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

A

accept(Path) - Method in class org.apache.mahout.clustering.display.ClustersFilter
 
add(CDFitness) - Method in class org.apache.mahout.ga.watchmaker.cd.CDFitness
 
apply(List<CDRule>, Random) - Method in class org.apache.mahout.ga.watchmaker.cd.CDMutation
 
areGenesEqual(CDRule, CDRule, int) - Static method in class org.apache.mahout.ga.watchmaker.cd.CDRule
Compares a given gene between two rules
areGenesEqual(int, int) - Method in class org.apache.mahout.ga.watchmaker.cd.CDRule
Compares two genes from this Rule
attributeIndex(int) - Static method in class org.apache.mahout.ga.watchmaker.cd.CDRule
Makes sure that the label is not handled by any condition.
ATTRIBUTES - Static variable in class org.apache.mahout.ga.watchmaker.cd.tool.ToolMapper
 

B

BookCrossingBooleanRecommender - Class in org.apache.mahout.cf.taste.example.bookcrossing
A simple Recommender implemented for the Book Crossing demo.
BookCrossingBooleanRecommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingBooleanRecommender
 
BookCrossingBooleanRecommenderEvaluatorRunner - Class in org.apache.mahout.cf.taste.example.bookcrossing
 
BookCrossingDataModel - Class in org.apache.mahout.cf.taste.example.bookcrossing
See download for data needed by this class.
BookCrossingDataModel(boolean) - Constructor for class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingDataModel
 
BookCrossingDataModel(File, boolean) - Constructor for class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingDataModel
 
BookCrossingRecommender - Class in org.apache.mahout.cf.taste.example.bookcrossing
A simple Recommender implemented for the Book Crossing demo.
BookCrossingRecommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingRecommender
 
BookCrossingRecommenderEvaluatorRunner - Class in org.apache.mahout.cf.taste.example.bookcrossing
 
BreimanExample - Class in org.apache.mahout.df
Test procedure as described in Breiman's paper.
Leo Breiman: Random Forests.
BreimanExample() - Constructor for class org.apache.mahout.df.BreimanExample
 
BruteForceTravellingSalesman - Class in org.apache.mahout.ga.watchmaker.travellingsalesman
Naive brute-force solution to the travelling salesman problem.
BruteForceTravellingSalesman(DistanceLookup) - Constructor for class org.apache.mahout.ga.watchmaker.travellingsalesman.BruteForceTravellingSalesman
 
BuildForest - Class in org.apache.mahout.df.mapred
Tool to builds a Random Forest using any given dataset (in UCI format).
BuildForest() - Constructor for class org.apache.mahout.df.mapred.BuildForest
 
BuildForest - Class in org.apache.mahout.df.mapreduce
Tool to builds a Random Forest using any given dataset (in UCI format).
BuildForest() - Constructor for class org.apache.mahout.df.mapreduce.BuildForest
 
buildModel() - Method in class org.apache.mahout.cf.taste.example.jester.JesterDataModel
 

C

calculateShortestRoute(Collection<String>, ProgressListener) - Method in class org.apache.mahout.ga.watchmaker.travellingsalesman.BruteForceTravellingSalesman
To reduce the search space we will only consider routes that start and end at one city (whichever is first in the collection).
calculateShortestRoute(Collection<String>, ProgressListener) - Method in class org.apache.mahout.ga.watchmaker.travellingsalesman.EvolutionaryTravellingSalesman
Calculates the shortest route using a generational evolutionary algorithm with a single ordered mutation operator and truncation selection.
calculateShortestRoute(Collection<String>, ProgressListener) - Method in interface org.apache.mahout.ga.watchmaker.travellingsalesman.TravellingSalesmanStrategy
Calculates the shortest round trip distance that visits each of the specified cities once and returns to the starting point.
CDCrossover - Class in org.apache.mahout.ga.watchmaker.cd
Crossover operator.
CDCrossover(int) - Constructor for class org.apache.mahout.ga.watchmaker.cd.CDCrossover
 
CDCrossover(int, Probability) - Constructor for class org.apache.mahout.ga.watchmaker.cd.CDCrossover
 
CDFactory - Class in org.apache.mahout.ga.watchmaker.cd
Factory used by Watchmaker to generate the initial population.
CDFactory(double) - Constructor for class org.apache.mahout.ga.watchmaker.cd.CDFactory
 
CDFitness - Class in org.apache.mahout.ga.watchmaker.cd
Fitness of the class discovery problem.
CDFitness() - Constructor for class org.apache.mahout.ga.watchmaker.cd.CDFitness
 
CDFitness(CDFitness) - Constructor for class org.apache.mahout.ga.watchmaker.cd.CDFitness
 
CDFitness(int, int, int, int) - Constructor for class org.apache.mahout.ga.watchmaker.cd.CDFitness
 
CDFitnessEvaluator - Class in org.apache.mahout.ga.watchmaker.cd
Class Discovery Fitness Evaluator.
CDFitnessEvaluator(String, int, DatasetSplit) - Constructor for class org.apache.mahout.ga.watchmaker.cd.CDFitnessEvaluator
 
CDGA - Class in org.apache.mahout.ga.watchmaker.cd
Class Discovery Genetic Algorithm main class.
CDInfosTool - Class in org.apache.mahout.ga.watchmaker.cd.tool
Gathers additional information about a given dataset.
CDMahoutEvaluator - Class in org.apache.mahout.ga.watchmaker.cd.hadoop
Mahout distributed evaluator.
CDMapper - Class in org.apache.mahout.ga.watchmaker.cd.hadoop
Hadoop Mapper.
CDMapper() - Constructor for class org.apache.mahout.ga.watchmaker.cd.hadoop.CDMapper
 
CDMutation - Class in org.apache.mahout.ga.watchmaker.cd
Mutation operator.
CDMutation(double, double, int) - Constructor for class org.apache.mahout.ga.watchmaker.cd.CDMutation
 
CDReducer - Class in org.apache.mahout.ga.watchmaker.cd.hadoop
Hadoop Reducer, combines many evaluations (CDFitness) into a single one.
CDReducer() - Constructor for class org.apache.mahout.ga.watchmaker.cd.hadoop.CDReducer
 
CDRule - Class in org.apache.mahout.ga.watchmaker.cd
Binary classification rule of the form:
CDRule(double) - Constructor for class org.apache.mahout.ga.watchmaker.cd.CDRule
 
CDRule(double, Random) - Constructor for class org.apache.mahout.ga.watchmaker.cd.CDRule
Random rule.
CDRule(CDRule) - Constructor for class org.apache.mahout.ga.watchmaker.cd.CDRule
Copy Constructor
CLASSDISCOVERY_DATASET - Static variable in class org.apache.mahout.ga.watchmaker.cd.hadoop.CDMapper
 
CLASSDISCOVERY_RULES - Static variable in class org.apache.mahout.ga.watchmaker.cd.hadoop.CDMapper
 
CLASSDISCOVERY_TARGET_LABEL - Static variable in class org.apache.mahout.ga.watchmaker.cd.hadoop.CDMapper
 
classify(DataLine) - Method in class org.apache.mahout.ga.watchmaker.cd.CDRule
if all the active conditions are met returns 1, else returns 0.
classify(DataLine) - Method in interface org.apache.mahout.ga.watchmaker.cd.Rule
Classifies the given dataLine
close() - Method in class org.apache.mahout.cf.taste.example.kddcup.DataFileIterator
 
close() - Method in class org.apache.mahout.classifier.bayes.XmlInputFormat.XmlRecordReader
 
close() - Method in class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit.RndLineRecordReader
 
CLUSTERS - Static variable in class org.apache.mahout.clustering.display.DisplayClustering
 
ClustersFilter - Class in org.apache.mahout.clustering.display
 
ClustersFilter() - Constructor for class org.apache.mahout.clustering.display.ClustersFilter
 
computeFinalEvaluation() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.Track1RecommenderEvaluator
 
computeNext() - Method in class org.apache.mahout.cf.taste.example.kddcup.DataFileIterator
 
convert(double, long, long) - Static method in class org.apache.mahout.cf.taste.example.kddcup.track1.EstimateConverter
 
convertToItemFeatures(String, LastfmDataConverter.Lastfm) - Static method in class org.apache.mahout.clustering.minhash.LastfmDataConverter
Reads the LastFm dataset and constructs a Map of (item, features).
countLines(FileSystem, Path, Charset) - Static method in class org.apache.mahout.classifier.bayes.SplitBayesInput
Count the lines in the file specified as returned by BufferedReader.readLine()
createNominalDescription(Collection<String>) - Static method in class org.apache.mahout.ga.watchmaker.cd.tool.DescriptionUtils
Create a nominal description from the possible values.
createNumericalDescription(double, double) - Static method in class org.apache.mahout.ga.watchmaker.cd.tool.DescriptionUtils
Create a numerical attribute description.
createRecordReader(InputSplit, TaskAttemptContext) - Method in class org.apache.mahout.classifier.bayes.XmlInputFormat
 
createRecordReader(InputSplit, TaskAttemptContext) - Method in class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit.DatasetTextInputFormat
 
createRegression() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
Creates a logistic regression trainer using the parameters collected here.

