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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
 
AbstractThetaTrainer - Class in org.apache.mahout.classifier.naivebayes.training
 
AbstractThetaTrainer(Vector, Vector, double) - Constructor for class org.apache.mahout.classifier.naivebayes.training.AbstractThetaTrainer
 
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
 
accumSize - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtDenseOutJob.QRReducer
 
accumSize - Variable in class org.apache.mahout.math.hadoop.stochasticsvd.ABtJob.QRReducer
 
accumulate(IntArrayList, long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPTree
Adds an itemset with the given occurrance count.
accumulate(List<Integer>, long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPTree
Adds an itemset with the given occurrance count.
accumulate(long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPTree.FPNode
 
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
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(int, long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
 
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.
addable(long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FrequentPatternMaxHeap
 
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(FrequentPatternMaxHeap, int, long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FrequentPatternMaxHeap
 
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
 
addChild(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
addChild(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
 
addCount(int, long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
addCount(int, long) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
 
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[]);
addHeaderCount(int, long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
addHeaderNext(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
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
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.
addPattern(IntArrayList, long) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
 
addPointToCanopies(Vector, Collection<Canopy>) - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer
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
 
AggregatorMapper - Class in org.apache.mahout.fpm.pfpgrowth
outputs the pattern for each item in the pattern, so that reducer can group them and select the top K frequent patterns
AggregatorMapper() - Constructor for class org.apache.mahout.fpm.pfpgrowth.AggregatorMapper
 
AggregatorReducer - Class in org.apache.mahout.fpm.pfpgrowth
groups all Frequent Patterns containing an item and outputs the top K patterns containing that particular item
AggregatorReducer() - Constructor for class org.apache.mahout.fpm.pfpgrowth.AggregatorReducer
 
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.AbstractThetaTrainer
 
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
 
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
 
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.
attribute(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
attribute() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPTree.FPNode
 
attribute(int) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
 
attrIterableRev() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPTree
Returns an Iterable over the attributes in the tree, sorted by frequency (high to low).
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
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
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.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
 
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.
buildTransposeJobConf(Path, Path, int) - Static method in class org.apache.mahout.math.hadoop.TransposeJob
 
buildTransposeJobConf(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
This class models a canopy as a center point, the number of points that are contained within it according to the application of some distance metric, and a point total which is the sum of all the points and is used to compute the centroid when needed.
Canopy() - Constructor for class org.apache.mahout.clustering.canopy.Canopy
Used for deserialization as a writable
Canopy(Vector, int, DistanceMeasure) - Constructor for class org.apache.mahout.clustering.canopy.Canopy
Create a new Canopy containing the given point and canopyId
CanopyClusterer - Class in org.apache.mahout.clustering.canopy
 
CanopyClusterer(DistanceMeasure, double, double) - Constructor for class org.apache.mahout.clustering.canopy.CanopyClusterer
 
CanopyClusterer(Configuration) - Constructor for class org.apache.mahout.clustering.canopy.CanopyClusterer
 
CanopyClusteringPolicy - Class in org.apache.mahout.clustering.iterator
This is a simple maximum likelihood clustering policy, suitable for k-means clustering
CanopyClusteringPolicy() - Constructor for class org.apache.mahout.clustering.iterator.CanopyClusteringPolicy
 
CanopyConfigKeys - Class in org.apache.mahout.clustering.canopy
 
canopyCovers(Canopy, Vector) - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer
Return if the point is covered by the canopy
CanopyDriver - Class in org.apache.mahout.clustering.canopy
 
CanopyDriver() - Constructor for class org.apache.mahout.clustering.canopy.CanopyDriver
 
CanopyReducer - Class in org.apache.mahout.clustering.canopy
 
CanopyReducer() - Constructor for class org.apache.mahout.clustering.canopy.CanopyReducer
 
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
 
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
 
child(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPTree.FPNode
 
childAtIndex(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
childAtIndex(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
 
childCount(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
childCount() - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
 
childCount(int) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
 
children() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPTree.FPNode
 
childWithAttribute(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
childWithAttribute(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
 
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
 
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
 
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.fpm.pfpgrowth.fpgrowth.FPTree
 
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
 
clearConditional() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
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
 
clone() - Method in class org.apache.mahout.math.VarIntWritable
 
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
 
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(Collection<? extends Closeable>) - Static method in class org.apache.mahout.common.IOUtils
make sure to close all sources, log all of the problems occurred, clear closeables (to prevent repeating close attempts), re-throw the last one at the end.
close() - Method in class org.apache.mahout.common.IOUtils.DeleteFileOnClose
 
close() - Method in class org.apache.mahout.common.IOUtils.MultipleOutputsCloseableAdapter
 
