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

A

AdaptiveLogisticModelParameters - Class in org.apache.mahout.classifier.sgd

AdaptiveLogisticModelParameters() - Constructor for class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters

AFFINITIES - Static variable in class org.apache.mahout.clustering.display.DisplaySpectralKMeans

B

BatchItemSimilaritiesGroupLens - Class in org.apache.mahout.cf.taste.similarity.precompute.example

Example that precomputes all item similarities of the Movielens1M dataset Usage: download movielens1M from http://www.grouplens.org/node/73 , unzip it and invoke this code with the path to the ratings.dat file as argument

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.classifier.df

Test procedure as described in Breiman's paper.
Leo Breiman: Random Forests.

BreimanExample() - Constructor for class org.apache.mahout.classifier.df.BreimanExample

BuildForest - Class in org.apache.mahout.classifier.df.mapreduce

Tool to builds a Random Forest using any given dataset (in UCI format).

BuildForest() - Constructor for class org.apache.mahout.classifier.df.mapreduce.BuildForest

buildModel() - Method in class org.apache.mahout.cf.taste.example.jester.JesterDataModel

C

checkParameters() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters

cleanUpEmailAddress(CharSequence) - Static method in class org.apache.mahout.cf.taste.example.email.EmailUtility

Strip off some spurious characters that make it harder to dedup

close() - Method in class org.apache.mahout.cf.taste.example.kddcup.DataFileIterator

ClusterQualitySummarizer - Class in org.apache.mahout.clustering.streaming.tools

ClusterQualitySummarizer() - Constructor for class org.apache.mahout.clustering.streaming.tools.ClusterQualitySummarizer

CLUSTERS - Static variable in class org.apache.mahout.clustering.display.DisplayClustering

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).

countWords(Analyzer, Collection<String>, Reader, Multiset<String>) - Static method in class org.apache.mahout.classifier.NewsgroupHelper

createAdaptiveLogisticRegression() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters

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

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

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

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

DisplayMinHash - Class in org.apache.mahout.clustering.display

This class displays the work of the minimum hash algorithm.

DisplayMinHash(DisplayMinHash.PlotType) - Constructor for class org.apache.mahout.clustering.display.DisplayMinHash

Creates a new instance.

DisplayMinHash.PlotType - Enum in org.apache.mahout.clustering.display

Enumeration of the possible plot types for the DisplayMinHash program.

DisplaySpectralKMeans - Class in org.apache.mahout.clustering.display

dissect(int, Dictionary, AdaptiveLogisticRegression, Iterable<File>, Multiset<String>) - Static method in class org.apache.mahout.classifier.sgd.SGDHelper

DS - Static variable in class org.apache.mahout.clustering.display.DisplayClustering

E

EmailUtility - Class in org.apache.mahout.cf.taste.example.email

EmailUtility.Counters - Enum in org.apache.mahout.cf.taste.example.email

encodeFeatureVector(File, int, int, Multiset<String>) - Method in class org.apache.mahout.classifier.NewsgroupHelper

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

evaluate(RecommenderBuilder, DataModelBuilder, DataModel, double, double) - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.Track1RecommenderEvaluator

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

FEATURES - Static variable in class org.apache.mahout.classifier.NewsgroupHelper

FROM_INDEX - Static variable in class org.apache.mahout.cf.taste.example.email.EmailUtility

FROM_PREFIX - Static variable in class org.apache.mahout.cf.taste.example.email.EmailUtility

FromEmailToDictionaryMapper - Class in org.apache.mahout.cf.taste.example.email

Assumes the input is in the format created by SequenceFilesFromMailArchives

FromEmailToDictionaryMapper() - Constructor for class org.apache.mahout.cf.taste.example.email.FromEmailToDictionaryMapper

G

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

generateResults(Path, Path, 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

getAuc() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters

getAverageWindow() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters

getBias() - Method in class org.apache.mahout.classifier.NewsgroupHelper

getCentroidsFromCentroidWritableIterable(Iterable<CentroidWritable>) - Static method in class org.apache.mahout.clustering.streaming.tools.IOUtils

Converts CentroidWritable values in a sequence file into Centroids lazily.

getCentroidsFromClusterWritableIterable(Iterable<ClusterWritable>) - Static method in class org.apache.mahout.clustering.streaming.tools.IOUtils

Converts CentroidWritable values in a sequence file into Centroids lazily.

getCsvRecordFactory() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters

Returns a CsvRecordFactory compatible with this logistic model.

