.mahout.cf.taste.impl.transforms.CaseAmplification
Transforms one similarity value.
transformSimilarity(long, long, double) - Method in interface org.apache.mahout.cf.taste.transforms.SimilarityTransform
 
transpose() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
 
TransposeJob - Class in org.apache.mahout.math.hadoop
TODO: rewrite to use helpful combiner.
TransposeJob() - Constructor for class org.apache.mahout.math.hadoop.TransposeJob
 
TransposeJob.TransposeMapper - Class in org.apache.mahout.math.hadoop
 
TransposeJob.TransposeMapper() - Constructor for class org.apache.mahout.math.hadoop.TransposeJob.TransposeMapper
 
TransposeJob.TransposeReducer - Class in org.apache.mahout.math.hadoop
 
TransposeJob.TransposeReducer() - Constructor for class org.apache.mahout.math.hadoop.TransposeJob.TransposeReducer
 
TreeBuilder - Interface in org.apache.mahout.df.builder
Abstract base class for TreeBuilders
TreeClusteringRecommender - Class in org.apache.mahout.cf.taste.impl.recommender
A Recommender that clusters users, then determines the clusters' top recommendations.
TreeClusteringRecommender(DataModel, ClusterSimilarity, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender
 
TreeClusteringRecommender(DataModel, ClusterSimilarity, int, double) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender
 
TreeClusteringRecommender(DataModel, ClusterSimilarity, double) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender
 
TreeClusteringRecommender(DataModel, ClusterSimilarity, double, double) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender
 
TreeClusteringRecommender2 - Class in org.apache.mahout.cf.taste.impl.recommender
A Recommender that clusters users, then determines the clusters' top recommendations.
TreeClusteringRecommender2(DataModel, ClusterSimilarity, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender2
 
TreeClusteringRecommender2(DataModel, ClusterSimilarity, double) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender2
 
TreeID - Class in org.apache.mahout.df.mapreduce.partial
Indicates both the tree and the data partition used to grow the tree
TreeID() - Constructor for class org.apache.mahout.df.mapreduce.partial.TreeID
 
TreeID(int, int) - Constructor for class org.apache.mahout.df.mapreduce.partial.TreeID
 
treeId() - Method in class org.apache.mahout.df.mapreduce.partial.TreeID
 
TupleWritable - Class in org.apache.mahout.cf.taste.hadoop.cooccurence
 
TupleWritable() - Constructor for class org.apache.mahout.cf.taste.hadoop.cooccurence.TupleWritable
 
TupleWritable(int) - Constructor for class org.apache.mahout.cf.taste.hadoop.cooccurence.TupleWritable
 
TupleWritable(Writable...) - Constructor for class org.apache.mahout.cf.taste.hadoop.cooccurence.TupleWritable
 
TupleWritable.Field - Class in org.apache.mahout.cf.taste.hadoop.cooccurence
 
TupleWritable.Field() - Constructor for class org.apache.mahout.cf.taste.hadoop.cooccurence.TupleWritable.Field
 
TupleWritable.Field(Writable) - Constructor for class org.apache.mahout.cf.taste.hadoop.cooccurence.TupleWritable.Field
 
type() - Method in class org.apache.mahout.common.parameters.AbstractParameter
 
type() - Method in interface org.apache.mahout.common.parameters.Parameter
 

U

UDistrib - Class in org.apache.mahout.df.tools
This tool is used to uniformly distribute the class of all the tuples of the dataset over a given number of partitions.
UncommonDistributions - Class in org.apache.mahout.clustering.dirichlet
 
unwrap(Class<T>) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.ConnectionPoolDataSource
 
update(double, Vector, LinearModel) - Method in class org.apache.mahout.classifier.discriminative.LinearTrainer
Implement this method to match your training strategy.
update(double, Vector, LinearModel) - Method in class org.apache.mahout.classifier.discriminative.PerceptronTrainer
Implement this method to match your training strategy.
update(double, Vector, LinearModel) - Method in class org.apache.mahout.classifier.discriminative.WinnowTrainer
Implement this method to match your training strategy.
update(Model<O>[]) - Method in class org.apache.mahout.clustering.dirichlet.DirichletState
Update the receiver with the new models
update(String) - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.ContextStatusUpdater
 
