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.DisplayClustering
-
- paint(Graphics) -
Method in class org.apache.mahout.clustering.display.DisplayDirichlet
-
- 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.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.
- printResults(String, ModelDistribution<VectorWritable>, int, int, double) -
Static method in class org.apache.mahout.clustering.syntheticcontrol.dirichlet.Job
- Prints out all of the clusters for each iteration
- processLine(String, FastByIDMap<?>, FastByIDMap<FastByIDMap<Long>>, boolean) -
Method in class org.apache.mahout.cf.taste.example.jester.JesterDataModel
-
- ProgressListener - Interface in org.apache.mahout.ga.watchmaker.travellingsalesman
- Call-back interface for keeping track of the progress of a
TravellingSalesmanStrategy
implementation.
R
- readClusters(Path) -
Static method in class org.apache.mahout.clustering.display.DisplayClustering
-
- 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.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.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.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
-
- 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, ModelDistribution<VectorWritable>, 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, 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
-
- saveModel(Writer, OnlineLogisticRegression, List<String>) -
Static method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
-
- saveTo(Writer) -
Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
- Saves a model in JSON format.
- serialize(Matrix, Type, JsonSerializationContext) -
Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters.MatrixTypeAdapter
-
- 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.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
-
- SIZE -
Static variable in class org.apache.mahout.clustering.display.DisplayClustering
-
- size() -
Method in class org.apache.mahout.ga.watchmaker.cd.tool.Descriptors
-
- 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
-
- 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.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
-
- 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.
- TrainNewsGroups() -
Constructor for class org.apache.mahout.classifier.sgd.TrainNewsGroups
-
- 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
-
- WikipediaDatasetCreatorOutputFormat - Class in org.apache.mahout.classifier.bayes
- This class extends the MultipleOutputFormat, allowing to write the output data to different output files in
sequence file output format.
- WikipediaDatasetCreatorOutputFormat() -
Constructor for class org.apache.mahout.classifier.bayes.WikipediaDatasetCreatorOutputFormat
-
- 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
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- 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
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- 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.ga.watchmaker.cd.CDFitness
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- writeSampleData(Path) -
Static method in class org.apache.mahout.clustering.display.DisplayClustering
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- 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
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- 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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