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

getEncoder() - Method in class org.apache.mahout.classifier.NewsgroupHelper

getInterval() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters

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

getItemIDsFromUser(long) - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel

getLambda() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters

getLearningRate() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters

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

getMaxTargetCategories() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters

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

getModel() - Static method in class org.apache.mahout.classifier.sgd.TrainAdaptiveLogistic

getModel() - Static method in class org.apache.mahout.classifier.sgd.TrainLogistic

getNumFeatures() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters

getNumItems() - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel

getNumUsers() - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel

getNumUsersWithPreferenceFor(long) - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel

getNumUsersWithPreferenceFor(long, long) - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel

getParameters() - Static method in class org.apache.mahout.classifier.sgd.TrainAdaptiveLogistic

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

getPreferencesFromUser(long) - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel

getPreferenceTime(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.kddcup.KDDCupDataModel

getPrior() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters

getPriorOption() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters

getRandom() - Method in class org.apache.mahout.classifier.NewsgroupHelper

getRatings(String[]) - Static method in class org.apache.mahout.cf.taste.example.TasteOptionParser

Parse the given command line arguments.

getTargetCategories() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters

getTargetVariable() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters

getTestFile(File) - Static method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel

getThreads() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters

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

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

getValidationFile(File) - Static method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel

getVectorsFromVectorWritableIterable(Iterable<VectorWritable>) - Static method in class org.apache.mahout.clustering.streaming.tools.IOUtils

Converts VectorWritable values in a sequence file into Vectors lazily.

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

hasPreferenceValues() - Method in class org.apache.mahout.cf.taste.example.kddcup.KDDCupDataModel

I

initialize() - Method in class org.apache.mahout.clustering.display.DisplayClustering

IOUtils - Class in org.apache.mahout.clustering.streaming.tools

isSignificant(Cluster) - Static method in class org.apache.mahout.clustering.display.DisplayClustering

ITEMS_PER_CLASS - Static variable in class org.apache.mahout.classifier.email.PrepEmailVectorsDriver

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

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.DisplayMinHash

loadClustersWritable(Path) - Static method in class org.apache.mahout.clustering.display.DisplayClustering

loadData(Configuration, Path, Dataset) - Static method in class org.apache.mahout.classifier.df.mapreduce.BuildForest

loadDictionaries(Configuration, String, OpenObjectIntHashMap<String>, String, OpenObjectIntHashMap<String>) - Static method in class org.apache.mahout.cf.taste.example.email.EmailUtility

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.

loadFromFile(File) - Static method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters

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

MailToDictionaryReducer - Class in org.apache.mahout.cf.taste.example.email

Key: the string id Value: the count Out Key: the string id Out Value: the sum of the counts

MailToDictionaryReducer() - Constructor for class org.apache.mahout.cf.taste.example.email.MailToDictionaryReducer

MailToPrefsDriver - Class in org.apache.mahout.cf.taste.example.email

Convert the Mail archives (see SequenceFilesFromMailArchives) to a preference file that can be consumed by the RecommenderJob.

