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

A

AbstractCandidateItemsStrategy - Class in org.apache.mahout.cf.taste.impl.recommender

Abstract base implementation for retrieving candidate items to recommend

AbstractCandidateItemsStrategy() - Constructor for class org.apache.mahout.cf.taste.impl.recommender.AbstractCandidateItemsStrategy

AbstractCluster - Class in org.apache.mahout.clustering

AbstractCluster() - Constructor for class org.apache.mahout.clustering.AbstractCluster

AbstractCluster(Vector, int) - Constructor for class org.apache.mahout.clustering.AbstractCluster

AbstractCluster(Vector, Vector, int) - Constructor for class org.apache.mahout.clustering.AbstractCluster

AbstractClusteringPolicy - Class in org.apache.mahout.clustering.iterator

AbstractClusteringPolicy() - Constructor for class org.apache.mahout.clustering.iterator.AbstractClusteringPolicy

AbstractDataModel - Class in org.apache.mahout.cf.taste.impl.model

Contains some features common to all implementations.

AbstractDataModel() - Constructor for class org.apache.mahout.cf.taste.impl.model.AbstractDataModel

AbstractDifferenceRecommenderEvaluator - Class in org.apache.mahout.cf.taste.impl.eval

Abstract superclass of a couple implementations, providing shared functionality.

AbstractDifferenceRecommenderEvaluator() - Constructor for class org.apache.mahout.cf.taste.impl.eval.AbstractDifferenceRecommenderEvaluator

AbstractDifferenceRecommenderEvaluator.PreferenceEstimateCallable - Class in org.apache.mahout.cf.taste.impl.eval

AbstractDifferenceRecommenderEvaluator.PreferenceEstimateCallable(Recommender, long, PreferenceArray, AtomicInteger) - Constructor for class org.apache.mahout.cf.taste.impl.eval.AbstractDifferenceRecommenderEvaluator.PreferenceEstimateCallable

AbstractFactorizer - Class in org.apache.mahout.cf.taste.impl.recommender.svd

base class for Factorizers, provides ID to index mapping

AbstractFactorizer(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.AbstractFactorizer

AbstractIDMigrator - Class in org.apache.mahout.cf.taste.impl.model

AbstractIDMigrator() - Constructor for class org.apache.mahout.cf.taste.impl.model.AbstractIDMigrator

AbstractItemSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity

AbstractItemSimilarity(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.AbstractItemSimilarity

AbstractJDBCComponent - Class in org.apache.mahout.cf.taste.impl.common.jdbc

A helper class with common elements for several JDBC-related components.

AbstractJDBCComponent() - Constructor for class org.apache.mahout.cf.taste.impl.common.jdbc.AbstractJDBCComponent

AbstractJDBCIDMigrator - Class in org.apache.mahout.cf.taste.impl.model

Implementation which stores the reverse long-to-String mapping in a database.

AbstractJDBCIDMigrator(DataSource, String, String) - Constructor for class org.apache.mahout.cf.taste.impl.model.AbstractJDBCIDMigrator

AbstractJob - Class in org.apache.mahout.common

Superclass of many Mahout Hadoop "jobs".

AbstractJob() - Constructor for class org.apache.mahout.common.AbstractJob

AbstractLongPrimitiveIterator - Class in org.apache.mahout.cf.taste.impl.common

AbstractLongPrimitiveIterator() - Constructor for class org.apache.mahout.cf.taste.impl.common.AbstractLongPrimitiveIterator

AbstractNaiveBayesClassifier - Class in org.apache.mahout.classifier.naivebayes

Class implementing the Naive Bayes Classifier Algorithm.

AbstractNaiveBayesClassifier(NaiveBayesModel) - Constructor for class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier

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

Generic definition of a 1 of n logistic regression classifier that returns probabilities in response to a feature vector.

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

AbstractParameter<T> - Class in org.apache.mahout.common.parameters

AbstractParameter(Class<T>, String, String, Configuration, T, String) - Constructor for class org.apache.mahout.common.parameters.AbstractParameter

AbstractRecommender - Class in org.apache.mahout.cf.taste.impl.recommender

AbstractRecommender(DataModel, CandidateItemsStrategy) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender

AbstractRecommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender

AbstractVectorClassifier - Class in org.apache.mahout.classifier

Defines the interface for classifiers that take a vector as input.

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

ABtDenseOutJob - Class in org.apache.mahout.math.hadoop.stochasticsvd

Computes ABt products, then first step of QR which is pushed down to the reducer.

ABtDenseOutJob.ABtMapper - Class in org.apache.mahout.math.hadoop.stochasticsvd

So, here, i preload A block into memory.

ABtDenseOutJob.ABtMapper() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.ABtMapper

ABtDenseOutJob.QRReducer - Class in org.apache.mahout.math.hadoop.stochasticsvd

QR first step pushed down to reducer.

ABtDenseOutJob.QRReducer() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.QRReducer

ABtJob - Class in org.apache.mahout.math.hadoop.stochasticsvd

Computes ABt products, then first step of QR which is pushed down to the reducer.

ABtJob.ABtMapper - Class in org.apache.mahout.math.hadoop.stochasticsvd

So, here, i preload A block into memory.

ABtJob.ABtMapper() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.ABtMapper

ABtJob.QRReducer - Class in org.apache.mahout.math.hadoop.stochasticsvd

QR first step pushed down to reducer.

ABtJob.QRReducer() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.QRReducer

accum - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.QRReducer

accum - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductCombiner

accum - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductReducer

accumDots(int, double, double[]) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.Omega

accumDots(int, double, Vector) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.Omega

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

This is a meta-learner that maintains a pool of ordinary OnlineLogisticRegression learners.

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

AdaptiveLogisticRegression(int, int, PriorFunction) - Constructor for class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression

Uses AdaptiveLogisticRegression.DEFAULT_THREAD_COUNT and AdaptiveLogisticRegression.DEFAULT_POOL_SIZE

AdaptiveLogisticRegression(int, int, PriorFunction, int, int) - Constructor for class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression

AdaptiveLogisticRegression.TrainingExample - Class in org.apache.mahout.classifier.sgd

AdaptiveLogisticRegression.TrainingExample(long, String, int, Vector) - Constructor for class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.TrainingExample

AdaptiveLogisticRegression.Wrapper - Class in org.apache.mahout.classifier.sgd

Provides a shim between the EP optimization stuff and the CrossFoldLearner.

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

AdaptiveLogisticRegression.Wrapper(int, int, PriorFunction) - Constructor for class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper

AdaptiveWordValueEncoder - Class in org.apache.mahout.vectorizer.encoders

Encodes words into vectors much as does WordValueEncoder while maintaining an adaptive dictionary of values seen so far.

AdaptiveWordValueEncoder(String) - Constructor for class org.apache.mahout.vectorizer.encoders.AdaptiveWordValueEncoder

add(long) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet

add(SimilarItems) - Method in class org.apache.mahout.cf.taste.impl.similarity.precompute.FileSimilarItemsWriter

add(SimilarItems) - Method in interface org.apache.mahout.cf.taste.similarity.precompute.SimilarItemsWriter

add(int[], int[]) - Static method in class org.apache.mahout.classifier.df.data.DataUtils

foreach i : array1[i] += array2[i]

add(int, double) - Method in class org.apache.mahout.classifier.evaluation.Auc

Adds a score to the AUC buffers.

add(int, int) - Method in class org.apache.mahout.classifier.evaluation.Auc

add(Integer) - Method in class org.apache.mahout.common.IntegerTuple

add an entry to the end of the list

add(String) - Method in class org.apache.mahout.common.StringTuple

add an entry to the end of the list

add(State<T, U>) - Method in class org.apache.mahout.ep.EvolutionaryProcess

add(Vector) - Method in class org.apache.mahout.math.neighborhood.BruteSearch

add(Vector) - Method in class org.apache.mahout.math.neighborhood.FastProjectionSearch

Add a new Vector to the Searcher that will be checked when getting the nearest neighbors.

add(Vector) - Method in class org.apache.mahout.math.neighborhood.LocalitySensitiveHashSearch

add(Vector) - Method in class org.apache.mahout.math.neighborhood.ProjectionSearch

Adds a WeightedVector into the set of projections for later searching.

add(Vector) - Method in class org.apache.mahout.math.neighborhood.Searcher

Add a new Vector to the Searcher that will be checked when getting the nearest neighbors.

addAll(long[]) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet

addAll(FastIDSet) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet

addAll(Iterable<? extends Vector>) - Method in class org.apache.mahout.math.neighborhood.Searcher

Adds all the data elements in the Searcher.

addAllMatrixSlices(Iterable<MatrixSlice>) - Method in class org.apache.mahout.math.neighborhood.Searcher

Adds all the data elements in the Searcher.

addAllMatrixSlicesAsWeightedVectors(Iterable<MatrixSlice>) - Method in class org.apache.mahout.math.neighborhood.Searcher

addDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverage

addDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverage

addDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev

addDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverage

addDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev

addDatum(double) - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverage

addDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage

addDatum(double, double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage

addDatum(double, double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverageAndStdDev

addDependency(Refreshable) - Method in class org.apache.mahout.cf.taste.impl.common.RefreshHelper

Add a dependency to be refreshed first when the encapsulating object does.

addFlag(String, String, String) - Method in class org.apache.mahout.common.AbstractJob

Add an option with no argument whose presence can be checked for using containsKey method on the map returned by AbstractJob.parseArguments(String[]);

addInputOption() - Method in class org.apache.mahout.common.AbstractJob

Add the default input directory option, '-i' which takes a directory name as an argument.

addInstance(String, ClassifierResult) - Method in class org.apache.mahout.classifier.ConfusionMatrix

addInstance(String, String) - Method in class org.apache.mahout.classifier.ConfusionMatrix

addInstance(double, double) - Method in class org.apache.mahout.classifier.RegressionResultAnalyzer

addInstance(String, ClassifierResult) - Method in class org.apache.mahout.classifier.ResultAnalyzer

addInteractionToVector(String, String, double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.InteractionValueEncoder

Adds a value to a vector.

addInteractionToVector(byte[], byte[], double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.InteractionValueEncoder

Adds a value to a vector.

addLayer(int, boolean, String) - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork

Deprecated.

Add a layer of neurons with specified size.

addModel(OnlineLogisticRegression) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner

addOption(String, String, String) - Method in class org.apache.mahout.common.AbstractJob

Add an option to the the set of options this job will parse when AbstractJob.parseArguments(String[]) is called.

addOption(String, String, String, boolean) - Method in class org.apache.mahout.common.AbstractJob

Add an option to the the set of options this job will parse when AbstractJob.parseArguments(String[]) is called.

addOption(String, String, String, String) - Method in class org.apache.mahout.common.AbstractJob

Add an option to the the set of options this job will parse when AbstractJob.parseArguments(String[]) is called.

addOption(Option) - Method in class org.apache.mahout.common.AbstractJob

Add an arbitrary option to the set of options this job will parse when AbstractJob.parseArguments(String[]) is called.

addOutputOption() - Method in class org.apache.mahout.common.AbstractJob

Add the default output directory option, '-o' which takes a directory name as an argument.

addPointToCanopies(Vector, Collection<Canopy>) - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer

Deprecated.

This is the same algorithm as the reference but inverted to iterate over existing canopies instead of the points.

addSample(int, String, double) - Method in class org.apache.mahout.math.stats.GlobalOnlineAuc

addSample(int, double) - Method in class org.apache.mahout.math.stats.GlobalOnlineAuc

addSample(int, String, double) - Method in class org.apache.mahout.math.stats.GroupedOnlineAuc

addSample(int, double) - Method in class org.apache.mahout.math.stats.GroupedOnlineAuc

addSample(int, String, double) - Method in interface org.apache.mahout.math.stats.OnlineAuc

addSample(int, double) - Method in interface org.apache.mahout.math.stats.OnlineAuc

addText(byte[]) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder

Adds text to the internal word counter, but delays converting it to vector form until flush is called.

addText(CharSequence) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder

Adds text to the internal word counter, but delays converting it to vector form until flush is called.

addToHistory(int, Vector) - Method in class org.apache.mahout.classifier.sgd.RankingGradient

addToVector(String, double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.AdaptiveWordValueEncoder

Adds a value to a vector.

addToVector(byte[], double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.ConstantValueEncoder

addToVector(byte[], double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.ContinuousValueEncoder

Adds a value to a vector.

addToVector(String, Vector) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder

Adds a value expressed in string form to a vector.

addToVector(byte[], Vector) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder

Adds a value expressed in byte array form to a vector.

addToVector(String, double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder

Adds a weighted value expressed in string form to a vector.

addToVector(byte[], double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder

addToVector(String, double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.InteractionValueEncoder

Adds a value to a vector.

addToVector(byte[], double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.InteractionValueEncoder

Adds a value to a vector.

addToVector(byte[], double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder

Adds a value to a vector after tokenizing it by splitting on non-alphanum characters.

addToVector(byte[], double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.WordValueEncoder

Adds a value to a vector.

adjust(int) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver

AFFINITY_DIMENSIONS - Static variable in class org.apache.mahout.clustering.spectral.Keys

AffinityMatrixInputJob - Class in org.apache.mahout.clustering.spectral

AffinityMatrixInputMapper - Class in org.apache.mahout.clustering.spectral

Handles reading the files representing the affinity matrix.

AffinityMatrixInputMapper() - Constructor for class org.apache.mahout.clustering.spectral.AffinityMatrixInputMapper

AffinityMatrixInputReducer - Class in org.apache.mahout.clustering.spectral

Tasked with taking each DistributedRowMatrix entry and collecting them into vectors corresponding to rows.

AffinityMatrixInputReducer() - Constructor for class org.apache.mahout.clustering.spectral.AffinityMatrixInputReducer

age(double, double, double) - Method in class org.apache.mahout.classifier.sgd.ElasticBandPrior

age(double, double, double) - Method in class org.apache.mahout.classifier.sgd.L1

age(double, double, double) - Method in class org.apache.mahout.classifier.sgd.L2

age(double, double, double) - Method in interface org.apache.mahout.classifier.sgd.PriorFunction

Applies the regularization to a coefficient.

age(double, double, double) - Method in class org.apache.mahout.classifier.sgd.TPrior

age(double, double, double) - Method in class org.apache.mahout.classifier.sgd.UniformPrior

aggregate(double, double) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CosineSimilarity

aggregate(double, double) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CountbasedMeasure

aggregate(double, double) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.EuclideanDistanceSimilarity

aggregate(double, double) - Method in interface org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.VectorSimilarityMeasure

AggregateAndRecommendReducer - Class in org.apache.mahout.cf.taste.hadoop.item

computes prediction values for each user

AggregateAndRecommendReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.AggregateAndRecommendReducer

allItemFeatures() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization

allSimilarItemIDs(long) - Method in class org.apache.mahout.cf.taste.impl.similarity.AbstractItemSimilarity

allSimilarItemIDs(long) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingItemSimilarity

allSimilarItemIDs(long) - Method in class org.apache.mahout.cf.taste.impl.similarity.file.FileItemSimilarity

allSimilarItemIDs(long) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity

allSimilarItemIDs(long) - Method in interface org.apache.mahout.cf.taste.similarity.ItemSimilarity

AllSimilarItemsCandidateItemsStrategy - Class in org.apache.mahout.cf.taste.impl.recommender

returns the result of ItemSimilarity.allSimilarItemIDs(long) as candidate items

AllSimilarItemsCandidateItemsStrategy(ItemSimilarity) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.AllSimilarItemsCandidateItemsStrategy

AllUnknownItemsCandidateItemsStrategy - Class in org.apache.mahout.cf.taste.impl.recommender

AllUnknownItemsCandidateItemsStrategy() - Constructor for class org.apache.mahout.cf.taste.impl.recommender.AllUnknownItemsCandidateItemsStrategy

allUserFeatures() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization

alpha(double) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner

alpha(double) - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression

Chainable configuration option.

ALPHA_I - Static variable in class org.apache.mahout.classifier.naivebayes.training.ThetaMapper

alphaI() - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel

alphaI() - Method in class org.apache.mahout.classifier.naivebayes.training.ComplementaryThetaTrainer

ALSWRFactorizer - Class in org.apache.mahout.cf.taste.impl.recommender.svd

factorizes the rating matrix using "Alternating-Least-Squares with Weighted-λ-Regularization" as described in "Large-scale Collaborative Filtering for the Netflix Prize" also supports the implicit feedback variant of this approach as described in "Collaborative Filtering for Implicit Feedback Datasets" available at http://research.yahoo.com/pub/2433

ALSWRFactorizer(DataModel, int, double, int, boolean, double, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.ALSWRFactorizer

ALSWRFactorizer(DataModel, int, double, int, boolean, double) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.ALSWRFactorizer

ALSWRFactorizer(DataModel, int, double, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.ALSWRFactorizer

ANALYZER_CLASS - Static variable in class org.apache.mahout.vectorizer.DocumentProcessor

ANALYZER_NAME - Static variable in class org.apache.mahout.vectorizer.EncodingMapper

ANALYZER_NAME_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator

analyzerOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator

Returns a default command line option for specifying a Lucene analyzer class

AnalyzerUtils - Class in org.apache.mahout.common.lucene

appendRow(double[]) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver

api for row-by-row addition

apply(String, int, Vector, AbstractVectorClassifier) - Method in class org.apache.mahout.classifier.sgd.DefaultGradient

Provides a default gradient computation useful for logistic regression.

apply(String, int, Vector, AbstractVectorClassifier) - Method in interface org.apache.mahout.classifier.sgd.Gradient

apply(String, int, Vector, AbstractVectorClassifier) - Method in class org.apache.mahout.classifier.sgd.MixedGradient

apply(String, int, Vector, AbstractVectorClassifier) - Method in class org.apache.mahout.classifier.sgd.RankingGradient

apply(T, double[]) - Method in interface org.apache.mahout.ep.EvolutionaryProcess.Function

apply(double) - Method in class org.apache.mahout.ep.Mapping.Exponential

apply(double) - Method in class org.apache.mahout.ep.Mapping.Identity

apply(double) - Method in class org.apache.mahout.ep.Mapping.LogLimit

apply(double) - Method in class org.apache.mahout.ep.Mapping.SoftLimit

applyGivensInPlace(double, double, double[], double[], int, int) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver

applyGivensInPlace(double, double, Vector, Vector, int, int) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver

applyGivensInPlace(double, double, int, int, Matrix) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver

argMap - Variable in class org.apache.mahout.common.AbstractJob

asFormatString(String[]) - Method in class org.apache.mahout.clustering.AbstractCluster

asFormatString() - Method in class org.apache.mahout.clustering.canopy.Canopy

Deprecated.

asFormatString(String[]) - Method in interface org.apache.mahout.clustering.Cluster

Produce a custom, human-friendly, printable representation of the Cluster.

asFormatString() - Method in class org.apache.mahout.clustering.fuzzykmeans.SoftCluster

asFormatString() - Method in class org.apache.mahout.clustering.kmeans.Kluster

asJson(String[]) - Method in class org.apache.mahout.clustering.AbstractCluster

asJson(String[]) - Method in interface org.apache.mahout.clustering.Cluster

Produce a JSON representation of the Cluster.

assign(HmmModel) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel

Assign the content of another HMM model to this one

asString(String) - Method in class org.apache.mahout.vectorizer.encoders.ConstantValueEncoder

asString(String) - Method in class org.apache.mahout.vectorizer.encoders.ContinuousValueEncoder

Converts a value into a form that would help a human understand the internals of how the value is being interpreted.

asString(String) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder

Converts a value into a form that would help a human understand the internals of how the value is being interpreted.

asString(String) - Method in class org.apache.mahout.vectorizer.encoders.InteractionValueEncoder

Converts a value into a form that would help a human understand the internals of how the value is being interpreted.

asString(String) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder

Converts a value into a form that would help a human understand the internals of how the value is being interpreted.

asString(String) - Method in class org.apache.mahout.vectorizer.encoders.WordValueEncoder

Converts a value into a form that would help a human understand the internals of how the value is being interpreted.

Auc - Class in org.apache.mahout.classifier.evaluation

Computes AUC and a few other accuracy statistics without storing huge amounts of data.

Auc(double) - Constructor for class org.apache.mahout.classifier.evaluation.Auc

Allocates a new data-structure for accumulating information about AUC and a few other accuracy measures.

Auc() - Constructor for class org.apache.mahout.classifier.evaluation.Auc

auc() - Method in class org.apache.mahout.classifier.evaluation.Auc

Computes the AUC of points seen so far.

auc() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression

What is the AUC for the current best member of the population.

auc() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner

auc() - Method in class org.apache.mahout.math.stats.GlobalOnlineAuc

auc() - Method in class org.apache.mahout.math.stats.GroupedOnlineAuc

auc() - Method in interface org.apache.mahout.math.stats.OnlineAuc

AverageAbsoluteDifferenceRecommenderEvaluator - Class in org.apache.mahout.cf.taste.impl.eval

A RecommenderEvaluator which computes the average absolute difference between predicted and actual ratings for users.

AverageAbsoluteDifferenceRecommenderEvaluator() - Constructor for class org.apache.mahout.cf.taste.impl.eval.AverageAbsoluteDifferenceRecommenderEvaluator

AveragingPreferenceInferrer - Class in org.apache.mahout.cf.taste.impl.similarity

Implementations of this interface compute an inferred preference for a user and an item that the user has not expressed any preference for.

AveragingPreferenceInferrer(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.AveragingPreferenceInferrer

B

BACKFILL_PERPLEXITY - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver

backwardAlgorithm(HmmModel, int[], boolean) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmAlgorithms

External function to compute a matrix of beta factors

Bagging - Class in org.apache.mahout.classifier.df

Builds a tree using bagging

Bagging(TreeBuilder, Data) - Constructor for class org.apache.mahout.classifier.df.Bagging

bagging(Random) - Method in class org.apache.mahout.classifier.df.data.Data

if data has N cases, sample N cases at random -but with replacement.

bagging(Random, boolean[]) - Method in class org.apache.mahout.classifier.df.data.Data

if data has N cases, sample N cases at random -but with replacement.

BallKMeans - Class in org.apache.mahout.clustering.streaming.cluster

Implements a ball k-means algorithm for weighted vectors with probabilistic seeding similar to k-means++.

BallKMeans(UpdatableSearcher, int, int) - Constructor for class org.apache.mahout.clustering.streaming.cluster.BallKMeans

BallKMeans(UpdatableSearcher, int, int, boolean, int) - Constructor for class org.apache.mahout.clustering.streaming.cluster.BallKMeans

BallKMeans(UpdatableSearcher, int, int, double, boolean, boolean, double, int) - Constructor for class org.apache.mahout.clustering.streaming.cluster.BallKMeans

BasicStats - Class in org.apache.mahout.math.hadoop.stats

Methods for calculating basic stats (mean, variance, stdDev, etc.) in map/reduce

BASIS_PREFIX - Static variable in class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState

BatchItemSimilarities - Class in org.apache.mahout.cf.taste.similarity.precompute

BatchItemSimilarities(ItemBasedRecommender, int) - Constructor for class org.apache.mahout.cf.taste.similarity.precompute.BatchItemSimilarities

batchTrain(Map<Vector, Vector>, boolean, int) - Method in class org.apache.mahout.clustering.lda.cvb.ModelTrainer

BaumWelchTrainer - Class in org.apache.mahout.classifier.sequencelearning.hmm

A class for EM training of HMM from console

BayesTestMapper - Class in org.apache.mahout.classifier.naivebayes.test

Run the input through the model and see if it matches.

BayesTestMapper() - Constructor for class org.apache.mahout.classifier.naivebayes.test.BayesTestMapper

BayesUtils - Class in org.apache.mahout.classifier.naivebayes

beta - Variable in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression

biasLearningRate - Variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer

biasReg - Variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer

BLOCKHEIGHT - Static variable in class org.apache.mahout.clustering.spectral.kmeans.SpectralKMeansDriver

blockHeight - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.QRReducer

blockHeight - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.QRReducer

blockHeight - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductCombiner

blockHeight - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductReducer

BOOLEAN_DATA - Static variable in class org.apache.mahout.cf.taste.hadoop.item.RecommenderJob

BooleanItemPreferenceArray - Class in org.apache.mahout.cf.taste.impl.model

Like BooleanUserPreferenceArray but stores preferences for one item (all item IDs the same) rather than one user.

BooleanItemPreferenceArray(int) - Constructor for class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray

BooleanItemPreferenceArray(List<? extends Preference>, boolean) - Constructor for class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray

BooleanPreference - Class in org.apache.mahout.cf.taste.impl.model

Encapsulates a simple boolean "preference" for an item whose value does not matter (is fixed at 1.0).

BooleanPreference(long, long) - Constructor for class org.apache.mahout.cf.taste.impl.model.BooleanPreference

BooleanUserPreferenceArray - Class in org.apache.mahout.cf.taste.impl.model

Like GenericUserPreferenceArray but stores, conceptually, BooleanPreference objects which have no associated preference value.

BooleanUserPreferenceArray(int) - Constructor for class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray

BooleanUserPreferenceArray(List<? extends Preference>) - Constructor for class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray

BOTTOM_LEVEL_CLUSTER_DIRECTORY - Static variable in class org.apache.mahout.clustering.topdown.PathDirectory

BruteSearch - Class in org.apache.mahout.math.neighborhood

Search for nearest neighbors using a complete search (i.e.

BruteSearch(DistanceMeasure) - Constructor for class org.apache.mahout.math.neighborhood.BruteSearch

BtJob - Class in org.apache.mahout.math.hadoop.stochasticsvd

Bt job.

BtJob.BtMapper - Class in org.apache.mahout.math.hadoop.stochasticsvd

BtJob.BtMapper() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.BtMapper

BtJob.OuterProductCombiner - Class in org.apache.mahout.math.hadoop.stochasticsvd

BtJob.OuterProductCombiner() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductCombiner

BtJob.OuterProductReducer - Class in org.apache.mahout.math.hadoop.stochasticsvd

BtJob.OuterProductReducer() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductReducer

build(Random) - Method in class org.apache.mahout.classifier.df.Bagging

Builds one tree

build(Random, Data) - Method in class org.apache.mahout.classifier.df.builder.DecisionTreeBuilder

build(Random, Data) - Method in class org.apache.mahout.classifier.df.builder.DefaultTreeBuilder

build(Random, Data) - Method in interface org.apache.mahout.classifier.df.builder.TreeBuilder

Builds a Decision tree using the training data

build(int) - Method in class org.apache.mahout.classifier.df.mapreduce.Builder

build(int) - Method in class org.apache.mahout.classifier.df.ref.SequentialBuilder

buildClusters(Configuration, Path, Path, DistanceMeasure, double, double, int, boolean) - Static method in class org.apache.mahout.clustering.canopy.CanopyDriver

Deprecated.

Convenience method for backwards compatibility

buildClusters(Configuration, Path, Path, DistanceMeasure, double, double, double, double, int, boolean) - Static method in class org.apache.mahout.clustering.canopy.CanopyDriver

Deprecated.

Build a directory of Canopy clusters from the input vectors and other arguments.

buildClusters(Configuration, Path, Path, Path, double, int, float, boolean) - Static method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver

Iterate over the input vectors to produce cluster directories for each iteration

buildClusters(Configuration, Path, Path, Path, int, String, boolean) - Static method in class org.apache.mahout.clustering.kmeans.KMeansDriver

Iterate over the input vectors to produce cluster directories for each iteration

buildDataModel(FastByIDMap<PreferenceArray>) - Method in interface org.apache.mahout.cf.taste.eval.DataModelBuilder

Builds a DataModel implementation to be used in an evaluation, given training data.

buildDirList(FileSystem, FileStatus) - Static method in class org.apache.mahout.common.HadoopUtil

Builds a comma-separated list of input splits

buildDirList(FileSystem, FileStatus, PathFilter) - Static method in class org.apache.mahout.common.HadoopUtil

Builds a comma-separated list of input splits

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

Base class for Mapred DecisionForest builders.