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
 
close() - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesSquaredMapper
 
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_DIR - Static variable in interface org.apache.mahout.clustering.Cluster
 
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.
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(K, V) - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.ContextWriteOutputCollector
 
collect(Integer, List<Pair<List<Integer>, Long>>) - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.integer.IntegerStringOutputConverter
 
collect(K, V) - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.SequenceFileOutputCollector
 
collect(String, List<Pair<List<String>, Long>>) - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.string.StringOutputConverter
 
collect(Integer, FrequentPatternMaxHeap) - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.TopKPatternsOutputConverter
 
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(Pair<A, B>, Pair<A, B>) - Method in class org.apache.mahout.fpm.pfpgrowth.CountDescendingPairComparator
 
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(Pattern) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
 
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
 
compareTo(VarIntWritable) - Method in class org.apache.mahout.math.VarIntWritable
 
compareTo(VarLongWritable) - Method in class org.apache.mahout.math.VarLongWritable
 
COMPLEMENTARY - Static variable in class org.apache.mahout.classifier.naivebayes.test.TestNaiveBayesDriver
 
ComplementaryNaiveBayesClassifier - Class in org.apache.mahout.classifier.naivebayes
Class implementing 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
 
computeNext() - Method in class org.apache.mahout.fpm.pfpgrowth.MultiTransactionTreeIterator
 
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
 
conditional(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
conf(Parametered) - Static method in class org.apache.mahout.common.parameters.Parametered.ParameteredGeneralizations
 
config(DistanceMeasure, double, double) - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer
Configure the Canopy for unit tests
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.canopy.CanopyClusterer
Configure the Canopy and its distance measure
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
 
configure(JobConf) - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesSquaredMapper
 
configure(JobConf) - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.VectorSummingReducer
 
configure(JobConf) - Method in class org.apache.mahout.math.hadoop.TransposeJob.TransposeMapper
 
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
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
 
contains(K) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.LeastKCache
 
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
 
ContextStatusUpdater<IK extends org.apache.hadoop.io.Writable,IV extends org.apache.hadoop.io.Writable,K extends org.apache.hadoop.io.Writable,V extends org.apache.hadoop.io.Writable> - Class in org.apache.mahout.fpm.pfpgrowth.convertors
Updates the Context object of a Reducer class
ContextStatusUpdater(Reducer<IK, IV, K, V>.Context) - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.ContextStatusUpdater
 
ContextWriteOutputCollector<IK extends org.apache.hadoop.io.Writable,IV extends org.apache.hadoop.io.Writable,K extends org.apache.hadoop.io.Writable,V extends org.apache.hadoop.io.Writable> - Class in org.apache.mahout.fpm.pfpgrowth.convertors
An output collector for Reducer for PFPGrowth which updates the status as well as writes the patterns generated by the algorithm
ContextWriteOutputCollector(Reducer<IK, IV, K, V>.Context) - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.ContextWriteOutputCollector
 
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
 
count(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
count() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FrequentPatternMaxHeap
 
count() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPTree.FPNode
 
count(int) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
 
CountbasedMeasure - Class in org.apache.mahout.math.hadoop.similarity.cooccurrence.measures
 
CountbasedMeasure() - Constructor for class org.apache.mahout.math.hadoop.similarity.cooccurrence.measures.CountbasedMeasure
 
CountDescendingPairComparator<A extends Comparable<? super A>,B extends Comparable<? super B>> - Class in org.apache.mahout.fpm.pfpgrowth
Defines an ordering on Pairs whose second element is a count.
CountDescendingPairComparator() - Constructor for class org.apache.mahout.fpm.pfpgrowth.CountDescendingPairComparator
 