update(String) - Method in interface org.apache.mahout.fpm.pfpgrowth.convertors.StatusUpdater
 
updateCentroids(List<Canopy>) - Static method in class org.apache.mahout.clustering.canopy.CanopyClusterer
Iterate through the canopies, resetting their center to their centroids
updateItemPref(long, float, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.file.FileDiffStorage
 
updateItemPref(long, float, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc.AbstractJDBCDiffStorage
 
updateItemPref(long, float, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.MemoryDiffStorage
 
updateItemPref(long, float, boolean) - Method in interface org.apache.mahout.cf.taste.recommender.slopeone.DiffStorage
Updates internal data structures to reflect an update in a preference value for an item.
UserBasedRecommender - Interface in org.apache.mahout.cf.taste.recommender
Interface implemented by "user-based" recommenders.
UserIDsMapper - Class in org.apache.mahout.cf.taste.hadoop.pseudo
Extracts and emits all user IDs from the users file, or input file.
UserIDsMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.pseudo.UserIDsMapper
 
UserItemJoiner - Class in org.apache.mahout.cf.taste.hadoop.cooccurence
 
UserItemJoiner() - Constructor for class org.apache.mahout.cf.taste.hadoop.cooccurence.UserItemJoiner
 
UserItemJoiner.JoinItemMapper - Class in org.apache.mahout.cf.taste.hadoop.cooccurence
 
UserItemJoiner.JoinItemMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.cooccurence.UserItemJoiner.JoinItemMapper
 
UserItemJoiner.JoinItemUserReducer - Class in org.apache.mahout.cf.taste.hadoop.cooccurence
 
UserItemJoiner.JoinItemUserReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.cooccurence.UserItemJoiner.JoinItemUserReducer
 
UserItemJoiner.JoinUserMapper - Class in org.apache.mahout.cf.taste.hadoop.cooccurence
 
UserItemJoiner.JoinUserMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.cooccurence.UserItemJoiner.JoinUserMapper
 
UserItemRecommender - Class in org.apache.mahout.cf.taste.hadoop.cooccurence
 
UserItemRecommender() - Constructor for class org.apache.mahout.cf.taste.hadoop.cooccurence.UserItemRecommender
 
UserItemRecommender.RecommenderMapper - Class in org.apache.mahout.cf.taste.hadoop.cooccurence
 
UserItemRecommender.RecommenderMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.cooccurence.UserItemRecommender.RecommenderMapper
 
UserItemRecommender.RecommenderReducer - Class in org.apache.mahout.cf.taste.hadoop.cooccurence
 
UserItemRecommender.RecommenderReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.cooccurence.UserItemRecommender.RecommenderReducer
 
UserNeighborhood - Interface in org.apache.mahout.cf.taste.neighborhood
Implementations of this interface compute a "neighborhood" of users like a given user.
userSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingUserSimilarity
 
userSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity
 
userSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.LogLikelihoodSimilarity
 
userSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.SpearmanCorrelationSimilarity
 
userSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.TanimotoCoefficientSimilarity
 
UserSimilarity - Interface in org.apache.mahout.cf.taste.similarity
Implementations of this interface define a notion of similarity between two users.
userSimilarity(long, long) - Method in interface org.apache.mahout.cf.taste.similarity.UserSimilarity
Returns the degree of similarity, of two users, based on the their preferences.
UserVectorToCooccurrenceMapper - Class in org.apache.mahout.cf.taste.hadoop.item
 
UserVectorToCooccurrenceMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.UserVectorToCooccurrenceMapper
 
UserVectorToCooccurrenceReducer - Class in org.apache.mahout.cf.taste.hadoop.item
 
UserVectorToCooccurrenceReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.UserVectorToCooccurrenceReducer
 
useTestSeed() - Static method in class org.apache.mahout.common.RandomUtils
 

V

valueOf(String) - Static method in enum org.apache.mahout.cf.taste.common.Weighting
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.mahout.cf.taste.hadoop.pseudo.ReducerMetrics
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.mahout.df.data.Dataset.Attribute
Returns the enum constant of this type with the specified name.
valueOf(int, String) - Method in class org.apache.mahout.df.data.Dataset
Converts a token to its corresponding int code for a given attribute
valueOf(String) - Static method in enum org.apache.mahout.df.node.Node.Type
Returns the enum constant of this type with the specified name.
values() - Static method in enum org.apache.mahout.cf.taste.common.Weighting
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.mahout.cf.taste.hadoop.pseudo.ReducerMetrics
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
 
values(int) - Method in class org.apache.mahout.df.data.Data
finds all distinct values of a given attribute
values() - Static method in enum org.apache.mahout.df.data.Dataset.Attribute
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.mahout.df.node.Node.Type
Returns an array containing the constants of this enum type, in the order they are declared.
VectorModelDistribution - Class in org.apache.mahout.clustering.dirichlet.models
 
VectorModelDistribution() - Constructor for class org.apache.mahout.clustering.dirichlet.models.VectorModelDistribution
 
VectorModelDistribution(VectorWritable) - Constructor for class org.apache.mahout.clustering.dirichlet.models.VectorModelDistribution
 
VectorWritable - Class in org.apache.mahout.math
 
VectorWritable() - Constructor for class org.apache.mahout.math.VectorWritable
 
VectorWritable(Vector) - Constructor for class org.apache.mahout.math.VectorWritable
 
verifyEigens() - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob
 

W

WEIGHT - Static variable in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesConstants
 
WeightedDistanceMeasure - Class in org.apache.mahout.common.distance
Abstract implementation of DistanceMeasure with support for weights.
WeightedDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.WeightedDistanceMeasure
 
WeightedEuclideanDistanceMeasure - Class in org.apache.mahout.common.distance
This class implements a Euclidean distance metric by summing the square root of the squared differences between each coordinate, optionally adding weights.
WeightedEuclideanDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.WeightedEuclideanDistanceMeasure
 
WeightedManhattanDistanceMeasure - Class in org.apache.mahout.common.distance
This class implements a "Manhattan distance" metric by summing the absolute values of the difference between each coordinate, optionally with weights.
WeightedManhattanDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.WeightedManhattanDistanceMeasure
 
WeightedRunningAverage - Class in org.apache.mahout.cf.taste.impl.common
 
WeightedRunningAverage() - Constructor for class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
 
Weighting - Enum in org.apache.mahout.cf.taste.common
A simple enum which gives symbolic names to the ideas of "weighted" and "unweighted", to make various API calls which take a weighting parameter more readable.
WinnowTrainer - Class in org.apache.mahout.classifier.discriminative
This class implements training according to the winnow update algorithm.
WinnowTrainer(int, double, double, double, double) - Constructor for class org.apache.mahout.classifier.discriminative.WinnowTrainer
 
WinnowTrainer(int, double) - Constructor for class org.apache.mahout.classifier.discriminative.WinnowTrainer
 
WinnowTrainer(int) - Constructor for class org.apache.mahout.classifier.discriminative.WinnowTrainer
Initializes with dimension and promotionStep of 2.
write(DataOutput) - Method in class org.apache.mahout.cf.taste.hadoop.cooccurence.Bigram
Write the two integers encoded using variable length encoding
write(DataOutput) - Method in class org.apache.mahout.cf.taste.hadoop.ItemItemWritable
 
write(DataOutput) - Method in class org.apache.mahout.cf.taste.hadoop.ItemPrefWritable
 
write(DataOutput) - Method in class org.apache.mahout.cf.taste.hadoop.RecommendedItemsWritable
 
write(DataOutput) - Method in class org.apache.mahout.clustering.canopy.Canopy
 
write(DataOutput) - Method in class org.apache.mahout.clustering.ClusterBase
Simply writes out the id, and that's it!
write(DataOutput) - Method in class org.apache.mahout.clustering.dirichlet.DirichletCluster
 
write(DataOutput) - Method in class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalModel
 