MailToPrefsDriver() - Constructor for class org.apache.mahout.cf.taste.example.email.MailToPrefsDriver

MailToRecMapper - Class in org.apache.mahout.cf.taste.example.email

MailToRecMapper() - Constructor for class org.apache.mahout.cf.taste.example.email.MailToRecMapper

MailToRecMapper.Counters - Enum in org.apache.mahout.cf.taste.example.email

MailToRecReducer - Class in org.apache.mahout.cf.taste.example.email

MailToRecReducer() - Constructor for class org.apache.mahout.cf.taste.example.email.MailToRecReducer

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.email.MailToPrefsDriver

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.hadoop.example.als.netflix.NetflixDatasetConverter

main(String[]) - Static method in class org.apache.mahout.cf.taste.similarity.precompute.example.BatchItemSimilaritiesGroupLens

main(String[]) - Static method in class org.apache.mahout.classifier.df.BreimanExample

main(String[]) - Static method in class org.apache.mahout.classifier.df.mapreduce.BuildForest

main(String[]) - Static method in class org.apache.mahout.classifier.df.mapreduce.TestForest

main(String[]) - Static method in class org.apache.mahout.classifier.email.PrepEmailVectorsDriver

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.RunAdaptiveLogistic

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.TestASFEmail

main(String[]) - Static method in class org.apache.mahout.classifier.sgd.TestNewsGroups

main(String[]) - Static method in class org.apache.mahout.classifier.sgd.TrainAdaptiveLogistic

main(String[]) - Static method in class org.apache.mahout.classifier.sgd.TrainASFEmail

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.classifier.sgd.ValidateAdaptiveLogistic

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.DisplayMinHash

The entry point to the program.

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.streaming.tools.ClusterQualitySummarizer

main(String[]) - Static method in class org.apache.mahout.clustering.streaming.tools.ResplitSequenceFiles

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.fpm.pfpgrowth.DeliciousTagsExample

map(Text, Text, Mapper<Text, Text, Text, VarIntWritable>.Context) - Method in class org.apache.mahout.cf.taste.example.email.FromEmailToDictionaryMapper

map(Text, Text, Mapper<Text, Text, Text, LongWritable>.Context) - Method in class org.apache.mahout.cf.taste.example.email.MailToRecMapper

map(Text, Text, Mapper<Text, Text, Text, VarIntWritable>.Context) - Method in class org.apache.mahout.cf.taste.example.email.MsgIdToDictionaryMapper

map(WritableComparable<?>, VectorWritable, Mapper<WritableComparable<?>, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.email.PrepEmailMapper

map(LongWritable, Text, Mapper<LongWritable, Text, Text, StringTuple>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.dataset.KeyBasedStringTupleMapper

MSG_ID_DIMENSION - Static variable in class org.apache.mahout.cf.taste.example.email.EmailUtility

MSG_IDS_PREFIX - Static variable in class org.apache.mahout.cf.taste.example.email.EmailUtility

MsgIdToDictionaryMapper - Class in org.apache.mahout.cf.taste.example.email

Assumes the input is in the format created by SequenceFilesFromMailArchives

MsgIdToDictionaryMapper() - Constructor for class org.apache.mahout.cf.taste.example.email.MsgIdToDictionaryMapper

N

NetflixDatasetConverter - Class in org.apache.mahout.cf.taste.hadoop.example.als.netflix

converts the raw files provided by netflix to an appropriate input format

NewsgroupHelper - Class in org.apache.mahout.classifier

NewsgroupHelper() - Constructor for class org.apache.mahout.classifier.NewsgroupHelper

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.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.email - package org.apache.mahout.cf.taste.example.email

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.hadoop.example.als.netflix - package org.apache.mahout.cf.taste.hadoop.example.als.netflix

org.apache.mahout.cf.taste.similarity.precompute.example - package org.apache.mahout.cf.taste.similarity.precompute.example

org.apache.mahout.classifier - package org.apache.mahout.classifier

org.apache.mahout.classifier.df - package org.apache.mahout.classifier.df

org.apache.mahout.classifier.df.mapreduce - package org.apache.mahout.classifier.df.mapreduce

org.apache.mahout.classifier.email - package org.apache.mahout.classifier.email

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.streaming.tools - package org.apache.mahout.clustering.streaming.tools

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.fpm.pfpgrowth - package org.apache.mahout.fpm.pfpgrowth

org.apache.mahout.fpm.pfpgrowth.dataset - package org.apache.mahout.fpm.pfpgrowth.dataset

OUTPUT - Static variable in class org.apache.mahout.clustering.display.DisplaySpectralKMeans

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.DisplayMinHash

Draws the clusters in the minimum hash algorithm according to the chosen plot type.