D

DataFileIterable - Class in org.apache.mahout.cf.taste.example.kddcup
 
DataFileIterable(File) - Constructor for class org.apache.mahout.cf.taste.example.kddcup.DataFileIterable
 
DataFileIterator - Class in org.apache.mahout.cf.taste.example.kddcup
An Iterator which iterates over any of the KDD Cup's rating files.
DataFileIterator(File) - Constructor for class org.apache.mahout.cf.taste.example.kddcup.DataFileIterator
 
DataLine - Class in org.apache.mahout.ga.watchmaker.cd
Represents one line of a Dataset.
DataLine() - Constructor for class org.apache.mahout.ga.watchmaker.cd.DataLine
 
DataLine(String) - Constructor for class org.apache.mahout.ga.watchmaker.cd.DataLine
 
DataModelFactorizablePreferences - Class in org.apache.mahout.cf.taste.example.kddcup.track1.svd
can be used to drop DataModels into ParallelArraysSGDFactorizer
DataModelFactorizablePreferences(DataModel) - Constructor for class org.apache.mahout.cf.taste.example.kddcup.track1.svd.DataModelFactorizablePreferences
 
DataSet - Class in org.apache.mahout.ga.watchmaker.cd
Contains information about the dataset and its attributes.
DatasetSplit - Class in org.apache.mahout.ga.watchmaker.cd.hadoop
Separate the input data into a training and testing set.
DatasetSplit(long, double) - Constructor for class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit
 
DatasetSplit(double) - Constructor for class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit
 
DatasetSplit(Configuration) - Constructor for class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit
 
DatasetSplit.DatasetTextInputFormat - Class in org.apache.mahout.ga.watchmaker.cd.hadoop
TextInputFormat that uses a DatasetSplit.RndLineRecordReader as a RecordReader
DatasetSplit.DatasetTextInputFormat() - Constructor for class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit.DatasetTextInputFormat
 
DatasetSplit.RndLineRecordReader - Class in org.apache.mahout.ga.watchmaker.cd.hadoop
a RecordReader that skips some lines from the input.
DatasetSplit.RndLineRecordReader(RecordReader<LongWritable, Text>, Configuration) - Constructor for class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit.RndLineRecordReader
 
DEFAULT_LEARNING_RATE - Static variable in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.ParallelArraysSGDFactorizer
 
DEFAULT_PREVENT_OVERFITTING - Static variable in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.ParallelArraysSGDFactorizer
 
DEFAULT_RANDOM_NOISE - Static variable in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.ParallelArraysSGDFactorizer
 
DeliciousTagsExample - Class in org.apache.mahout.fpm.pfpgrowth
 
DescriptionUtils - Class in org.apache.mahout.ga.watchmaker.cd.tool
Utility functions to handle Attribute's description strings.
Descriptors - Class in org.apache.mahout.ga.watchmaker.cd.tool
Used as a configuration Parameters for the mapper-combiner-reducer
CDTOOL.ATTRIBUTES : char[] description of the attributes.
for each attribute, takes one of this values:
N : numerical attribute C : categorical (nominal) attribute L : label (nominal) attribute I : ignored attribute
Descriptors(char[]) - Constructor for class org.apache.mahout.ga.watchmaker.cd.tool.Descriptors
 
DisplayCanopy - Class in org.apache.mahout.clustering.display
Java desktop graphics class that runs canopy clustering and displays the results.
DisplayClustering - Class in org.apache.mahout.clustering.display
 
DisplayClustering() - Constructor for class org.apache.mahout.clustering.display.DisplayClustering
 
DisplayDirichlet - Class in org.apache.mahout.clustering.display
 
DisplayDirichlet() - Constructor for class org.apache.mahout.clustering.display.DisplayDirichlet
 
DisplayFuzzyKMeans - Class in org.apache.mahout.clustering.display
 
DisplayKMeans - Class in org.apache.mahout.clustering.display
 
DisplayMeanShift - Class in org.apache.mahout.clustering.display
 
DisplaySpectralKMeans - Class in org.apache.mahout.clustering.display
 
DistanceLookup - Interface in org.apache.mahout.ga.watchmaker.travellingsalesman
Strategy interface for providing distances between cities in the Travelling Salesman problem.
DS - Static variable in class org.apache.mahout.clustering.display.DisplayClustering
 

E

END_TAG_KEY - Static variable in class org.apache.mahout.classifier.bayes.XmlInputFormat
 
equals(Object) - Method in class org.apache.mahout.ga.watchmaker.cd.CDFitness
 
equals(Object) - Method in class org.apache.mahout.ga.watchmaker.cd.CDRule
 
EstimateConverter - Class in org.apache.mahout.cf.taste.example.kddcup.track1
 
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingBooleanRecommender
 
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingRecommender
 
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.grouplens.GroupLensRecommender
 
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.jester.JesterRecommender
 
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.Track1Recommender
 
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.kddcup.track2.Track2Recommender
 
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixRecommender
 
EuropeanDistanceLookup - Class in org.apache.mahout.ga.watchmaker.travellingsalesman
This class contains data about cities in Europe and the distances between them.
EuropeanDistanceLookup() - Constructor for class org.apache.mahout.ga.watchmaker.travellingsalesman.EuropeanDistanceLookup
 
evaluate(RecommenderBuilder, DataModelBuilder, DataModel, double, double) - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.Track1RecommenderEvaluator
 
evaluate(List<? extends Rule>, List<Double>) - Method in class org.apache.mahout.ga.watchmaker.cd.CDFitnessEvaluator
 
evaluate(List<? extends Rule>, int, Path, Path, Collection<CDFitness>, DatasetSplit) - Static method in class org.apache.mahout.ga.watchmaker.cd.hadoop.CDMahoutEvaluator
Uses Mahout to evaluate the classification rules using the given evaluator.
evaluate(Rule, int, Path, Path, DatasetSplit) - Static method in class org.apache.mahout.ga.watchmaker.cd.hadoop.CDMahoutEvaluator
Evaluate a single rule.
evaluate(List<? extends Rule>, int, Path, Path, Collection<CDFitness>) - Static method in class org.apache.mahout.ga.watchmaker.cd.hadoop.CDMahoutEvaluator
Use all the dataset for training.
evaluate(int, int, int) - Static method in class org.apache.mahout.ga.watchmaker.cd.hadoop.CDMapper
Evaluate a given prediction.
EvolutionaryTravellingSalesman - Class in org.apache.mahout.ga.watchmaker.travellingsalesman
Evolutionary algorithm for finding (approximate) solutions to the travelling salesman problem.
EvolutionaryTravellingSalesman(DistanceLookup, SelectionStrategy<? super List<String>>, int, int, int, boolean, boolean, boolean) - Constructor for class org.apache.mahout.ga.watchmaker.travellingsalesman.EvolutionaryTravellingSalesman
Creates an evolutionary Travelling Salesman solver with the specified configuration.
extractNominalValues(String, Collection<String>) - Static method in class org.apache.mahout.ga.watchmaker.cd.tool.DescriptionUtils
Extract all available values from the description.
extractNumericalRange(String) - Static method in class org.apache.mahout.ga.watchmaker.cd.tool.DescriptionUtils
 

F

FactorizablePreferences - Interface in org.apache.mahout.cf.taste.example.kddcup.track1.svd
models the necessary input for ParallelArraysSGDFactorizer
factorize() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.ParallelArraysSGDFactorizer
 