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
Iterate through the points, adding new canopies.
createConditionalNode(int, long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
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
 
createMoreFreqConditionalTree(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPTree
Returns a conditional FP tree based on the targetAttr, containing only items that are more frequent.
createNode(int, int, long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
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
 
createRootNode() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
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.
createTimesJobConf(Vector, int, Path, Path) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
 
createTimesJobConf(Configuration, Vector, int, Path, Path) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
 
createTimesSquaredJobConf(Vector, Path, Path) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
 
createTimesSquaredJobConf(Configuration, Vector, Path, Path) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
 
createTimesSquaredJobConf(Vector, Path, Path, Class<? extends TimesSquaredJob.TimesSquaredMapper>, Class<? extends TimesSquaredJob.VectorSummingReducer>) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
 
createTimesSquaredJobConf(Configuration, Vector, Path, Path, Class<? extends TimesSquaredJob.TimesSquaredMapper>, Class<? extends TimesSquaredJob.VectorSummingReducer>) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
 
createTimesSquaredJobConf(Vector, int, Path, Path, Class<? extends TimesSquaredJob.TimesSquaredMapper>, Class<? extends TimesSquaredJob.VectorSummingReducer>) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
 
createTimesSquaredJobConf(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
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
 
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_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_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_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
 
delegate() - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.TransactionIterator
 
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
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
The derivation of identity function (f(x) = x).
derivativeMinusSquared - Static variable in class org.apache.mahout.classifier.mlp.NeuralNetworkFunctions
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
 
DISTANCE_MEASURE_KEY - Static variable in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansConfigKeys
 
DISTANCE_MEASURE_KEY - Static variable in class org.apache.mahout.clustering.kmeans.KMeansConfigKeys
Configuration key for distance measure to use.
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
See the SSVD code for a better option than using this: https://cwiki.apache.org/confluence/display/MAHOUT/Stochastic+Singular+Value+Decomposition
DistributedLanczosSolver() - Constructor for class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
 
DistributedLanczosSolver.DistributedLanczosSolverJob - Class in org.apache.mahout.math.hadoop.decomposer
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
 
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) - Method in class org.apache.mahout.cf.taste.impl.recommender.AllSimilarItemsCandidateItemsStrategy
 
doGetCandidateItems(long[], DataModel) - Method in class org.apache.mahout.cf.taste.impl.recommender.AllUnknownItemsCandidateItemsStrategy
return all items the user has not yet seen
doGetCandidateItems(long[], DataModel) - 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) - 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.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
Class for taking the output of an eigendecomposition (specified as a Path location), and verifies correctness, in terms of the following: if you have a vector e, and a matrix m, then let e' = m.timesSquared(v); the error w.r.t.
EigenVerificationJob() - Constructor for class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob
 
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
 
ENCODING - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
 
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.fpm.pfpgrowth.fpgrowth.Pattern
 
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
 
equals(Object) - Method in class org.apache.mahout.math.VarIntWritable
 
equals(Object) - Method in class org.apache.mahout.math.VarLongWritable
 
equals(Object) - Method in class org.apache.mahout.math.VectorWritable
 
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

F_LIST - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
 
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.AbstractThetaTrainer
 
fetchVector(Path, int) - Method in class org.apache.mahout.math.hadoop.decomposer.HdfsBackedLanczosState
 
FILE_PATTERN - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
 
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
 
finalLayerIdx - Variable in class org.apache.mahout.classifier.mlp.NeuralNetwork
 
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
 
FLAG_DENSE - Static variable in class org.apache.mahout.math.VectorWritable
 
FLAG_LAX_PRECISION - Static variable in class org.apache.mahout.math.VectorWritable
 
FLAG_NAMED - Static variable in class org.apache.mahout.math.VectorWritable
 
FLAG_SEQUENTIAL - Static variable in class org.apache.mahout.math.VectorWritable
 
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
forward(int, Vector) - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork
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
FP_GROWTH - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
 
FPGrowth<A extends Comparable<? super A>> - Class in org.apache.mahout.fpm.pfpgrowth.fpgrowth
Implementation of PFGrowth Algorithm with FP-Bonsai pruning
FPGrowth() - Constructor for class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPGrowth
 
FPGrowthDriver - Class in org.apache.mahout.fpm.pfpgrowth
 
FPGrowthIds - Class in org.apache.mahout.fpm.pfpgrowth.fpgrowth2
Implementation of PFGrowth Algorithm
FPGrowthObj<A extends Comparable<? super A>> - Class in org.apache.mahout.fpm.pfpgrowth.fpgrowth2
Implementation of PFGrowth Algorithm
FPGrowthObj() - Constructor for class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPGrowthObj
 