write(DataOutput) - Method in class org.apache.mahout.clustering.dirichlet.models.L1Model
 
write(DataOutput) - Method in class org.apache.mahout.clustering.dirichlet.models.NormalModel
 
write(DataOutput) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansInfo
 
write(DataOutput) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansOutput
 
write(DataOutput) - Method in class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
 
write(DataOutput) - Method in class org.apache.mahout.clustering.kmeans.Cluster
 
write(DataOutput) - Method in class org.apache.mahout.clustering.kmeans.KMeansInfo
 
write(DataOutput) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopy
 
write(DataOutput) - Method in class org.apache.mahout.common.IntegerTuple
 
write(DataOutput) - Method in class org.apache.mahout.common.IntPairWritable
 
write(DataOutput) - Method in class org.apache.mahout.common.StringTuple
 
write(DataOutput) - Method in class org.apache.mahout.df.data.Dataset
 
write(DataOutput) - Method in class org.apache.mahout.df.mapred.inmem.InMemInputFormat.InMemInputSplit
 
write(DataOutput) - Method in class org.apache.mahout.df.mapred.partial.Step0Job.Step0Output
 
write(DataOutput) - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
 
write(DataOutput) - Method in class org.apache.mahout.df.mapreduce.MapredOutput
 
write(DataOutput) - Method in class org.apache.mahout.df.mapreduce.partial.Step0Job.Step0Output
 
write(DataOutput) - Method in class org.apache.mahout.df.node.Node
 
write(DataOutput) - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.string.TopKStringPatterns
 
write(DataOutput) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
 
write(DataOutput) - Method in class org.apache.mahout.math.DenseMatrixWritable
 
write(DataOutput) - Method in class org.apache.mahout.math.DenseVectorWritable
 
write(DataOutput) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
 
write(DataOutput) - Method in class org.apache.mahout.math.MatrixWritable
 
write(DataOutput) - Method in class org.apache.mahout.math.MultiLabelVectorWritable
 
write(DataOutput, SequentialAccessSparseVector, int[]) - Static method in class org.apache.mahout.math.MultiLabelVectorWritable
 
write(DataOutput) - Method in class org.apache.mahout.math.RandomAccessSparseVectorWritable
 
write(DataOutput) - Method in class org.apache.mahout.math.SequentialAccessSparseVectorWritable
 
write(DataOutput) - Method in class org.apache.mahout.math.VectorWritable
 
writeArray(DataOutput, Node[]) - Static method in class org.apache.mahout.df.DFUtils
Writes an Node[] into a DataOutput
writeArray(DataOutput, double[]) - Static method in class org.apache.mahout.df.DFUtils
Writes a double[] into a DataOutput
writeArray(DataOutput, int[]) - Static method in class org.apache.mahout.df.DFUtils
Writes an int[] into a DataOutput
writeLabelBindings(DataOutput, Map<String, Integer>, Map<String, Integer>) - Static method in class org.apache.mahout.math.MatrixWritable
 
writeMatrix(DataOutput, Matrix) - Static method in class org.apache.mahout.math.MatrixWritable
Writes a typed Matrix instance to the output stream
writeModel(DataOutput, Model<?>) - Static method in class org.apache.mahout.clustering.dirichlet.DirichletCluster
Writes a typed Model instance to the output stream
writeNode(DataOutput) - Method in class org.apache.mahout.df.node.CategoricalNode
 
writeNode(DataOutput) - Method in class org.apache.mahout.df.node.Leaf
 
writeNode(DataOutput) - Method in class org.apache.mahout.df.node.Node
 
writeNode(DataOutput) - Method in class org.apache.mahout.df.node.NumericalNode
 
writeVector(DataOutput, Vector) - Static method in class org.apache.mahout.math.VectorWritable
Write the vector to the output

Z

ZScore - Class in org.apache.mahout.cf.taste.impl.transforms
Normalizes preference values for a user by converting them to "z-scores".
ZScore(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.transforms.ZScore
 

A B C D E F G H I J K L M N O P Q R S T U V W Z

Copyright © 2008-2010 The Apache Software Foundation. All Rights Reserved.