FileInfoParser - Class in org.apache.mahout.ga.watchmaker.cd
Initializes a DataSet using a special format file.
The file contains for each attribute one of the following:
IGNORED
if the attribute is ignored LABEL, val1, val2, ...
if the attribute is the label, and its possible values CATEGORICAL, val1, val2, ...
if the attribute is nominal, and its possible values NUMERICAL, min, max
if the attribute is numerical, and its min and max values

G

gatherInfos(Descriptors, Path, Path, Collection<String>) - Static method in class org.apache.mahout.ga.watchmaker.cd.tool.CDInfosTool
Uses Mahout to gather the information about a dataset.
generate2dSamples() - Static method in class org.apache.mahout.clustering.display.DisplayClustering
 
generate2dSamples(int, double, double, double, double) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
Generate random samples and add them to the sampleData
generateRandomCandidate(Random) - Method in class org.apache.mahout.ga.watchmaker.cd.CDFactory
 
generateResults(ModelDistribution<VectorWritable>, int, int, double, int, int) - Static method in class org.apache.mahout.clustering.display.DisplayDirichlet
 
generateSamples() - Static method in class org.apache.mahout.clustering.display.DisplayClustering
 
generateSamples(int, double, double, double) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
Generate random samples and add them to the sampleData
get() - Method in class org.apache.mahout.ga.watchmaker.cd.CDFitness
Calculates the fitness corresponding to this evaluation.
getAttribute(int) - Method in class org.apache.mahout.ga.watchmaker.cd.DataLine
 
getCallback() - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
 
getChars() - Method in class org.apache.mahout.ga.watchmaker.cd.tool.Descriptors
 
getCharset() - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
 
getCsvRecordFactory() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
Returns a CsvRecordFactory compatible with this logistic model.
getCurrentKey() - Method in class org.apache.mahout.classifier.bayes.XmlInputFormat.XmlRecordReader
 
getCurrentKey() - Method in class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit.RndLineRecordReader
 
getCurrentValue() - Method in class org.apache.mahout.classifier.bayes.XmlInputFormat.XmlRecordReader
 
getCurrentValue() - Method in class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit.RndLineRecordReader
 
getDataFileDirectory() - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
 
getDataModel() - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingBooleanRecommender
 
getDataModel() - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingRecommender
 
getDataModel() - Method in class org.apache.mahout.cf.taste.example.grouplens.GroupLensRecommender
 
getDataModel() - Method in class org.apache.mahout.cf.taste.example.jester.JesterRecommender
 
getDataModel() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.Track1Recommender
 
getDataModel() - Method in class org.apache.mahout.cf.taste.example.kddcup.track2.Track2Recommender
 
getDataModel() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixRecommender
 
getDataSet() - Static method in class org.apache.mahout.ga.watchmaker.cd.DataSet
Singleton DataSet
getDescription() - Method in class org.apache.mahout.ga.watchmaker.travellingsalesman.BruteForceTravellingSalesman
 
getDescription() - Method in class org.apache.mahout.ga.watchmaker.travellingsalesman.EvolutionaryTravellingSalesman
 
getDescription() - Method in interface org.apache.mahout.ga.watchmaker.travellingsalesman.TravellingSalesmanStrategy
 
getDistance(String, String) - Method in interface org.apache.mahout.ga.watchmaker.travellingsalesman.DistanceLookup
Looks-up the distance between two cities.
getDistance(String, String) - Method in class org.apache.mahout.ga.watchmaker.travellingsalesman.EuropeanDistanceLookup
 
getFitness(List<String>, List<? extends List<String>>) - Method in class org.apache.mahout.ga.watchmaker.travellingsalesman.RouteEvaluator
Calculates the length of an evolved route.
getFn() - Method in class org.apache.mahout.ga.watchmaker.cd.CDFitness
 
getFp() - Method in class org.apache.mahout.ga.watchmaker.cd.CDFitness
 
getIgnoredAttributes() - Method in class org.apache.mahout.ga.watchmaker.cd.DataSet
 
getInfoFile(FileSystem, Path) - Static method in class org.apache.mahout.ga.watchmaker.cd.FileInfoParser
Prepares the path for the info file corresponding to the input path.
getInputDirectory() - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
 
getItemIDs() - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
 
getItemIDs() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.DataModelFactorizablePreferences
 
getItemIDs() - Method in interface org.apache.mahout.cf.taste.example.kddcup.track1.svd.FactorizablePreferences
 
getItemIDs() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.KDDCupFactorizablePreferences
 
getItemIDs() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
 
getItemIDs() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
 
getItemIDsFromUser(long) - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
 
getItemIDsFromUser(long) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
 
getItemIDsFromUser(long) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
 
getKnownCities() - Method in interface org.apache.mahout.ga.watchmaker.travellingsalesman.DistanceLookup
 
getKnownCities() - Method in class org.apache.mahout.ga.watchmaker.travellingsalesman.EuropeanDistanceLookup
 
getLabel() - Method in class org.apache.mahout.ga.watchmaker.cd.DataLine
 
getLabelIndex() - Method in class org.apache.mahout.ga.watchmaker.cd.DataSet
 
getLambda() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
 
getLearningRate() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
 
getMax(int) - Method in class org.apache.mahout.ga.watchmaker.cd.DataSet
Maximum possible value for an attribute
getMaxPreference() - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
 
getMaxPreference() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.DataModelFactorizablePreferences
 
getMaxPreference() - Method in interface org.apache.mahout.cf.taste.example.kddcup.track1.svd.FactorizablePreferences
 
getMaxPreference() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.KDDCupFactorizablePreferences
 
getMaxPreference() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
 
getMaxPreference() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
 
getMaxTargetCategories() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
 
getMin(int) - Method in class org.apache.mahout.ga.watchmaker.cd.DataSet
Minimum possible value for an attribute
getMinPreference() - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
 
getMinPreference() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.DataModelFactorizablePreferences
 
getMinPreference() - Method in interface org.apache.mahout.cf.taste.example.kddcup.track1.svd.FactorizablePreferences
 
getMinPreference() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.KDDCupFactorizablePreferences
 
getMinPreference() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
 
getMinPreference() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
 
getModel() - Static method in class org.apache.mahout.classifier.sgd.TrainLogistic
 
getNbAttributes() - Method in class org.apache.mahout.ga.watchmaker.cd.DataSet
 
getNbConditions() - Method in class org.apache.mahout.ga.watchmaker.cd.CDRule
 
getNbValues(int) - Method in class org.apache.mahout.ga.watchmaker.cd.DataSet
Number of values for a nominal attribute
getNumFeatures() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
 
getNumItems() - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
 
getNumItems() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
 
getNumItems() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
 
getNumUsers() - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
 
getNumUsers() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
 
getNumUsers() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
 
getNumUsersWithPreferenceFor(long...) - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
 
getNumUsersWithPreferenceFor(long...) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
 
getNumUsersWithPreferenceFor(long...) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
 
getO(int) - Method in class org.apache.mahout.ga.watchmaker.cd.CDRule
operator
getParameters() - Static method in class org.apache.mahout.classifier.sgd.TrainLogistic
 
getPreferences() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.DataModelFactorizablePreferences
 
getPreferences() - Method in interface org.apache.mahout.cf.taste.example.kddcup.track1.svd.FactorizablePreferences
 
getPreferences() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.KDDCupFactorizablePreferences
 
getPreferencesForItem(long) - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
 
getPreferencesForItem(long) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
 
getPreferencesForItem(long) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
 
getPreferencesFromUser(long) - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
 
getPreferencesFromUser(long) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
 
getPreferencesFromUser(long) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
 
getPreferenceTime(long, long) - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
 
getPreferenceTime(long, long) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
 
getPreferenceTime(long, long) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
 
getPreferenceValue(long, long) - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
 
getPreferenceValue(long, long) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
 
getPreferenceValue(long, long) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
 
getProgress() - Method in class org.apache.mahout.classifier.bayes.XmlInputFormat.XmlRecordReader
 
getProgress() - Method in class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit.RndLineRecordReader
 
getRatings(String[]) - Static method in class org.apache.mahout.cf.taste.example.TasteOptionParser
Parse the given command line arguments.
getSeed() - Method in class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit
 
getSplitLocation() - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
 
getTargetVariable() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
 
getTestFile(File) - Static method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
 
getTestOutputDirectory() - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
 
getTestRandomSelectionPct() - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
 
getTestRandomSelectionSize() - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
 
getTestSplitPct() - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
 
getTestSplitSize() - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
 
getThreshold() - Method in class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit
 
getTn() - Method in class org.apache.mahout.ga.watchmaker.cd.CDFitness
 
getTp() - Method in class org.apache.mahout.ga.watchmaker.cd.CDFitness
 
getTrackFile(File) - Static method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
 
getTrainingFile(File) - Static method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
 
getTrainingOutputDirectory() - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
 
getTypeMap() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
 
getUserIDs() - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
 
getUserIDs() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.DataModelFactorizablePreferences
 
getUserIDs() - Method in interface org.apache.mahout.cf.taste.example.kddcup.track1.svd.FactorizablePreferences
 
getUserIDs() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.KDDCupFactorizablePreferences
 
getUserIDs() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
 
getUserIDs() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
 
getV(int) - Method in class org.apache.mahout.ga.watchmaker.cd.CDRule
 
getValidationFile(File) - Static method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
 
getW(int) - Method in class org.apache.mahout.ga.watchmaker.cd.CDRule
 
GroupLensDataModel - Class in org.apache.mahout.cf.taste.example.grouplens
 
GroupLensDataModel() - Constructor for class org.apache.mahout.cf.taste.example.grouplens.GroupLensDataModel
 