Builder(TreeBuilder, Path, Path, Long, Configuration) - Constructor for class org.apache.mahout.classifier.df.mapreduce.Builder

buildFromEigens(Configuration, Path, Path, int, DistanceMeasure) - Static method in class org.apache.mahout.clustering.spectral.kmeans.EigenSeedGenerator

buildModel() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel

buildOption(String, String, String, boolean, boolean, String) - Static method in class org.apache.mahout.common.AbstractJob

Build an option with the given parameters.

buildOption(String, String, String, boolean, int, int, boolean, String) - Static method in class org.apache.mahout.common.AbstractJob

buildRandom(Configuration, Path, Path, int, DistanceMeasure) - Static method in class org.apache.mahout.clustering.kmeans.RandomSeedGenerator

buildRandom(Configuration, Path, Path, int, DistanceMeasure, Long) - Static method in class org.apache.mahout.clustering.kmeans.RandomSeedGenerator

buildRecommender(DataModel) - Method in interface org.apache.mahout.cf.taste.eval.RecommenderBuilder

Builds a Recommender implementation to be evaluated, using the given DataModel.

buildRefreshed(Collection<Refreshable>) - Static method in class org.apache.mahout.cf.taste.impl.common.RefreshHelper

Creates a new and empty Collection if the method parameter is null.

buildTransposeJob(Path, Path, int) - Static method in class org.apache.mahout.math.hadoop.TransposeJob

buildTransposeJob(Configuration, Path, Path, int) - Static method in class org.apache.mahout.math.hadoop.TransposeJob

bytesForString(String) - Static method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder

ByValueRecommendedItemComparator - Class in org.apache.mahout.cf.taste.impl.recommender

Defines a natural ordering from most-preferred item (highest value) to least-preferred.

ByValueRecommendedItemComparator() - Constructor for class org.apache.mahout.cf.taste.impl.recommender.ByValueRecommendedItemComparator

C

Cache<K,V> - Class in org.apache.mahout.cf.taste.impl.common

An efficient Map-like class which caches values for keys.

Cache(Retriever<? super K, ? extends V>) - Constructor for class org.apache.mahout.cf.taste.impl.common.Cache

Creates a new cache based on the given Retriever.

Cache(Retriever<? super K, ? extends V>, int) - Constructor for class org.apache.mahout.cf.taste.impl.common.Cache

Creates a new cache based on the given Retriever and with given maximum size.

Cache.MatchPredicate<T> - Interface in org.apache.mahout.cf.taste.impl.common

Used by {#link #removeKeysMatching(Object)} to decide things that are matching.

cacheFiles(Path, Configuration) - Static method in class org.apache.mahout.common.HadoopUtil

CachingContinuousValueEncoder - Class in org.apache.mahout.vectorizer.encoders

CachingContinuousValueEncoder(String, int) - Constructor for class org.apache.mahout.vectorizer.encoders.CachingContinuousValueEncoder

CachingCVB0Mapper - Class in org.apache.mahout.clustering.lda.cvb

Run ensemble learning via loading the ModelTrainer with two TopicModel instances: one from the previous iteration, the other empty.

CachingCVB0Mapper() - Constructor for class org.apache.mahout.clustering.lda.cvb.CachingCVB0Mapper

CachingCVB0PerplexityMapper - Class in org.apache.mahout.clustering.lda.cvb

CachingCVB0PerplexityMapper() - Constructor for class org.apache.mahout.clustering.lda.cvb.CachingCVB0PerplexityMapper

CachingCVB0PerplexityMapper.Counters - Enum in org.apache.mahout.clustering.lda.cvb

Hadoop counters for CachingCVB0PerplexityMapper, to aid in debugging.

CachingItemSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity

Caches the results from an underlying ItemSimilarity implementation.

CachingItemSimilarity(ItemSimilarity, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.CachingItemSimilarity

Creates this on top of the given ItemSimilarity.

CachingItemSimilarity(ItemSimilarity, int) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.CachingItemSimilarity

Creates this on top of the given ItemSimilarity.

CachingRecommender - Class in org.apache.mahout.cf.taste.impl.recommender

A Recommender which caches the results from another Recommender in memory.

CachingRecommender(Recommender) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender

CachingStaticWordValueEncoder - Class in org.apache.mahout.vectorizer.encoders

CachingStaticWordValueEncoder(String, int) - Constructor for class org.apache.mahout.vectorizer.encoders.CachingStaticWordValueEncoder

CachingTextValueEncoder - Class in org.apache.mahout.vectorizer.encoders

CachingTextValueEncoder(String, int) - Constructor for class org.apache.mahout.vectorizer.encoders.CachingTextValueEncoder

CachingUserNeighborhood - Class in org.apache.mahout.cf.taste.impl.neighborhood

A caching wrapper around an underlying UserNeighborhood implementation.

CachingUserNeighborhood(UserNeighborhood, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.neighborhood.CachingUserNeighborhood

CachingUserSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity

Caches the results from an underlying UserSimilarity implementation.

CachingUserSimilarity(UserSimilarity, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.CachingUserSimilarity

Creates this on top of the given UserSimilarity.

CachingUserSimilarity(UserSimilarity, int) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.CachingUserSimilarity

Creates this on top of the given UserSimilarity.

CachingValueEncoder - Class in org.apache.mahout.vectorizer.encoders

Provides basic hashing semantics for encoders where the probe locations depend only on the name of the variable.

CachingValueEncoder(String, int) - Constructor for class org.apache.mahout.vectorizer.encoders.CachingValueEncoder

calcRelativeFilePath(Configuration, Path) - Static method in class org.apache.mahout.common.HadoopUtil

calculate(int, int, int, int) - Method in class org.apache.mahout.vectorizer.TF

calculate(int, int, int, int) - Method in class org.apache.mahout.vectorizer.TFIDF

calculate(int, int, int, int) - Method in interface org.apache.mahout.vectorizer.Weight

Experimental

calculateConvergence(double) - Method in class org.apache.mahout.clustering.kmeans.Kluster

calculateDerivativeValue(double, double) - Method in interface org.apache.mahout.clustering.kernel.IKernelProfile

calculateDerivativeValue(double, double) - Method in class org.apache.mahout.clustering.kernel.TriangularKernelProfile

calculateDF(Path, Path, Configuration, int) - Static method in class org.apache.mahout.vectorizer.tfidf.TFIDFConverter

Calculates the document frequencies of all terms from the input set of vectors in SequenceFile format.

calculatePerplexity(VectorIterable, VectorIterable) - Method in class org.apache.mahout.clustering.lda.cvb.ModelTrainer

calculatePerplexity(VectorIterable, VectorIterable, double) - Method in class org.apache.mahout.clustering.lda.cvb.ModelTrainer

calculatePerplexity(Vector, Vector, int) - Method in class org.apache.mahout.clustering.lda.cvb.ModelTrainer

call() - Method in class org.apache.mahout.cf.taste.impl.eval.AbstractDifferenceRecommenderEvaluator.PreferenceEstimateCallable

call() - Method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansThread

CandidateItemsStrategy - Interface in org.apache.mahout.cf.taste.recommender

Used to retrieve all items that could possibly be recommended to the user

Canopy - Class in org.apache.mahout.clustering.canopy

Deprecated.

Canopy() - Constructor for class org.apache.mahout.clustering.canopy.Canopy

Deprecated.

Used for deserialization as a writable

Canopy(Vector, int, DistanceMeasure) - Constructor for class org.apache.mahout.clustering.canopy.Canopy

Deprecated.

Create a new Canopy containing the given point and canopyId

CanopyClusterer - Class in org.apache.mahout.clustering.canopy

Deprecated.

CanopyClusterer(DistanceMeasure, double, double) - Constructor for class org.apache.mahout.clustering.canopy.CanopyClusterer

Deprecated.

CanopyClusteringPolicy - Class in org.apache.mahout.clustering.iterator

Deprecated.

CanopyClusteringPolicy() - Constructor for class org.apache.mahout.clustering.iterator.CanopyClusteringPolicy

Deprecated.

CanopyConfigKeys - Class in org.apache.mahout.clustering.canopy

Deprecated.

canopyCovers(Canopy, Vector) - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer

Deprecated.

Return if the point is covered by the canopy

CanopyDriver - Class in org.apache.mahout.clustering.canopy

Deprecated.

CanopyDriver() - Constructor for class org.apache.mahout.clustering.canopy.CanopyDriver

Deprecated.

CanopyReducer - Class in org.apache.mahout.clustering.canopy

Deprecated.

CanopyReducer() - Constructor for class org.apache.mahout.clustering.canopy.CanopyReducer

Deprecated.

capEstimate(float) - Method in class org.apache.mahout.cf.taste.impl.recommender.EstimatedPreferenceCapper

capToMaxValue(float) - Method in class org.apache.mahout.cf.taste.hadoop.MutableRecommendedItem

CARDINALITY - Static variable in class org.apache.mahout.vectorizer.EncodingMapper

castVectorsToCentroids(Iterable<Vector>) - Static method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansUtilsMR

Returns an Iterable of Centroid from an Iterable of Vector by either casting each Vector to Centroid (if the instance extends Centroid) or create a new Centroid based on that Vector.

CategoricalNode - Class in org.apache.mahout.classifier.df.node

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

CategoricalNode(int, double[], Node[]) - Constructor for class org.apache.mahout.classifier.df.node.CategoricalNode

CentroidWritable - Class in org.apache.mahout.clustering.streaming.mapreduce

CentroidWritable() - Constructor for class org.apache.mahout.clustering.streaming.mapreduce.CentroidWritable

CentroidWritable(Centroid) - Constructor for class org.apache.mahout.clustering.streaming.mapreduce.CentroidWritable

centroidWritablesToList(Iterable<CentroidWritable>) - Static method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansReducer

CF_KEY - Static variable in class org.apache.mahout.clustering.canopy.CanopyConfigKeys

Deprecated.

changeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverage

changeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverage

changeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev

changeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverage

changeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev

changeDatum(double) - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverage

changeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage

changeDatum(double, double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage

changeDatum(double, double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverageAndStdDev

ChebyshevDistanceMeasure - Class in org.apache.mahout.common.distance

This class implements a "Chebyshev distance" metric by finding the maximum difference between each coordinate.

ChebyshevDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.ChebyshevDistanceMeasure

checkNotNullAndLog(String, Object) - Static method in class org.apache.mahout.cf.taste.impl.common.jdbc.AbstractJDBCComponent

checkNotNullAndLog(String, Object[]) - Static method in class org.apache.mahout.cf.taste.impl.common.jdbc.AbstractJDBCComponent

choose2(double) - Static method in class org.apache.mahout.clustering.ClusteringUtils

CHOOSE_THRESHOLD - Static variable in class org.apache.mahout.cf.taste.impl.eval.GenericRecommenderIRStatsEvaluator

Pass as "relevanceThreshold" argument to GenericRecommenderIRStatsEvaluator.evaluate(RecommenderBuilder, DataModelBuilder, DataModel, IDRescorer, int, double, double) to have it attempt to compute a reasonable threshold.

CIMapper - Class in org.apache.mahout.clustering.iterator

CIMapper() - Constructor for class org.apache.mahout.clustering.iterator.CIMapper

CIReducer - Class in org.apache.mahout.clustering.iterator

CIReducer() - Constructor for class org.apache.mahout.clustering.iterator.CIReducer

CityBlockSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity

Implementation of City Block distance (also known as Manhattan distance) - the absolute value of the difference of each direction is summed.

CityBlockSimilarity(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.CityBlockSimilarity

CityBlockSimilarity - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence.measures

CityBlockSimilarity() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CityBlockSimilarity

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

Mapreduce implementation that classifies the Input data using a previousely built decision forest

Classifier(Path, Path, Path, Path, Configuration) - Constructor for class org.apache.mahout.classifier.df.mapreduce.Classifier

Classifier.CMapper - Class in org.apache.mahout.classifier.df.mapreduce

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

ClassifierResult - Class in org.apache.mahout.classifier

Result of a document classification.

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

ClassifierResult(String, double) - Constructor for class org.apache.mahout.classifier.ClassifierResult

ClassifierResult(String) - Constructor for class org.apache.mahout.classifier.ClassifierResult

ClassifierResult(String, double, double) - Constructor for class org.apache.mahout.classifier.ClassifierResult

classify(Vector) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier

Compute and return a vector containing n-1 scores, where n is equal to numCategories(), given an input vector instance.

classify(Matrix) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier

Returns n-1 probabilities, one for each categories 1 through n-1, for each row of a matrix, where n is equal to numCategories().

classify(Data, double[][]) - Method in class org.apache.mahout.classifier.df.DecisionForest

Classifies the data and calls callback for each classification

classify(Dataset, Random, Instance) - Method in class org.apache.mahout.classifier.df.DecisionForest

predicts the label for the instance

classify(Instance) - Method in class org.apache.mahout.classifier.df.node.CategoricalNode

classify(Instance) - Method in class org.apache.mahout.classifier.df.node.Leaf

classify(Instance) - Method in class org.apache.mahout.classifier.df.node.Node

predicts the label for the instance

classify(Instance) - Method in class org.apache.mahout.classifier.df.node.NumericalNode

classify(Vector) - Method in class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier

Unsupported method.

classify(Vector) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression

Returns n-1 probabilities, one for each category but the 0-th.

classify(Vector) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner

classify(Vector) - Method in class org.apache.mahout.classifier.sgd.GradientMachine

classify(Vector) - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive

classify(Vector) - Method in class org.apache.mahout.clustering.classify.ClusterClassifier

classify(Vector, ClusterClassifier) - Method in class org.apache.mahout.clustering.iterator.AbstractClusteringPolicy

classify(Vector, ClusterClassifier) - Method in interface org.apache.mahout.clustering.iterator.ClusteringPolicy

Classify the data vector given the classifier's models

classify(Vector, ClusterClassifier) - Method in class org.apache.mahout.clustering.iterator.FuzzyKMeansClusteringPolicy

classifyFull(Vector) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier

Computes and returns a vector containing n scores, where n is numCategories(), given an input vector instance.

classifyFull(Vector, Vector) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier

Computes and returns a vector containing n scores, where n is numCategories(), given an input vector instance.

classifyFull(Matrix) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier

Returns a matrix where the rows of the matrix each contain n probabilities, one for each category.

classifyFull(Vector) - Method in class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier

classifyFull(Vector, Vector) - Method in class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier

classifyNoLink(Vector) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier

Compute and return a vector of scores before applying the inverse link function.

classifyNoLink(Vector) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression

classifyNoLink(Vector) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner

classifyNoLink(Vector) - Method in class org.apache.mahout.classifier.sgd.GradientMachine

classifyNoLink(Vector) - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive

classifyScalar(Vector) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier

Classifies a vector in the special case of a binary classifier where AbstractVectorClassifier.classify(Vector) would return a vector with only one element.

classifyScalar(Matrix) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier

Returns a vector of probabilities of category 1, one for each row of a matrix.

classifyScalar(Vector) - Method in class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier

Unsupported method.

classifyScalar(Vector) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression

Returns a single scalar probability in the case where we have two categories.

classifyScalar(Vector) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner

classifyScalar(Vector) - Method in class org.apache.mahout.classifier.sgd.GradientMachine

classifyScalar(Vector) - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive

classifyScalar(Vector) - Method in class org.apache.mahout.clustering.classify.ClusterClassifier

classifyScalarNoLink(Vector) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression

ClassParameter - Class in org.apache.mahout.common.parameters

ClassParameter(String, String, Configuration, Class<?>, String) - Constructor for class org.apache.mahout.common.parameters.ClassParameter

ClassUtils - Class in org.apache.mahout.common

CLEAN_EIGENVECTORS - Static variable in class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob

Deprecated.

cleanup(Mapper<LongWritable, Text, TreeID, MapredOutput>.Context) - Method in class org.apache.mahout.classifier.df.mapreduce.partial.Step1Mapper

cleanup(Mapper<IntWritable, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.training.ThetaMapper

cleanup(Mapper<IntWritable, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.training.WeightsMapper

cleanup(Mapper<WritableComparable<?>, VectorWritable, IntWritable, ClusterWritable>.Context) - Method in class org.apache.mahout.clustering.iterator.CIMapper

cleanup(Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.lda.cvb.CachingCVB0Mapper

cleanup(Mapper<IntWritable, VectorWritable, DoubleWritable, DoubleWritable>.Context) - Method in class org.apache.mahout.clustering.lda.cvb.CachingCVB0PerplexityMapper

cleanup(Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.lda.cvb.CVB0DocInferenceMapper

cleanup(Mapper<Writable, VectorWritable, IntWritable, CentroidWritable>.Context) - Method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansMapper

cleanup(Mapper<Writable, VectorWritable, NullWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.MatrixColumnMeansJob.MatrixColumnMeansMapper

The column-wise sum is written at the cleanup stage.

cleanup(Mapper<IntWritable, VectorWritable, NullWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.CountObservationsMapper

cleanup(Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.VectorNormMapper

cleanup(Mapper<Writable, VectorWritable, SplitPartitionedWritable, DenseBlockWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.ABtMapper

cleanup(Reducer<SplitPartitionedWritable, DenseBlockWritable, SplitPartitionedWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.QRReducer

cleanup(Mapper<Writable, VectorWritable, SplitPartitionedWritable, SparseRowBlockWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.ABtMapper

cleanup(Reducer<SplitPartitionedWritable, SparseRowBlockWritable, SplitPartitionedWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.QRReducer

cleanup(Mapper<Writable, VectorWritable, LongWritable, SparseRowBlockWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.BtMapper

cleanup(Reducer<Writable, SparseRowBlockWritable, Writable, SparseRowBlockWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductCombiner

cleanup(Reducer<LongWritable, SparseRowBlockWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductReducer

cleanup(Mapper<Writable, VectorWritable, SplitPartitionedWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.QJob.QMapper

cleanup() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRFirstStep

cleanup(Mapper<Writable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.YtYJob.YtYMapper

cleanup(Reducer<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.YtYJob.YtYReducer

cleanup(Mapper<T, VectorWritable, NullWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesSquaredMapper

clear() - Method in class org.apache.mahout.cf.taste.impl.common.Cache

Clears the cache.

clear() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap

clear() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet

clear() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap

clear(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender

Clears cached recommendations for the given user.

clear() - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender

Clears all cached recommendations.

clear() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SparseRowBlockWritable

clear() - Method in class org.apache.mahout.math.neighborhood.BruteSearch

clear() - Method in class org.apache.mahout.math.neighborhood.FastProjectionSearch

clear() - Method in class org.apache.mahout.math.neighborhood.LocalitySensitiveHashSearch

clear() - Method in class org.apache.mahout.math.neighborhood.ProjectionSearch

clear() - Method in class org.apache.mahout.math.neighborhood.Searcher

clear() - Method in class org.apache.mahout.math.neighborhood.UpdatableSearcher

clearCacheForItem(long) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingItemSimilarity

clearCacheForUser(long) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingUserSimilarity

clearTempPrefs(long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel

Clears temporary preferences for a given anonymous user.

clearTempPrefs() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel

clone() - Method in class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable

clone() - Method in class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable

clone() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap

clone() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet

clone() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap

clone() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray

clone() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray

clone() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray

clone() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray

clone() - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray

clone() - Method in class org.apache.mahout.classifier.df.data.Data

clone() - Method in class org.apache.mahout.classifier.df.mapreduce.MapredOutput

clone() - Method in class org.apache.mahout.classifier.df.mapreduce.partial.TreeID

clone() - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel

Get a copy of this model

clone() - Method in class org.apache.mahout.common.IntPairWritable

close() - Method in class org.apache.mahout.cf.taste.impl.similarity.precompute.FileSimilarItemsWriter

close() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader

close() - Method in class org.apache.mahout.classifier.mlp.MultilayerPerceptron

Deprecated.

close() - Method in interface org.apache.mahout.classifier.OnlineLearner

Prepares the classifier for classification and deallocates any temporary data structures.

close() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression

close() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression

close() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner

close() - Method in class org.apache.mahout.classifier.sgd.GradientMachine

close() - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive

close() - Method in class org.apache.mahout.clustering.classify.ClusterClassifier

close(ClusterClassifier) - Method in class org.apache.mahout.clustering.iterator.AbstractClusteringPolicy

close(ClusterClassifier) - Method in interface org.apache.mahout.clustering.iterator.ClusteringPolicy

Close the policy using the classifier's models

close(ClusterClassifier) - Method in class org.apache.mahout.clustering.iterator.FuzzyKMeansClusteringPolicy

close(ClusterClassifier) - Method in class org.apache.mahout.clustering.iterator.KMeansClusteringPolicy

close() - Method in class org.apache.mahout.common.iterator.FileLineIterator

close() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirIterator

close() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirValueIterator

close() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileIterator

close() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileValueIterator

close() - Method in class org.apache.mahout.ep.EvolutionaryProcess

close() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRFirstStep

close() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRLastStep

close() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SparseRowBlockAccumulator

closeables - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductCombiner

closeables - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.OuterProductReducer

Cluster - Interface in org.apache.mahout.clustering

Implementations of this interface have a printable representation and certain attributes that are common across all clustering implementations

cluster(List<? extends WeightedVector>) - Method in class org.apache.mahout.clustering.streaming.cluster.BallKMeans

Clusters the datapoints in the list doing either random seeding of the centroids or k-means++.

cluster(Matrix) - Method in class org.apache.mahout.clustering.streaming.cluster.StreamingKMeans

Cluster the rows of a matrix, treating them as Centroids with weight 1.

cluster(Iterable<Centroid>) - Method in class org.apache.mahout.clustering.streaming.cluster.StreamingKMeans

Cluster the data points in an Iterable.

cluster(Centroid) - Method in class org.apache.mahout.clustering.streaming.cluster.StreamingKMeans

Cluster one data point.

CLUSTER_FILTER_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator

ClusterClassificationConfigKeys - Class in org.apache.mahout.clustering.classify

Constants used in Cluster Classification.

ClusterClassificationDriver - Class in org.apache.mahout.clustering.classify

Classifies the vectors into different clusters found by the clustering algorithm.

ClusterClassificationMapper - Class in org.apache.mahout.clustering.classify

Mapper for classifying vectors into clusters.

ClusterClassificationMapper() - Constructor for class org.apache.mahout.clustering.classify.ClusterClassificationMapper

ClusterClassifier - Class in org.apache.mahout.clustering.classify

This classifier works with any ClusteringPolicy and its associated Clusters.

ClusterClassifier(List<Cluster>, ClusteringPolicy) - Constructor for class org.apache.mahout.clustering.classify.ClusterClassifier

The public constructor accepts a list of clusters to become the models

ClusterClassifier() - Constructor for class org.apache.mahout.clustering.classify.ClusterClassifier

ClusterClassifier(ClusteringPolicy) - Constructor for class org.apache.mahout.clustering.classify.ClusterClassifier

ClusterCountReader - Class in org.apache.mahout.clustering.topdown.postprocessor

Reads the number of clusters produced by the clustering algorithm.

clusterData(Configuration, Path, Path, Path, double, float, boolean, double, boolean) - Static method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver

Run the job using supplied arguments

clusterData(Configuration, Path, Path, Path, double, boolean) - Static method in class org.apache.mahout.clustering.kmeans.KMeansDriver

Run the job using supplied arguments

CLUSTERED_POINTS_DIRECTORY - Static variable in class org.apache.mahout.clustering.topdown.PathDirectory

clusterFilterOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator

CLUSTERING_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator

clusteringOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator

Returns a default command line option for clustering specification.

ClusteringPolicy - Interface in org.apache.mahout.clustering.iterator

A ClusteringPolicy captures the semantics of assignment of points to clusters

ClusteringPolicyWritable - Class in org.apache.mahout.clustering.iterator

ClusteringPolicyWritable(ClusteringPolicy) - Constructor for class org.apache.mahout.clustering.iterator.ClusteringPolicyWritable

ClusteringPolicyWritable() - Constructor for class org.apache.mahout.clustering.iterator.ClusteringPolicyWritable

ClusteringUtils - Class in org.apache.mahout.clustering

ClusterIterator - Class in org.apache.mahout.clustering.iterator

This is a clustering iterator which works with a set of Vector data and a prior ClusterClassifier which has been initialized with a set of models.

ClusterOutputPostProcessor - Class in org.apache.mahout.clustering.topdown.postprocessor

This class reads the output of any clustering algorithm, and, creates separate directories for different clusters.

ClusterOutputPostProcessor(Path, Path, Configuration) - Constructor for class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessor

ClusterOutputPostProcessorDriver - Class in org.apache.mahout.clustering.topdown.postprocessor

Post processes the output of clustering algorithms and groups them into respective clusters.

ClusterOutputPostProcessorDriver() - Constructor for class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessorDriver

ClusterOutputPostProcessorMapper - Class in org.apache.mahout.clustering.topdown.postprocessor

Mapper for post processing cluster output.

ClusterOutputPostProcessorMapper() - Constructor for class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessorMapper

ClusterOutputPostProcessorReducer - Class in org.apache.mahout.clustering.topdown.postprocessor

Reducer for post processing cluster output.

ClusterOutputPostProcessorReducer() - Constructor for class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessorReducer

CLUSTERS_DIR - Static variable in interface org.apache.mahout.clustering.Cluster

CLUSTERS_IN - Static variable in class org.apache.mahout.clustering.classify.ClusterClassificationConfigKeys

CLUSTERS_IN_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator

clustersInOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator

Returns a default command line option for clusters input directory specification.

ClusterWritable - Class in org.apache.mahout.clustering.iterator

ClusterWritable(Cluster) - Constructor for class org.apache.mahout.clustering.iterator.ClusterWritable

ClusterWritable() - Constructor for class org.apache.mahout.clustering.iterator.ClusterWritable

collect(Writable, Vector) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRFirstStep

collect(Long, Vector) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SparseRowBlockAccumulator

CollocCombiner - Class in org.apache.mahout.vectorizer.collocations.llr

Combiner for pass1 of the CollocationDriver.

CollocCombiner() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.CollocCombiner

CollocDriver - Class in org.apache.mahout.vectorizer.collocations.llr

Driver for LLR Collocation discovery mapreduce job

CollocDriver() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.CollocDriver

CollocMapper - Class in org.apache.mahout.vectorizer.collocations.llr

Pass 1 of the Collocation discovery job which generated ngrams and emits ngrams an their component n-1grams.

CollocMapper() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.CollocMapper

CollocMapper.Count - Enum in org.apache.mahout.vectorizer.collocations.llr

CollocReducer - Class in org.apache.mahout.vectorizer.collocations.llr

Reducer for Pass 1 of the collocation identification job.