FPTree - Class in org.apache.mahout.fpm.pfpgrowth.fpgrowth
The Frequent Pattern Tree datastructure used for mining patterns using FPGrowth algorithm
FPTree() - Constructor for class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
FPTree(int) - Constructor for class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
FPTree - Class in org.apache.mahout.fpm.pfpgrowth.fpgrowth2
A straightforward implementation of FPTrees as described in Han et.
FPTree(LongArrayList, long) - Constructor for class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPTree
Creates an FPTree using the attribute counts in attrCountList.
FPTree(long[], long) - Constructor for class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPTree
Creates an FPTree using the attribute counts in attrCounts.
FPTree.FPNode - Class in org.apache.mahout.fpm.pfpgrowth.fpgrowth2
 
FPTreeDepthCache - Class in org.apache.mahout.fpm.pfpgrowth.fpgrowth
Caches large FPTree Object for each level of the recursive FPGrowth algorithm to reduce allocation overhead.
FPTreeDepthCache() - Constructor for class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTreeDepthCache
 
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
 
FREQUENT_PATTERNS - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
 
FrequentPatternMaxHeap - Class in org.apache.mahout.fpm.pfpgrowth.fpgrowth
keeps top K Attributes in a TreeSet
FrequentPatternMaxHeap(int, boolean) - Constructor for class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FrequentPatternMaxHeap
 
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
 
FuzzyKMeansConfigKeys - Class in org.apache.mahout.clustering.fuzzykmeans
 
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
generateFList(Iterator<Pair<List<A>, Long>>, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPGrowth
Generate the Feature Frequency list from the given transaction whose frequency > minSupport
generateFList(Iterator<Pair<List<A>, Long>>, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPGrowthObj
Generate the Feature Frequency list from the given transaction whose frequency > minSupport
generateFList() - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
 
generateNGrams() - Method in class org.apache.mahout.common.nlp.NGrams
 
generateNGramsWithoutLabel() - Method in class org.apache.mahout.common.nlp.NGrams
 
generateTopKFrequentPatterns(Iterator<Pair<List<A>, Long>>, Collection<Pair<A, Long>>, long, int, Collection<A>, OutputCollector<A, List<Pair<List<A>, Long>>>, StatusUpdater) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPGrowth
Generate Top K Frequent Patterns for every feature in returnableFeatures given a stream of transactions and the minimum support
generateTopKFrequentPatterns(Iterator<Pair<IntArrayList, Long>>, LongArrayList, long, int, IntArrayList, OutputCollector<Integer, List<Pair<List<Integer>, Long>>>) - Static method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPGrowthIds
Generate Top K Frequent Patterns for every feature in returnableFeatures given a stream of transactions and the minimum support
generateTopKFrequentPatterns(Iterator<Pair<List<A>, Long>>, Collection<Pair<A, Long>>, long, int, Collection<A>, OutputCollector<A, List<Pair<List<A>, Long>>>) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPGrowthObj
Generate Top K Frequent Patterns for every feature in returnableFeatures given a stream of transactions and the minimum support
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
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.
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(K) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.LeastKCache
 
get() - Method in class org.apache.mahout.math.hadoop.similarity.cooccurrence.MutableElement
 
get() - Method in class org.apache.mahout.math.MatrixWritable
 
get() - Method in class org.apache.mahout.math.VarIntWritable
 
get() - Method in class org.apache.mahout.math.VarLongWritable
 
get() - Method in class org.apache.mahout.math.VectorWritable
 
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) - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender
 
getAllOtherItems(long[], long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericBooleanPrefUserBasedRecommender
 
getAllOtherItems(long[], long) - 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
 
getAttributeAtIndex(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
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.
getCaches() - Method in class org.apache.mahout.vectorizer.encoders.CachingContinuousValueEncoder
 
getCaches() - Method in class org.apache.mahout.vectorizer.encoders.CachingStaticWordValueEncoder
 
getCandidateItems(long, PreferenceArray, DataModel) - 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) - 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
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
 
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
 
getCompressedTree() - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
 
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
 
getConf() - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
 
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
Get the corresponding derivation of double double function by the name.
getDerivativeDoubleFunction(String) - Static method in class org.apache.mahout.classifier.mlp.NeuralNetworkFunctions
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
Get the corresponding double-double function by the name.
getDoubleFunction(String) - Static method in class org.apache.mahout.classifier.mlp.NeuralNetworkFunctions
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
 
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
 
getFirstLevelTree(Integer) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTreeDepthCache
 
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
 
getGroup(int, int) - Static method in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
 
getGroupKey() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.TrainingExample
 
getGroupMembers(int, int, int) - Static method in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
 
getHash() - Method in class org.apache.mahout.math.neighborhood.HashedVector
 
getHeaderNext(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
getHeaderSupportCount(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
getHeaderTableAttributes() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
getHeaderTableCount() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
getHeap() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FrequentPatternMaxHeap
 
