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
 
asVector() - Method in class org.apache.mahout.classifier.sgd.bankmarketing.TelephoneCall
 

B

BankMarketingClassificationMain - Class in org.apache.mahout.classifier.sgd.bankmarketing
Uses the SGD classifier on the 'Bank marketing' dataset from UCI.
BankMarketingClassificationMain() - Constructor for class org.apache.mahout.classifier.sgd.bankmarketing.BankMarketingClassificationMain
 
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
 

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
 
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
Deprecated.
DisplayClustering - Class in org.apache.mahout.clustering.display
 
DisplayClustering() - Constructor for class org.apache.mahout.clustering.display.DisplayClustering
 
DisplayFuzzyKMeans - Class in org.apache.mahout.clustering.display
 
DisplayKMeans - Class in org.apache.mahout.clustering.display
 
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.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
 
FEATURES - Static variable in class org.apache.mahout.classifier.sgd.bankmarketing.TelephoneCall
 
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
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.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.
getTarget() - Method in class org.apache.mahout.classifier.sgd.bankmarketing.TelephoneCall
 
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.similarity.precompute.example
 
GroupLensDataModel() - Constructor for class org.apache.mahout.cf.taste.similarity.precompute.example.GroupLensDataModel
 
GroupLensDataModel(File) - Constructor for class org.apache.mahout.cf.taste.similarity.precompute.example.GroupLensDataModel
 

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
 
iterator() - Method in class org.apache.mahout.classifier.sgd.bankmarketing.TelephoneCallParser
 

J

Job - Class in org.apache.mahout.clustering.syntheticcontrol.canopy
Deprecated.
Job - Class in org.apache.mahout.clustering.syntheticcontrol.fuzzykmeans
 
Job - Class in org.apache.mahout.clustering.syntheticcontrol.kmeans
 

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

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.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.bankmarketing.BankMarketingClassificationMain
 
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
Deprecated.
 
main(String[]) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
 
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.DisplaySpectralKMeans
 
main(String[]) - Static method in class org.apache.mahout.clustering.streaming.tools.ClusterQualitySummarizer
 
main(String[]) - Static method in class org.apache.mahout.clustering.syntheticcontrol.canopy.Job
Deprecated.
 
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.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
 
NUM_CATEGORIES - Static variable in class org.apache.mahout.classifier.sgd.bankmarketing.BankMarketingClassificationMain
 
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.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.classifier.sgd.bankmarketing - package org.apache.mahout.classifier.sgd.bankmarketing
 
org.apache.mahout.clustering.display - package org.apache.mahout.clustering.display
 
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.fuzzykmeans - package org.apache.mahout.clustering.syntheticcontrol.fuzzykmeans
 
org.apache.mahout.clustering.syntheticcontrol.kmeans - package org.apache.mahout.clustering.syntheticcontrol.kmeans
 
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
Deprecated.
 
paint(Graphics) - Method in class org.apache.mahout.clustering.display.DisplayClustering
 
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.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
Deprecated.
 
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
 
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.similarity.precompute.example.GroupLensDataModel
 
recommend(long, int) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingBooleanRecommender
 
recommend(long, int, boolean) - 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, IDRescorer, boolean) - 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, boolean) - 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, IDRescorer, boolean) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingRecommender
 
recommend(long, int) - Method in class org.apache.mahout.cf.taste.example.kddcup.track1.Track1Recommender
 
recommend(long, int, boolean) - 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, IDRescorer, boolean) - 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, boolean) - 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, IDRescorer, boolean) - 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.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
 
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.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
 
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
Deprecated.
 
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.
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.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.
TelephoneCall - Class in org.apache.mahout.classifier.sgd.bankmarketing
 
TelephoneCall(Iterable<String>, Iterable<String>) - Constructor for class org.apache.mahout.classifier.sgd.bankmarketing.TelephoneCall
 
TelephoneCallParser - Class in org.apache.mahout.classifier.sgd.bankmarketing
Parses semi-colon separated data as TelephoneCalls
TelephoneCallParser(String) - Constructor for class org.apache.mahout.classifier.sgd.bankmarketing.TelephoneCallParser
 
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.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.similarity.precompute.example.GroupLensDataModel
 
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.
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.

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
 
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