GroupLensDataModel(File) - Constructor for class org.apache.mahout.cf.taste.example.grouplens.GroupLensDataModel
 
GroupLensRecommender - Class in org.apache.mahout.cf.taste.example.grouplens
A simple Recommender implemented for the GroupLens demo.
GroupLensRecommender() - Constructor for class org.apache.mahout.cf.taste.example.grouplens.GroupLensRecommender
 
GroupLensRecommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.example.grouplens.GroupLensRecommender
Alternate constructor that takes a DataModel argument, which allows this Recommender to be used with the RecommenderEvaluator framework.
GroupLensRecommenderEvaluatorRunner - Class in org.apache.mahout.cf.taste.example.grouplens
A simple example "runner" class which will evaluate the performance of the current implementation of GroupLensRecommender.

H

hashCode() - Method in class org.apache.mahout.ga.watchmaker.cd.CDFitness
 
hashCode() - Method in class org.apache.mahout.ga.watchmaker.cd.CDRule
 
hasPreferenceValues() - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
 
hasPreferenceValues() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
 
hasPreferenceValues() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
 

I

IGNORED_TOKEN - Static variable in class org.apache.mahout.ga.watchmaker.cd.FileInfoParser
 
initialize(InputSplit, TaskAttemptContext) - Method in class org.apache.mahout.classifier.bayes.XmlInputFormat.XmlRecordReader
 
initialize() - Method in class org.apache.mahout.clustering.display.DisplayClustering
 
initialize(DataSet) - Static method in class org.apache.mahout.ga.watchmaker.cd.DataSet
Initializes the singleton dataset
initialize(InputSplit, TaskAttemptContext) - Method in class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit.RndLineRecordReader
 
initializeDataSet(Path) - Static method in class org.apache.mahout.ga.watchmaker.cd.hadoop.CDMahoutEvaluator
Initializes the dataset
isIgnored(int) - Method in class org.apache.mahout.ga.watchmaker.cd.tool.Descriptors
 
isLabel(int) - Method in class org.apache.mahout.ga.watchmaker.cd.tool.Descriptors
 
isNatural() - Method in class org.apache.mahout.ga.watchmaker.cd.CDFitnessEvaluator
 
isNatural() - Method in class org.apache.mahout.ga.watchmaker.travellingsalesman.RouteEvaluator
Returns false since shorter distances represent fitter candidates.
isNominal(int) - Method in class org.apache.mahout.ga.watchmaker.cd.tool.Descriptors
 
isNumerical(int) - Method in class org.apache.mahout.ga.watchmaker.cd.DataSet
Is the attribute numerical or nominal ?
isNumerical(int) - Method in class org.apache.mahout.ga.watchmaker.cd.tool.Descriptors
 
isSignificant(Cluster) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
 
isTraining() - Method in class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit
 
iterator() - Method in class org.apache.mahout.cf.taste.example.kddcup.DataFileIterable
 

J

JesterDataModel - Class in org.apache.mahout.cf.taste.example.jester
 
JesterDataModel() - Constructor for class org.apache.mahout.cf.taste.example.jester.JesterDataModel
 
JesterDataModel(File) - Constructor for class org.apache.mahout.cf.taste.example.jester.JesterDataModel
 
JesterRecommender - Class in org.apache.mahout.cf.taste.example.jester
A simple Recommender implemented for the Jester Online Joke Recommender data set demo.
JesterRecommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.example.jester.JesterRecommender
 
JesterRecommenderEvaluatorRunner - Class in org.apache.mahout.cf.taste.example.jester
 
Job - Class in org.apache.mahout.clustering.syntheticcontrol.canopy
 
Job - Class in org.apache.mahout.clustering.syntheticcontrol.dirichlet
 
Job - Class in org.apache.mahout.clustering.syntheticcontrol.fuzzykmeans
 
Job - Class in org.apache.mahout.clustering.syntheticcontrol.kmeans
 
Job - Class in org.apache.mahout.clustering.syntheticcontrol.meanshift
 

K

KDDCupDataModel - Class in org.apache.mahout.cf.taste.example.kddcup
An DataModel which reads into memory any of the KDD Cup's rating files; it is really meant for use with training data in the files trainIdx{1,2}}.txt.
KDDCupDataModel(File) - Constructor for class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
 
KDDCupDataModel(File, boolean, double) - Constructor for class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
 
KDDCupFactorizablePreferences - Class in org.apache.mahout.cf.taste.example.kddcup.track1.svd
 
KDDCupFactorizablePreferences(File) - Constructor for class org.apache.mahout.cf.taste.example.kddcup.track1.svd.KDDCupFactorizablePreferences
 
KeyBasedStringTupleCombiner - Class in org.apache.mahout.fpm.pfpgrowth.dataset
 
KeyBasedStringTupleCombiner() - Constructor for class org.apache.mahout.fpm.pfpgrowth.dataset.KeyBasedStringTupleCombiner
 
KeyBasedStringTupleGrouper - Class in org.apache.mahout.fpm.pfpgrowth.dataset
 
KeyBasedStringTupleMapper - Class in org.apache.mahout.fpm.pfpgrowth.dataset
Splits the line using a Pattern and outputs key as given by the groupingFields
KeyBasedStringTupleMapper() - Constructor for class org.apache.mahout.fpm.pfpgrowth.dataset.KeyBasedStringTupleMapper
 
KeyBasedStringTupleReducer - Class in org.apache.mahout.fpm.pfpgrowth.dataset
 
KeyBasedStringTupleReducer() - Constructor for class org.apache.mahout.fpm.pfpgrowth.dataset.KeyBasedStringTupleReducer
 

L

LABEL_TOKEN - Static variable in class org.apache.mahout.ga.watchmaker.cd.FileInfoParser
 
LastfmClusterEvaluator - Class in org.apache.mahout.clustering.minhash
 
LastfmDataConverter - Class in org.apache.mahout.clustering.minhash
 
loadClusters(Path) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
 
loadData(Configuration, Path, Dataset) - Static method in class org.apache.mahout.df.mapred.BuildForest
 
loadData(Configuration, Path, Dataset) - Static method in class org.apache.mahout.df.mapreduce.BuildForest
 
loadFrom(InputStream) - Static method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
Reads a model from a stream.
loadFrom(File) - Static method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
Reads a model from a file.
LogisticModelParameters - Class in org.apache.mahout.classifier.sgd
Encapsulates everything we need to know about a model and how it reads and vectorizes its input.
LogisticModelParameters() - Constructor for class org.apache.mahout.classifier.sgd.LogisticModelParameters
 