CollocReducer() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.CollocReducer

CollocReducer.Skipped - Enum in org.apache.mahout.vectorizer.collocations.llr

columnMeans() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix

columnMeans(String) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix

Returns the column-wise mean of a DistributedRowMatrix

CommandLineUtil - Class in org.apache.mahout.common

compare(RecommendedItem, RecommendedItem) - Method in class org.apache.mahout.cf.taste.impl.recommender.ByValueRecommendedItemComparator

compare(byte[], int, int, byte[], int, int) - Method in class org.apache.mahout.common.IntPairWritable.Comparator

compare(byte[], int, int, byte[], int, int) - Method in class org.apache.mahout.common.IntPairWritable.FirstGroupingComparator

compare(Object, Object) - Method in class org.apache.mahout.common.IntPairWritable.FirstGroupingComparator

compare(Object, Object) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable.SplitGroupingComparator

COMPARE_BY_SIMILARITY - Static variable in class org.apache.mahout.cf.taste.similarity.precompute.SimilarItem

compareTo(EntityEntityWritable) - Method in class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable

compareTo(SimilarUser) - Method in class org.apache.mahout.cf.taste.impl.recommender.SimilarUser

Defines an ordering from most similar to least similar.

compareTo(GenericItemSimilarity.ItemItemSimilarity) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity

Defines an ordering from highest similarity to lowest.

compareTo(GenericUserSimilarity.UserUserSimilarity) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity

Defines an ordering from highest similarity to lowest.

compareTo(ModelDissector.Weight) - Method in class org.apache.mahout.classifier.sgd.ModelDissector.Weight

compareTo(IntegerTuple) - Method in class org.apache.mahout.common.IntegerTuple

compareTo(BinaryComparable) - Method in class org.apache.mahout.common.IntPairWritable

compareTo(IntPairWritable.Frequency) - Method in class org.apache.mahout.common.IntPairWritable.Frequency

compareTo(LongPair) - Method in class org.apache.mahout.common.LongPair

compareTo(Pair<A, B>) - Method in class org.apache.mahout.common.Pair

Defines an ordering on pairs that sorts by first value's natural ordering, ascending, and then by second value's natural ordering.

compareTo(StringTuple) - Method in class org.apache.mahout.common.StringTuple

compareTo(State<T, U>) - Method in class org.apache.mahout.ep.State

Natural order is to sort in descending order of score.

compareTo(DistributedRowMatrix.MatrixEntryWritable) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable

compareTo(SplitPartitionedWritable) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable

COMPLEMENTARY - Static variable in class org.apache.mahout.classifier.naivebayes.test.TestNaiveBayesDriver

COMPLEMENTARY_MODEL - Static variable in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel

ComplementaryNaiveBayesClassifier - Class in org.apache.mahout.classifier.naivebayes

Implementation of the Naive Bayes Classifier Algorithm

ComplementaryNaiveBayesClassifier(NaiveBayesModel) - Constructor for class org.apache.mahout.classifier.naivebayes.ComplementaryNaiveBayesClassifier

ComplementaryThetaTrainer - Class in org.apache.mahout.classifier.naivebayes.training

ComplementaryThetaTrainer(Vector, Vector, double) - Constructor for class org.apache.mahout.classifier.naivebayes.training.ComplementaryThetaTrainer

compute() - Method in interface org.apache.mahout.clustering.GaussianAccumulator

Compute the mean, variance and standard deviation

compute() - Method in class org.apache.mahout.clustering.OnlineGaussianAccumulator

compute() - Method in class org.apache.mahout.clustering.RunningSumsGaussianAccumulator

computeCentroid() - Method in class org.apache.mahout.clustering.AbstractCluster

Compute the centroid by averaging the pointTotals

computeConvergence(DistanceMeasure, double) - Method in class org.apache.mahout.clustering.kmeans.Kluster

Return if the cluster is converged by comparing its center and centroid.

computeFinalEvaluation() - Method in class org.apache.mahout.cf.taste.impl.eval.AbstractDifferenceRecommenderEvaluator

computeFinalEvaluation() - Method in class org.apache.mahout.cf.taste.impl.eval.AverageAbsoluteDifferenceRecommenderEvaluator

computeFinalEvaluation() - Method in class org.apache.mahout.cf.taste.impl.eval.RMSRecommenderEvaluator

computeHash64(Vector, Matrix) - Static method in class org.apache.mahout.math.neighborhood.HashedVector

computeItemSimilarities(int, int, SimilarItemsWriter) - Method in class org.apache.mahout.cf.taste.impl.similarity.precompute.MultithreadedBatchItemSimilarities

computeItemSimilarities(int, int, SimilarItemsWriter) - Method in class org.apache.mahout.cf.taste.similarity.precompute.BatchItemSimilarities

computeMean() - Method in class org.apache.mahout.math.hadoop.stats.VarianceTotals

computeNext() - Method in class org.apache.mahout.common.iterator.CountingIterator

computeNext() - Method in class org.apache.mahout.common.iterator.FileLineIterator

computeNext() - Method in class org.apache.mahout.common.iterator.SamplingIterator

computeNext() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileIterator

computeNext() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileValueIterator

computeNext() - Method in class org.apache.mahout.common.lucene.TokenStreamIterator

computeParameters() - Method in class org.apache.mahout.clustering.AbstractCluster

computeParameters() - Method in interface org.apache.mahout.clustering.Model

Compute a new set of posterior parameters based upon the Observations that have been observed since my creation

computePi(Collection<SoftCluster>, List<Double>) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer

computeProbWeight(double, Iterable<Double>) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer

Computes the probability of a point belonging to a cluster

computeQtHat(double[][], int, Iterator<UpperTriangular>) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver

computeSplit(Data, int) - Method in class org.apache.mahout.classifier.df.split.DefaultIgSplit

computeSplit(Data, int) - Method in class org.apache.mahout.classifier.df.split.IgSplit

Computes the best split for the given attribute

computeSplit(Data, int) - Method in class org.apache.mahout.classifier.df.split.OptIgSplit

computeSplit(Data, int) - Method in class org.apache.mahout.classifier.df.split.RegressionSplit

computeU(Iterable<File>, File) - Method in class org.apache.mahout.math.ssvd.SequentialOutOfCoreSvd

computeV(File, int) - Method in class org.apache.mahout.math.ssvd.SequentialOutOfCoreSvd

computeVariance() - Method in class org.apache.mahout.math.hadoop.stats.VarianceTotals

computeVarianceForGivenMean(double) - Method in class org.apache.mahout.math.hadoop.stats.VarianceTotals

computeWeight(double, double, double, double, double, double) - Static method in class org.apache.mahout.classifier.naivebayes.ComplementaryNaiveBayesClassifier

computeWeight(double, double, double, double) - Static method in class org.apache.mahout.classifier.naivebayes.StandardNaiveBayesClassifier

computeYRow(Vector, double[]) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.Omega

Deprecated.

computeYRow(Vector, Vector) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.Omega

A version to compute yRow as a sparse vector in case of extremely sparse matrices

Condition - Class in org.apache.mahout.classifier.df.data.conditions

Condition on Instance

Condition() - Constructor for class org.apache.mahout.classifier.df.data.conditions.Condition

conf(Parametered) - Static method in class org.apache.mahout.common.parameters.Parametered.ParameteredGeneralizations

configure(boolean, TreeBuilder, Dataset) - Method in class org.apache.mahout.classifier.df.mapreduce.MapredMapper

Useful for testing

configure(Long, int, int, int) - Method in class org.apache.mahout.classifier.df.mapreduce.partial.Step1Mapper

Useful when testing

configure(Configuration) - Method in class org.apache.mahout.clustering.AbstractCluster

configure(Configuration) - Method in class org.apache.mahout.clustering.iterator.DistanceMeasureCluster

configure(Configuration) - Method in class org.apache.mahout.common.distance.ChebyshevDistanceMeasure

configure(Configuration) - Method in class org.apache.mahout.common.distance.CosineDistanceMeasure

configure(Configuration) - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure

configure(Configuration) - Method in class org.apache.mahout.common.distance.ManhattanDistanceMeasure

configure(Configuration) - Method in class org.apache.mahout.common.distance.MinkowskiDistanceMeasure

configure(Configuration) - Method in class org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure

configure(Configuration) - Method in class org.apache.mahout.common.distance.WeightedDistanceMeasure

configure(Configuration) - Method in class org.apache.mahout.common.parameters.AbstractParameter

configure(Configuration) - Method in interface org.apache.mahout.common.parameters.Parametered

configure(JobConf) - Method in class org.apache.mahout.math.hadoop.MatrixMultiplicationJob.MatrixMultiplyMapper

configureCanopyClusterer(Configuration) - Static method in class org.apache.mahout.clustering.canopy.CanopyConfigKeys

Deprecated.

Create a CanopyClusterer from the Hadoop configuration.

configureJob(Job) - Method in class org.apache.mahout.classifier.df.mapreduce.Builder

Used by the inheriting classes to configure the job

configureJob(Job) - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemBuilder

configureJob(Job) - Method in class org.apache.mahout.classifier.df.mapreduce.partial.PartialBuilder

configureOptionsForWorkers(Configuration, int, int, float, int, float, boolean, boolean, float, int, String, String, int, int, String, boolean) - Static method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver

Checks the parameters for a StreamingKMeans job and prepares a Configuration with them.

configureParameters(Parametered, Configuration) - Static method in class org.apache.mahout.common.parameters.Parametered.ParameteredGeneralizations

configureParameters(String, Parametered, Configuration) - Static method in class org.apache.mahout.common.parameters.Parametered.ParameteredGeneralizations

Calls Parametered.createParameters(String,org.apache.hadoop.conf.Configuration) on parameter parmetered, and then recur down its composite tree to invoke Parametered.createParameters(String,org.apache.hadoop.conf.Configuration) and Parametered.configure(org.apache.hadoop.conf.Configuration) on each composite part.

confusion() - Method in class org.apache.mahout.classifier.evaluation.Auc

Returns the confusion matrix for the classifier supposing that we were to use a particular threshold.

ConfusionMatrix - Class in org.apache.mahout.classifier

The ConfusionMatrix Class stores the result of Classification of a Test Dataset.

ConfusionMatrix(Collection<String>, String) - Constructor for class org.apache.mahout.classifier.ConfusionMatrix

ConfusionMatrix(Matrix) - Constructor for class org.apache.mahout.classifier.ConfusionMatrix

consider(int, int, double, double, double) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CooccurrenceCountSimilarity

consider(int, int, double, double, double) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CosineSimilarity

consider(int, int, double, double, double) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CountbasedMeasure

consider(int, int, double, double, double) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.EuclideanDistanceSimilarity

consider(int, int, double, double, double) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.TanimotoCoefficientSimilarity

consider(int, int, double, double, double) - Method in interface org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.VectorSimilarityMeasure

ConstantValueEncoder - Class in org.apache.mahout.vectorizer.encoders

An encoder that does the standard thing for a virtual bias term.

ConstantValueEncoder(String) - Constructor for class org.apache.mahout.vectorizer.encoders.ConstantValueEncoder

contains(long) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet

contains(Instance) - Method in class org.apache.mahout.classifier.df.data.Data

containsKey(long) - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap

containsKey(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastMap

containsValue(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap

containsValue(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastMap

CONTINUOUS_VALUE_HASH_SEED - Static variable in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder

ContinuousValueEncoder - Class in org.apache.mahout.vectorizer.encoders

Continuous values are stored in fixed randomized location in the feature vector.

ContinuousValueEncoder(String) - Constructor for class org.apache.mahout.vectorizer.encoders.ContinuousValueEncoder

CONVERGENCE_DELTA_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator

convergenceOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator

Returns a default command line option for convergence delta specification.

convert(CharSequence) - Method in class org.apache.mahout.classifier.df.data.DataConverter

CooccurrenceCountSimilarity - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence.measures

CooccurrenceCountSimilarity() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CooccurrenceCountSimilarity

copy() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper

copy() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner

copy() - Method in class org.apache.mahout.classifier.sgd.GradientMachine

copy() - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression

copy() - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive

copy() - Method in interface org.apache.mahout.ep.Payload

copy() - Method in class org.apache.mahout.ep.State

Deep copies a state, useful in mutation.

CopyConstructorIterator<T> - Class in org.apache.mahout.common.iterator

An iterator that copies the values in an underlying iterator by finding an appropriate copy constructor.

CopyConstructorIterator(Iterator<? extends T>) - Constructor for class org.apache.mahout.common.iterator.CopyConstructorIterator

copyFrom(AbstractOnlineLogisticRegression) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression

copyFrom(GradientMachine) - Method in class org.apache.mahout.classifier.sgd.GradientMachine

copyFrom(OnlineLogisticRegression) - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression

copyFrom(PassiveAggressive) - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive

CosineDistanceMeasure - Class in org.apache.mahout.common.distance

This class implements a cosine distance metric by dividing the dot product of two vectors by the product of their lengths.

CosineDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.CosineDistanceMeasure

CosineSimilarity - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence.measures

CosineSimilarity() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CosineSimilarity

costFunctionName - Variable in class org.apache.mahout.classifier.mlp.NeuralNetwork

Deprecated.

CountbasedMeasure - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence.measures

CountbasedMeasure() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CountbasedMeasure

CountingIterator - Class in org.apache.mahout.common.iterator

Iterates over the integers from 0 through to-1.

CountingIterator(int) - Constructor for class org.apache.mahout.common.iterator.CountingIterator

countLabels(int[]) - Method in class org.apache.mahout.classifier.df.data.Data

Counts the number of occurrences of each label value
This method can be used when the criterion variable is the categorical attribute.

countRecords(Path, Configuration) - Static method in class org.apache.mahout.common.HadoopUtil

countRecords(Path, PathType, PathFilter, Configuration) - Static method in class org.apache.mahout.common.HadoopUtil

Count all the records in a directory using a SequenceFileDirValueIterator

createAnalyzer(String) - Static method in class org.apache.mahout.common.lucene.AnalyzerUtils

Create an Analyzer using the latest Version.

createAnalyzer(String, Version) - Static method in class org.apache.mahout.common.lucene.AnalyzerUtils

createAnalyzer(Class<? extends Analyzer>) - Static method in class org.apache.mahout.common.lucene.AnalyzerUtils

Create an Analyzer using the latest Version.

createAnalyzer(Class<? extends Analyzer>, Version) - Static method in class org.apache.mahout.common.lucene.AnalyzerUtils

createCanopies(List<Vector>, DistanceMeasure, double, double) - Static method in class org.apache.mahout.clustering.canopy.CanopyClusterer

Deprecated.

Iterate through the points, adding new canopies.

createFactorization(double[][], double[][]) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.AbstractFactorizer

createMatrixMultiplyJobConf(Path, Path, Path, int) - Static method in class org.apache.mahout.math.hadoop.MatrixMultiplicationJob

createMatrixMultiplyJobConf(Configuration, Path, Path, Path, int) - Static method in class org.apache.mahout.math.hadoop.MatrixMultiplicationJob

createParameters(String, Configuration) - Method in class org.apache.mahout.clustering.AbstractCluster

createParameters(String, Configuration) - Method in class org.apache.mahout.common.distance.ChebyshevDistanceMeasure

createParameters(String, Configuration) - Method in class org.apache.mahout.common.distance.CosineDistanceMeasure

createParameters(String, Configuration) - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure

createParameters(String, Configuration) - Method in class org.apache.mahout.common.distance.ManhattanDistanceMeasure

createParameters(String, Configuration) - Method in class org.apache.mahout.common.distance.MinkowskiDistanceMeasure

createParameters(String, Configuration) - Method in class org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure

createParameters(String, Configuration) - Method in class org.apache.mahout.common.distance.WeightedDistanceMeasure

createParameters(String, Configuration) - Method in class org.apache.mahout.common.parameters.AbstractParameter

createParameters(String, Configuration) - Method in interface org.apache.mahout.common.parameters.Parametered

EXPERT: consumers should never have to call this method.

createQueue() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ALSWRFactorizer

createRecordReader(InputSplit, TaskAttemptContext) - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat

createScoringVector() - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel

createTermFrequencyVectors(Path, Path, String, Configuration, int, int, float, float, boolean, int, int, boolean, boolean) - Static method in class org.apache.mahout.vectorizer.DictionaryVectorizer

Create Term Frequency (Tf) Vectors from the input set of documents in SequenceFile format.

createTimesJob(Vector, int, Path, Path) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob

createTimesJob(Configuration, Vector, int, Path, Path) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob

createTimesSquaredJob(Vector, Path, Path) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob

createTimesSquaredJob(Configuration, Vector, Path, Path) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob

createTimesSquaredJob(Vector, Path, Path, Class<? extends TimesSquaredJob.TimesSquaredMapper>, Class<? extends TimesSquaredJob.VectorSummingReducer>) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob

createTimesSquaredJob(Configuration, Vector, Path, Path, Class<? extends TimesSquaredJob.TimesSquaredMapper>, Class<? extends TimesSquaredJob.VectorSummingReducer>) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob

createTimesSquaredJob(Vector, int, Path, Path, Class<? extends TimesSquaredJob.TimesSquaredMapper>, Class<? extends TimesSquaredJob.VectorSummingReducer>) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob

createTimesSquaredJob(Configuration, Vector, int, Path, Path, Class<? extends TimesSquaredJob.TimesSquaredMapper>, Class<? extends TimesSquaredJob.VectorSummingReducer>) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob

createVectors(Path, Path, VectorizerConfig) - Method in class org.apache.mahout.vectorizer.DictionaryVectorizer

createVectors(Path, Path, VectorizerConfig) - Method in class org.apache.mahout.vectorizer.SimpleTextEncodingVectorizer

createVectors(Path, Path, VectorizerConfig) - Method in interface org.apache.mahout.vectorizer.Vectorizer

crossEntropy - Static variable in class org.apache.mahout.classifier.mlp.NeuralNetworkFunctions

Deprecated.

The cross entropy function (f(t, o) = -t * log(o) - (1 - t) * log(1 - o)).

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

Does cross-fold validation of log-likelihood and AUC on several online logistic regression models.

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

CrossFoldLearner(int, int, int, PriorFunction) - Constructor for class org.apache.mahout.classifier.sgd.CrossFoldLearner

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

Converts CSV data lines to vectors.

CsvRecordFactory(String, Map<String, String>) - Constructor for class org.apache.mahout.classifier.sgd.CsvRecordFactory

Construct a parser for CSV lines that encodes the parsed data in vector form.

CsvRecordFactory(String, String, Map<String, String>) - Constructor for class org.apache.mahout.classifier.sgd.CsvRecordFactory

currentLearningRate() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression

currentLearningRate() - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression

CVB0DocInferenceMapper - Class in org.apache.mahout.clustering.lda.cvb

CVB0DocInferenceMapper() - Constructor for class org.apache.mahout.clustering.lda.cvb.CVB0DocInferenceMapper

CVB0Driver - Class in org.apache.mahout.clustering.lda.cvb

See CachingCVB0Mapper for more details on scalability and room for improvement.

CVB0Driver() - Constructor for class org.apache.mahout.clustering.lda.cvb.CVB0Driver

CVB0Driver.DualDoubleSumReducer - Class in org.apache.mahout.clustering.lda.cvb

Sums keys and values independently.

CVB0Driver.DualDoubleSumReducer() - Constructor for class org.apache.mahout.clustering.lda.cvb.CVB0Driver.DualDoubleSumReducer

CVB0TopicTermVectorNormalizerMapper - Class in org.apache.mahout.clustering.lda.cvb

Performs L1 normalization of input vectors.

CVB0TopicTermVectorNormalizerMapper() - Constructor for class org.apache.mahout.clustering.lda.cvb.CVB0TopicTermVectorNormalizerMapper

D

Data - Class in org.apache.mahout.classifier.df.data

Holds a list of vectors and their corresponding Dataset.

Data(Dataset) - Constructor for class org.apache.mahout.classifier.df.data.Data

Data(Dataset, List<Instance>) - Constructor for class org.apache.mahout.classifier.df.data.Data

DataConverter - Class in org.apache.mahout.classifier.df.data

Converts String to Instance using a Dataset

DataConverter(Dataset) - Constructor for class org.apache.mahout.classifier.df.data.DataConverter

DataLoader - Class in org.apache.mahout.classifier.df.data

Converts the input data to a Vector Array using the information given by the Dataset.
Generates for each line a Vector that contains :
double parsed value for NUMERICAL attributes int value for CATEGORICAL and LABEL attributes
adds an IGNORED first attribute that will contain a unique id for each instance, which is the line number of the instance in the input data

dataModel - Variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer

DataModel - Interface in org.apache.mahout.cf.taste.model

Implementations represent a repository of information about users and their associated Preferences for items.

DataModelBuilder - Interface in org.apache.mahout.cf.taste.eval

Implementations of this inner interface are simple helper classes which create a DataModel to be used while evaluating a Recommender.

Dataset - Class in org.apache.mahout.classifier.df.data

Contains information about the attributes.

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

Dataset.Attribute - Enum in org.apache.mahout.classifier.df.data

Attributes type

DatasetSplitter - Class in org.apache.mahout.cf.taste.hadoop.als

Split a recommendation dataset into a training and a test set

DatasetSplitter() - Constructor for class org.apache.mahout.cf.taste.hadoop.als.DatasetSplitter

DataUtils - Class in org.apache.mahout.classifier.df.data

Helper methods that deals with data lists and arrays of values

daviesBouldinIndex(List<? extends Vector>, DistanceMeasure, List<OnlineSummarizer>) - Static method in class org.apache.mahout.clustering.ClusteringUtils

Computes the Davies-Bouldin Index for a given clustering.

dec(int[], int[]) - Static method in class org.apache.mahout.classifier.df.data.DataUtils

foreach i : array1[i] -= array2[i]

decayExponent(double) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner

decayExponent(double) - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression

DecisionForest - Class in org.apache.mahout.classifier.df

Represents a forest of decision trees.

DecisionForest(List<Node>) - Constructor for class org.apache.mahout.classifier.df.DecisionForest

DecisionTreeBuilder - Class in org.apache.mahout.classifier.df.builder

Builds a classification tree or regression tree
A classification tree is built when the criterion variable is the categorical attribute.
A regression tree is built when the criterion variable is the numerical attribute.

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

decode(HmmModel, int[], boolean) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmEvaluator

Returns the most likely sequence of hidden states for the given model and observation

decodeStateSequence(HmmModel, int[], boolean, String) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmUtils

Decodes a given collection of state IDs into the corresponding state names registered in a given model.

decodeType(byte[], int) - Static method in class org.apache.mahout.vectorizer.collocations.llr.Gram

DEFAULT_CLUSTERED_POINTS_DIRECTORY - Static variable in class org.apache.mahout.clustering.canopy.CanopyDriver

Deprecated.

DEFAULT_DATASOURCE_NAME - Static variable in class org.apache.mahout.cf.taste.impl.common.jdbc.AbstractJDBCComponent

DEFAULT_EMIT_UNIGRAMS - Static variable in class org.apache.mahout.vectorizer.collocations.llr.CollocDriver

DEFAULT_FACTOR - Static variable in class org.apache.mahout.cf.taste.impl.recommender.SamplingCandidateItemsStrategy

Default factor used if not otherwise specified, for all limits.

DEFAULT_LEARNING_RATE - Static variable in class org.apache.mahout.classifier.mlp.NeuralNetwork

Deprecated.

DEFAULT_LONG_ID_COLUMN - Static variable in class org.apache.mahout.cf.taste.impl.model.AbstractJDBCIDMigrator

DEFAULT_MAPPING_TABLE - Static variable in class org.apache.mahout.cf.taste.impl.model.AbstractJDBCIDMigrator

DEFAULT_MIN_LLR - Static variable in class org.apache.mahout.vectorizer.collocations.llr.LLRReducer

DEFAULT_MIN_RELOAD_INTERVAL_MS - Static variable in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel

DEFAULT_MIN_RELOAD_INTERVAL_MS - Static variable in class org.apache.mahout.cf.taste.impl.model.file.FileIDMigrator

DEFAULT_MIN_RELOAD_INTERVAL_MS - Static variable in class org.apache.mahout.cf.taste.impl.similarity.file.FileItemSimilarity

DEFAULT_MIN_SUPPORT - Static variable in class org.apache.mahout.vectorizer.collocations.llr.CollocReducer

DEFAULT_MIN_SUPPORT - Static variable in class org.apache.mahout.vectorizer.DictionaryVectorizer

DEFAULT_MOMENTUM_WEIGHT - Static variable in class org.apache.mahout.classifier.mlp.NeuralNetwork

Deprecated.

DEFAULT_POOL_SIZE - Static variable in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression

DEFAULT_PREPARE_PATH - Static variable in class org.apache.mahout.cf.taste.hadoop.item.RecommenderJob

DEFAULT_REGULARIZATION_WEIGHT - Static variable in class org.apache.mahout.classifier.mlp.NeuralNetwork

Deprecated.

DEFAULT_STRING_ID_COLUMN - Static variable in class org.apache.mahout.cf.taste.impl.model.AbstractJDBCIDMigrator

DEFAULT_THREAD_COUNT - Static variable in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression

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

Implements the basic logistic training law.

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

DefaultIgSplit - Class in org.apache.mahout.classifier.df.split

Default, not optimized, implementation of IgSplit

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

DefaultOptionCreator - Class in org.apache.mahout.common.commandline

DefaultTreeBuilder - Class in org.apache.mahout.classifier.df.builder

Builds a Decision Tree
Based on the algorithm described in the "Decision Trees" tutorials by Andrew W.

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

defaultValue() - Method in class org.apache.mahout.common.parameters.AbstractParameter

defaultValue() - Method in interface org.apache.mahout.common.parameters.Parameter

defineTargetCategories(List<String>) - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory

Defines the values and thus the encoding of values of the target variables.

defineTargetCategories(List<String>) - Method in interface org.apache.mahout.classifier.sgd.RecordFactory

delegate() - Method in class org.apache.mahout.cf.taste.impl.common.jdbc.ResultSetIterator

delegate() - Method in class org.apache.mahout.common.iterator.CopyConstructorIterator

delegate() - Method in class org.apache.mahout.common.iterator.FixedSizeSamplingIterator

delegate() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirIterator

delegate() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirValueIterator

delegate() - Method in class org.apache.mahout.common.iterator.StableFixedSizeSamplingIterator

delegate() - Method in class org.apache.mahout.common.iterator.StringRecordIterator

delete(Configuration, Iterable<Path>) - Static method in class org.apache.mahout.common.HadoopUtil

delete(Configuration, Path...) - Static method in class org.apache.mahout.common.HadoopUtil

DenseBlockWritable - Class in org.apache.mahout.math.hadoop.stochasticsvd

Ad-hoc substitution for MatrixWritable.

DenseBlockWritable() - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.DenseBlockWritable

derivativeCrossEntropy - Static variable in class org.apache.mahout.classifier.mlp.NeuralNetworkFunctions

Deprecated.

The derivation of cross entropy function (f(t, o) = -t * log(o) - (1 - t) * log(1 - o)).

derivativeIdentityFunction - Static variable in class org.apache.mahout.classifier.mlp.NeuralNetworkFunctions

Deprecated.

The derivation of identity function (f(x) = x).

derivativeMinusSquared - Static variable in class org.apache.mahout.classifier.mlp.NeuralNetworkFunctions

Deprecated.

The derivation of minus squared function (f(t, o) = (o - t)^2).

Describe - Class in org.apache.mahout.classifier.df.tools

Generates a file descriptor for a given dataset

description() - Method in class org.apache.mahout.common.parameters.AbstractParameter

description() - Method in interface org.apache.mahout.common.parameters.Parameter

DescriptorException - Exception in org.apache.mahout.classifier.df.data

Exception thrown when parsing a descriptor

DescriptorException(String) - Constructor for exception org.apache.mahout.classifier.df.data.DescriptorException

DescriptorUtils - Class in org.apache.mahout.classifier.df.data

Contains various methods that deal with descriptor strings

determineDelimiter(String) - Static method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel

DFUtils - Class in org.apache.mahout.classifier.df

Utility class that contains various helper methods

DIAGONAL_CACHE_INDEX - Static variable in class org.apache.mahout.clustering.spectral.Keys

Sets the SequenceFile index for the diagonal matrix.

DICTIONARY - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver

Dictionary - Class in org.apache.mahout.vectorizer.encoders

Assigns integer codes to strings as they appear.