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
getHits() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTreeDepthCache
 
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
 
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
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
 
getItemIDMappings() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization
 
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
 
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
Get the size of a particular layer.
getLayerSizeList() - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork
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
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
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
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
 
getMisses() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTreeDepthCache
 
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
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
Get the type of the model.
getMomentumWeight() - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork
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
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
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
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
 
getPattern() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
 
getPatterns() - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.string.TopKStringPatterns
 
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
 
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
 
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
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
 
getT2() - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer
 
getT3() - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer
 
getT4() - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer
 
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
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
 
getTree(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTreeDepthCache
 
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
 
getUserIDMappings() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.Factorization
 
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
 
getWeightMatrices() - Method in class org.apache.mahout.classifier.mlp.NeuralNetwork
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
Get the weights between layer layerIdx and layerIdx + 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.fpm.pfpgrowth.fpgrowth.Pattern
 
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
 
hashCode() - Method in class org.apache.mahout.math.VarIntWritable
 
hashCode() - Method in class org.apache.mahout.math.VarLongWritable
 
hashCode() - Method in class org.apache.mahout.math.VectorWritable
 
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(String, int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.CachingContinuousValueEncoder
 
hashForProbe(String, 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
 
headerCount(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth2.FPTree
Returns the count of the given attribute, as supplied on construction.
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.
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 - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
 
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..
insert(Pattern) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FrequentPatternMaxHeap
 
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
IntegerStringOutputConverter - Class in org.apache.mahout.fpm.pfpgrowth.convertors.integer
Collects the Patterns with Integer id and Long support and converts them to Pattern of Strings based on a reverse feature lookup map.
IntegerStringOutputConverter(OutputCollector<Text, TopKStringPatterns>, List<String>) - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.integer.IntegerStringOutputConverter
 
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
 
IOUtils - Class in org.apache.mahout.common
I/O-related utility methods that don't have a better home.
IOUtils.DeleteFileOnClose - Class in org.apache.mahout.common
for temporary files, a file may be considered as a Closeable too, where file is wiped on close and thus the disk resource is released ('closed').
IOUtils.DeleteFileOnClose(File) - Constructor for class org.apache.mahout.common.IOUtils.DeleteFileOnClose
 
IOUtils.MultipleOutputsCloseableAdapter - Class in org.apache.mahout.common
MultipleOutputs to closeable adapter.
IOUtils.MultipleOutputsCloseableAdapter(MultipleOutputs) - Constructor for class org.apache.mahout.common.IOUtils.MultipleOutputsCloseableAdapter
 
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
 
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
 
isEmpty() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
 
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.fpm.pfpgrowth.fpgrowth.FrequentPatternMaxHeap
 
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
 
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
 
isSubPatternOf(Pattern) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
 
isTraceEnabled() - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
 
isTreeEmpty() - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
 
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
 
isWritesLaxPrecision() - Method in class org.apache.mahout.math.VectorWritable
 
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
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.fpm.pfpgrowth.convertors.string.TopKStringPatterns
 
iterator() - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
 
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
 
job() - Method in class org.apache.mahout.math.hadoop.solver.DistributedConjugateGradientSolver
 

K

K - Static variable in class org.apache.mahout.clustering.kmeans.EigenSeedGenerator
 
K - Static variable in class org.apache.mahout.clustering.kmeans.RandomSeedGenerator
 
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
 
KMeansConfigKeys - Class in org.apache.mahout.clustering.kmeans
This class holds all config keys that are relevant to be used in the KMeans MapReduce configuration.
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.AbstractThetaTrainer
 
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
 
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
 
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
LeastKCache<K extends Comparable<? super K>,V> - Class in org.apache.mahout.fpm.pfpgrowth.fpgrowth
 
LeastKCache(int) - Constructor for class org.apache.mahout.fpm.pfpgrowth.fpgrowth.LeastKCache
 
leastSupport() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FrequentPatternMaxHeap
 
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
length() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
 
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, 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
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.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
 
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.topdown.postprocessor.ClusterOutputPostProcessorDriver
 
main(String[]) - Static method in class org.apache.mahout.driver.MahoutDriver
 
main(String[]) - Static method in class org.apache.mahout.fpm.pfpgrowth.FPGrowthDriver
 
main(String[]) - Static method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
 
main(String[]) - Static method in class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob
 
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.