M

main(String...) - Static method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingBooleanRecommenderEvaluatorRunner
 
main(String...) - Static method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingRecommenderEvaluatorRunner
 
main(String...) - Static method in class org.apache.mahout.cf.taste.example.grouplens.GroupLensRecommenderEvaluatorRunner
 
main(String...) - Static method in class org.apache.mahout.cf.taste.example.jester.JesterRecommenderEvaluatorRunner
 
main(String[]) - Static method in class org.apache.mahout.cf.taste.example.kddcup.ToCSV
 
main(String[]) - Static method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.Track1SVDRunner
 
main(String...) - Static method in class org.apache.mahout.cf.taste.example.kddcup.track1.Track1RecommenderEvaluatorRunner
 
main(String[]) - Static method in class org.apache.mahout.cf.taste.example.kddcup.track1.Track1Runner
 
main(String[]) - Static method in class org.apache.mahout.cf.taste.example.kddcup.track2.Track2Runner
 
main(String...) - Static method in class org.apache.mahout.cf.taste.example.netflix.NetflixRecommenderEvaluatorRunner
 
main(String[]) - Static method in class org.apache.mahout.cf.taste.example.netflix.TransposeToByUser
 
main(String[]) - Static method in class org.apache.mahout.classifier.bayes.PrepareTwentyNewsgroups
 
main(String[]) - Static method in class org.apache.mahout.classifier.bayes.SplitBayesInput
 
main(String[]) - Static method in class org.apache.mahout.classifier.bayes.WikipediaDatasetCreatorDriver
Takes in two arguments: The input Path where the input documents live The output Path where to write the classifier as a SequenceFile
main(String[]) - Static method in class org.apache.mahout.classifier.bayes.WikipediaXmlSplitter
 
main(String[]) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.PosTagger
 
main(String[]) - Static method in class org.apache.mahout.classifier.sgd.PrintResourceOrFile
 
main(String[]) - Static method in class org.apache.mahout.classifier.sgd.RunLogistic
 
main(String[]) - Static method in class org.apache.mahout.classifier.sgd.SimpleCsvExamples
 
main(String[]) - Static method in class org.apache.mahout.classifier.sgd.TrainLogistic
 
main(String[]) - Static method in class org.apache.mahout.classifier.sgd.TrainNewsGroups
 
main(String[]) - Static method in class org.apache.mahout.clustering.display.DisplayCanopy
 
main(String[]) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
 
main(String[]) - Static method in class org.apache.mahout.clustering.display.DisplayDirichlet
 
main(String[]) - Static method in class org.apache.mahout.clustering.display.DisplayFuzzyKMeans
 
main(String[]) - Static method in class org.apache.mahout.clustering.display.DisplayKMeans
 
main(String[]) - Static method in class org.apache.mahout.clustering.display.DisplayMeanShift
 
main(String[]) - Static method in class org.apache.mahout.clustering.display.DisplaySpectralKMeans
 
main(String[]) - Static method in class org.apache.mahout.clustering.minhash.LastfmClusterEvaluator
 
main(String[]) - Static method in class org.apache.mahout.clustering.minhash.LastfmDataConverter
 
main(String[]) - Static method in class org.apache.mahout.clustering.syntheticcontrol.canopy.Job
 
main(String[]) - Static method in class org.apache.mahout.clustering.syntheticcontrol.dirichlet.Job
 
main(String[]) - Static method in class org.apache.mahout.clustering.syntheticcontrol.fuzzykmeans.Job
 
main(String[]) - Static method in class org.apache.mahout.clustering.syntheticcontrol.kmeans.Job
 
main(String[]) - Static method in class org.apache.mahout.clustering.syntheticcontrol.meanshift.Job
 
main(String[]) - Static method in class org.apache.mahout.df.BreimanExample
 
main(String[]) - Static method in class org.apache.mahout.df.mapred.BuildForest
 
main(String[]) - Static method in class org.apache.mahout.df.mapreduce.BuildForest
 
main(String[]) - Static method in class org.apache.mahout.df.mapreduce.TestForest
 
main(String[]) - Static method in class org.apache.mahout.fpm.pfpgrowth.DeliciousTagsExample
 
main(String[]) - Static method in class org.apache.mahout.ga.watchmaker.cd.CDGA
 
main(String[]) - Static method in class org.apache.mahout.ga.watchmaker.cd.tool.CDInfosTool
 
main(String[]) - Static method in class org.apache.mahout.ga.watchmaker.travellingsalesman.TravellingSalesman
 
main(String[]) - Static method in class org.apache.mahout.text.WikipediaToSequenceFile
Takes in two arguments: The input Path where the input documents live The output Path where to write the classifier as a SequenceFile
map(LongWritable, Text, Mapper<LongWritable, Text, Text, Text>.Context) - Method in class org.apache.mahout.classifier.bayes.WikipediaDatasetCreatorMapper
 
map(LongWritable, Text, Mapper<LongWritable, Text, Text, StringTuple>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.dataset.KeyBasedStringTupleMapper
 
map(LongWritable, Text, Mapper<LongWritable, Text, LongWritable, CDFitness>.Context) - Method in class org.apache.mahout.ga.watchmaker.cd.hadoop.CDMapper
 
map(LongWritable, Text, Mapper<LongWritable, Text, LongWritable, Text>.Context) - Method in class org.apache.mahout.ga.watchmaker.cd.tool.ToolMapper
 
map(LongWritable, Text, Mapper<LongWritable, Text, Text, Text>.Context) - Method in class org.apache.mahout.text.WikipediaMapper
 
mate(CDRule, CDRule, int, Random) - Method in class org.apache.mahout.ga.watchmaker.cd.CDCrossover
 
mutate(CDRule, Random) - Method in class org.apache.mahout.ga.watchmaker.cd.CDMutation
 

N

NetflixDataModel - Class in org.apache.mahout.cf.taste.example.netflix
This is a DataModel that reads the Netflix data set, as represented in its unpacked file structure.
NetflixDataModel(File, boolean) - Constructor for class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
 
NetflixFileDataModel - Class in org.apache.mahout.cf.taste.example.netflix
 
NetflixFileDataModel(File) - Constructor for class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
 
NetflixRecommender - Class in org.apache.mahout.cf.taste.example.netflix
 
NetflixRecommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.example.netflix.NetflixRecommender
 
NetflixRecommenderEvaluatorRunner - Class in org.apache.mahout.cf.taste.example.netflix
 
nextKeyValue() - Method in class org.apache.mahout.classifier.bayes.XmlInputFormat.XmlRecordReader
 
nextKeyValue() - Method in class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit.RndLineRecordReader
 
NOMINAL_TOKEN - Static variable in class org.apache.mahout.ga.watchmaker.cd.FileInfoParser
 
NUMERICAL_TOKEN - Static variable in class org.apache.mahout.ga.watchmaker.cd.FileInfoParser
 
numItems() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.DataModelFactorizablePreferences
 
numItems() - Method in interface org.apache.mahout.cf.taste.example.kddcup.track1.svd.FactorizablePreferences
 
numItems() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.KDDCupFactorizablePreferences
 
numPreferences() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.DataModelFactorizablePreferences
 
numPreferences() - Method in interface org.apache.mahout.cf.taste.example.kddcup.track1.svd.FactorizablePreferences
 
numPreferences() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.KDDCupFactorizablePreferences
 
numUsers() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.DataModelFactorizablePreferences
 
numUsers() - Method in interface org.apache.mahout.cf.taste.example.kddcup.track1.svd.FactorizablePreferences
 
numUsers() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.KDDCupFactorizablePreferences
 

O

org.apache.mahout.analysis - package org.apache.mahout.analysis
 
org.apache.mahout.cf.taste.example - package org.apache.mahout.cf.taste.example
 
org.apache.mahout.cf.taste.example.bookcrossing - package org.apache.mahout.cf.taste.example.bookcrossing
 
org.apache.mahout.cf.taste.example.grouplens - package org.apache.mahout.cf.taste.example.grouplens
 
org.apache.mahout.cf.taste.example.jester - package org.apache.mahout.cf.taste.example.jester
 
org.apache.mahout.cf.taste.example.kddcup - package org.apache.mahout.cf.taste.example.kddcup
 
org.apache.mahout.cf.taste.example.kddcup.track1 - package org.apache.mahout.cf.taste.example.kddcup.track1
 
org.apache.mahout.cf.taste.example.kddcup.track1.svd - package org.apache.mahout.cf.taste.example.kddcup.track1.svd
 
org.apache.mahout.cf.taste.example.kddcup.track2 - package org.apache.mahout.cf.taste.example.kddcup.track2
 
org.apache.mahout.cf.taste.example.netflix - package org.apache.mahout.cf.taste.example.netflix
 
org.apache.mahout.classifier.bayes - package org.apache.mahout.classifier.bayes
The Bayes example package provides some helper classes for training the Naive Bayes classifier on the Twenty Newsgroups data.
org.apache.mahout.classifier.sequencelearning.hmm - package org.apache.mahout.classifier.sequencelearning.hmm
 