Dictionary() - Constructor for class org.apache.mahout.vectorizer.encoders.Dictionary

DICTIONARY_FILE - Static variable in class org.apache.mahout.vectorizer.DictionaryVectorizer

DictionaryVectorizer - Class in org.apache.mahout.vectorizer

This class converts a set of input documents in the sequence file format to vectors.

DIMENSION - Static variable in class org.apache.mahout.vectorizer.common.PartialVectorMerger

distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.ChebyshevDistanceMeasure

distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.ChebyshevDistanceMeasure

distance(double[], double[]) - Static method in class org.apache.mahout.common.distance.CosineDistanceMeasure

distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.CosineDistanceMeasure

distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.CosineDistanceMeasure

distance(Vector, Vector) - Method in interface org.apache.mahout.common.distance.DistanceMeasure

Returns the distance metric applied to the arguments

distance(double, Vector, Vector) - Method in interface org.apache.mahout.common.distance.DistanceMeasure

Optimized version of distance metric for sparse vectors.

distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.EuclideanDistanceMeasure

distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.EuclideanDistanceMeasure

distance(Vector) - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure

distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure

distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure

distance(double[], double[]) - Static method in class org.apache.mahout.common.distance.ManhattanDistanceMeasure

distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.ManhattanDistanceMeasure

distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.ManhattanDistanceMeasure

distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.MinkowskiDistanceMeasure

Math.pow is clever about integer-valued doubles

distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.MinkowskiDistanceMeasure

distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure

distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure

distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.TanimotoDistanceMeasure

Calculates the distance between two vectors.

distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.TanimotoDistanceMeasure

distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.WeightedEuclideanDistanceMeasure

distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.WeightedEuclideanDistanceMeasure

distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.WeightedManhattanDistanceMeasure

distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.WeightedManhattanDistanceMeasure

DISTANCE_MEASURE_KEY - Static variable in class org.apache.mahout.clustering.canopy.CanopyConfigKeys

Deprecated.

DISTANCE_MEASURE_KEY - Static variable in class org.apache.mahout.math.hadoop.similarity.VectorDistanceSimilarityJob

DISTANCE_MEASURE_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator

DistanceMeasure - Interface in org.apache.mahout.common.distance

This interface is used for objects which can determine a distance metric between two points

distanceMeasure - Variable in class org.apache.mahout.math.neighborhood.Searcher

DistanceMeasureCluster - Class in org.apache.mahout.clustering.iterator

DistanceMeasureCluster(Vector, int, DistanceMeasure) - Constructor for class org.apache.mahout.clustering.iterator.DistanceMeasureCluster

DistanceMeasureCluster() - Constructor for class org.apache.mahout.clustering.iterator.DistanceMeasureCluster

distanceMeasureOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator

Returns a default command line option for specification of distance measure class to use.

DistributedConjugateGradientSolver - Class in org.apache.mahout.math.hadoop.solver

Distributed implementation of the conjugate gradient solver.

DistributedConjugateGradientSolver() - Constructor for class org.apache.mahout.math.hadoop.solver.DistributedConjugateGradientSolver

DistributedConjugateGradientSolver.DistributedConjugateGradientSolverJob - Class in org.apache.mahout.math.hadoop.solver

DistributedConjugateGradientSolver.DistributedConjugateGradientSolverJob() - Constructor for class org.apache.mahout.math.hadoop.solver.DistributedConjugateGradientSolver.DistributedConjugateGradientSolverJob

DistributedLanczosSolver - Class in org.apache.mahout.math.hadoop.decomposer

Deprecated.

DistributedLanczosSolver() - Constructor for class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver

Deprecated.

DistributedLanczosSolver.DistributedLanczosSolverJob - Class in org.apache.mahout.math.hadoop.decomposer

Deprecated.

Inner subclass of AbstractJob so we get access to AbstractJob's functionality w.r.t.

DistributedLanczosSolver.DistributedLanczosSolverJob() - Constructor for class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver.DistributedLanczosSolverJob

Deprecated.

DistributedRowMatrix - Class in org.apache.mahout.math.hadoop

DistributedRowMatrix is a FileSystem-backed VectorIterable in which the vectors live in a SequenceFile, and distributed operations are executed as M/R passes on Hadoop.

DistributedRowMatrix(Path, Path, int, int) - Constructor for class org.apache.mahout.math.hadoop.DistributedRowMatrix

DistributedRowMatrix(Path, Path, int, int, boolean) - Constructor for class org.apache.mahout.math.hadoop.DistributedRowMatrix

DistributedRowMatrix.MatrixEntryWritable - Class in org.apache.mahout.math.hadoop

DistributedRowMatrix.MatrixEntryWritable() - Constructor for class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable

DistributedRowMatrixWriter - Class in org.apache.mahout.math

DOC_TOPIC_OUTPUT - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver

DOC_TOPIC_SMOOTHING - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver

DOCUMENT_VECTOR_OUTPUT_FOLDER - Static variable in class org.apache.mahout.vectorizer.DictionaryVectorizer

DocumentProcessor - Class in org.apache.mahout.vectorizer

This class converts a set of input documents in the sequence file format of StringTuples.The SequenceFile input should have a Text key containing the unique document identifier and a Text value containing the whole document.

doEstimatePreference(long, PreferenceArray, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericBooleanPrefItemBasedRecommender

This computation is in a technical sense, wrong, since in the domain of "boolean preference users" where all preference values are 1, this method should only ever return 1.0 or NaN.

doEstimatePreference(long, long[], long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericBooleanPrefUserBasedRecommender

This computation is in a technical sense, wrong, since in the domain of "boolean preference users" where all preference values are 1, this method should only ever return 1.0 or NaN.

doEstimatePreference(long, PreferenceArray, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender

doEstimatePreference(long, long[], long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender

doGetCandidateItems(long[], DataModel) - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractCandidateItemsStrategy

doGetCandidateItems(long[], DataModel, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractCandidateItemsStrategy

doGetCandidateItems(long[], DataModel, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.AllSimilarItemsCandidateItemsStrategy

doGetCandidateItems(long[], DataModel, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.AllUnknownItemsCandidateItemsStrategy

return all items the user has not yet seen

doGetCandidateItems(long[], DataModel, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.PreferredItemsNeighborhoodCandidateItemsStrategy

returns all items that have not been rated by the user and that were preferred by another user that has preferred at least one item that the current user has preferred too

doGetCandidateItems(long[], DataModel, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.SamplingCandidateItemsStrategy

DoubleParameter - Class in org.apache.mahout.common.parameters

DoubleParameter(String, String, Configuration, double, String) - Constructor for class org.apache.mahout.common.parameters.DoubleParameter

drmIterator(FileSystem, Path, Configuration, Deque<Closeable>) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDHelper

drmLoadAsDense(FileSystem, Path, Configuration) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDHelper

helper capabiltiy to load distributed row matrices into dense matrix (to support tests mainly).

dunnIndex(List<? extends Vector>, DistanceMeasure, List<OnlineSummarizer>) - Static method in class org.apache.mahout.clustering.ClusteringUtils

Computes the Dunn Index of a given clustering.

E

EigenSeedGenerator - Class in org.apache.mahout.clustering.spectral.kmeans

Given an Input Path containing a SequenceFile, select k vectors and write them to the output file as a Kluster representing the initial centroid to use.

EigenVector - Class in org.apache.mahout.math.hadoop.decomposer

TODO this is a horrible hack.

EigenVector(Vector, double, double, int) - Constructor for class org.apache.mahout.math.hadoop.decomposer.EigenVector

EigenVerificationJob - Class in org.apache.mahout.math.hadoop.decomposer

Deprecated.

EigenVerificationJob() - Constructor for class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob

Deprecated.

elapsedTime(long) - Static method in class org.apache.mahout.classifier.df.DFUtils

Formats a time interval in milliseconds to a String in the form "hours:minutes:seconds:millis"

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

Implements a linear combination of L1 and L2 priors.

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

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

EMIT_MOST_LIKELY - Static variable in class org.apache.mahout.clustering.classify.ClusterClassificationConfigKeys

EMIT_MOST_LIKELY_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator

EMIT_UNIGRAMS - Static variable in class org.apache.mahout.vectorizer.collocations.llr.CollocDriver

emitMostLikelyOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator

Returns a default command line option for specifying the emitMostLikely flag.

EncodedVectorsFromSequenceFiles - Class in org.apache.mahout.vectorizer

Converts a given set of sequence files into SparseVectors

EncodedVectorsFromSequenceFiles() - Constructor for class org.apache.mahout.vectorizer.EncodedVectorsFromSequenceFiles

ENCODER_CLASS - Static variable in class org.apache.mahout.vectorizer.EncodingMapper

ENCODER_FIELD_NAME - Static variable in class org.apache.mahout.vectorizer.EncodingMapper

encodeStateSequence(HmmModel, Collection<String>, boolean, int) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmUtils

Encodes a given collection of state names by the corresponding state IDs registered in a given model.

encodeType(Gram.Type, byte[], int) - Static method in class org.apache.mahout.vectorizer.collocations.llr.Gram

EncodingMapper - Class in org.apache.mahout.vectorizer

The Mapper that does the work of encoding text

EncodingMapper() - Constructor for class org.apache.mahout.vectorizer.EncodingMapper

end() - Method in class org.apache.mahout.common.TimingStatistics.Call

end(long) - Method in class org.apache.mahout.common.TimingStatistics.Call

Returns true if the sumTime as reached this limit;

end() - Method in class org.apache.mahout.common.TimingStatistics.LeadTimeCall

end(long) - Method in class org.apache.mahout.common.TimingStatistics.LeadTimeCall

EntityEntityWritable - Class in org.apache.mahout.cf.taste.hadoop

A WritableComparable encapsulating two items.

EntityEntityWritable() - Constructor for class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable

EntityEntityWritable(long, long) - Constructor for class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable

EntityPrefWritable - Class in org.apache.mahout.cf.taste.hadoop

A Writable encapsulating an item ID and a preference value.

EntityPrefWritable() - Constructor for class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable

EntityPrefWritable(long, float) - Constructor for class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable

EntityPrefWritable(EntityPrefWritable) - Constructor for class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable

entropy(Data) - Method in class org.apache.mahout.classifier.df.split.DefaultIgSplit

Computes the Entropy

entropy() - Method in class org.apache.mahout.classifier.evaluation.Auc

Returns a matrix related to the confusion matrix and to the log-likelihood.

entrySet() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap

entrySet() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap

equals(Object) - Method in class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable

equals(Object) - Method in class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable

equals(Object) - Method in class org.apache.mahout.cf.taste.hadoop.item.PrefAndSimilarityColumnWritable

equals(Object) - Method in class org.apache.mahout.cf.taste.hadoop.MutableRecommendedItem

equals(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap

equals(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet

equals(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastMap

equals(Object) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray

equals(Object) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray

equals(Object) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray

equals(Object) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray

equals(Object) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericRecommendedItem

equals(Object) - Method in class org.apache.mahout.cf.taste.impl.recommender.SimilarUser

equals(Object) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization

equals(Object) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity

equals(Object) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity

equals(int, double) - Static method in class org.apache.mahout.classifier.df.data.conditions.Condition

Condition that checks if the given attribute has a value "equal" to the given value

Equals - Class in org.apache.mahout.classifier.df.data.conditions

True if a given attribute has a given value

Equals(int, double) - Constructor for class org.apache.mahout.classifier.df.data.conditions.Equals

equals(Object) - Method in class org.apache.mahout.classifier.df.data.Data

equals(Object) - Method in class org.apache.mahout.classifier.df.data.Dataset

equals(Object) - Method in class org.apache.mahout.classifier.df.data.Instance

equals(Object) - Method in class org.apache.mahout.classifier.df.DecisionForest

equals(Object) - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit

equals(Object) - Method in class org.apache.mahout.classifier.df.mapreduce.MapredOutput

equals(Object) - Method in class org.apache.mahout.classifier.df.node.CategoricalNode

equals(Object) - Method in class org.apache.mahout.classifier.df.node.Leaf

equals(Object) - Method in class org.apache.mahout.classifier.df.node.NumericalNode

equals(Object) - Method in class org.apache.mahout.classifier.sgd.ModelDissector.Weight

equals(Object) - Method in class org.apache.mahout.clustering.streaming.mapreduce.CentroidWritable

equals(Object) - Method in class org.apache.mahout.common.IntegerTuple

equals(Object) - Method in class org.apache.mahout.common.IntPairWritable

equals(Object) - Method in class org.apache.mahout.common.IntPairWritable.Frequency

equals(Object) - Method in class org.apache.mahout.common.LongPair

equals(Object) - Method in class org.apache.mahout.common.Pair

equals(Object) - Method in class org.apache.mahout.common.StringTuple

equals(Object) - Method in class org.apache.mahout.ep.State

equals(Object) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable

equals(Object) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable

equals(Object) - Method in class org.apache.mahout.math.neighborhood.HashedVector

ErrorEstimate - Class in org.apache.mahout.classifier.df

Various methods to compute from the output of a random forest

errorRate(double[], double[]) - Static method in class org.apache.mahout.classifier.df.ErrorEstimate

escapeXML(CharSequence) - Static method in class org.apache.mahout.common.StringUtils

estimate(Long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender.MostSimilarEstimator

estimate(T) - Method in interface org.apache.mahout.cf.taste.impl.recommender.TopItems.Estimator

ESTIMATED_DISTANCE_CUTOFF - Static variable in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver

The initial estimated distance cutoff between two points for forming new clusters.

ESTIMATED_NUM_MAP_CLUSTERS - Static variable in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver

The number of cluster that Mappers will use should be \(O(k log n)\) where k is the number of clusters to get at the end and n is the number of points to cluster.

estimateDistanceCutoff(List<? extends Vector>, DistanceMeasure) - Static method in class org.apache.mahout.clustering.ClusteringUtils

Estimates the distance cutoff.

estimateDistanceCutoff(Iterable<T>, DistanceMeasure, int) - Static method in class org.apache.mahout.clustering.ClusteringUtils

EstimatedPreferenceCapper - Class in org.apache.mahout.cf.taste.impl.recommender

Simple class which encapsulates restricting a preference value to a predefined range.

EstimatedPreferenceCapper(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.EstimatedPreferenceCapper

estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender

estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender

estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender

estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemAverageRecommender

estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemUserAverageRecommender

estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.RandomRecommender

estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.SVDRecommender

a preference is estimated by computing the dot-product of the user and item feature vectors

estimatePreference(long, long) - Method in interface org.apache.mahout.cf.taste.recommender.Recommender

EuclideanDistanceMeasure - Class in org.apache.mahout.common.distance

This class implements a Euclidean distance metric by summing the square root of the squared differences between each coordinate.

EuclideanDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.EuclideanDistanceMeasure

EuclideanDistanceSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity

An implementation of a "similarity" based on the Euclidean "distance" between two users X and Y.

EuclideanDistanceSimilarity(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.EuclideanDistanceSimilarity

EuclideanDistanceSimilarity(DataModel, Weighting) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.EuclideanDistanceSimilarity

EuclideanDistanceSimilarity - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence.measures

EuclideanDistanceSimilarity() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.EuclideanDistanceSimilarity

evaluate(RecommenderBuilder, DataModelBuilder, DataModel, double, double) - Method in interface org.apache.mahout.cf.taste.eval.RecommenderEvaluator

Evaluates the quality of a Recommender's recommendations.

evaluate(RecommenderBuilder, DataModelBuilder, DataModel, IDRescorer, int, double, double) - Method in interface org.apache.mahout.cf.taste.eval.RecommenderIRStatsEvaluator

evaluate(RecommenderBuilder, DataModelBuilder, DataModel, double, double) - Method in class org.apache.mahout.cf.taste.impl.eval.AbstractDifferenceRecommenderEvaluator

evaluate(RecommenderBuilder, DataModelBuilder, DataModel, IDRescorer, int, double, double) - Method in class org.apache.mahout.cf.taste.impl.eval.GenericRecommenderIRStatsEvaluator

evaluate(Recommender, Recommender, int, RunningAverage, String) - Static method in class org.apache.mahout.cf.taste.impl.eval.OrderBasedRecommenderEvaluator

evaluate(Recommender, DataModel, int, RunningAverage, String) - Static method in class org.apache.mahout.cf.taste.impl.eval.OrderBasedRecommenderEvaluator

evaluate(DataModel, DataModel, int, RunningAverage, String) - Static method in class org.apache.mahout.cf.taste.impl.eval.OrderBasedRecommenderEvaluator

EvolutionaryProcess<T extends Payload<U>,U> - Class in org.apache.mahout.ep

Allows evolutionary optimization where the state function can't be easily packaged for the optimizer to execute.

EvolutionaryProcess() - Constructor for class org.apache.mahout.ep.EvolutionaryProcess

EvolutionaryProcess(int, int, State<T, U>) - Constructor for class org.apache.mahout.ep.EvolutionaryProcess

Creates an evolutionary optimization framework with specified threadiness, population size and initial state.

EvolutionaryProcess.Function<T> - Interface in org.apache.mahout.ep

execute(Collection<Callable<Void>>, AtomicInteger, RunningAverageAndStdDev) - Static method in class org.apache.mahout.cf.taste.impl.eval.AbstractDifferenceRecommenderEvaluator

exponential() - Static method in class org.apache.mahout.ep.Mapping

Maps results to positive values.

exponential(double) - Static method in class org.apache.mahout.ep.Mapping

Maps results to positive values.

exportWithIDsOnly() - Method in interface org.apache.mahout.cf.taste.model.JDBCDataModel

exportWithPrefs() - Method in interface org.apache.mahout.cf.taste.model.JDBCDataModel

Hmm, should this exist elsewhere? seems like most relevant for a DB implementation, which is not in memory, which might want to export to memory.

extractLabels() - Method in class org.apache.mahout.classifier.df.data.Data

extract the labels of all instances

extractRawData(Matrix) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDHelper

extracts row-wise raw data from a Mahout matrix for 3rd party solvers.

F

Factorization - Class in org.apache.mahout.cf.taste.impl.recommender.svd

a factorization of the rating matrix

Factorization(FastByIDMap<Integer>, FastByIDMap<Integer>, double[][], double[][]) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization

FactorizationEvaluator - Class in org.apache.mahout.cf.taste.hadoop.als

Measures the root-mean-squared error of a rating matrix factorization against a test set.

FactorizationEvaluator() - Constructor for class org.apache.mahout.cf.taste.hadoop.als.FactorizationEvaluator

FactorizationEvaluator.PredictRatingsMapper - Class in org.apache.mahout.cf.taste.hadoop.als

FactorizationEvaluator.PredictRatingsMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.als.FactorizationEvaluator.PredictRatingsMapper

factorize() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ALSWRFactorizer

factorize() - Method in interface org.apache.mahout.cf.taste.impl.recommender.svd.Factorizer

factorize() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer

factorize() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer

factorize() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.SVDPlusPlusFactorizer

Factorizer - Interface in org.apache.mahout.cf.taste.impl.recommender.svd

Implementation must be able to create a factorization of a rating matrix

FastByIDMap<V> - Class in org.apache.mahout.cf.taste.impl.common

FastByIDMap() - Constructor for class org.apache.mahout.cf.taste.impl.common.FastByIDMap

Creates a new FastByIDMap with default capacity.

FastByIDMap(int) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastByIDMap

FastByIDMap(int, float) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastByIDMap

FastByIDMap(int, int) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastByIDMap

FastByIDMap(int, int, float) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastByIDMap

Creates a new FastByIDMap whose capacity can accommodate the given number of entries without rehash.

FastIDSet - Class in org.apache.mahout.cf.taste.impl.common

FastIDSet() - Constructor for class org.apache.mahout.cf.taste.impl.common.FastIDSet

Creates a new FastIDSet with default capacity.

FastIDSet(long[]) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastIDSet

FastIDSet(int) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastIDSet

FastIDSet(int, float) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastIDSet

FastMap<K,V> - Class in org.apache.mahout.cf.taste.impl.common

This is an optimized Map implementation, based on algorithms described in Knuth's "Art of Computer Programming", Vol.

FastMap() - Constructor for class org.apache.mahout.cf.taste.impl.common.FastMap

Creates a new FastMap with default capacity.

FastMap(int) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastMap

FastMap(Map<K, V>) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastMap

FastMap(int, float) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastMap

FastMap(int, int) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastMap

FastMap(int, int, float) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastMap

Creates a new whose capacity can accommodate the given number of entries without rehash.

FastProjectionSearch - Class in org.apache.mahout.math.neighborhood

Does approximate nearest neighbor search by projecting the vectors similar to ProjectionSearch.

FastProjectionSearch(DistanceMeasure, int, int) - Constructor for class org.apache.mahout.math.neighborhood.FastProjectionSearch

FEATURE_COUNT - Static variable in class org.apache.mahout.vectorizer.tfidf.TFIDFConverter

FEATURE_OFFSET - Static variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer

FeatureVectorEncoder - Class in org.apache.mahout.vectorizer.encoders

General interface for objects that record features into a feature vector.

FeatureVectorEncoder(String) - Constructor for class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder

FeatureVectorEncoder(String, int) - Constructor for class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder

featureWeight(int) - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel

featureWeight(int) - Method in class org.apache.mahout.classifier.naivebayes.training.ComplementaryThetaTrainer

fetchVector(Path, int) - Method in class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState

FileDataModel - Class in org.apache.mahout.cf.taste.impl.model.file

A DataModel backed by a delimited file.

FileDataModel(File) - Constructor for class org.apache.mahout.cf.taste.impl.model.file.FileDataModel

FileDataModel(File, String) - Constructor for class org.apache.mahout.cf.taste.impl.model.file.FileDataModel

FileDataModel(File, boolean, long) - Constructor for class org.apache.mahout.cf.taste.impl.model.file.FileDataModel

FileDataModel(File, boolean, long, String) - Constructor for class org.apache.mahout.cf.taste.impl.model.file.FileDataModel

FileIDMigrator - Class in org.apache.mahout.cf.taste.impl.model.file

An IDMigrator backed by a file.

FileIDMigrator(File) - Constructor for class org.apache.mahout.cf.taste.impl.model.file.FileIDMigrator

FileIDMigrator(File, long) - Constructor for class org.apache.mahout.cf.taste.impl.model.file.FileIDMigrator

FileItemSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity.file

An ItemSimilarity backed by a comma-delimited file.

FileItemSimilarity(File) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.file.FileItemSimilarity

FileItemSimilarity(File, long) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.file.FileItemSimilarity

FileLineIterable - Class in org.apache.mahout.common.iterator

Iterable representing the lines of a text file.

FileLineIterable(File) - Constructor for class org.apache.mahout.common.iterator.FileLineIterable

Creates a FileLineIterable over a given file, assuming a UTF-8 encoding.

FileLineIterable(File, boolean) - Constructor for class org.apache.mahout.common.iterator.FileLineIterable

Creates a FileLineIterable over a given file, assuming a UTF-8 encoding.

FileLineIterable(File, Charset, boolean) - Constructor for class org.apache.mahout.common.iterator.FileLineIterable

Creates a FileLineIterable over a given file, using the given encoding.

FileLineIterable(InputStream) - Constructor for class org.apache.mahout.common.iterator.FileLineIterable

FileLineIterable(InputStream, boolean) - Constructor for class org.apache.mahout.common.iterator.FileLineIterable

FileLineIterable(InputStream, Charset, boolean) - Constructor for class org.apache.mahout.common.iterator.FileLineIterable

FileLineIterable(InputStream, Charset, boolean, String) - Constructor for class org.apache.mahout.common.iterator.FileLineIterable

FileLineIterator - Class in org.apache.mahout.common.iterator

Iterates over the lines of a text file.

FileLineIterator(File) - Constructor for class org.apache.mahout.common.iterator.FileLineIterator

Creates a FileLineIterator over a given file, assuming a UTF-8 encoding.

FileLineIterator(File, boolean) - Constructor for class org.apache.mahout.common.iterator.FileLineIterator

Creates a FileLineIterator over a given file, assuming a UTF-8 encoding.

FileLineIterator(File, Charset, boolean) - Constructor for class org.apache.mahout.common.iterator.FileLineIterator

Creates a FileLineIterator over a given file, using the given encoding.

FileLineIterator(InputStream) - Constructor for class org.apache.mahout.common.iterator.FileLineIterator

FileLineIterator(InputStream, boolean) - Constructor for class org.apache.mahout.common.iterator.FileLineIterator

FileLineIterator(InputStream, Charset, boolean) - Constructor for class org.apache.mahout.common.iterator.FileLineIterator

FileLineIterator(InputStream, Charset, boolean, String) - Constructor for class org.apache.mahout.common.iterator.FileLineIterator

FilePersistenceStrategy - Class in org.apache.mahout.cf.taste.impl.recommender.svd

Provides a file-based persistent store.

FilePersistenceStrategy(File) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.FilePersistenceStrategy

FileSimilarItemsWriter - Class in org.apache.mahout.cf.taste.impl.similarity.precompute

Persist the precomputed item similarities to a file that can later be used by a FileItemSimilarity

FileSimilarItemsWriter(File) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.precompute.FileSimilarItemsWriter

FINAL_ITERATION_SUFFIX - Static variable in interface org.apache.mahout.clustering.Cluster

finalLayerIndex - Variable in class org.apache.mahout.classifier.mlp.NeuralNetwork

Deprecated.

finalPartFilter() - Static method in class org.apache.mahout.common.iterator.sequencefile.PathFilters

findInCacheByPartOfFilename(String, URI[]) - Static method in class org.apache.mahout.common.HadoopUtil

Finds a file in the DistributedCache

firstLine(String) - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory

Processes the first line of a file (which should contain the variable names).

firstLine(String) - Method in interface org.apache.mahout.classifier.sgd.RecordFactory

FixedRunningAverage - Class in org.apache.mahout.cf.taste.impl.common

A simple class that represents a fixed value of an average and count.

FixedRunningAverage(double, int) - Constructor for class org.apache.mahout.cf.taste.impl.common.FixedRunningAverage

FixedRunningAverageAndStdDev - Class in org.apache.mahout.cf.taste.impl.common

A simple class that represents a fixed value of an average, count and standard deviation.

FixedRunningAverageAndStdDev(double, double, int) - Constructor for class org.apache.mahout.cf.taste.impl.common.FixedRunningAverageAndStdDev

FixedSizeSamplingIterator<T> - Class in org.apache.mahout.common.iterator

Sample a fixed number of elements from an Iterator.

FixedSizeSamplingIterator(int, Iterator<T>) - Constructor for class org.apache.mahout.common.iterator.FixedSizeSamplingIterator

flush(double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder

Adds all of the tokens that we counted up to a vector.

ForestVisualizer - Class in org.apache.mahout.classifier.df.tools

This tool is to visualize the Decision Forest

formatCluster(Kluster) - Static method in class org.apache.mahout.clustering.kmeans.Kluster

Format the cluster for output

formatVector(Vector, String[]) - Static method in class org.apache.mahout.clustering.AbstractCluster

Return a human-readable formatted string representation of the vector, not intended to be complete nor usable as an input/output representation

formatVectorAsJson(Vector, String[]) - Static method in class org.apache.mahout.clustering.AbstractCluster

Create a List of HashMaps containing vector terms and weights

forward(int, Vector) - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork

Deprecated.

Forward the calculation for one layer.

forwardAlgorithm(HmmModel, int[], boolean) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmAlgorithms

External function to compute a matrix of alpha factors

freeze(State<AdaptiveLogisticRegression.Wrapper, CrossFoldLearner>) - Static method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper

Frequencies - Class in org.apache.mahout.classifier.df.tools

Compute the frequency distribution of the "class label"
This class can be used when the criterion variable is the categorical attribute.