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

parseReferences(CharSequence) - Static method in class org.apache.mahout.cf.taste.example.email.EmailUtility

permute(Iterable<File>, Random) - Static method in class org.apache.mahout.classifier.sgd.SGDHelper

plotClusteredRectangle(Graphics2D, Vector, Vector, Color) - Static method in class org.apache.mahout.clustering.display.DisplayClustering

Identical to plotRectangle(), but with the option of setting the color of the rectangle's stroke.

plotClusteredSampleData(Graphics2D, Path) - Static method in class org.apache.mahout.clustering.display.DisplayClustering

This method plots points and colors them according to their cluster membership, rather than drawing ellipses.

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.

PrepEmailMapper - Class in org.apache.mahout.classifier.email

Convert the labels created by the MailProcessor to one consumable by the classifiers

PrepEmailMapper() - Constructor for class org.apache.mahout.classifier.email.PrepEmailMapper

PrepEmailReducer - Class in org.apache.mahout.classifier.email

PrepEmailReducer() - Constructor for class org.apache.mahout.classifier.email.PrepEmailReducer

PrepEmailVectorsDriver - Class in org.apache.mahout.classifier.email

Convert the labels generated by SequenceFilesFromMailArchives and SparseVectorsFromSequenceFiles to ones consumable by the classifiers.

PrepEmailVectorsDriver() - Constructor for class org.apache.mahout.classifier.email.PrepEmailVectorsDriver

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.

printSummaries(List<OnlineSummarizer>, String) - Method in class org.apache.mahout.clustering.streaming.tools.ClusterQualitySummarizer

printSummaries(List<OnlineSummarizer>, String, PrintWriter) - Static method in class org.apache.mahout.clustering.streaming.tools.ClusterQualitySummarizer

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

R

readClustersWritable(Path) - Static method in class org.apache.mahout.clustering.display.DisplayClustering

readFields(DataInput) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters

readFields(DataInput) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters

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

reduce(Text, Iterable<VarIntWritable>, Reducer<Text, VarIntWritable, Text, VarIntWritable>.Context) - Method in class org.apache.mahout.cf.taste.example.email.MailToDictionaryReducer

reduce(Text, Iterable<LongWritable>, Reducer<Text, LongWritable, Text, NullWritable>.Context) - Method in class org.apache.mahout.cf.taste.example.email.MailToRecReducer

reduce(Text, Iterable<VectorWritable>, Reducer<Text, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.email.PrepEmailReducer

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

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

REFS_INDEX - Static variable in class org.apache.mahout.cf.taste.example.email.EmailUtility

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

res - Static variable in class org.apache.mahout.clustering.display.DisplayClustering

reset() - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.Track1RecommenderEvaluator

ResplitSequenceFiles - Class in org.apache.mahout.clustering.streaming.tools

run(String[]) - Method in class org.apache.mahout.cf.taste.example.email.MailToPrefsDriver

run(String[]) - Method in class org.apache.mahout.classifier.df.BreimanExample

run(String[]) - Method in class org.apache.mahout.classifier.df.mapreduce.BuildForest

run(String[]) - Method in class org.apache.mahout.classifier.df.mapreduce.TestForest

run(String[]) - Method in class org.apache.mahout.classifier.email.PrepEmailVectorsDriver

run(PrintWriter) - Method in class org.apache.mahout.classifier.sgd.TestASFEmail

run(PrintWriter) - Method in class org.apache.mahout.classifier.sgd.TestNewsGroups

run(String[]) - Method in class org.apache.mahout.classifier.sgd.TrainASFEmail

run(String[]) - Method in class org.apache.mahout.clustering.streaming.tools.ClusterQualitySummarizer

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) - Static 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) - Static 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) - Static 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) - Static 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, IKernelProfile, double, double, double, int) - Static 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.