org.apache.mahout.classifier.sgd - package org.apache.mahout.classifier.sgd
 
org.apache.mahout.clustering.display - package org.apache.mahout.clustering.display
 
org.apache.mahout.clustering.minhash - package org.apache.mahout.clustering.minhash
 
org.apache.mahout.clustering.syntheticcontrol.canopy - package org.apache.mahout.clustering.syntheticcontrol.canopy
 
org.apache.mahout.clustering.syntheticcontrol.dirichlet - package org.apache.mahout.clustering.syntheticcontrol.dirichlet
 
org.apache.mahout.clustering.syntheticcontrol.fuzzykmeans - package org.apache.mahout.clustering.syntheticcontrol.fuzzykmeans
 
org.apache.mahout.clustering.syntheticcontrol.kmeans - package org.apache.mahout.clustering.syntheticcontrol.kmeans
 
org.apache.mahout.clustering.syntheticcontrol.meanshift - package org.apache.mahout.clustering.syntheticcontrol.meanshift
 
org.apache.mahout.df - package org.apache.mahout.df
 
org.apache.mahout.df.mapred - package org.apache.mahout.df.mapred
 
org.apache.mahout.df.mapreduce - package org.apache.mahout.df.mapreduce
 
org.apache.mahout.fpm.pfpgrowth - package org.apache.mahout.fpm.pfpgrowth
 
org.apache.mahout.fpm.pfpgrowth.dataset - package org.apache.mahout.fpm.pfpgrowth.dataset
 
org.apache.mahout.ga.watchmaker.cd - package org.apache.mahout.ga.watchmaker.cd
 
org.apache.mahout.ga.watchmaker.cd.hadoop - package org.apache.mahout.ga.watchmaker.cd.hadoop
 
org.apache.mahout.ga.watchmaker.cd.tool - package org.apache.mahout.ga.watchmaker.cd.tool
 
org.apache.mahout.ga.watchmaker.travellingsalesman - package org.apache.mahout.ga.watchmaker.travellingsalesman
 
org.apache.mahout.text - package org.apache.mahout.text
 

P

paint(Graphics) - Method in class org.apache.mahout.clustering.display.DisplayCanopy
 
paint(Graphics) - Method in class org.apache.mahout.clustering.display.DisplayClustering
 
paint(Graphics) - Method in class org.apache.mahout.clustering.display.DisplayDirichlet
 
paint(Graphics) - Method in class org.apache.mahout.clustering.display.DisplayFuzzyKMeans
 
paint(Graphics) - Method in class org.apache.mahout.clustering.display.DisplayKMeans
 
paint(Graphics) - Method in class org.apache.mahout.clustering.display.DisplayMeanShift
 
paint(Graphics) - Method in class org.apache.mahout.clustering.display.DisplaySpectralKMeans
 
ParallelArraysSGDFactorizer - Class in org.apache.mahout.cf.taste.example.kddcup.track1.svd
Factorizer based on Simon Funk's famous article "Netflix Update: Try this at home".
ParallelArraysSGDFactorizer(DataModel, int, int) - Constructor for class org.apache.mahout.cf.taste.example.kddcup.track1.svd.ParallelArraysSGDFactorizer
 
ParallelArraysSGDFactorizer(DataModel, int, int, double, double, double) - Constructor for class org.apache.mahout.cf.taste.example.kddcup.track1.svd.ParallelArraysSGDFactorizer
 
ParallelArraysSGDFactorizer(FactorizablePreferences, int, int) - Constructor for class org.apache.mahout.cf.taste.example.kddcup.track1.svd.ParallelArraysSGDFactorizer
 
ParallelArraysSGDFactorizer(FactorizablePreferences, int, int, double, double, double) - Constructor for class org.apache.mahout.cf.taste.example.kddcup.track1.svd.ParallelArraysSGDFactorizer
 
parseArgs(String[]) - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
Configure this instance based on the command-line arguments contained within provided array.
parseFile(FileSystem, Path) - Static method in class org.apache.mahout.ga.watchmaker.cd.FileInfoParser
Initializes a dataset using an info file.
plotClusters(Graphics2D) - Static method in class org.apache.mahout.clustering.display.DisplayCanopy
 
plotClusters(Graphics2D) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
 
plotEllipse(Graphics2D, Vector, Vector) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
Draw an ellipse on the graphics context
plotRectangle(Graphics2D, Vector, Vector) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
Draw a rectangle on the graphics context
plotSampleData(Graphics2D) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
 
plotSampleParameters(Graphics2D) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
 
PosTagger - Class in org.apache.mahout.classifier.sequencelearning.hmm
This class implements a sample program that uses a pre-tagged training data set to train an HMM model as a POS tagger.
PrepareTwentyNewsgroups - Class in org.apache.mahout.classifier.bayes
Prepare the 20 Newsgroups files for training using the BayesFileFormatter.
printModels(Iterable<Cluster[]>, int) - Static method in class org.apache.mahout.clustering.display.DisplayDirichlet
 
PrintResourceOrFile - Class in org.apache.mahout.classifier.sgd
Uses the same logic as TrainLogistic and RunLogistic for finding an input, but instead of processing the input, this class just prints the input to standard out.
processLine(String, FastByIDMap<?>, FastByIDMap<FastByIDMap<Long>>, boolean) - Method in class org.apache.mahout.cf.taste.example.jester.JesterDataModel
 
processOneEstimate(float, Preference) - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.Track1RecommenderEvaluator
 
ProgressListener - Interface in org.apache.mahout.ga.watchmaker.travellingsalesman
Call-back interface for keeping track of the progress of a TravellingSalesmanStrategy implementation.

R

readClassifier(Configuration, Path) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
 
readClusters(Path) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
 
readFields(DataInput) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
 
readFields(DataInput) - Method in class org.apache.mahout.ga.watchmaker.cd.CDFitness
 
readResourceToTempFile(String) - Static method in class org.apache.mahout.cf.taste.example.grouplens.GroupLensDataModel
 
recommend(long, int) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingBooleanRecommender
 
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingBooleanRecommender
 
recommend(long, int) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingRecommender
 
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingRecommender
 
recommend(long, int) - Method in class org.apache.mahout.cf.taste.example.grouplens.GroupLensRecommender
 
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.example.grouplens.GroupLensRecommender
 
recommend(long, int) - Method in class org.apache.mahout.cf.taste.example.jester.JesterRecommender
 
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.example.jester.JesterRecommender
 
recommend(long, int) - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.Track1Recommender
 
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.Track1Recommender
 
recommend(long, int) - Method in class org.apache.mahout.cf.taste.example.kddcup.track2.Track2Recommender
 
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.example.kddcup.track2.Track2Recommender
 
recommend(long, int) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixRecommender
 
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixRecommender
 
reduce(Text, Iterable<Text>, Reducer<Text, Text, Text, Text>.Context) - Method in class org.apache.mahout.classifier.bayes.WikipediaDatasetCreatorReducer
 
reduce(Text, Iterable<StringTuple>, Reducer<Text, StringTuple, Text, StringTuple>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.dataset.KeyBasedStringTupleCombiner
 
reduce(Text, Iterable<StringTuple>, Reducer<Text, StringTuple, Text, Text>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.dataset.KeyBasedStringTupleReducer
 
reduce(LongWritable, Iterable<CDFitness>, Reducer<LongWritable, CDFitness, LongWritable, CDFitness>.Context) - Method in class org.apache.mahout.ga.watchmaker.cd.hadoop.CDReducer
 
reduce(LongWritable, Iterable<Text>, Reducer<LongWritable, Text, LongWritable, Text>.Context) - Method in class org.apache.mahout.ga.watchmaker.cd.tool.ToolCombiner
 
reduce(LongWritable, Iterable<Text>, Reducer<LongWritable, Text, LongWritable, Text>.Context) - Method in class org.apache.mahout.ga.watchmaker.cd.tool.ToolReducer
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingBooleanRecommender
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingRecommender
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.example.grouplens.GroupLensRecommender
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.example.jester.JesterRecommender
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.ParallelArraysSGDFactorizer
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.Track1Recommender
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.example.kddcup.track2.Track2Recommender
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
 
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixRecommender
 
reload() - Method in class org.apache.mahout.cf.taste.example.jester.JesterDataModel
 
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingBooleanRecommender
 
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingRecommender
 
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.grouplens.GroupLensRecommender
 
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.jester.JesterRecommender
 
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
 
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.Track1Recommender
 
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.kddcup.track2.Track2Recommender
 