FrequenciesJob - Class in org.apache.mahout.classifier.df.tools

Temporary class used to compute the frequency distribution of the "class attribute".
This class can be used when the criterion variable is the categorical attribute.

FrequenciesJob(Path, Path, Path) - Constructor for class org.apache.mahout.classifier.df.tools.FrequenciesJob

FREQUENCY_FILE - Static variable in class org.apache.mahout.vectorizer.tfidf.TFIDFConverter

fromJSON(String) - Static method in class org.apache.mahout.classifier.df.data.Dataset

De-serialize an instance from a string

fromList(Iterable<String>) - Static method in class org.apache.mahout.vectorizer.encoders.Dictionary

fromRho(double, double[]) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver

fromString(String) - Static method in class org.apache.mahout.common.StringUtils

Restores the object from its string representation.

FullRunningAverage - Class in org.apache.mahout.cf.taste.impl.common

A simple class that can keep track of a running average of a series of numbers.

FullRunningAverage() - Constructor for class org.apache.mahout.cf.taste.impl.common.FullRunningAverage

FullRunningAverage(int, double) - Constructor for class org.apache.mahout.cf.taste.impl.common.FullRunningAverage

FullRunningAverageAndStdDev - Class in org.apache.mahout.cf.taste.impl.common

Extends FullRunningAverage to add a running standard deviation computation.

FullRunningAverageAndStdDev() - Constructor for class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev

FullRunningAverageAndStdDev(int, double, double, double) - Constructor for class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev

FuzzyKMeansClusterer - Class in org.apache.mahout.clustering.fuzzykmeans

FuzzyKMeansClusterer() - Constructor for class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer

FuzzyKMeansClusteringPolicy - Class in org.apache.mahout.clustering.iterator

This is a probability-weighted clustering policy, suitable for fuzzy k-means clustering

FuzzyKMeansClusteringPolicy() - Constructor for class org.apache.mahout.clustering.iterator.FuzzyKMeansClusteringPolicy

FuzzyKMeansClusteringPolicy(double, double) - Constructor for class org.apache.mahout.clustering.iterator.FuzzyKMeansClusteringPolicy

FuzzyKMeansDriver - Class in org.apache.mahout.clustering.fuzzykmeans

FuzzyKMeansDriver() - Constructor for class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver

G

GaussianAccumulator - Interface in org.apache.mahout.clustering

generateAllGrams(Path, Path, Configuration, int, int, float, int) - Static method in class org.apache.mahout.vectorizer.collocations.llr.CollocDriver

Generate all ngrams for the DictionaryVectorizer job

generateBasisNormal(int, int) - Static method in class org.apache.mahout.math.random.RandomProjector

Generates a basis matrix of size projectedVectorSize x vectorSize.

generateBasisPlusMinusOne(int, int) - Static method in class org.apache.mahout.math.random.RandomProjector

Generates a basis matrix of size projectedVectorSize x vectorSize.

generateBasisZeroPlusMinusOne(int, int) - Static method in class org.apache.mahout.math.random.RandomProjector

Generates a basis matrix of size projectedVectorSize x vectorSize.

generateDataset(CharSequence, boolean, FileSystem, Path) - Static method in class org.apache.mahout.classifier.df.data.DataLoader

Generates the Dataset by parsing the entire data

generateDataset(CharSequence, boolean, String[]) - Static method in class org.apache.mahout.classifier.df.data.DataLoader

Generates the Dataset by parsing the entire data

generateDescriptor(CharSequence) - Static method in class org.apache.mahout.classifier.df.data.DescriptorUtils

Generates a valid descriptor string from a user-friendly representation.
for example "3 N I N N 2 C L 5 I" generates "N N N I N N C C L I I I I I".
this useful when describing datasets with a large number of attributes

generateDescriptor(Iterable<String>) - Static method in class org.apache.mahout.classifier.df.data.DescriptorUtils

Generates a valid descriptor string from a list of tokens

generateNGrams() - Method in class org.apache.mahout.common.nlp.NGrams

generateNGramsWithoutLabel() - Method in class org.apache.mahout.common.nlp.NGrams

generateVectorBasis(int, int) - Static method in class org.apache.mahout.math.random.RandomProjector

Generates a list of projectedVectorSize vectors, each of size vectorSize.

GenericBooleanPrefDataModel - Class in org.apache.mahout.cf.taste.impl.model

A simple DataModel which uses given user data as its data source.

GenericBooleanPrefDataModel(FastByIDMap<FastIDSet>) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel

Creates a new GenericDataModel from the given users (and their preferences).

GenericBooleanPrefDataModel(FastByIDMap<FastIDSet>, FastByIDMap<FastByIDMap<Long>>) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel

Creates a new GenericDataModel from the given users (and their preferences).

GenericBooleanPrefDataModel(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel

Deprecated.

without direct replacement. Consider GenericBooleanPrefDataModel.toDataMap(DataModel) with GenericBooleanPrefDataModel.GenericBooleanPrefDataModel(FastByIDMap)

GenericBooleanPrefItemBasedRecommender - Class in org.apache.mahout.cf.taste.impl.recommender

A variant on GenericItemBasedRecommender which is appropriate for use when no notion of preference value exists in the data.

GenericBooleanPrefItemBasedRecommender(DataModel, ItemSimilarity) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericBooleanPrefItemBasedRecommender

GenericBooleanPrefItemBasedRecommender(DataModel, ItemSimilarity, CandidateItemsStrategy, MostSimilarItemsCandidateItemsStrategy) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericBooleanPrefItemBasedRecommender

GenericBooleanPrefUserBasedRecommender - Class in org.apache.mahout.cf.taste.impl.recommender

A variant on GenericUserBasedRecommender which is appropriate for use when no notion of preference value exists in the data.

GenericBooleanPrefUserBasedRecommender(DataModel, UserNeighborhood, UserSimilarity) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericBooleanPrefUserBasedRecommender

GenericDataModel - Class in org.apache.mahout.cf.taste.impl.model

A simple DataModel which uses a given List of users as its data source.

GenericDataModel(FastByIDMap<PreferenceArray>) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericDataModel

Creates a new GenericDataModel from the given users (and their preferences).

GenericDataModel(FastByIDMap<PreferenceArray>, FastByIDMap<FastByIDMap<Long>>) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericDataModel

Creates a new GenericDataModel from the given users (and their preferences).

GenericDataModel(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericDataModel

Deprecated.

without direct replacement. Consider GenericDataModel.toDataMap(DataModel) with GenericDataModel.GenericDataModel(FastByIDMap)

GenericItemBasedRecommender - Class in org.apache.mahout.cf.taste.impl.recommender

A simple Recommender which uses a given DataModel and ItemSimilarity to produce recommendations.

GenericItemBasedRecommender(DataModel, ItemSimilarity, CandidateItemsStrategy, MostSimilarItemsCandidateItemsStrategy) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender

GenericItemBasedRecommender(DataModel, ItemSimilarity) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender

GenericItemBasedRecommender.MostSimilarEstimator - Class in org.apache.mahout.cf.taste.impl.recommender

GenericItemBasedRecommender.MostSimilarEstimator(long, ItemSimilarity, Rescorer<LongPair>) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender.MostSimilarEstimator

GenericItemPreferenceArray - Class in org.apache.mahout.cf.taste.impl.model

Like GenericUserPreferenceArray but stores preferences for one item (all item IDs the same) rather than one user.

GenericItemPreferenceArray(int) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray

GenericItemPreferenceArray(List<? extends Preference>) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray

GenericItemSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity

A "generic" ItemSimilarity which takes a static list of precomputed item similarities and bases its responses on that alone.

GenericItemSimilarity(Iterable<GenericItemSimilarity.ItemItemSimilarity>) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity

Creates a GenericItemSimilarity from a precomputed list of GenericItemSimilarity.ItemItemSimilaritys.

GenericItemSimilarity(Iterable<GenericItemSimilarity.ItemItemSimilarity>, int) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity

Like GenericItemSimilarity.GenericItemSimilarity(Iterable), but will only keep the specified number of similarities from the given Iterable of similarities.

GenericItemSimilarity(ItemSimilarity, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity

Builds a list of item-item similarities given an ItemSimilarity implementation and a DataModel, rather than a list of GenericItemSimilarity.ItemItemSimilaritys.

GenericItemSimilarity(ItemSimilarity, DataModel, int) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity

Like GenericItemSimilarity.GenericItemSimilarity(ItemSimilarity, DataModel) )}, but will only keep the specified number of similarities from the given DataModel.

GenericItemSimilarity.ItemItemSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity

Encapsulates a similarity between two items.

GenericItemSimilarity.ItemItemSimilarity(long, long, double) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity

GenericPreference - Class in org.apache.mahout.cf.taste.impl.model

A simple Preference encapsulating an item and preference value.

GenericPreference(long, long, float) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericPreference

GenericRecommendedItem - Class in org.apache.mahout.cf.taste.impl.recommender

A simple implementation of RecommendedItem.

GenericRecommendedItem(long, float) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericRecommendedItem

GenericRecommenderIRStatsEvaluator - Class in org.apache.mahout.cf.taste.impl.eval

For each user, these implementation determine the top n preferences, then evaluate the IR statistics based on a DataModel that does not have these values.

GenericRecommenderIRStatsEvaluator() - Constructor for class org.apache.mahout.cf.taste.impl.eval.GenericRecommenderIRStatsEvaluator

GenericRecommenderIRStatsEvaluator(RelevantItemsDataSplitter) - Constructor for class org.apache.mahout.cf.taste.impl.eval.GenericRecommenderIRStatsEvaluator

GenericRelevantItemsDataSplitter - Class in org.apache.mahout.cf.taste.impl.eval

Picks relevant items to be those with the strongest preference, and includes the other users' preferences in full.

GenericRelevantItemsDataSplitter() - Constructor for class org.apache.mahout.cf.taste.impl.eval.GenericRelevantItemsDataSplitter

GenericUserBasedRecommender - Class in org.apache.mahout.cf.taste.impl.recommender

A simple Recommender which uses a given DataModel and UserNeighborhood to produce recommendations.

GenericUserBasedRecommender(DataModel, UserNeighborhood, UserSimilarity) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender

GenericUserPreferenceArray - Class in org.apache.mahout.cf.taste.impl.model

Like GenericItemPreferenceArray but stores preferences for one user (all user IDs the same) rather than one item.

GenericUserPreferenceArray(int) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray

GenericUserPreferenceArray(List<? extends Preference>) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray

GenericUserSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity

GenericUserSimilarity(Iterable<GenericUserSimilarity.UserUserSimilarity>) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity

GenericUserSimilarity(Iterable<GenericUserSimilarity.UserUserSimilarity>, int) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity

GenericUserSimilarity(UserSimilarity, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity

GenericUserSimilarity(UserSimilarity, DataModel, int) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity

GenericUserSimilarity.UserUserSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity

GenericUserSimilarity.UserUserSimilarity(long, long, double) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity

get(K) - Method in class org.apache.mahout.cf.taste.impl.common.Cache

Returns cached value for a key.

get(long) - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap

get(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastMap

get(K) - Method in interface org.apache.mahout.cf.taste.impl.common.Retriever

get(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray

get(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray

get(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray

get(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray

get(int) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer.PreferenceShuffler

get(int) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray

get(int) - Method in class org.apache.mahout.classifier.df.data.Data

Returns the element at the specified position

get(int) - Method in class org.apache.mahout.classifier.df.data.Instance

Return the attribute at the specified position

get() - Method in class org.apache.mahout.common.parameters.AbstractParameter

get(String) - Method in class org.apache.mahout.common.Parameters

get(String, String) - Method in class org.apache.mahout.common.Parameters

get() - Method in interface org.apache.mahout.common.parameters.Parameter

get(int) - Method in class org.apache.mahout.ep.State

Returns a transformed parameter.

get() - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.MutableElement

getAbtBlockHeight() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver

getAccuracy(String) - Method in class org.apache.mahout.classifier.ConfusionMatrix

getAccuracy() - Method in class org.apache.mahout.classifier.ConfusionMatrix

getActual() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.TrainingExample

getAdjustedRandIndex(Matrix) - Static method in class org.apache.mahout.clustering.ClusteringUtils

Computes the Adjusted Rand Index for a given confusion matrix.

getAllOtherItems(long, PreferenceArray, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender

getAllOtherItems(long[], long, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericBooleanPrefUserBasedRecommender

getAllOtherItems(long[], long, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender

getAnalyzerClassFromOption() - Method in class org.apache.mahout.common.AbstractJob

getAnalyzerClassName() - Method in class org.apache.mahout.vectorizer.VectorizerConfig

getAttr() - Method in class org.apache.mahout.classifier.df.split.Split

getAttribute(int) - Method in class org.apache.mahout.classifier.df.data.Dataset

getAucEvaluator() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner

getAverage() - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverage

getAverage() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverage

getAverage() - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverage

getAverage() - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev

getAverage() - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverage

getAverage() - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage

getAverageStd() - Method in interface org.apache.mahout.clustering.GaussianAccumulator

getAverageStd() - Method in class org.apache.mahout.clustering.OnlineGaussianAccumulator

getAverageStd() - Method in class org.apache.mahout.clustering.RunningSumsGaussianAccumulator

getBaseGradient() - Method in class org.apache.mahout.classifier.sgd.RankingGradient

getBasisVector(int) - Method in class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState

getBest() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression

getBestCentroids(List<Centroid>, Configuration) - Static method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansReducer

getBeta() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression

getBlock() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.DenseBlockWritable

getBottomLevelClusterPath(Path, String) - Static method in class org.apache.mahout.clustering.topdown.PathDirectory

Each cluster produced by top level clustering is processed in output/"bottomLevelCluster"/clusterId.

getBuffer() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression

getBytes() - Method in class org.apache.mahout.common.IntPairWritable

getBytes() - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram

getBytes() - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKey

getCachedFiles(Configuration) - Static method in class org.apache.mahout.common.HadoopUtil

Retrieves paths to cached files.

getCandidateItems(long, PreferenceArray, DataModel, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractCandidateItemsStrategy

getCandidateItems(long[], DataModel) - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractCandidateItemsStrategy

getCandidateItems(long, PreferenceArray, DataModel, boolean) - Method in interface org.apache.mahout.cf.taste.recommender.CandidateItemsStrategy

getCandidateItems(long[], DataModel) - Method in interface org.apache.mahout.cf.taste.recommender.MostSimilarItemsCandidateItemsStrategy

getCandidateQueue(int) - Static method in class org.apache.mahout.math.neighborhood.Searcher

Returns a bounded size priority queue, in reverse order that keeps track of the best nearest neighbor vectors.

getCardinality() - Method in class org.apache.mahout.vectorizer.VectorizerConfig

getCategory(int) - Method in class org.apache.mahout.classifier.sgd.ModelDissector.Weight

getCenter() - Method in class org.apache.mahout.clustering.AbstractCluster

getCenter() - Method in interface org.apache.mahout.clustering.Cluster

Get the "center" of the Cluster as a Vector

getCenters(Iterable<Canopy>) - Static method in class org.apache.mahout.clustering.canopy.CanopyClusterer

Deprecated.

Iterate through the canopies, adding their centroids to a list

getCentroid() - Method in class org.apache.mahout.clustering.streaming.mapreduce.CentroidWritable

getCentroidsFromVectorWritable(Iterable<VectorWritable>) - Static method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansUtilsMR

Returns an Iterable of centroids from an Iterable of VectorWritables by creating a new Centroid containing a RandomAccessSparseVector as a delegate for each VectorWritable.

getChunkSizeInMegabytes() - Method in class org.apache.mahout.vectorizer.VectorizerConfig

getClassname() - Method in enum org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.VectorSimilarityMeasures

getCleanedEigensPath() - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob

Deprecated.

getCLIOption(String) - Method in class org.apache.mahout.common.AbstractJob

getClusterIDs(Path, Configuration, boolean) - Static method in class org.apache.mahout.clustering.topdown.postprocessor.ClusterCountReader

Generates a list of all cluster ids by reading the clusters-*-final file.

getClusterOutputClusteredPoints(Path) - Static method in class org.apache.mahout.clustering.topdown.PathDirectory

The top level clustered points before post processing is generated here.

getClusterPathForClusterId(Path, String) - Static method in class org.apache.mahout.clustering.topdown.PathDirectory

Each clusters path name is its clusterId.

getClusterPostProcessorOutputDirectory(Path) - Static method in class org.apache.mahout.clustering.topdown.PathDirectory

The output of top level clusters is post processed and kept in this path.

getCnt() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver

getCol() - Method in class org.apache.mahout.clustering.spectral.VertexWritable

getCol() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable

getConf() - Method in class org.apache.mahout.clustering.lda.cvb.InMemoryCollapsedVariationalBayes0

getConf() - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel

getConf() - Method in class org.apache.mahout.common.AbstractJob

getConf() - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver.DistributedLanczosSolverJob

Deprecated.

getConf() - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver

Deprecated.

getConf() - Method in class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState

getConf() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix

getConf() - Method in class org.apache.mahout.math.hadoop.solver.DistributedConjugateGradientSolver.DistributedConjugateGradientSolverJob

getConf() - Method in class org.apache.mahout.math.hadoop.solver.DistributedConjugateGradientSolver

getConf() - Method in class org.apache.mahout.vectorizer.VectorizerConfig

getConfusionMatrix() - Method in class org.apache.mahout.classifier.ConfusionMatrix

getConfusionMatrix() - Method in class org.apache.mahout.classifier.ResultAnalyzer

getConfusionMatrix(List<? extends Vector>, List<? extends Vector>, Iterable<? extends Vector>, DistanceMeasure) - Static method in class org.apache.mahout.clustering.ClusteringUtils

Creates a confusion matrix by searching for the closest cluster of both the row clustering and column clustering of a point and adding its weight to that cell of the matrix.

getCorrect(String) - Method in class org.apache.mahout.classifier.ConfusionMatrix

getCosAngleError() - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVector

getCosAngleError(CharSequence) - Static method in class org.apache.mahout.math.hadoop.decomposer.EigenVector

getCount() - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverage

getCount() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverage

getCount() - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverage

getCount() - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev

getCount() - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverage

getCount() - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage

getCount(String, String) - Method in class org.apache.mahout.classifier.ConfusionMatrix

getCumulativeInitialProbabilities(HmmModel) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmUtils

Compute the cumulative distribution of the initial hidden state probabilities for the given HMM model.

getCumulativeOutputMatrix(HmmModel) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmUtils

Compute the cumulative output probability matrix for the given HMM model.

getCumulativeTransitionMatrix(HmmModel) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmUtils

Compute the cumulative transition probability matrix for the given HMM model.

getCurrentKey() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader

getCurrentValue() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader

getCustomJobName(String, JobContext, Class<? extends Mapper>, Class<? extends Reducer>) - Static method in class org.apache.mahout.common.HadoopUtil

getDataFile() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel

getDataModel() - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender

getDataModel() - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender

getDataModel() - Method in class org.apache.mahout.cf.taste.impl.similarity.AbstractItemSimilarity

getDataModel() - Method in interface org.apache.mahout.cf.taste.recommender.Recommender

getDataPath() - Method in class org.apache.mahout.classifier.df.mapreduce.Builder

getDataset() - Method in class org.apache.mahout.classifier.df.data.Data

getDataset() - Method in class org.apache.mahout.classifier.df.mapreduce.MapredMapper

getDataSource() - Method in interface org.apache.mahout.cf.taste.model.JDBCDataModel

getDefaultCandidateItemsStrategy() - Static method in class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender

getDefaultLabel() - Method in class org.apache.mahout.classifier.ConfusionMatrix

getDefaultMostSimilarItemsCandidateItemsStrategy() - Static method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender

getDelegate() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel

getDerivativeDoubleDoubleFunction(String) - Static method in class org.apache.mahout.classifier.mlp.NeuralNetworkFunctions

Deprecated.

Get the corresponding derivation of double double function by the name.

getDerivativeDoubleFunction(String) - Static method in class org.apache.mahout.classifier.mlp.NeuralNetworkFunctions

Deprecated.

Get the derivation double function by the name.

getDiagonalMatrix() - Method in class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState

getDictionary() - Method in class org.apache.mahout.vectorizer.encoders.AdaptiveWordValueEncoder

getDimensions(Path) - Method in class org.apache.mahout.common.AbstractJob

Get the cardinality of the input vectors

getDistanceCutoff() - Method in class org.apache.mahout.clustering.streaming.cluster.StreamingKMeans

getDistanceMeasure() - Method in class org.apache.mahout.clustering.streaming.cluster.StreamingKMeans

getDistanceMeasure() - Method in class org.apache.mahout.math.neighborhood.Searcher

getDistributedCacheFile(Configuration, int) - Static method in class org.apache.mahout.classifier.df.mapreduce.Builder

Helper method.

getDoubleDoubleFunction(String) - Static method in class org.apache.mahout.classifier.mlp.NeuralNetworkFunctions

Deprecated.

Get the corresponding double-double function by the name.

getDoubleFunction(String) - Static method in class org.apache.mahout.classifier.mlp.NeuralNetworkFunctions

Deprecated.

Get the corresponding function by its name.

getEigenValue() - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVector

getEigenValue(CharSequence) - Static method in class org.apache.mahout.math.hadoop.decomposer.EigenVector

getEmissionMatrix() - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel

Getter function to get the output state probability matrix

getEncoderClass() - Method in class org.apache.mahout.vectorizer.VectorizerConfig

getEncoderName() - Method in class org.apache.mahout.vectorizer.VectorizerConfig

getEntries() - Method in class org.apache.mahout.common.IntegerTuple

Fetch the list of entries from the tuple

getEntries() - Method in class org.apache.mahout.common.StringTuple

Fetch the list of entries from the tuple

getEp() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression

getExponent() - Method in class org.apache.mahout.common.distance.MinkowskiDistanceMeasure

getF1Measure() - Method in interface org.apache.mahout.cf.taste.eval.IRStatistics

See F-measure.

getF1Measure() - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl

getF1score(String) - Method in class org.apache.mahout.classifier.ConfusionMatrix

getFallOut() - Method in interface org.apache.mahout.cf.taste.eval.IRStatistics

See Fall-Out.

getFallOut() - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl

getFeature() - Method in class org.apache.mahout.classifier.sgd.ModelDissector.Weight

getFetchSize() - Method in class org.apache.mahout.cf.taste.impl.common.jdbc.AbstractJDBCComponent

getFileStatus(Path, PathType, PathFilter, Comparator<FileStatus>, Configuration) - Static method in class org.apache.mahout.common.HadoopUtil

getFirst() - Method in class org.apache.mahout.common.IntPairWritable

getFirst() - Method in class org.apache.mahout.common.LongPair

getFirst() - Method in class org.apache.mahout.common.Pair

getFirstId() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit

getFirstTreeId() - Method in class org.apache.mahout.classifier.df.mapreduce.partial.Step1Mapper

getFloat(String) - Method in class org.apache.mahout.common.AbstractJob

getFloat(String, float) - Method in class org.apache.mahout.common.AbstractJob

getFNMeasure(double) - Method in interface org.apache.mahout.cf.taste.eval.IRStatistics

See F-measure.

getFNMeasure(double) - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl

getFrequency() - Method in class org.apache.mahout.common.IntPairWritable.Frequency

getFrequency() - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram

getGroup() - Method in class org.apache.mahout.common.AbstractJob

getGroupKey() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.TrainingExample

getHash() - Method in class org.apache.mahout.math.neighborhood.HashedVector

getHiddenStateID(String) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel

Lookup the ID for the given hidden state name

getHiddenStateName(int) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel

Lookup the name for the given hidden state ID

getHiddenStateNames() - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel

Getter method for the hidden state Names map

getID() - Method in class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable

getId() - Method in class org.apache.mahout.clustering.AbstractCluster

getId() - Method in interface org.apache.mahout.clustering.Cluster

Get the id of the Cluster

getId() - Method in class org.apache.mahout.ep.State

getIdentifier() - Method in class org.apache.mahout.clustering.AbstractCluster

getIdentifier() - Method in class org.apache.mahout.clustering.canopy.Canopy

Deprecated.

getIdentifier() - Method in class org.apache.mahout.clustering.fuzzykmeans.SoftCluster

getIdentifier() - Method in class org.apache.mahout.clustering.iterator.DistanceMeasureCluster

getIdentifier() - Method in class org.apache.mahout.clustering.kmeans.Kluster

getIdName() - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory

getIDs() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray

getIDs() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray

getIDs() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray

getIDs() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray

getIDs() - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray

getIdString(CharSequence) - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory

Extract the id column value from the CSV record

getIg() - Method in class org.apache.mahout.classifier.df.split.Split

getIgnored() - Method in class org.apache.mahout.classifier.df.data.Dataset

getIndex() - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVector

getIndex(CharSequence) - Static method in class org.apache.mahout.math.hadoop.decomposer.EigenVector

getInitialProbabilities() - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel

Getter function to return the vector of initial hidden state probabilities

getInitialVector(VectorIterable) - Static method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver

Deprecated.

For the distributed case, the best guess at a useful initialization state for Lanczos we'll chose to be uniform over all input dimensions, L_2 normalized.

getInputFile() - Method in class org.apache.mahout.common.AbstractJob

getInputPath() - Method in class org.apache.mahout.common.AbstractJob

Returns the input path established by a call to AbstractJob.parseArguments(String[]).

getInstance() - Static method in class org.apache.mahout.cf.taste.impl.recommender.ByValueRecommendedItemComparator

getInstance() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.TrainingExample

getInt(String) - Method in class org.apache.mahout.common.AbstractJob

getInt(String, int) - Method in class org.apache.mahout.common.AbstractJob

getInt(String, int) - Method in class org.apache.mahout.common.Parameters

getInverseCovarianceMatrix() - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure

getItemFeatures(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization

getItemID() - Method in class org.apache.mahout.cf.taste.hadoop.MutableRecommendedItem

getItemID(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray

getItemID() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanPreference

getItemID(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray

getItemID(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray

getItemID() - Method in class org.apache.mahout.cf.taste.impl.model.GenericPreference

getItemID(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray

getItemID() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericRecommendedItem

getItemID() - Method in interface org.apache.mahout.cf.taste.model.Preference

getItemID(int) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray

getItemID() - Method in interface org.apache.mahout.cf.taste.recommender.RecommendedItem

getItemID() - Method in class org.apache.mahout.cf.taste.similarity.precompute.SimilarItem

getItemID() - Method in class org.apache.mahout.cf.taste.similarity.precompute.SimilarItems

getItemID1() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity

getItemID2() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity

getItemIDMappingKeys() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization

getItemIDMappings() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization

getItemIds() - Method in class org.apache.mahout.cf.taste.hadoop.item.IDReader

getItemIDs() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel

getItemIDs() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel

getItemIDs() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel

getItemIDs() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel

getItemIDs() - Method in interface org.apache.mahout.cf.taste.model.DataModel

getItemIDsFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel

getItemIDsFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel

getItemIDsFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel

getItemIDsFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel

getItemIDsFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel

getItemIDsFromUser(long) - Method in interface org.apache.mahout.cf.taste.model.DataModel

getItemInstance() - Static method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer

getItemItemPairInstance() - Static method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer

getItemsToRecommendForUser(Long) - Method in class org.apache.mahout.cf.taste.hadoop.item.IDReader

Gets a collection of items which should be recommended for a user

getKappa() - Method in class org.apache.mahout.classifier.ConfusionMatrix

Accuracy v.s.

getKey() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.TrainingExample

getKey() - Method in class org.apache.mahout.clustering.spectral.IntDoublePairWritable

getKeyClass() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileIterator

getKP() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRFirstStep

getLabel() - Method in class org.apache.mahout.classifier.ClassifierResult

getLabel(Instance) - Method in class org.apache.mahout.classifier.df.data.Dataset

getLabelId() - Method in class org.apache.mahout.classifier.df.data.Dataset

getLabels() - Method in class org.apache.mahout.classifier.ConfusionMatrix

getLabels() - Method in class org.apache.mahout.math.MultiLabelVectorWritable

getLabelString(double) - Method in class org.apache.mahout.classifier.df.data.Dataset

Returns the label value in the data This method can be used when the criterion variable is the categorical attribute.