RunAdaptiveLogistic - Class in org.apache.mahout.classifier.sgd

RunLogistic - Class in org.apache.mahout.classifier.sgd

S

SAMPLE_DATA - Static variable in class org.apache.mahout.clustering.display.DisplayClustering

SAMPLES - Static variable in class org.apache.mahout.clustering.display.DisplaySpectralKMeans

saveTo(OutputStream) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters

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.cf.taste.example.email.EmailUtility

SEPARATOR_CHAR - Static variable in class org.apache.mahout.classifier.sgd.SimpleCsvExamples

setAuc(String) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters

setAverageWindow(int) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters

setInterval(int) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters

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

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

setPrior(String) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters

setPriorOption(double) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters

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.

setThreads(int) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters

setTypeMap(Iterable<String>, List<String>) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters

Sets the types of the predictors.

setTypeMap(Map<String, String>) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters

setup(Mapper<Text, Text, Text, VarIntWritable>.Context) - Method in class org.apache.mahout.cf.taste.example.email.FromEmailToDictionaryMapper

setup(Mapper<Text, Text, Text, LongWritable>.Context) - Method in class org.apache.mahout.cf.taste.example.email.MailToRecMapper

setup(Reducer<Text, LongWritable, Text, NullWritable>.Context) - Method in class org.apache.mahout.cf.taste.example.email.MailToRecReducer

setup(Mapper<WritableComparable<?>, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.email.PrepEmailMapper

setup(Reducer<Text, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.email.PrepEmailReducer

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

setUseBias(boolean) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters

SGDHelper - Class in org.apache.mahout.classifier.sgd

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

skip(int) - Method in class org.apache.mahout.cf.taste.example.kddcup.DataFileIterator

startJob(Parameters) - Static method in class org.apache.mahout.fpm.pfpgrowth.dataset.KeyBasedStringTupleGrouper

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.

TEMP - Static variable in class org.apache.mahout.clustering.display.DisplaySpectralKMeans

TestASFEmail - Class in org.apache.mahout.classifier.sgd

Run the ASF email, as trained by TrainASFEmail

TestForest - Class in org.apache.mahout.classifier.df.mapreduce

Tool to classify a Dataset using a previously built Decision Forest

TestForest() - Constructor for class org.apache.mahout.classifier.df.mapreduce.TestForest

TestNewsGroups - Class in org.apache.mahout.classifier.sgd

Run the 20 news groups test data through SGD, as trained by TrainNewsGroups.

ToCSV - Class in org.apache.mahout.cf.taste.example.kddcup

This class converts a KDD Cup input file into a compressed CSV format.

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

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

TrainAdaptiveLogistic - Class in org.apache.mahout.classifier.sgd

TrainASFEmail - Class in org.apache.mahout.classifier.sgd

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.

U

USE_COUNTS_PREFERENCE - Static variable in class org.apache.mahout.cf.taste.example.email.MailToRecReducer

We can either ignore how many times the user interacted (boolean) or output the number of times they interacted.

USE_LIST_NAME - Static variable in class org.apache.mahout.classifier.email.PrepEmailVectorsDriver

useBias() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters

V

ValidateAdaptiveLogistic - Class in org.apache.mahout.classifier.sgd

valueOf(String) - Static method in enum org.apache.mahout.cf.taste.example.email.EmailUtility.Counters

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.mahout.cf.taste.example.email.MailToRecMapper.Counters

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.apache.mahout.clustering.display.DisplayMinHash.PlotType

Returns the enum constant of this type with the specified name.

values() - Static method in enum org.apache.mahout.cf.taste.example.email.EmailUtility.Counters

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.mahout.cf.taste.example.email.MailToRecMapper.Counters

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.apache.mahout.clustering.display.DisplayMinHash.PlotType

Returns an array containing the constants of this enum type, in the order they are declared.

W

WHITESPACE - Static variable in class org.apache.mahout.cf.taste.example.email.EmailUtility

write(DataOutput) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters

write(DataOutput) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters

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

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