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
 
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
 
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixRecommender
 
res - Static variable in class org.apache.mahout.clustering.display.DisplayClustering
 
reset() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.Track1RecommenderEvaluator
 
RouteEvaluator - Class in org.apache.mahout.ga.watchmaker.travellingsalesman
Fitness evalator that measures the total distance of a route in the travelling salesman problem.
RouteEvaluator(DistanceLookup) - Constructor for class org.apache.mahout.ga.watchmaker.travellingsalesman.RouteEvaluator
 
Rule - Interface in org.apache.mahout.ga.watchmaker.cd
Classification rule.
run(String[]) - Method in class org.apache.mahout.clustering.syntheticcontrol.canopy.Job
 
run(String[]) - Method in class org.apache.mahout.clustering.syntheticcontrol.dirichlet.Job
 
run(Path, Path, DistributionDescription, int, int, double, boolean, double) - Method in class org.apache.mahout.clustering.syntheticcontrol.dirichlet.Job
Run the job using supplied arguments, deleting the output directory if it exists beforehand
run(String[]) - Method in class org.apache.mahout.clustering.syntheticcontrol.fuzzykmeans.Job
 
run(Configuration, Path, Path, DistanceMeasure, double, double, int, float, double) - Method in class org.apache.mahout.clustering.syntheticcontrol.fuzzykmeans.Job
Run the kmeans clustering job on an input dataset using the given distance measure, t1, t2 and iteration parameters.
run(String[]) - Method in class org.apache.mahout.clustering.syntheticcontrol.kmeans.Job
 
run(Configuration, Path, Path, DistanceMeasure, int, double, int) - Method in class org.apache.mahout.clustering.syntheticcontrol.kmeans.Job
Run the kmeans clustering job on an input dataset using the given the number of clusters k and iteration parameters.
run(Configuration, Path, Path, DistanceMeasure, double, double, double, int) - Method in class org.apache.mahout.clustering.syntheticcontrol.kmeans.Job
Run the kmeans clustering job on an input dataset using the given distance measure, t1, t2 and iteration parameters.
run(String[]) - Method in class org.apache.mahout.clustering.syntheticcontrol.meanshift.Job
 
run(Configuration, Path, Path, DistanceMeasure, double, double, double, int) - Method in class org.apache.mahout.clustering.syntheticcontrol.meanshift.Job
Run the meanshift clustering job on an input dataset using the given distance measure, t1, t2 and iteration parameters.
run(String[]) - Method in class org.apache.mahout.df.BreimanExample
 
run(String[]) - Method in class org.apache.mahout.df.mapred.BuildForest
 
run(String[]) - Method in class org.apache.mahout.df.mapreduce.BuildForest
 
run(String[]) - Method in class org.apache.mahout.df.mapreduce.TestForest
 
runJob(String, String, String, boolean, Class<? extends Analyzer>) - Static method in class org.apache.mahout.classifier.bayes.WikipediaDatasetCreatorDriver
Run the job
runJob(String, String, String, boolean, boolean) - Static method in class org.apache.mahout.text.WikipediaToSequenceFile
Run the job
RunLogistic - Class in org.apache.mahout.classifier.sgd
 

S

SAMPLE_DATA - Static variable in class org.apache.mahout.clustering.display.DisplayClustering
 
saveTo(OutputStream) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
Saves a model to an output stream.
SEPARATOR - Static variable in class org.apache.mahout.classifier.sgd.SimpleCsvExamples
 
SEPARATOR_CHAR - Static variable in class org.apache.mahout.classifier.sgd.SimpleCsvExamples
 
set(String) - Method in class org.apache.mahout.ga.watchmaker.cd.DataLine
 
setCallback(SplitBayesInput.SplitCallback) - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
Sets the callback used to inform the caller that an input file has been successfully split
setCharset(Charset) - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
Set the charset used to read and write files
setEnabled(boolean) - Method in class org.apache.mahout.ga.watchmaker.travellingsalesman.TravellingSalesman
Toggles whether the controls are enabled for input or not.
setInputDirectory(Path) - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
Set the directory from which input data will be read when the the SplitBayesInput.splitDirectory() method is invoked
setLambda(double) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
 
setLearningRate(double) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
 
setMaxTargetCategories(int) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
Sets the number of target categories to be considered.
setNumFeatures(int) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
 
setO(int, boolean) - Method in class org.apache.mahout.ga.watchmaker.cd.CDRule
set the operator
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingBooleanRecommender
 
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingRecommender
 
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.example.grouplens.GroupLensRecommender
 
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.example.jester.JesterRecommender
 
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel
 
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.Track1Recommender
 
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.example.kddcup.track2.Track2Recommender
 
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
 
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
 
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixRecommender
 
setSplitLocation(int) - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
Set the location of the start of the test/training data split.
setTargetCategories(List<String>) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
 
setTargetVariable(String) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
Sets the target variable.
setTestOutputDirectory(Path) - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
Set the directory to which test data will be written.
setTestRandomSelectionPct(int) - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
Sets number of random input samples that will be saved to the test set as a percentage of the size of the input set.
setTestRandomSelectionSize(int) - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
Sets number of random input samples that will be saved to the test set.
setTestSplitPct(int) - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
Sets the percentage of the input data to allocate to the test split
setTestSplitSize(int) - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
 
setTraining(boolean) - Method in class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit
 
setTrainingOutputDirectory(Path) - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
Set the directory to which training data will be written.
setTypeMap(Iterable<String>, List<String>) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
Sets the types of the predictors.
setup(Mapper<LongWritable, Text, Text, Text>.Context) - Method in class org.apache.mahout.classifier.bayes.WikipediaDatasetCreatorMapper
 
setup(Mapper<LongWritable, Text, Text, StringTuple>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.dataset.KeyBasedStringTupleMapper
 
setup(Reducer<Text, StringTuple, Text, Text>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.dataset.KeyBasedStringTupleReducer
 
setup(Mapper<LongWritable, Text, LongWritable, CDFitness>.Context) - Method in class org.apache.mahout.ga.watchmaker.cd.hadoop.CDMapper
 
setup(Reducer<LongWritable, Text, LongWritable, Text>.Context) - Method in class org.apache.mahout.ga.watchmaker.cd.tool.ToolCombiner
 
setup(Mapper<LongWritable, Text, LongWritable, Text>.Context) - Method in class org.apache.mahout.ga.watchmaker.cd.tool.ToolMapper
 
setup(Reducer<LongWritable, Text, LongWritable, Text>.Context) - Method in class org.apache.mahout.ga.watchmaker.cd.tool.ToolReducer
 
setup(Mapper<LongWritable, Text, Text, Text>.Context) - Method in class org.apache.mahout.text.WikipediaMapper
 
setUseBias(boolean) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
 
setV(int, double) - Method in class org.apache.mahout.ga.watchmaker.cd.CDRule
 
setW(int, double) - Method in class org.apache.mahout.ga.watchmaker.cd.CDRule
 
shufflePreferences() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.ParallelArraysSGDFactorizer
 
SimpleCsvExamples - Class in org.apache.mahout.classifier.sgd
Shows how different encoding choices can make big speed differences.
SIZE - Static variable in class org.apache.mahout.clustering.display.DisplayClustering
 
size() - Method in class org.apache.mahout.ga.watchmaker.cd.tool.Descriptors
 
skip(int) - Method in class org.apache.mahout.cf.taste.example.kddcup.DataFileIterator
 
SplitBayesInput - Class in org.apache.mahout.classifier.bayes
A utility for splitting files in the input format used by the Bayes classifiers into training and test sets in order to perform cross-validation.
SplitBayesInput() - Constructor for class org.apache.mahout.classifier.bayes.SplitBayesInput
 
SplitBayesInput.SplitCallback - Interface in org.apache.mahout.classifier.bayes
Used to pass information back to a caller once a file has been split without the need for a data object
splitComplete(Path, int, int, int, int) - Method in interface org.apache.mahout.classifier.bayes.SplitBayesInput.SplitCallback
 
splitDirectory() - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
Perform a split on directory specified by SplitBayesInput.setInputDirectory(Path) by calling SplitBayesInput.splitFile(Path) on each file found within that directory.
splitDirectory(Path) - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
Perform a split on the specified directory by calling SplitBayesInput.splitFile(Path) on each file found within that directory.
splitFile(Path) - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
Perform a split on the specified input file.
START_TAG_KEY - Static variable in class org.apache.mahout.classifier.bayes.XmlInputFormat
 
startJob(Parameters) - Static method in class org.apache.mahout.fpm.pfpgrowth.dataset.KeyBasedStringTupleGrouper
 
storeJobParameters(Configuration) - Method in class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit
 