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

getLayerSize(int) - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork

Deprecated.

Get the size of a particular layer.

getLayerSizeList() - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork

Deprecated.

Get the layer size list.

getLearner() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper

getLearningRate() - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork

Deprecated.

Get the value of learning rate.

getLength() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit

getLength() - Method in class org.apache.mahout.common.IntPairWritable

getLength() - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram

getLength() - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKey

getLocations() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit

getLogLikelihood() - Method in class org.apache.mahout.classifier.ClassifierResult

getLogLikelihood() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner

getM() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver

getMappedParams() - Method in class org.apache.mahout.ep.State

Returns all the parameters in mapped form.

getMaps() - Method in class org.apache.mahout.ep.State

getMatrix() - Method in class org.apache.mahout.classifier.ConfusionMatrix

getMaxImpact() - Method in class org.apache.mahout.classifier.sgd.ModelDissector.Weight

getMaxInterval() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression

getMaxIters() - Method in class org.apache.mahout.clustering.lda.cvb.CachingCVB0Mapper

getMaxNGramSize() - Method in class org.apache.mahout.vectorizer.VectorizerConfig

getMaxPreference() - Method in interface org.apache.mahout.cf.taste.eval.RecommenderEvaluator

Deprecated.

see DataModel.getMaxPreference()

getMaxPreference() - Method in class org.apache.mahout.cf.taste.impl.eval.AbstractDifferenceRecommenderEvaluator

getMaxPreference() - Method in class org.apache.mahout.cf.taste.impl.model.AbstractDataModel

getMaxPreference() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel

getMaxPreference() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel

getMaxPreference() - Method in interface org.apache.mahout.cf.taste.model.DataModel

getMaxTime() - Method in class org.apache.mahout.common.TimingStatistics

getMean() - Method in interface org.apache.mahout.clustering.GaussianAccumulator

getMean() - Method in class org.apache.mahout.clustering.OnlineGaussianAccumulator

getMean() - Method in class org.apache.mahout.clustering.RunningSumsGaussianAccumulator

getMeanTime() - Method in class org.apache.mahout.common.TimingStatistics

getMeanVector() - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure

getMeasure() - Method in class org.apache.mahout.clustering.iterator.DistanceMeasureCluster

getMinInterval() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression

getMinLLRValue() - Method in class org.apache.mahout.vectorizer.VectorizerConfig

getMinPreference() - Method in interface org.apache.mahout.cf.taste.eval.RecommenderEvaluator

Deprecated.

see DataModel.getMinPreference()

getMinPreference() - Method in class org.apache.mahout.cf.taste.impl.eval.AbstractDifferenceRecommenderEvaluator

getMinPreference() - Method in class org.apache.mahout.cf.taste.impl.model.AbstractDataModel

getMinPreference() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel

getMinPreference() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel

getMinPreference() - Method in interface org.apache.mahout.cf.taste.model.DataModel

getMinSupport() - Method in class org.apache.mahout.vectorizer.VectorizerConfig

getMinTime() - Method in class org.apache.mahout.common.TimingStatistics

getMk() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev

getModel() - Method in class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier

getModelPath() - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork

Deprecated.

Get the model path.

getModelPaths(Configuration) - Static method in class org.apache.mahout.clustering.lda.cvb.CVB0Driver

getModels() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner

getModels() - Method in class org.apache.mahout.clustering.classify.ClusterClassifier

getModelTrainer() - Method in class org.apache.mahout.clustering.lda.cvb.CachingCVB0Mapper

getModelType() - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork

Deprecated.

Get the type of the model.

getMomentumWeight() - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork

Deprecated.

Get the momentum weight.

getN() - Method in interface org.apache.mahout.clustering.GaussianAccumulator

getN() - Method in class org.apache.mahout.clustering.OnlineGaussianAccumulator

getN() - Method in class org.apache.mahout.clustering.RunningSumsGaussianAccumulator

getN() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver

getName() - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder

getNbTrees(Configuration) - Static method in class org.apache.mahout.classifier.df.mapreduce.Builder

Get the number of trees for the map-reduce job.

getNbTrees() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit

getNCalls() - Method in class org.apache.mahout.common.TimingStatistics

getNormalizedDiscountedCumulativeGain() - Method in interface org.apache.mahout.cf.taste.eval.IRStatistics

See Normalized Discounted Cumulative Gain.

getNormalizedDiscountedCumulativeGain() - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl

getNormalizedStats() - Method in class org.apache.mahout.classifier.ConfusionMatrix

Standard deviation of normalized producer accuracy Not a standard score

getNormPower() - Method in class org.apache.mahout.vectorizer.VectorizerConfig

getNrOfHiddenStates() - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel

Getter Method for the number of hidden states

getNrOfOutputStates() - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel

Getter Method for the number of output states

getNumberOfClusters(Path, Configuration) - Static method in class org.apache.mahout.clustering.topdown.postprocessor.ClusterCountReader

Reads the number of clusters present by reading the clusters-*-final file.

getNumCategories() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression

getNumClusters() - Method in class org.apache.mahout.clustering.streaming.cluster.StreamingKMeans

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

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

getNumItems() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel

getNumItems() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel

getNumItems() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel

getNumItems() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel

getNumItems() - Method in interface org.apache.mahout.cf.taste.model.DataModel

getNumMaps(Configuration) - Static method in class org.apache.mahout.classifier.df.mapreduce.Builder

Return the value of "mapred.map.tasks".

getNumObservations() - Method in class org.apache.mahout.clustering.AbstractCluster

getNumObservations() - Method in interface org.apache.mahout.clustering.Model

Return the number of observations that this model has seen since its parameters were last computed

getNumReducers() - Method in class org.apache.mahout.vectorizer.VectorizerConfig

getNumRows() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SparseRowBlockWritable

getNumTerms() - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel

getNumTopics() - Method in class org.apache.mahout.clustering.lda.cvb.CachingCVB0Mapper

getNumTopics() - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel

getNumUsers() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel

getNumUsers() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel

getNumUsers() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel

getNumUsers() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel

getNumUsers() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel

getNumUsers() - Method in interface org.apache.mahout.cf.taste.model.DataModel

getNumUsersWithPreferenceFor(long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel

getNumUsersWithPreferenceFor(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel

getNumUsersWithPreferenceFor(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel

getNumUsersWithPreferenceFor(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel

getNumUsersWithPreferenceFor(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel

getNumUsersWithPreferenceFor(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel

getNumUsersWithPreferenceFor(long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel

getNumUsersWithPreferenceFor(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel

getNumUsersWithPreferenceFor(long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel

getNumUsersWithPreferenceFor(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel

getNumUsersWithPreferenceFor(long) - Method in interface org.apache.mahout.cf.taste.model.DataModel

getNumUsersWithPreferenceFor(long, long) - Method in interface org.apache.mahout.cf.taste.model.DataModel

getOmni() - Method in class org.apache.mahout.ep.State

getOption(String) - Method in class org.apache.mahout.common.AbstractJob

getOption(String, String) - Method in class org.apache.mahout.common.AbstractJob

Get the option, else the default

getOption(Map<String, List<String>>, String) - Static method in class org.apache.mahout.common.AbstractJob

getOptions(String) - Method in class org.apache.mahout.common.AbstractJob

Options can occur multiple times, so return the list

getOuterBlockHeight() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver

getOutput(Vector) - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork

Deprecated.

Get the output calculated by the model.

getOutputFile() - Method in class org.apache.mahout.common.AbstractJob

getOutputInternal(Vector) - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork

Deprecated.

Calculate output internally, the intermediate output of each layer will be stored.

getOutputPath(Configuration) - Method in class org.apache.mahout.classifier.df.mapreduce.Builder

Output Directory name

getOutputPath() - Method in class org.apache.mahout.common.AbstractJob

Returns the output path established by a call to AbstractJob.parseArguments(String[]).

getOutputPath(String) - Method in class org.apache.mahout.common.AbstractJob

getOutputStateID(String) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel

Lookup the ID for the given output state name

getOutputStateName(int) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel

Lookup the name for the given output state id

getOutputStateNames() - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel

Getter method for the output state Names map

getOutputTempPath() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix

getPair() - Method in class org.apache.mahout.common.IntPairWritable.Frequency

getParameters() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner

getParameters() - Method in class org.apache.mahout.clustering.AbstractCluster

getParameters() - Method in class org.apache.mahout.common.distance.ChebyshevDistanceMeasure

getParameters() - Method in class org.apache.mahout.common.distance.CosineDistanceMeasure

getParameters() - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure

getParameters() - Method in class org.apache.mahout.common.distance.ManhattanDistanceMeasure

getParameters() - Method in class org.apache.mahout.common.distance.MinkowskiDistanceMeasure

getParameters() - Method in class org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure

getParameters() - Method in class org.apache.mahout.common.distance.WeightedDistanceMeasure

getParameters() - Method in class org.apache.mahout.common.parameters.AbstractParameter

getParameters() - Method in interface org.apache.mahout.common.parameters.Parametered

getParams() - Method in class org.apache.mahout.ep.State

getPartition(GramKey, Gram, int) - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKeyPartitioner

getPayload() - Method in class org.apache.mahout.ep.State

getPcaMeanPath() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver

Optional.

getPolicy() - Method in class org.apache.mahout.clustering.classify.ClusterClassifier

getPopulation() - Method in class org.apache.mahout.ep.EvolutionaryProcess

getPopulationSize() - Method in class org.apache.mahout.ep.EvolutionaryProcess

getPostProcessedClusterDirectories() - Method in class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessor

getPrecision() - Method in interface org.apache.mahout.cf.taste.eval.IRStatistics

See Precision.

getPrecision() - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl

getPrecision(String) - Method in class org.apache.mahout.classifier.ConfusionMatrix

getPredictors() - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory

Returns a list of the names of the predictor variables.

getPredictors() - Method in interface org.apache.mahout.classifier.sgd.RecordFactory

getPreferencesForItem(long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel

getPreferencesForItem(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel

getPreferencesForItem(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel

getPreferencesForItem(long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel

getPreferencesForItem(long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel

getPreferencesForItem(long) - Method in interface org.apache.mahout.cf.taste.model.DataModel

getPreferencesFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel

getPreferencesFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel

getPreferencesFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel

getPreferencesFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel

getPreferencesFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel

getPreferencesFromUser(long) - Method in interface org.apache.mahout.cf.taste.model.DataModel

getPreferenceTime(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel

getPreferenceTime(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel

getPreferenceTime(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel

getPreferenceTime(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel

getPreferenceTime(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel

getPreferenceTime(long, long) - Method in interface org.apache.mahout.cf.taste.model.DataModel

Retrieves the time at which a preference value from a user and item was set, if known.

getPreferenceValue(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel

getPreferenceValue(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel

getPreferenceValue(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel

getPreferenceValue(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel

getPreferenceValue(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel

getPreferenceValue(long, long) - Method in interface org.apache.mahout.cf.taste.model.DataModel

Retrieves the preference value for a single user and item.

getPrefValue() - Method in class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable

getPrefValue() - Method in class org.apache.mahout.cf.taste.hadoop.item.PrefAndSimilarityColumnWritable

getPrimaryLength() - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKey

getPrimaryString() - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKey

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

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

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

getProbes() - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder

getProgress() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader

getProperties() - Method in class org.apache.mahout.clustering.classify.WeightedPropertyVectorWritable

getQ() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver

getQuick(int, int) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.Omega

Get omega element at (x,y) uniformly distributed within [-1...1)

getRadius() - Method in class org.apache.mahout.clustering.AbstractCluster

getRadius() - Method in interface org.apache.mahout.clustering.Cluster

Get the "radius" of the Cluster as a Vector.

getRandomSeed(Configuration) - Static method in class org.apache.mahout.classifier.df.mapreduce.Builder

Returns the random seed

getRawItemData() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel

This is used mostly internally to the framework, and shouldn't be relied upon otherwise.

getRawItemData() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel

This is used mostly internally to the framework, and shouldn't be relied upon otherwise.

getRawUserData() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel

This is used mostly internally to the framework, and shouldn't be relied upon otherwise.

getRawUserData() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel

This is used mostly internally to the framework, and shouldn't be relied upon otherwise.

getReach() - Method in interface org.apache.mahout.cf.taste.eval.IRStatistics

getReach() - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl

getReadModel() - Method in class org.apache.mahout.clustering.lda.cvb.ModelTrainer

getRecall() - Method in interface org.apache.mahout.cf.taste.eval.IRStatistics

See Recall.

getRecall() - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl

getRecall(String) - Method in class org.apache.mahout.classifier.ConfusionMatrix

getRecommendedItems() - Method in class org.apache.mahout.cf.taste.hadoop.RecommendedItemsWritable

getRecommender() - Method in class org.apache.mahout.cf.taste.similarity.precompute.BatchItemSimilarities

getRecord() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression

getRecord() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner

getRegularizationWeight() - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork

Deprecated.

Get the weight of the regularization.

getRelevantItemsIDs(long, int, double, DataModel) - Method in interface org.apache.mahout.cf.taste.eval.RelevantItemsDataSplitter

During testing, relevant items are removed from a particular users' preferences, and a model is build using this user's other preferences and all other users.

getRelevantItemsIDs(long, int, double, DataModel) - Method in class org.apache.mahout.cf.taste.impl.eval.GenericRelevantItemsDataSplitter

getReliability() - Method in class org.apache.mahout.classifier.ConfusionMatrix

getResults() - Method in class org.apache.mahout.classifier.df.mapreduce.Classifier

getRightSingularVector(int) - Method in class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState

getRow() - Method in class org.apache.mahout.clustering.spectral.VertexWritable

getRow() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable

getRowIndices() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SparseRowBlockWritable

getRowPath() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix

getRows() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SparseRowBlockWritable

getRTilde() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver

getS0() - Method in class org.apache.mahout.clustering.AbstractCluster

getS1() - Method in class org.apache.mahout.clustering.AbstractCluster

getS2() - Method in class org.apache.mahout.clustering.AbstractCluster

getScaleFactor() - Method in class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState

getScore() - Method in class org.apache.mahout.classifier.ClassifierResult

getScoreForLabelFeature(int, int) - Method in class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier

getScoreForLabelFeature(int, int) - Method in class org.apache.mahout.classifier.naivebayes.ComplementaryNaiveBayesClassifier

getScoreForLabelFeature(int, int) - Method in class org.apache.mahout.classifier.naivebayes.StandardNaiveBayesClassifier

getScoreForLabelInstance(int, Vector) - Method in class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier

getSearchSize() - Method in class org.apache.mahout.math.neighborhood.LocalitySensitiveHashSearch

getSecond() - Method in class org.apache.mahout.common.IntPairWritable

getSecond() - Method in class org.apache.mahout.common.LongPair

getSecond() - Method in class org.apache.mahout.common.Pair

getSeed() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit

getSeed() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression

getSeed() - Method in class org.apache.mahout.vectorizer.encoders.CachingValueEncoder

getSeed() - Method in class org.apache.mahout.vectorizer.encoders.ConstantValueEncoder

getSeed() - Method in class org.apache.mahout.vectorizer.encoders.ContinuousValueEncoder

getSentinelObject() - Method in class org.apache.mahout.cf.taste.hadoop.similarity.item.TopSimilarItemsQueue

getSentinelObject() - Method in class org.apache.mahout.cf.taste.hadoop.TopItemsQueue

getSentinelObject() - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.TopElementsQueue

getSimilarItems() - Method in class org.apache.mahout.cf.taste.similarity.precompute.SimilarItems

getSimilarItemsPerItem() - Method in class org.apache.mahout.cf.taste.similarity.precompute.BatchItemSimilarities

getSimilarity() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender

getSimilarity() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender

getSimilarity() - Method in class org.apache.mahout.cf.taste.similarity.precompute.SimilarItem

getSimilarityColumn() - Method in class org.apache.mahout.cf.taste.hadoop.item.PrefAndSimilarityColumnWritable

getSingleCachedFile(Configuration) - Static method in class org.apache.mahout.common.HadoopUtil

Return the first cached file in the list, else null if thre are no cached files.

getSingularValues() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver

This contains k+p singular values resulted from the solver run.

getSingularValues() - Method in class org.apache.mahout.math.ssvd.SequentialOutOfCoreSvd

getSk() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev

getSplit() - Method in class org.apache.mahout.classifier.df.split.Split

getSplits(JobContext) - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat

getSplits(Configuration, int) - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat

getStandardDeviation() - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverageAndStdDev

getStandardDeviation() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev

getStandardDeviation() - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev

getStandardDeviation() - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverageAndStdDev

getStandardDeviation() - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverageAndStdDev

getStd() - Method in interface org.apache.mahout.clustering.GaussianAccumulator

getStd() - Method in class org.apache.mahout.clustering.OnlineGaussianAccumulator

getStd() - Method in class org.apache.mahout.clustering.RunningSumsGaussianAccumulator

getStdDevTime() - Method in class org.apache.mahout.common.TimingStatistics

getStep() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression

getStep() - Method in class org.apache.mahout.ep.State

getString() - Method in class org.apache.mahout.classifier.df.node.CategoricalNode

getString() - Method in class org.apache.mahout.classifier.df.node.Leaf

getString() - Method in class org.apache.mahout.classifier.df.node.Node

getString() - Method in class org.apache.mahout.classifier.df.node.NumericalNode

getString() - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram

getStringValue() - Method in class org.apache.mahout.common.parameters.AbstractParameter

getStringValue() - Method in class org.apache.mahout.common.parameters.ClassParameter

getStringValue() - Method in interface org.apache.mahout.common.parameters.Parameter

getSum() - Method in class org.apache.mahout.math.hadoop.stats.VarianceTotals

getSumOfSquares() - Method in class org.apache.mahout.math.hadoop.stats.VarianceTotals

getSumSquaredTime() - Method in class org.apache.mahout.common.TimingStatistics

getSumTime() - Method in class org.apache.mahout.common.TimingStatistics

getT1() - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer

Deprecated.

getT2() - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer

Deprecated.

getT3() - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer

Deprecated.

getT4() - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer

Deprecated.

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

getTargetCategories() - Method in interface org.apache.mahout.classifier.sgd.RecordFactory

getTargetLabel(int) - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory

Extract the corresponding raw target label according to a code

getTargetString(CharSequence) - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory

Extract the raw target string from a line read from a CSV file.

getTaskId() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable

getTaskItemOrdinal() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable

getTempPath() - Method in class org.apache.mahout.common.AbstractJob

getTempPath(String) - Method in class org.apache.mahout.common.AbstractJob

getTfDirName() - Method in class org.apache.mahout.vectorizer.VectorizerConfig

getThinQtTilde() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver

getThreadCount() - Method in class org.apache.mahout.ep.EvolutionaryProcess

getTiming() - Method in class org.apache.mahout.cf.taste.impl.eval.LoadStatistics

getTopElements() - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.TopElementsQueue

getTopItemItemSimilarities(int, Iterator<GenericItemSimilarity.ItemItemSimilarity>) - Static method in class org.apache.mahout.cf.taste.impl.recommender.TopItems

Thanks to tsmorton for suggesting this functionality and writing part of the code.

getTopItems() - Method in class org.apache.mahout.cf.taste.hadoop.similarity.item.TopSimilarItemsQueue

getTopItems() - Method in class org.apache.mahout.cf.taste.hadoop.TopItemsQueue

getTopItems(int, LongPrimitiveIterator, IDRescorer, TopItems.Estimator<Long>) - Static method in class org.apache.mahout.cf.taste.impl.recommender.TopItems

getTopLevelClusterPath(Path) - Static method in class org.apache.mahout.clustering.topdown.PathDirectory

All output of top level clustering is stored in output directory/topLevelCluster.

getTopUsers(int, LongPrimitiveIterator, IDRescorer, TopItems.Estimator<Long>) - Static method in class org.apache.mahout.cf.taste.impl.recommender.TopItems

getTopUserUserSimilarities(int, Iterator<GenericUserSimilarity.UserUserSimilarity>) - Static method in class org.apache.mahout.cf.taste.impl.recommender.TopItems

getTotal(String) - Method in class org.apache.mahout.classifier.ConfusionMatrix

getTotalCount() - Method in class org.apache.mahout.math.hadoop.stats.VarianceTotals

getTotalObservations() - Method in class org.apache.mahout.clustering.AbstractCluster

getTotalObservations() - Method in interface org.apache.mahout.clustering.Model

Return the number of observations that this model has seen over its lifetime

getTotalWeight() - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage

getTraceDictionary() - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory

getTraceDictionary() - Method in interface org.apache.mahout.classifier.sgd.RecordFactory

getTrainingMethod() - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork

Deprecated.

Get the training method.

getTransitionMatrix() - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel

Getter function to get the hidden state transition matrix

getTree() - Method in class org.apache.mahout.classifier.df.mapreduce.MapredOutput

getTreeBuilder(Configuration) - Static method in class org.apache.mahout.classifier.df.mapreduce.Builder

getTreeBuilder() - Method in class org.apache.mahout.classifier.df.mapreduce.MapredMapper

getType() - Method in class org.apache.mahout.classifier.df.node.CategoricalNode

getType() - Method in class org.apache.mahout.classifier.df.node.Leaf

getType() - Method in class org.apache.mahout.classifier.df.node.Node

getType() - Method in class org.apache.mahout.classifier.df.node.NumericalNode

getType() - Method in class org.apache.mahout.clustering.spectral.VertexWritable

getType() - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram

getType() - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKey

getuHalfSigmaPath() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver

getUPath() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver

returns U path (if computation were requested and successful).

getUserFeatures(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization

getUserID() - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorOrPrefWritable

getUserID(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray

getUserID() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanPreference

getUserID(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray

getUserID(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray

getUserID() - Method in class org.apache.mahout.cf.taste.impl.model.GenericPreference

getUserID(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray

getUserID() - Method in interface org.apache.mahout.cf.taste.model.Preference

getUserID(int) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray

getUserID1() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity

getUserID2() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity

getUserIDMappingKeys() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization

getUserIDMappings() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization

getUserIds() - Method in class org.apache.mahout.cf.taste.hadoop.item.IDReader

getUserIDs() - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorAndPrefsWritable

getUserIDs() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel

getUserIDs() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel

getUserIDs() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel

getUserIDs() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousConcurrentUserDataModel

getUserIDs() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel

getUserIDs() - Method in interface org.apache.mahout.cf.taste.model.DataModel

getUserInstance() - Static method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer

getUserNeighborhood(long) - Method in class org.apache.mahout.cf.taste.impl.neighborhood.CachingUserNeighborhood

getUserNeighborhood(long) - Method in class org.apache.mahout.cf.taste.impl.neighborhood.NearestNUserNeighborhood

getUserNeighborhood(long) - Method in class org.apache.mahout.cf.taste.impl.neighborhood.ThresholdUserNeighborhood

getUserNeighborhood(long) - Method in interface org.apache.mahout.cf.taste.neighborhood.UserNeighborhood

getUserUserPairInstance() - Static method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer

getuSigmaPath() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver

getVal() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable

getValue() - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorOrPrefWritable

getValue() - Method in class org.apache.mahout.cf.taste.hadoop.MutableRecommendedItem

getValue(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray

getValue() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanPreference

getValue(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray

getValue(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray

getValue() - Method in class org.apache.mahout.cf.taste.impl.model.GenericPreference

getValue(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray

getValue() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericRecommendedItem

getValue() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity

getValue() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity

getValue() - Method in interface org.apache.mahout.cf.taste.model.Preference

getValue(int) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray

getValue() - Method in interface org.apache.mahout.cf.taste.recommender.RecommendedItem

A value expressing the strength of the preference for the recommended item.

getValue() - Method in class org.apache.mahout.clustering.iterator.ClusteringPolicyWritable

getValue() - Method in class org.apache.mahout.clustering.iterator.ClusterWritable

getValue() - Method in class org.apache.mahout.clustering.spectral.IntDoublePairWritable

getValue() - Method in class org.apache.mahout.clustering.spectral.VertexWritable

getValue() - Method in class org.apache.mahout.ep.State

getValueClass() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileIterator

getValueClass() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileValueIterator

getValues() - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorAndPrefsWritable

getVariance() - Method in interface org.apache.mahout.clustering.GaussianAccumulator

getVariance() - Method in class org.apache.mahout.clustering.OnlineGaussianAccumulator

getVariance() - Method in class org.apache.mahout.clustering.RunningSumsGaussianAccumulator

getVector() - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorAndPrefsWritable

getVector() - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorOrPrefWritable

getVector() - Method in class org.apache.mahout.clustering.classify.WeightedVectorWritable

getVector() - Method in class org.apache.mahout.math.MultiLabelVectorWritable

getvHalfSigmaPath() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver

getVPath() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver

return V path ( if computation was requested and successful ) .

getvSigmaPath() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver

getWeight() - Method in class org.apache.mahout.classifier.sgd.ModelDissector.Weight

getWeight(int) - Method in class org.apache.mahout.classifier.sgd.ModelDissector.Weight

getWeight() - Method in class org.apache.mahout.clustering.classify.WeightedVectorWritable

getWeight(byte[], double) - Method in class org.apache.mahout.vectorizer.encoders.AdaptiveWordValueEncoder

getWeight(byte[], double) - Method in class org.apache.mahout.vectorizer.encoders.ConstantValueEncoder

getWeight(byte[], double) - Method in class org.apache.mahout.vectorizer.encoders.ContinuousValueEncoder

getWeight(byte[], double) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder

getWeight(byte[], byte[], double) - Method in class org.apache.mahout.vectorizer.encoders.InteractionValueEncoder

getWeight(byte[], double) - Method in class org.apache.mahout.vectorizer.encoders.WordValueEncoder

getWeightedF1score() - Method in class org.apache.mahout.classifier.ConfusionMatrix

getWeightedPrecision() - Method in class org.apache.mahout.classifier.ConfusionMatrix

getWeightedRecall() - Method in class org.apache.mahout.classifier.ConfusionMatrix

getWeightMatrices() - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork

Deprecated.

Get all the weight matrices.

getWeights() - Method in class org.apache.mahout.common.distance.WeightedDistanceMeasure

getWeightsByLayer(int) - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork

Deprecated.

Get the weights between layer layerIndex and layerIndex + 1

givens(double, double, double[]) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver

GivensThinSolver - Class in org.apache.mahout.math.hadoop.stochasticsvd.qr

Givens Thin solver.

GivensThinSolver(int, int) - Constructor for class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver

GlobalOnlineAuc - Class in org.apache.mahout.math.stats

Computes a running estimate of AUC (see http://en.wikipedia.org/wiki/Receiver_operating_characteristic).

GlobalOnlineAuc() - Constructor for class org.apache.mahout.math.stats.GlobalOnlineAuc

Gradient - Interface in org.apache.mahout.classifier.sgd

Provides the ability to inject a gradient into the SGD logistic regresion.

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

Online gradient machine learner that tries to minimize the label ranking hinge loss.