T

T1 - Static variable in class org.apache.mahout.clustering.display.DisplayClustering
 
T2 - Static variable in class org.apache.mahout.clustering.display.DisplayClustering
 
TasteOptionParser - Class in org.apache.mahout.cf.taste.example
This class provides a common implementation for parsing input parameters for all taste examples.
TestForest - Class in org.apache.mahout.df.mapreduce
Tool to classify a Dataset using a previously built Decision Forest
TestForest() - Constructor for class org.apache.mahout.df.mapreduce.TestForest
 
ToCSV - Class in org.apache.mahout.cf.taste.example.kddcup
This class converts a KDD Cup input file into a compressed CSV format.
tokenStream(String, Reader) - Method in class org.apache.mahout.analysis.WikipediaAnalyzer
 
ToolCombiner - Class in org.apache.mahout.ga.watchmaker.cd.tool
Combines attribute values into a String.
For Numerical attributes, the string contains the min and max values found. For Categorical attributes, the string contains the distinct values found. See Descriptors, for more informations about the job parameter
ToolCombiner() - Constructor for class org.apache.mahout.ga.watchmaker.cd.tool.ToolCombiner
 
ToolMapper - Class in org.apache.mahout.ga.watchmaker.cd.tool
Extract the attribute values from a dataline.
ToolMapper() - Constructor for class org.apache.mahout.ga.watchmaker.cd.tool.ToolMapper
 
ToolReducer - Class in org.apache.mahout.ga.watchmaker.cd.tool
Combines attribute description strings into a String.
For Numerical attributes, the string contains the min and max values found. For Categorical attributes, the string contains the distinct values found. See Descriptors, for more informations about the job parameter
ToolReducer() - Constructor for class org.apache.mahout.ga.watchmaker.cd.tool.ToolReducer
 
toString() - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingBooleanRecommender
 
toString() - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingDataModel
 
toString() - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingRecommender
 
toString() - Method in class org.apache.mahout.cf.taste.example.grouplens.GroupLensDataModel
 
toString() - Method in class org.apache.mahout.cf.taste.example.grouplens.GroupLensRecommender
 
toString() - Method in class org.apache.mahout.cf.taste.example.jester.JesterRecommender
 
toString() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.Track1Recommender
 
toString() - Method in class org.apache.mahout.cf.taste.example.kddcup.track2.Track2Recommender
 
toString() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
 
toString() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
 
toString() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixRecommender
 
toString() - Method in class org.apache.mahout.ga.watchmaker.cd.CDFitness
 
toString() - Method in class org.apache.mahout.ga.watchmaker.cd.CDRule
 
Track1Recommender - Class in org.apache.mahout.cf.taste.example.kddcup.track1
 
Track1Recommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.example.kddcup.track1.Track1Recommender
 
Track1RecommenderEvaluator - Class in org.apache.mahout.cf.taste.example.kddcup.track1
Attempts to run an evaluation just like that dictated for Yahoo's KDD Cup, Track 1.
Track1RecommenderEvaluator(File) - Constructor for class org.apache.mahout.cf.taste.example.kddcup.track1.Track1RecommenderEvaluator
 
Track1RecommenderEvaluatorRunner - Class in org.apache.mahout.cf.taste.example.kddcup.track1
 
Track1Runner - Class in org.apache.mahout.cf.taste.example.kddcup.track1
Runs "track 1" of the KDD Cup competition using whatever recommender is inside Track1Recommender and attempts to output the result in the correct contest format.
Track1SVDRunner - Class in org.apache.mahout.cf.taste.example.kddcup.track1.svd
run an SVD factorization of the KDD track1 data.
Track2Recommender - Class in org.apache.mahout.cf.taste.example.kddcup.track2
 
Track2Recommender(DataModel, File) - Constructor for class org.apache.mahout.cf.taste.example.kddcup.track2.Track2Recommender
 
Track2Runner - Class in org.apache.mahout.cf.taste.example.kddcup.track2
Runs "track 2" of the KDD Cup competition using whatever recommender is inside Track2Recommender and attempts to output the result in the correct contest format.
train(int, int, int, double, double) - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.svd.ParallelArraysSGDFactorizer
 
TrainLogistic - Class in org.apache.mahout.classifier.sgd
Train a logistic regression for the examples from Chapter 13 of Mahout in Action
TrainNewsGroups - Class in org.apache.mahout.classifier.sgd
Reads and trains an adaptive logistic regression model on the 20 newsgroups data.
TransposeToByUser - Class in org.apache.mahout.cf.taste.example.netflix
 
TravellingSalesman - Class in org.apache.mahout.ga.watchmaker.travellingsalesman
Applet for comparing evolutionary and brute force approaches to the Travelling Salesman problem.
TravellingSalesman() - Constructor for class org.apache.mahout.ga.watchmaker.travellingsalesman.TravellingSalesman
Creates the applet and lays out its GUI.
TravellingSalesmanStrategy - Interface in org.apache.mahout.ga.watchmaker.travellingsalesman
Defines methods that must be implemented by classes that provide solutions to the Travelling Salesman problem.

U

updateProgress(double) - Method in interface org.apache.mahout.ga.watchmaker.travellingsalesman.ProgressListener
Call-back method that informs the implementing object of the current completion percentage.
useBias() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
 

V

validate() - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
Validates that the current instance is in a consistent state
valueIndex(int, String) - Method in class org.apache.mahout.ga.watchmaker.cd.DataSet
Converts a string value of a nominal attribute to an int.

W

WikipediaAnalyzer - Class in org.apache.mahout.analysis
 
WikipediaAnalyzer() - Constructor for class org.apache.mahout.analysis.WikipediaAnalyzer
 
WikipediaAnalyzer(CharArraySet) - Constructor for class org.apache.mahout.analysis.WikipediaAnalyzer
 
WikipediaDatasetCreatorDriver - Class in org.apache.mahout.classifier.bayes
Create and run the Wikipedia Dataset Creator.
WikipediaDatasetCreatorMapper - Class in org.apache.mahout.classifier.bayes
Maps over Wikipedia xml format and output all document having the category listed in the input category file
WikipediaDatasetCreatorMapper() - Constructor for class org.apache.mahout.classifier.bayes.WikipediaDatasetCreatorMapper
 
WikipediaDatasetCreatorReducer - Class in org.apache.mahout.classifier.bayes
Can also be used as a local Combiner
WikipediaDatasetCreatorReducer() - Constructor for class org.apache.mahout.classifier.bayes.WikipediaDatasetCreatorReducer
 
WikipediaMapper - Class in org.apache.mahout.text
Maps over Wikipedia xml format and output all document having the category listed in the input category file
WikipediaMapper() - Constructor for class org.apache.mahout.text.WikipediaMapper
 
WikipediaToSequenceFile - Class in org.apache.mahout.text
Create and run the Wikipedia Dataset Creator.
WikipediaXmlSplitter - Class in org.apache.mahout.classifier.bayes
Splits the wikipedia xml file in to chunks of size as specified by command line parameter
write(DataOutput) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
 
write(DataOutput) - Method in class org.apache.mahout.ga.watchmaker.cd.CDFitness
 
writeClassifier(ClusterClassifier, Configuration, Path) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
 
writeSampleData(Path) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
 
writeToSequenceFile(Map<String, List<Integer>>, Path) - Static method in class org.apache.mahout.clustering.minhash.LastfmDataConverter
Converts each record in (item,features) map into Mahout vector format and writes it into sequencefile for minhash clustering

X

XmlInputFormat - Class in org.apache.mahout.classifier.bayes
Reads records that are delimited by a specific begin/end tag.
XmlInputFormat() - Constructor for class org.apache.mahout.classifier.bayes.XmlInputFormat
 
XmlInputFormat.XmlRecordReader - Class in org.apache.mahout.classifier.bayes
XMLRecordReader class to read through a given xml document to output xml blocks as records as specified by the start tag and end tag
XmlInputFormat.XmlRecordReader(FileSplit, Configuration) - Constructor for class org.apache.mahout.classifier.bayes.XmlInputFormat.XmlRecordReader
 

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