GradientMachine(int, int, int) - Constructor for class org.apache.mahout.classifier.sgd.GradientMachine

Gram - Class in org.apache.mahout.vectorizer.collocations.llr

Writable for holding data generated from the collocation discovery jobs.

Gram() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.Gram

Gram(Gram) - Constructor for class org.apache.mahout.vectorizer.collocations.llr.Gram

Copy constructor

Gram(String, Gram.Type) - Constructor for class org.apache.mahout.vectorizer.collocations.llr.Gram

Create an gram with a frequency of 1

Gram(String, int, Gram.Type) - Constructor for class org.apache.mahout.vectorizer.collocations.llr.Gram

Create a gram with the specified frequency.

Gram.Type - Enum in org.apache.mahout.vectorizer.collocations.llr

GramKey - Class in org.apache.mahout.vectorizer.collocations.llr

A GramKey, based on the identity fields of Gram (type, string) plus a byte[] used for secondary ordering

GramKey() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.GramKey

GramKey(Gram, byte[]) - Constructor for class org.apache.mahout.vectorizer.collocations.llr.GramKey

create a GramKey based on the specified Gram and order

GramKeyPartitioner - Class in org.apache.mahout.vectorizer.collocations.llr

Partition GramKeys based on their Gram, ignoring the secondary sort key so that all GramKeys with the same gram are sent to the same partition.

GramKeyPartitioner() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.GramKeyPartitioner

GramSchmidt - Class in org.apache.mahout.math.hadoop.stochasticsvd.qr

Gram Schmidt quick helper.

greaterOrEquals(int, double) - Static method in class org.apache.mahout.classifier.df.data.conditions.Condition

Condition that checks if the given attribute has a value "greater or equal" than the given value

GreaterOrEquals - Class in org.apache.mahout.classifier.df.data.conditions

True if a given attribute has a value "greater or equal" than a given value

GreaterOrEquals(int, double) - Constructor for class org.apache.mahout.classifier.df.data.conditions.GreaterOrEquals

GroupedOnlineAuc - Class in org.apache.mahout.math.stats

Implements a variant on AUC where the result returned is an average of several AUC measurements made on sub-groups of the overall data.

GroupedOnlineAuc() - Constructor for class org.apache.mahout.math.stats.GroupedOnlineAuc

H

HadoopUtil - Class in org.apache.mahout.common

hammingDistance(long) - Method in class org.apache.mahout.math.neighborhood.HashedVector

hash(String) - Method in class org.apache.mahout.cf.taste.impl.model.AbstractIDMigrator

hash(WeightedVector, Matrix) - Static method in class org.apache.mahout.math.neighborhood.HashedVector

hash(WeightedVector, Matrix, long) - Static method in class org.apache.mahout.math.neighborhood.HashedVector

hash(String, int, int) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder

Hash a string and an integer into the range [0..numFeatures-1].

hash(byte[], int, int) - Static method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder

Hash a byte array and an integer into the range [0..numFeatures-1].

hash(String, String, int, int) - Static method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder

Hash two strings and an integer into the range [0..numFeatures-1].

hash(byte[], byte[], int, int) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder

Hash two byte arrays and an integer into the range [0..numFeatures-1].

hash(String, String, String, String, int, int) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder

Hash four strings and an integer into the range [0..numFeatures-1].

hashCode() - Method in class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable

hashCode() - Method in class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable

hashCode() - Method in class org.apache.mahout.cf.taste.hadoop.item.PrefAndSimilarityColumnWritable

hashCode() - Method in class org.apache.mahout.cf.taste.hadoop.MutableRecommendedItem

hashCode() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap

hashCode() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet

hashCode() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap

hashCode() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray

hashCode() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray

hashCode() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray

hashCode() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray

hashCode() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericRecommendedItem

hashCode() - Method in class org.apache.mahout.cf.taste.impl.recommender.SimilarUser

hashCode() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization

hashCode() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity

hashCode() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity

hashCode() - Method in class org.apache.mahout.classifier.df.data.Data

hashCode() - Method in class org.apache.mahout.classifier.df.data.Dataset

hashCode() - Method in class org.apache.mahout.classifier.df.data.Instance

hashCode() - Method in class org.apache.mahout.classifier.df.DecisionForest

hashCode() - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit

hashCode() - Method in class org.apache.mahout.classifier.df.mapreduce.MapredOutput

hashCode() - Method in class org.apache.mahout.classifier.df.node.CategoricalNode

hashCode() - Method in class org.apache.mahout.classifier.df.node.Leaf

hashCode() - Method in class org.apache.mahout.classifier.df.node.NumericalNode

hashCode() - Method in class org.apache.mahout.classifier.sgd.ModelDissector.Weight

hashCode() - Method in class org.apache.mahout.clustering.streaming.mapreduce.CentroidWritable

hashCode() - Method in class org.apache.mahout.common.IntegerTuple

hashCode() - Method in class org.apache.mahout.common.IntPairWritable.Frequency

hashCode() - Method in class org.apache.mahout.common.IntPairWritable

hashCode() - Method in class org.apache.mahout.common.LongPair

hashCode() - Method in class org.apache.mahout.common.Pair

hashCode() - Method in class org.apache.mahout.common.StringTuple

hashCode() - Method in class org.apache.mahout.ep.State

hashCode() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable

hashCode() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable

hashCode() - Method in class org.apache.mahout.math.neighborhood.HashedVector

HashedVector - Class in org.apache.mahout.math.neighborhood

Decorates a weighted vector with a locality sensitive hash.

HashedVector(Vector, long, int) - Constructor for class org.apache.mahout.math.neighborhood.HashedVector

HashedVector(Vector, Matrix, int, long) - Constructor for class org.apache.mahout.math.neighborhood.HashedVector

HashedVector(WeightedVector, Matrix, long) - Constructor for class org.apache.mahout.math.neighborhood.HashedVector

hashesForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder

Returns all of the hashes for this probe.

hashesForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder

hashForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.CachingContinuousValueEncoder

hashForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.CachingStaticWordValueEncoder

hashForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.CachingValueEncoder

hashForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder

Provides the unique hash for a particular probe.

hashForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.InteractionValueEncoder

hashForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.StaticWordValueEncoder

hashForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder

hashForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.WordValueEncoder

hasNext() - Method in class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator

hasNext() - Method in class org.apache.mahout.cf.taste.impl.common.SamplingLongPrimitiveIterator

hasNext() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRLastStep

hasOption(String) - Method in class org.apache.mahout.common.AbstractJob

hasPreferenceValues() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel

hasPreferenceValues() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel

hasPreferenceValues() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel

hasPreferenceValues() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel

hasPreferenceValues() - Method in interface org.apache.mahout.cf.taste.model.DataModel

hasPrefWithItemID(long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray

hasPrefWithItemID(long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray

hasPrefWithItemID(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray

hasPrefWithItemID(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray

hasPrefWithItemID(long) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray

hasPrefWithUserID(long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray

hasPrefWithUserID(long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray

hasPrefWithUserID(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray

hasPrefWithUserID(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray

hasPrefWithUserID(long) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray

HdfsBackedLanczosState - Class in org.apache.mahout.math.hadoop.decomposer

HdfsBackedLanczosState(VectorIterable, int, Vector, Path) - Constructor for class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState

help(Parametered) - Static method in class org.apache.mahout.common.parameters.Parametered.ParameteredGeneralizations

helpOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator

Returns a default command line option for help.

hiddenToOutput(Vector) - Method in class org.apache.mahout.classifier.sgd.GradientMachine

Feeds forward from hidden to output

HighDFWordsPruner - Class in org.apache.mahout.vectorizer

HISTORY - Static variable in class org.apache.mahout.math.stats.GlobalOnlineAuc

HmmAlgorithms - Class in org.apache.mahout.classifier.sequencelearning.hmm

Class containing implementations of the three major HMM algorithms: forward, backward and Viterbi

HmmEvaluator - Class in org.apache.mahout.classifier.sequencelearning.hmm

The HMMEvaluator class offers several methods to evaluate an HMM Model.

HmmModel - Class in org.apache.mahout.classifier.sequencelearning.hmm

Main class defining a Hidden Markov Model

HmmModel(int, int, long) - Constructor for class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel

Construct a valid random Hidden-Markov parameter set with the given number of hidden and output states using a given seed.

HmmModel(int, int) - Constructor for class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel

Construct a valid random Hidden-Markov parameter set with the given number of hidden and output states.

HmmModel(Matrix, Matrix, Vector) - Constructor for class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel

Generates a Hidden Markov model using the specified parameters

HmmTrainer - Class in org.apache.mahout.classifier.sequencelearning.hmm

Class containing several algorithms used to train a Hidden Markov Model.

HmmUtils - Class in org.apache.mahout.classifier.sequencelearning.hmm

A collection of utilities for handling HMMModel objects.

I

identicalLabel() - Method in class org.apache.mahout.classifier.df.data.Data

checks if all the vectors have identical label values

identity() - Static method in class org.apache.mahout.ep.Mapping

Maps results to themselves.

IDMigrator - Interface in org.apache.mahout.cf.taste.model

Mahout 0.2 changed the framework to operate only in terms of numeric (long) ID values for users and items.

IDReader - Class in org.apache.mahout.cf.taste.hadoop.item

Reads user ids and item ids from files specified in usersFile, itemsFile or userItemFile options in item-based recommender.

IDReader(Configuration) - Constructor for class org.apache.mahout.cf.taste.hadoop.item.IDReader

Creates a new IDReader

IDRescorer - Interface in org.apache.mahout.cf.taste.recommender

A Rescorer which operates on long primitive IDs, rather than arbitrary Objects.

idToIndex(long) - Static method in class org.apache.mahout.cf.taste.hadoop.TasteHadoopUtils

Maps a long to an int with range of 0 to Integer.MAX_VALUE-1

IGNORE_WEIGHTS - Static variable in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver

Whether to correct the weights of the centroids after the clustering is done.

IgSplit - Class in org.apache.mahout.classifier.df.split

Computes the best split using the Information Gain measure

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

IKernelProfile - Interface in org.apache.mahout.clustering.kernel

includeBiasTerm(boolean) - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory

includeBiasTerm(boolean) - Method in interface org.apache.mahout.classifier.sgd.RecordFactory

incrementCount(String, String, int) - Method in class org.apache.mahout.classifier.ConfusionMatrix

incrementCount(String, String) - Method in class org.apache.mahout.classifier.ConfusionMatrix

incrementFrequency(int) - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram

incrementItemOrdinal() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable

incrementToken() - Method in class org.apache.mahout.common.lucene.IteratorTokenStream

index() - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.MutableElement

IndexInstancesMapper - Class in org.apache.mahout.classifier.naivebayes.training

IndexInstancesMapper() - Constructor for class org.apache.mahout.classifier.naivebayes.training.IndexInstancesMapper

IndexInstancesMapper.Counter - Enum in org.apache.mahout.classifier.naivebayes.training

infer(Vector, Vector) - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel

inferPreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.AveragingPreferenceInferrer

inferPreference(long, long) - Method in interface org.apache.mahout.cf.taste.similarity.PreferenceInferrer

Infers the given user's preference value for an item.

INITIAL_CLUSTERS_DIR - Static variable in interface org.apache.mahout.clustering.Cluster

initialize(Iterable<String>) - Method in class org.apache.mahout.cf.taste.impl.model.AbstractJDBCIDMigrator

initialize(Iterable<String>) - Method in class org.apache.mahout.cf.taste.impl.model.MemoryIDMigrator

initialize() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer

initialize(Iterable<String>) - Method in interface org.apache.mahout.cf.taste.model.UpdatableIDMigrator

Make the mapping aware of the given string IDs.

initialize(InputSplit, TaskAttemptContext) - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader

initWeights(Random) - Method in class org.apache.mahout.classifier.sgd.GradientMachine

Initialize weights.

InMemBuilder - Class in org.apache.mahout.classifier.df.mapreduce.inmem

MapReduce implementation where each mapper loads a full copy of the data in-memory.

InMemBuilder(TreeBuilder, Path, Path, Long, Configuration) - Constructor for class org.apache.mahout.classifier.df.mapreduce.inmem.InMemBuilder

InMemBuilder(TreeBuilder, Path, Path) - Constructor for class org.apache.mahout.classifier.df.mapreduce.inmem.InMemBuilder

InMemInputFormat - Class in org.apache.mahout.classifier.df.mapreduce.inmem

Custom InputFormat that generates InputSplits given the desired number of trees.
each input split contains a subset of the trees.
The number of splits is equal to the number of requested splits

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

InMemInputFormat.InMemInputSplit - Class in org.apache.mahout.classifier.df.mapreduce.inmem

Custom InputSplit that indicates how many trees are built by each mapper

InMemInputFormat.InMemInputSplit() - Constructor for class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit

InMemInputFormat.InMemInputSplit(int, int, Long) - Constructor for class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit

InMemInputFormat.InMemRecordReader - Class in org.apache.mahout.classifier.df.mapreduce.inmem

InMemInputFormat.InMemRecordReader(InMemInputFormat.InMemInputSplit) - Constructor for class org.apache.mahout.classifier.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader

InMemMapper - Class in org.apache.mahout.classifier.df.mapreduce.inmem

In-memory mapper that grows the trees using a full copy of the data loaded in-memory.

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

InMemoryCollapsedVariationalBayes0 - Class in org.apache.mahout.clustering.lda.cvb

Runs the same algorithm as CVB0Driver, but sequentially, in memory.

InMemoryCollapsedVariationalBayes0(Matrix, String[], int, double, double, int, int, double) - Constructor for class org.apache.mahout.clustering.lda.cvb.InMemoryCollapsedVariationalBayes0

INPUT_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator

INPUT_VECTOR - Static variable in class org.apache.mahout.math.hadoop.TimesSquaredJob

inputFile - Variable in class org.apache.mahout.common.AbstractJob

inputOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator

Returns a default command line option for input directory specification.

inputPath - Variable in class org.apache.mahout.common.AbstractJob

input path, populated by AbstractJob.parseArguments(String[])

inputToHidden(Vector) - Method in class org.apache.mahout.classifier.sgd.GradientMachine

Feeds forward from input to hidden unit..

Instance - Class in org.apache.mahout.classifier.df.data

Represents one data instance.

Instance(Vector) - Constructor for class org.apache.mahout.classifier.df.data.Instance

instantiateAs(String, Class<T>) - Static method in class org.apache.mahout.common.ClassUtils

instantiateAs(String, Class<T>, Class<?>[], Object[]) - Static method in class org.apache.mahout.common.ClassUtils

instantiateAs(Class<? extends T>, Class<T>, Class<?>[], Object[]) - Static method in class org.apache.mahout.common.ClassUtils

instantiateAs(Class<? extends T>, Class<T>) - Static method in class org.apache.mahout.common.ClassUtils

IntDoublePairWritable - Class in org.apache.mahout.clustering.spectral

This class is a Writable implementation of the mahout.common.Pair generic class.

IntDoublePairWritable() - Constructor for class org.apache.mahout.clustering.spectral.IntDoublePairWritable

IntDoublePairWritable(int, double) - Constructor for class org.apache.mahout.clustering.spectral.IntDoublePairWritable

integerAt(int) - Method in class org.apache.mahout.common.IntegerTuple

Fetches the string at the given location

IntegerTuple - Class in org.apache.mahout.common

An Ordered List of Integers which can be used in a Hadoop Map/Reduce Job

IntegerTuple() - Constructor for class org.apache.mahout.common.IntegerTuple

IntegerTuple(Integer) - Constructor for class org.apache.mahout.common.IntegerTuple

IntegerTuple(Iterable<Integer>) - Constructor for class org.apache.mahout.common.IntegerTuple

IntegerTuple(Integer[]) - Constructor for class org.apache.mahout.common.IntegerTuple

InteractionValueEncoder - Class in org.apache.mahout.vectorizer.encoders

InteractionValueEncoder(String, FeatureVectorEncoder, FeatureVectorEncoder) - Constructor for class org.apache.mahout.vectorizer.encoders.InteractionValueEncoder

intern(String) - Method in class org.apache.mahout.vectorizer.encoders.Dictionary

intersectionSize(FastIDSet) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet

Convenience method to quickly compute just the size of the intersection with another FastIDSet.

IntPairWritable - Class in org.apache.mahout.common

A WritableComparable which encapsulates an ordered pair of signed integers.

IntPairWritable() - Constructor for class org.apache.mahout.common.IntPairWritable

IntPairWritable(IntPairWritable) - Constructor for class org.apache.mahout.common.IntPairWritable

IntPairWritable(int, int) - Constructor for class org.apache.mahout.common.IntPairWritable

IntPairWritable.Comparator - Class in org.apache.mahout.common

IntPairWritable.Comparator() - Constructor for class org.apache.mahout.common.IntPairWritable.Comparator

IntPairWritable.FirstGroupingComparator - Class in org.apache.mahout.common

Compare only the first part of the pair, so that reduce is called once for each value of the first part.

IntPairWritable.FirstGroupingComparator() - Constructor for class org.apache.mahout.common.IntPairWritable.FirstGroupingComparator

IntPairWritable.Frequency - Class in org.apache.mahout.common

A wrapper class that associates pairs with frequency (Occurrences)

IntPairWritable.Frequency(IntPairWritable, double) - Constructor for class org.apache.mahout.common.IntPairWritable.Frequency

INVALID_DISTANCE_CUTOFF - Static variable in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver

INVALID_INDEX - Static variable in class org.apache.mahout.math.neighborhood.HashedVector

inverse() - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverage

inverse() - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverageAndStdDev

inverse() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverage

inverse() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev

inverse() - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverage

inverse() - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev

inverse() - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverage

inverse() - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverageAndStdDev

inverse() - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage

inverse() - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverageAndStdDev

invertDictionary(OpenObjectIntHashMap<String>) - Static method in class org.apache.mahout.math.MatrixUtils

InvertedRunningAverage - Class in org.apache.mahout.cf.taste.impl.common

InvertedRunningAverage(RunningAverage) - Constructor for class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverage

InvertedRunningAverageAndStdDev - Class in org.apache.mahout.cf.taste.impl.common

InvertedRunningAverageAndStdDev(RunningAverageAndStdDev) - Constructor for class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev

IRStatistics - Interface in org.apache.mahout.cf.taste.eval

Implementations encapsulate information retrieval-related statistics about a Recommender's recommendations.

IRStatisticsImpl - Class in org.apache.mahout.cf.taste.impl.eval

IS_SPARSE_OUTPUT - Static variable in class org.apache.mahout.math.hadoop.TimesSquaredJob

isBroadcast() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver

isCategorical() - Method in enum org.apache.mahout.classifier.df.data.Dataset.Attribute

isComplemtary() - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel

isConverged() - Method in class org.apache.mahout.clustering.AbstractCluster

isConverged() - Method in interface org.apache.mahout.clustering.Cluster

isConverged() - Method in class org.apache.mahout.clustering.kmeans.Kluster

isEmpty() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap

isEmpty() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet

isEmpty() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap

isEmpty() - Method in class org.apache.mahout.classifier.df.data.Data

isFiltered(T) - Method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer

isFiltered(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer

isFiltered(long) - Method in interface org.apache.mahout.cf.taste.recommender.IDRescorer

Returns true to exclude the given thing.

isFiltered(T) - Method in interface org.apache.mahout.cf.taste.recommender.Rescorer

Returns true to exclude the given thing.

isFull() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver

isIdentical() - Method in class org.apache.mahout.classifier.df.data.Data

checks if all the vectors have identical attribute values

isIgnored() - Method in enum org.apache.mahout.classifier.df.data.Dataset.Attribute

isItemsFileSpecified() - Method in class org.apache.mahout.cf.taste.hadoop.item.IDReader

isLabel() - Method in enum org.apache.mahout.classifier.df.data.Dataset.Attribute

isLogNormalize() - Method in class org.apache.mahout.vectorizer.VectorizerConfig

isNamedVectors() - Method in class org.apache.mahout.vectorizer.VectorizerConfig

isNumerical() - Method in enum org.apache.mahout.classifier.df.data.Dataset.Attribute

isNumerical(int) - Method in class org.apache.mahout.classifier.df.data.Dataset

Is this a numerical attribute ?

isOrthonormal(double[][], boolean, double) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver

isOrthonormalBlocked(Iterable<double[][]>, boolean, double) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.GivensThinSolver

isOutput(Configuration) - Static method in class org.apache.mahout.classifier.df.mapreduce.Builder

Used only for DEBUG purposes.

isOutput() - Method in class org.apache.mahout.classifier.df.mapreduce.MapredMapper

isOverwrite() - Method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDSolver

isProbabilityScore() - Method in class org.apache.mahout.classifier.evaluation.Auc

isSealed() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression

isSequentialAccess() - Method in class org.apache.mahout.vectorizer.VectorizerConfig

isTraceEnabled() - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder

isTrueFor(Instance) - Method in class org.apache.mahout.classifier.df.data.conditions.Condition

Returns true is the checked instance matches the condition

isTrueFor(Instance) - Method in class org.apache.mahout.classifier.df.data.conditions.Equals

isTrueFor(Instance) - Method in class org.apache.mahout.classifier.df.data.conditions.GreaterOrEquals

isTrueFor(Instance) - Method in class org.apache.mahout.classifier.df.data.conditions.Lesser

isUserItemFileSpecified() - Method in class org.apache.mahout.cf.taste.hadoop.item.IDReader

isUserItemFilterSpecified() - Method in class org.apache.mahout.cf.taste.hadoop.item.IDReader

isUsersFileSpecified() - Method in class org.apache.mahout.cf.taste.hadoop.item.IDReader

ITEM_BIAS_INDEX - Static variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer

place in item vector where the bias is stored

ITEM_ID_INDEX_PATH_STR - Static variable in class org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob

ITEM_ID_POS - Static variable in class org.apache.mahout.cf.taste.hadoop.TasteHadoopUtils

ItemAverageRecommender - Class in org.apache.mahout.cf.taste.impl.recommender

A simple recommender that always estimates preference for an item to be the average of all known preference values for that item.

ItemAverageRecommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.ItemAverageRecommender

ItemBasedRecommender - Interface in org.apache.mahout.cf.taste.recommender

Interface implemented by "item-based" recommenders.

itemFeaturesMapping(LongPrimitiveIterator, int, double[][]) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ALSWRFactorizer

ItemFilterAsVectorAndPrefsReducer - Class in org.apache.mahout.cf.taste.hadoop.item

we use a neat little trick to explicitly filter items for some users: we inject a NaN summand into the preference estimation for those items, which makes AggregateAndRecommendReducer automatically exclude them

ItemFilterAsVectorAndPrefsReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.ItemFilterAsVectorAndPrefsReducer

ItemFilterMapper - Class in org.apache.mahout.cf.taste.hadoop.item

map out all user/item pairs to filter, keyed by the itemID

ItemFilterMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.ItemFilterMapper

ITEMID_INDEX - Static variable in class org.apache.mahout.cf.taste.hadoop.preparation.PreparePreferenceMatrixJob

ItemIDIndexMapper - Class in org.apache.mahout.cf.taste.hadoop.item

ItemIDIndexMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.ItemIDIndexMapper

ItemIDIndexReducer - Class in org.apache.mahout.cf.taste.hadoop.item

ItemIDIndexReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.ItemIDIndexReducer

itemIndex(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.AbstractFactorizer

itemIndex(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization

itemSimilarities(long, long[]) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingItemSimilarity

itemSimilarities(long, long[]) - Method in class org.apache.mahout.cf.taste.impl.similarity.CityBlockSimilarity

itemSimilarities(long, long[]) - Method in class org.apache.mahout.cf.taste.impl.similarity.file.FileItemSimilarity

itemSimilarities(long, long[]) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity

itemSimilarities(long, long[]) - Method in class org.apache.mahout.cf.taste.impl.similarity.LogLikelihoodSimilarity

itemSimilarities(long, long[]) - Method in class org.apache.mahout.cf.taste.impl.similarity.TanimotoCoefficientSimilarity

itemSimilarities(long, long[]) - Method in interface org.apache.mahout.cf.taste.similarity.ItemSimilarity

A bulk-get version of ItemSimilarity.itemSimilarity(long, long).

itemSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingItemSimilarity

itemSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.CityBlockSimilarity

itemSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.file.FileItemSimilarity

itemSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity

Returns the similarity between two items.

itemSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.LogLikelihoodSimilarity

itemSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.TanimotoCoefficientSimilarity

ItemSimilarity - Interface in org.apache.mahout.cf.taste.similarity

Implementations of this interface define a notion of similarity between two items.

itemSimilarity(long, long) - Method in interface org.apache.mahout.cf.taste.similarity.ItemSimilarity

Returns the degree of similarity, of two items, based on the preferences that users have expressed for the items.

ItemSimilarityJob - Class in org.apache.mahout.cf.taste.hadoop.similarity.item

Distributed precomputation of the item-item-similarities for Itembased Collaborative Filtering

ItemSimilarityJob() - Constructor for class org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob

ItemSimilarityJob.MostSimilarItemPairsMapper - Class in org.apache.mahout.cf.taste.hadoop.similarity.item

ItemSimilarityJob.MostSimilarItemPairsMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob.MostSimilarItemPairsMapper

ItemSimilarityJob.MostSimilarItemPairsReducer - Class in org.apache.mahout.cf.taste.hadoop.similarity.item

ItemSimilarityJob.MostSimilarItemPairsReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob.MostSimilarItemPairsReducer

ItemUserAverageRecommender - Class in org.apache.mahout.cf.taste.impl.recommender

Like ItemAverageRecommender, except that estimated preferences are adjusted for the users' average preference value.

ItemUserAverageRecommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.ItemUserAverageRecommender

itemVectors - Variable in class org.apache.mahout.cf.taste.impl.recommender.svd.ParallelSGDFactorizer

item features

itemVectors - Variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer

Item features

iterate(Iterable<Vector>, ClusterClassifier, int) - Static method in class org.apache.mahout.clustering.iterator.ClusterIterator

Iterate over data using a prior-trained ClusterClassifier, for a number of iterations

iterateAll() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix

iterateMR(Configuration, Path, Path, Path, int) - Static method in class org.apache.mahout.clustering.iterator.ClusterIterator

Iterate over data using a prior-trained ClusterClassifier, for a number of iterations using a mapreduce implementation

iterateSeq(Configuration, Path, Path, Path, int) - Static method in class org.apache.mahout.clustering.iterator.ClusterIterator

Iterate over data using a prior-trained ClusterClassifier, for a number of iterations using a sequential implementation

iterateUntilConvergence(double, int, int) - Method in class org.apache.mahout.clustering.lda.cvb.InMemoryCollapsedVariationalBayes0

iterateUntilConvergence(double, int, int, double) - Method in class org.apache.mahout.clustering.lda.cvb.InMemoryCollapsedVariationalBayes0

ITERATION_BLOCK_SIZE - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver

iterator() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet

iterator() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray

iterator() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray

iterator() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray

iterator() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray

iterator() - Method in class org.apache.mahout.clustering.lda.cvb.TopicModel

iterator() - Method in class org.apache.mahout.clustering.streaming.cluster.BallKMeans

iterator() - Method in class org.apache.mahout.clustering.streaming.cluster.StreamingKMeans

iterator() - Method in class org.apache.mahout.common.iterator.FileLineIterable

iterator() - Method in class org.apache.mahout.common.iterator.SamplingIterable

iterator() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirIterable

iterator() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileDirValueIterable

iterator() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileIterable

iterator() - Method in class org.apache.mahout.common.iterator.sequencefile.SequenceFileValueIterable

iterator() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix

iterator() - Method in class org.apache.mahout.math.neighborhood.BruteSearch

iterator() - Method in class org.apache.mahout.math.neighborhood.FastProjectionSearch

This iterates on the snapshot of the contents first instantiated regardless of any future modifications.

iterator() - Method in class org.apache.mahout.math.neighborhood.LocalitySensitiveHashSearch

iterator() - Method in class org.apache.mahout.math.neighborhood.ProjectionSearch

IteratorTokenStream - Class in org.apache.mahout.common.lucene

Used to emit tokens from an input string array in the style of TokenStream

IteratorTokenStream(Iterator<String>) - Constructor for class org.apache.mahout.common.lucene.IteratorTokenStream

J

JDBCDataModel - Interface in org.apache.mahout.cf.taste.model

job() - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver

Deprecated.

job() - Method in class org.apache.mahout.math.hadoop.solver.DistributedConjugateGradientSolver

K

K - Static variable in class org.apache.mahout.clustering.kmeans.RandomSeedGenerator

K - Static variable in class org.apache.mahout.clustering.spectral.kmeans.EigenSeedGenerator

KEEP_TEMP_FILES - Static variable in class org.apache.mahout.math.hadoop.DistributedRowMatrix

KERNEL_PROFILE_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator

kernelProfileOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator

keyFor(String) - Static method in class org.apache.mahout.common.AbstractJob

Build the option key (--name) from the option name

Keys - Class in org.apache.mahout.clustering.spectral

keySet() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap

keySetIterator() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap

Kluster - Class in org.apache.mahout.clustering.kmeans

Kluster() - Constructor for class org.apache.mahout.clustering.kmeans.Kluster

For (de)serialization as a Writable

Kluster(Vector, int, DistanceMeasure) - Constructor for class org.apache.mahout.clustering.kmeans.Kluster

Construct a new cluster with the given point as its center

KMeansClusteringPolicy - Class in org.apache.mahout.clustering.iterator

This is a simple maximum likelihood clustering policy, suitable for k-means clustering

KMeansClusteringPolicy() - Constructor for class org.apache.mahout.clustering.iterator.KMeansClusteringPolicy

KMeansClusteringPolicy(double) - Constructor for class org.apache.mahout.clustering.iterator.KMeansClusteringPolicy

KMeansDriver - Class in org.apache.mahout.clustering.kmeans

KMeansDriver() - Constructor for class org.apache.mahout.clustering.kmeans.KMeansDriver

L

L1 - Class in org.apache.mahout.classifier.sgd

Implements the Laplacian or bi-exponential prior.

L1() - Constructor for class org.apache.mahout.classifier.sgd.L1

L2 - Class in org.apache.mahout.classifier.sgd

Implements the Gaussian prior.

L2(double) - Constructor for class org.apache.mahout.classifier.sgd.L2

L2() - Constructor for class org.apache.mahout.classifier.sgd.L2

LABEL_THETA_NORMALIZER - Static variable in class org.apache.mahout.classifier.naivebayes.training.TrainNaiveBayesJob

labelCode(String) - Method in class org.apache.mahout.classifier.df.data.Dataset

Returns the code used to represent the label value in the data

labels() - Method in class org.apache.mahout.classifier.df.data.Dataset

labelWeight(int) - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel

labelWeight(int) - Method in class org.apache.mahout.classifier.naivebayes.training.ComplementaryThetaTrainer

lambda(double) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression

Chainable configuration option.

lambda(double) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner

lambda(double) - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression

lastTaskId - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.QRReducer

lastTaskId - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.QRReducer

layerSizeList - Variable in class org.apache.mahout.classifier.mlp.NeuralNetwork

Deprecated.

Leaf - Class in org.apache.mahout.classifier.df.node

Represents a Leaf node

Leaf(double) - Constructor for class org.apache.mahout.classifier.df.node.Leaf

learningRate - Variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer

Learning rate (step size)

learningRate - Variable in class org.apache.mahout.classifier.mlp.NeuralNetwork

Deprecated.

learningRate(double) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner

learningRate(double) - Method in class org.apache.mahout.classifier.sgd.GradientMachine

Chainable configuration option.

learningRate(double) - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression

Chainable configuration option.

learningRate(double) - Method in class org.apache.mahout.classifier.sgd.PassiveAggressive

Chainable configuration option.

learningRateDecay - Variable in class org.apache.mahout.cf.taste.impl.recommender.svd.RatingSGDFactorizer

Multiplicative decay factor for learning_rate

length() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray

length() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray

length() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray

length() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray

length() - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray

length() - Method in class org.apache.mahout.common.IntegerTuple

Returns the length of the tuple

length() - Method in class org.apache.mahout.common.StringTuple

Returns the length of the tuple

lesser(int, double) - Static method in class org.apache.mahout.classifier.df.data.conditions.Condition

Condition that checks if the given attribute has a value "lesser" than the given value

Lesser - Class in org.apache.mahout.classifier.df.data.conditions

True if a given attribute has a value "lesser" than a given value

Lesser(int, double) - Constructor for class org.apache.mahout.classifier.df.data.conditions.Lesser

lessThan(SimilarItem, SimilarItem) - Method in class org.apache.mahout.cf.taste.hadoop.similarity.item.TopSimilarItemsQueue

lessThan(MutableRecommendedItem, MutableRecommendedItem) - Method in class org.apache.mahout.cf.taste.hadoop.TopItemsQueue

lessThan(MutableElement, MutableElement) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.TopElementsQueue

link(Vector) - Static method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression

Computes the inverse link function, by default the logistic link function.

link(double) - Static method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression

Computes the binomial logistic inverse link function.

list() - Static method in enum org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.VectorSimilarityMeasures

listOutputFiles(FileSystem, Path) - Static method in class org.apache.mahout.classifier.df.DFUtils

Return a list of all files in the output directory

listStatus(FileSystem, Path) - Static method in class org.apache.mahout.common.HadoopUtil

listStatus(FileSystem, Path, PathFilter) - Static method in class org.apache.mahout.common.HadoopUtil

LLRReducer - Class in org.apache.mahout.vectorizer.collocations.llr

Reducer for pass 2 of the collocation discovery job.

LLRReducer() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.LLRReducer

LLRReducer.ConcreteLLCallback - Class in org.apache.mahout.vectorizer.collocations.llr

concrete implementation delegates to LogLikelihood class

LLRReducer.ConcreteLLCallback() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.LLRReducer.ConcreteLLCallback

LLRReducer.LLCallback - Interface in org.apache.mahout.vectorizer.collocations.llr

provide interface so the input to the llr calculation can be captured for validation in unit testing

LLRReducer.Skipped - Enum in org.apache.mahout.vectorizer.collocations.llr

Counter to track why a particlar entry was skipped

load() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.FilePersistenceStrategy

load() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.NoPersistenceStrategy

load() - Method in interface org.apache.mahout.cf.taste.impl.recommender.svd.PersistenceStrategy

Load a factorization from a persistent store.

load(Configuration, Path) - Static method in class org.apache.mahout.classifier.df.data.Dataset

Loads the dataset from a file

load(Configuration, Path) - Static method in class org.apache.mahout.classifier.df.DecisionForest

Load the forest from a single file or a directory of files

load(Configuration) - Static method in class org.apache.mahout.clustering.spectral.VectorCache

Loads the vector from DistributedCache.

load(Configuration, Path) - Static method in class org.apache.mahout.clustering.spectral.VectorCache

Loads a Vector from the specified path.

loadAndSumUpperTriangularMatricesAsSymmetric(Path, Configuration) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDHelper

Load multiple upper triangular matrices and sum them up.

loadAndSumUpVectors(Path, Configuration) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDHelper

loadData(Dataset, FileSystem, Path) - Static method in class org.apache.mahout.classifier.df.data.DataLoader

Loads the data from a file

loadData(Dataset, FileSystem, Path[]) - Static method in class org.apache.mahout.classifier.df.data.DataLoader

Loads the data from multiple paths specified by pathes

loadData(Dataset, String[]) - Static method in class org.apache.mahout.classifier.df.data.DataLoader

Loads the data from a String array

loadDataset(Configuration) - Static method in class org.apache.mahout.classifier.df.mapreduce.Builder

Helper method.

LoadEvaluator - Class in org.apache.mahout.cf.taste.impl.eval

Simple helper class for running load on a Recommender.

loadModel(Configuration, Path...) - Static method in class org.apache.mahout.clustering.lda.cvb.TopicModel

LoadStatistics - Class in org.apache.mahout.cf.taste.impl.eval

loadUpperTriangularMatrix(Path, Configuration) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDHelper

Load only one upper triangular matrix and issue error if mroe than one is found.

LocalitySensitiveHashSearch - Class in org.apache.mahout.math.neighborhood

Implements a Searcher that uses locality sensitivity hash as a first pass approximation to estimate distance without floating point math.

LocalitySensitiveHashSearch(DistanceMeasure, int) - Constructor for class org.apache.mahout.math.neighborhood.LocalitySensitiveHashSearch

log - Static variable in interface org.apache.mahout.common.parameters.Parametered

LOG_NORMALIZE - Static variable in class org.apache.mahout.vectorizer.common.PartialVectorMerger

logLikelihood(int, Vector) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier

Returns a measure of how good the classification for a particular example actually is.

logLikelihood() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner

logLikelihoodRatio(long, long, long, long) - Method in class org.apache.mahout.vectorizer.collocations.llr.LLRReducer.ConcreteLLCallback

logLikelihoodRatio(long, long, long, long) - Method in interface org.apache.mahout.vectorizer.collocations.llr.LLRReducer.LLCallback

LogLikelihoodSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity

See http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.5962 and http://tdunning.blogspot.com/2008/03/surprise-and-coincidence.html.

LogLikelihoodSimilarity(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.LogLikelihoodSimilarity

LoglikelihoodSimilarity - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence.measures

LoglikelihoodSimilarity() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.LoglikelihoodSimilarity

logLimit(double, double) - Static method in class org.apache.mahout.ep.Mapping

Maps input to positive values in the open interval (min, max) with 0 going to the geometric mean.

logMemoryStatistics() - Static method in class org.apache.mahout.common.MemoryUtil

Logs current heap memory statistics.

logP(double) - Method in class org.apache.mahout.classifier.sgd.ElasticBandPrior

logP(double) - Method in class org.apache.mahout.classifier.sgd.L1

logP(double) - Method in class org.apache.mahout.classifier.sgd.L2

logP(double) - Method in interface org.apache.mahout.classifier.sgd.PriorFunction

Returns the log of the probability of a particular coefficient value according to the prior.

logP(double) - Method in class org.apache.mahout.classifier.sgd.TPrior

logP(double) - Method in class org.apache.mahout.classifier.sgd.UniformPrior

logsCRCFilter() - Static method in class org.apache.mahout.common.iterator.sequencefile.PathFilters

LongPair - Class in org.apache.mahout.common

A simple (ordered) pair of longs.

LongPair(long, long) - Constructor for class org.apache.mahout.common.LongPair

LongPrimitiveArrayIterator - Class in org.apache.mahout.cf.taste.impl.common

While long[] is an Iterable, it is not an Iterable<Long>.

LongPrimitiveArrayIterator(long[]) - Constructor for class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator

Creates an LongPrimitiveArrayIterator over an entire array.

LongPrimitiveIterator - Interface in org.apache.mahout.cf.taste.impl.common

Adds notion of iterating over long primitives in the style of an Iterator -- as opposed to iterating over Long.

lookupDataSource(String) - Static method in class org.apache.mahout.cf.taste.impl.common.jdbc.AbstractJDBCComponent

Looks up a DataSource by name from JNDI.

LuceneTextValueEncoder - Class in org.apache.mahout.vectorizer.encoders

Encodes text using a lucene style tokenizer.

LuceneTextValueEncoder(String) - Constructor for class org.apache.mahout.vectorizer.encoders.LuceneTextValueEncoder

M

M_OPTION - Static variable in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver

MahalanobisDistanceMeasure - Class in org.apache.mahout.common.distance

MahalanobisDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.MahalanobisDistanceMeasure

MahoutDriver - Class in org.apache.mahout.driver

General-purpose driver class for Mahout programs.

main(String[]) - Static method in class org.apache.mahout.cf.taste.hadoop.als.DatasetSplitter

main(String[]) - Static method in class org.apache.mahout.cf.taste.hadoop.als.FactorizationEvaluator

main(String[]) - Static method in class org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob

main(String[]) - Static method in class org.apache.mahout.cf.taste.hadoop.als.RecommenderJob

main(String[]) - Static method in class org.apache.mahout.cf.taste.hadoop.item.RecommenderJob

main(String[]) - Static method in class org.apache.mahout.cf.taste.hadoop.preparation.PreparePreferenceMatrixJob

main(String[]) - Static method in class org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob

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

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

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

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

Launch the uniform distribution tool.

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

Deprecated.

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

Deprecated.

main(String[]) - Static method in class org.apache.mahout.classifier.naivebayes.test.TestNaiveBayesDriver

main(String[]) - Static method in class org.apache.mahout.classifier.naivebayes.training.TrainNaiveBayesJob

main(String[]) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.BaumWelchTrainer

main(String[]) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.RandomSequenceGenerator

main(String[]) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.ViterbiEvaluator

main(String[]) - Static method in class org.apache.mahout.clustering.canopy.CanopyDriver

Deprecated.

main(String[]) - Static method in class org.apache.mahout.clustering.classify.ClusterClassificationDriver

main(String[]) - Static method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver

main(String[]) - Static method in class org.apache.mahout.clustering.kmeans.KMeansDriver

main(String[]) - Static method in class org.apache.mahout.clustering.lda.cvb.CVB0Driver

main(String[]) - Static method in class org.apache.mahout.clustering.lda.cvb.InMemoryCollapsedVariationalBayes0

main(String[]) - Static method in class org.apache.mahout.clustering.spectral.kmeans.SpectralKMeansDriver

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

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

main(String[]) - Static method in class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessorDriver

main(String[]) - Static method in class org.apache.mahout.driver.MahoutDriver

main(String[]) - Static method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver

Deprecated.

main(String[]) - Static method in class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob

Deprecated.

main(String[]) - Static method in class org.apache.mahout.math.hadoop.MatrixMultiplicationJob

main(String[]) - Static method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob

main(String[]) - Static method in class org.apache.mahout.math.hadoop.similarity.VectorDistanceSimilarityJob

main(String[]) - Static method in class org.apache.mahout.math.hadoop.solver.DistributedConjugateGradientSolver

main(String[]) - Static method in class org.apache.mahout.math.hadoop.stochasticsvd.SSVDCli

main(String[]) - Static method in class org.apache.mahout.math.hadoop.TransposeJob

main(String[]) - Static method in class org.apache.mahout.vectorizer.collocations.llr.CollocDriver

main(String[]) - Static method in class org.apache.mahout.vectorizer.DictionaryVectorizer

main(String[]) - Static method in class org.apache.mahout.vectorizer.EncodedVectorsFromSequenceFiles

main(String[]) - Static method in class org.apache.mahout.vectorizer.SparseVectorsFromSequenceFiles

main(String[]) - Static method in class org.apache.mahout.Version

main2(String[], Configuration) - Static method in class org.apache.mahout.clustering.lda.cvb.InMemoryCollapsedVariationalBayes0

majorityLabel(Random) - Method in class org.apache.mahout.classifier.df.data.Data

finds the majority label, breaking ties randomly
This method can be used when the criterion variable is the categorical attribute.

ManhattanDistanceMeasure - Class in org.apache.mahout.common.distance

This class implements a "manhattan distance" metric by summing the absolute values of the difference between each coordinate

ManhattanDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.ManhattanDistanceMeasure

map(LongWritable, Text, Mapper<LongWritable, Text, DoubleWritable, NullWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.als.FactorizationEvaluator.PredictRatingsMapper

map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, LongWritable, RecommendedItemsWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.als.PredictionMapper

map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.als.SolveExplicitFeedbackMapper

map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.als.SolveImplicitFeedbackMapper

map(LongWritable, Text, Mapper<LongWritable, Text, VarLongWritable, VarLongWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.ItemFilterMapper

map(LongWritable, Text, Mapper<LongWritable, Text, VarIntWritable, VarLongWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.ItemIDIndexMapper

map(VarIntWritable, VectorAndPrefsWritable, Mapper<VarIntWritable, VectorAndPrefsWritable, VarLongWritable, PrefAndSimilarityColumnWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.PartialMultiplyMapper

map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, VarIntWritable, VectorOrPrefWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.SimilarityMatrixRowWrapperMapper

map(VarLongWritable, VectorWritable, Mapper<VarLongWritable, VectorWritable, VarIntWritable, VectorOrPrefWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.UserVectorSplitterMapper

map(VarLongWritable, VectorWritable, Mapper<VarLongWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.preparation.ToItemVectorsMapper

map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, EntityEntityWritable, DoubleWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob.MostSimilarItemPairsMapper

map(LongWritable, Text, Mapper<LongWritable, Text, VarLongWritable, VarLongWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.ToEntityPrefsMapper

map(LongWritable, Text, Mapper<LongWritable, Text, DoubleWritable, Text>.Context) - Method in class org.apache.mahout.classifier.df.mapreduce.Classifier.CMapper

map(IntWritable, NullWritable, Mapper<IntWritable, NullWritable, IntWritable, MapredOutput>.Context) - Method in class org.apache.mahout.classifier.df.mapreduce.inmem.InMemMapper

map(LongWritable, Text, Mapper<LongWritable, Text, TreeID, MapredOutput>.Context) - Method in class org.apache.mahout.classifier.df.mapreduce.partial.Step1Mapper

map(Text, VectorWritable, Mapper<Text, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.test.BayesTestMapper

map(Text, VectorWritable, Mapper<Text, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.training.IndexInstancesMapper

map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.training.ThetaMapper

map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.training.WeightsMapper

map(WritableComparable<?>, VectorWritable, Mapper<WritableComparable<?>, VectorWritable, IntWritable, WeightedVectorWritable>.Context) - Method in class org.apache.mahout.clustering.classify.ClusterClassificationMapper

Mapper which classifies the vectors to respective clusters.

map(WritableComparable<?>, VectorWritable, Mapper<WritableComparable<?>, VectorWritable, IntWritable, ClusterWritable>.Context) - Method in class org.apache.mahout.clustering.iterator.CIMapper

map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.lda.cvb.CachingCVB0Mapper

map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, DoubleWritable, DoubleWritable>.Context) - Method in class org.apache.mahout.clustering.lda.cvb.CachingCVB0PerplexityMapper

map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.lda.cvb.CVB0DocInferenceMapper

map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.lda.cvb.CVB0TopicTermVectorNormalizerMapper

map(LongWritable, Text, Mapper<LongWritable, Text, IntWritable, DistributedRowMatrix.MatrixEntryWritable>.Context) - Method in class org.apache.mahout.clustering.spectral.AffinityMatrixInputMapper

map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, NullWritable, IntDoublePairWritable>.Context) - Method in class org.apache.mahout.clustering.spectral.MatrixDiagonalizeJob.MatrixDiagonalizeMapper

map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.spectral.UnitVectorizerJob.UnitVectorizerMapper

map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.spectral.VectorMatrixMultiplicationJob.VectorMatrixMultiplicationMapper

map(Writable, VectorWritable, Mapper<Writable, VectorWritable, IntWritable, CentroidWritable>.Context) - Method in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansMapper

map(IntWritable, WeightedVectorWritable, Mapper<IntWritable, WeightedVectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessorMapper

map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.common.mapreduce.TransposeMapper

map(Writable, VectorWritable, Mapper<Writable, VectorWritable, NullWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.MatrixColumnMeansJob.MatrixColumnMeansMapper

The mapper computes a running sum of the vectors the task has seen.

map(IntWritable, TupleWritable, OutputCollector<IntWritable, VectorWritable>, Reporter) - Method in class org.apache.mahout.math.hadoop.MatrixMultiplicationJob.MatrixMultiplyMapper

map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.CooccurrencesMapper

map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, NullWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.CountObservationsMapper

map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.UnsymmetrifyMapper

map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob.VectorNormMapper

map(WritableComparable<?>, VectorWritable, Mapper<WritableComparable<?>, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.VectorDistanceInvertedMapper

map(WritableComparable<?>, VectorWritable, Mapper<WritableComparable<?>, VectorWritable, StringTuple, DoubleWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.VectorDistanceMapper

map(IntWritable, Writable, Mapper<IntWritable, Writable, IntWritable, DoubleWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stats.StandardDeviationCalculatorMapper

map(Writable, VectorWritable, Mapper<Writable, VectorWritable, SplitPartitionedWritable, DenseBlockWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.ABtMapper

map(Writable, VectorWritable, Mapper<Writable, VectorWritable, SplitPartitionedWritable, SparseRowBlockWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.ABtMapper

map(Writable, VectorWritable, Mapper<Writable, VectorWritable, LongWritable, SparseRowBlockWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.BtJob.BtMapper

We maintain A and QtHat inputs partitioned the same way, so we essentially are performing map-side merge here of A and QtHats except QtHat is stored not row-wise but block-wise.

map(Writable, VectorWritable, Mapper<Writable, VectorWritable, SplitPartitionedWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.QJob.QMapper

map(Vector) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.qr.QRFirstStep

map(Writable, VectorWritable, Mapper<Writable, VectorWritable, Writable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.UJob.UMapper

map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.VJob.VMapper

map(Writable, VectorWritable, Mapper<Writable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.stochasticsvd.YtYJob.YtYMapper

map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, NullWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesMapper

map(T, VectorWritable, Mapper<T, VectorWritable, NullWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesSquaredMapper

map(Text, StringTuple, Mapper<Text, StringTuple, GramKey, Gram>.Context) - Method in class org.apache.mahout.vectorizer.collocations.llr.CollocMapper

Collocation finder: pass 1 map phase.

map(Text, Text, Mapper<Text, Text, Text, StringTuple>.Context) - Method in class org.apache.mahout.vectorizer.document.SequenceFileTokenizerMapper

map(Text, Text, Mapper<Text, Text, Text, VectorWritable>.Context) - Method in class org.apache.mahout.vectorizer.EncodingMapper

map(Text, StringTuple, Mapper<Text, StringTuple, Text, LongWritable>.Context) - Method in class org.apache.mahout.vectorizer.term.TermCountMapper

map(WritableComparable<?>, VectorWritable, Mapper<WritableComparable<?>, VectorWritable, IntWritable, LongWritable>.Context) - Method in class org.apache.mahout.vectorizer.term.TermDocumentCountMapper

Mapping - Class in org.apache.mahout.ep

Provides coordinate tranformations so that evolution can proceed on the entire space of reals but have the output limited and squished in convenient (and safe) ways.

Mapping.Exponential - Class in org.apache.mahout.ep

Mapping.Exponential() - Constructor for class org.apache.mahout.ep.Mapping.Exponential

Mapping.Identity - Class in org.apache.mahout.ep

Mapping.Identity() - Constructor for class org.apache.mahout.ep.Mapping.Identity

Mapping.LogLimit - Class in org.apache.mahout.ep

Mapping.LogLimit() - Constructor for class org.apache.mahout.ep.Mapping.LogLimit

Mapping.SoftLimit - Class in org.apache.mahout.ep

Mapping.SoftLimit() - Constructor for class org.apache.mahout.ep.Mapping.SoftLimit

MapredMapper<KEYIN,VALUEIN,KEYOUT,VALUEOUT> - Class in org.apache.mahout.classifier.df.mapreduce

Base class for Mapred mappers.

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

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

Used by various implementation to return the results of a build.
Contains a grown tree and and its oob predictions.

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

MapredOutput(Node, int[]) - Constructor for class org.apache.mahout.classifier.df.mapreduce.MapredOutput

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

MAPREDUCE_METHOD - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator

matches(T) - Method in interface org.apache.mahout.cf.taste.impl.common.Cache.MatchPredicate

materialize(Path, Configuration) - Static method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel

MatrixColumnMeansJob - Class in org.apache.mahout.math.hadoop

MatrixColumnMeansJob is a job for calculating the column-wise mean of a DistributedRowMatrix.

MatrixColumnMeansJob.MatrixColumnMeansMapper - Class in org.apache.mahout.math.hadoop

Mapper for calculation of column-wise mean.

MatrixColumnMeansJob.MatrixColumnMeansMapper() - Constructor for class org.apache.mahout.math.hadoop.MatrixColumnMeansJob.MatrixColumnMeansMapper

MatrixColumnMeansJob.MatrixColumnMeansReducer - Class in org.apache.mahout.math.hadoop

The reducer adds the partial column-wise sums from each of the mappers to compute the total column-wise sum.

MatrixColumnMeansJob.MatrixColumnMeansReducer() - Constructor for class org.apache.mahout.math.hadoop.MatrixColumnMeansJob.MatrixColumnMeansReducer

MatrixDiagonalizeJob - Class in org.apache.mahout.clustering.spectral

Given a matrix, this job returns a vector whose i_th element is the sum of all the elements in the i_th row of the original matrix.

MatrixDiagonalizeJob.MatrixDiagonalizeMapper - Class in org.apache.mahout.clustering.spectral

MatrixDiagonalizeJob.MatrixDiagonalizeMapper() - Constructor for class org.apache.mahout.clustering.spectral.MatrixDiagonalizeJob.MatrixDiagonalizeMapper

MatrixDiagonalizeJob.MatrixDiagonalizeReducer - Class in org.apache.mahout.clustering.spectral

MatrixDiagonalizeJob.MatrixDiagonalizeReducer() - Constructor for class org.apache.mahout.clustering.spectral.MatrixDiagonalizeJob.MatrixDiagonalizeReducer

MatrixMultiplicationJob - Class in org.apache.mahout.math.hadoop

This still uses the old MR api and as with all things in Mahout that are MapReduce is now part of 'mahout-mr'.

MatrixMultiplicationJob() - Constructor for class org.apache.mahout.math.hadoop.MatrixMultiplicationJob

MatrixMultiplicationJob.MatrixMultiplicationReducer - Class in org.apache.mahout.math.hadoop

MatrixMultiplicationJob.MatrixMultiplicationReducer() - Constructor for class org.apache.mahout.math.hadoop.MatrixMultiplicationJob.MatrixMultiplicationReducer

MatrixMultiplicationJob.MatrixMultiplyMapper - Class in org.apache.mahout.math.hadoop

MatrixMultiplicationJob.MatrixMultiplyMapper() - Constructor for class org.apache.mahout.math.hadoop.MatrixMultiplicationJob.MatrixMultiplyMapper

MatrixUtils - Class in org.apache.mahout.math

MAX_DF - Static variable in class org.apache.mahout.vectorizer.HighDFWordsPruner

MAX_DF - Static variable in class org.apache.mahout.vectorizer.tfidf.TFIDFConverter

MAX_DISTANCE - Static variable in class org.apache.mahout.math.hadoop.similarity.VectorDistanceSimilarityJob

MAX_ITERATIONS_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator

MAX_ITERATIONS_PER_DOC - Static variable in class org.apache.mahout.clustering.lda.cvb.CVB0Driver

MAX_NGRAMS - Static variable in class org.apache.mahout.vectorizer.DictionaryVectorizer

MAX_NUM_ITERATIONS - Static variable in class org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver

After mapping finishes, we get an intermediate set of vectors that represent approximate clusterings of the data from each Mapper.

MAX_REDUCERS_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator

MAX_SHINGLE_SIZE - Static variable in class org.apache.mahout.vectorizer.collocations.llr.CollocMapper

MAX_SIMILARITIES_PER_ITEM - Static variable in class org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob

MAX_TREEID - Static variable in class org.apache.mahout.classifier.df.mapreduce.partial.TreeID

maxDepth() - Method in class org.apache.mahout.classifier.df.node.CategoricalNode

maxDepth() - Method in class org.apache.mahout.classifier.df.node.