Uses of Class
org.apache.mahout.math.VectorWritable

Packages that use VectorWritable
org.apache.mahout.cf.taste.hadoop.item   
org.apache.mahout.cf.taste.hadoop.preparation   
org.apache.mahout.cf.taste.hadoop.similarity.item   
org.apache.mahout.classifier.naivebayes.test   
org.apache.mahout.classifier.naivebayes.training   
org.apache.mahout.clustering  
org.apache.mahout.clustering.canopy   
org.apache.mahout.clustering.dirichlet   
org.apache.mahout.clustering.dirichlet.models   
org.apache.mahout.clustering.fuzzykmeans   
org.apache.mahout.clustering.kmeans This package provides an implementation of the k-means clustering algorithm. 
org.apache.mahout.clustering.lda   
org.apache.mahout.clustering.lda.cvb   
org.apache.mahout.clustering.meanshift   
org.apache.mahout.clustering.minhash   
org.apache.mahout.clustering.spectral.common   
org.apache.mahout.clustering.spectral.eigencuts   
org.apache.mahout.clustering.topdown.postprocessor   
org.apache.mahout.common.mapreduce   
org.apache.mahout.math   
org.apache.mahout.math.hadoop   
org.apache.mahout.math.hadoop.similarity   
org.apache.mahout.math.hadoop.similarity.cooccurrence   
org.apache.mahout.math.hadoop.stochasticsvd   
org.apache.mahout.math.hadoop.stochasticsvd.qr   
org.apache.mahout.vectorizer.common   
org.apache.mahout.vectorizer.pruner   
org.apache.mahout.vectorizer.term   
org.apache.mahout.vectorizer.tfidf   
 

Uses of VectorWritable in org.apache.mahout.cf.taste.hadoop.item
 

Methods in org.apache.mahout.cf.taste.hadoop.item with parameters of type VectorWritable
protected  void SimilarityMatrixRowWrapperMapper.map(org.apache.hadoop.io.IntWritable key, VectorWritable value, org.apache.hadoop.mapreduce.Mapper.Context context)
           
protected  void UserVectorSplitterMapper.map(VarLongWritable key, VectorWritable value, org.apache.hadoop.mapreduce.Mapper.Context context)
           
 

Uses of VectorWritable in org.apache.mahout.cf.taste.hadoop.preparation
 

Methods in org.apache.mahout.cf.taste.hadoop.preparation with parameters of type VectorWritable
protected  void ToItemVectorsMapper.map(VarLongWritable rowIndex, VectorWritable vectorWritable, org.apache.hadoop.mapreduce.Mapper.Context ctx)
           
 

Method parameters in org.apache.mahout.cf.taste.hadoop.preparation with type arguments of type VectorWritable
protected  void ToItemVectorsReducer.reduce(org.apache.hadoop.io.IntWritable row, Iterable<VectorWritable> vectors, org.apache.hadoop.mapreduce.Reducer.Context ctx)
           
 

Uses of VectorWritable in org.apache.mahout.cf.taste.hadoop.similarity.item
 

Methods in org.apache.mahout.cf.taste.hadoop.similarity.item with parameters of type VectorWritable
protected  void ItemSimilarityJob.MostSimilarItemPairsMapper.map(org.apache.hadoop.io.IntWritable itemIDIndexWritable, VectorWritable similarityVector, org.apache.hadoop.mapreduce.Mapper.Context ctx)
           
 

Uses of VectorWritable in org.apache.mahout.classifier.naivebayes.test
 

Methods in org.apache.mahout.classifier.naivebayes.test with parameters of type VectorWritable
protected  void BayesTestMapper.map(org.apache.hadoop.io.Text key, VectorWritable value, org.apache.hadoop.mapreduce.Mapper.Context context)
           
 

Uses of VectorWritable in org.apache.mahout.classifier.naivebayes.training
 

Methods in org.apache.mahout.classifier.naivebayes.training with parameters of type VectorWritable
protected  void WeightsMapper.map(org.apache.hadoop.io.IntWritable index, VectorWritable value, org.apache.hadoop.mapreduce.Mapper.Context ctx)
           
protected  void ThetaMapper.map(org.apache.hadoop.io.IntWritable key, VectorWritable value, org.apache.hadoop.mapreduce.Mapper.Context ctx)
           
protected  void IndexInstancesMapper.map(org.apache.hadoop.io.Text labelText, VectorWritable instance, org.apache.hadoop.mapreduce.Mapper.Context ctx)
           
 

Uses of VectorWritable in org.apache.mahout.clustering
 

Methods in org.apache.mahout.clustering that return types with arguments of type VectorWritable
 Model<VectorWritable> Model.sampleFromPosterior()
           
 Model<VectorWritable> DistanceMeasureCluster.sampleFromPosterior()
           
 

Methods in org.apache.mahout.clustering with parameters of type VectorWritable
protected  void CIMapper.map(org.apache.hadoop.io.WritableComparable<?> key, VectorWritable value, org.apache.hadoop.mapreduce.Mapper.Context context)
           
 void AbstractCluster.observe(VectorWritable x)
           
 void AbstractCluster.observe(VectorWritable x, double weight)
           
 double DistanceMeasureCluster.pdf(VectorWritable vw)
           
 

Method parameters in org.apache.mahout.clustering with type arguments of type VectorWritable
 void AbstractCluster.observe(Model<VectorWritable> x)
           
 

Uses of VectorWritable in org.apache.mahout.clustering.canopy
 

Methods in org.apache.mahout.clustering.canopy with parameters of type VectorWritable
protected  void ClusterMapper.map(org.apache.hadoop.io.WritableComparable<?> key, VectorWritable point, org.apache.hadoop.mapreduce.Mapper.Context context)
           
 

Method parameters in org.apache.mahout.clustering.canopy with type arguments of type VectorWritable
protected  void CanopyReducer.reduce(org.apache.hadoop.io.Text arg0, Iterable<VectorWritable> values, org.apache.hadoop.mapreduce.Reducer.Context context)
           
 

Uses of VectorWritable in org.apache.mahout.clustering.dirichlet
 

Methods in org.apache.mahout.clustering.dirichlet that return types with arguments of type VectorWritable
 ModelDistribution<VectorWritable> DirichletState.getModelFactory()
           
 Model<VectorWritable> DirichletCluster.sampleFromPosterior()
           
 

Methods in org.apache.mahout.clustering.dirichlet with parameters of type VectorWritable
 double DirichletState.adjustedProbability(VectorWritable x, int k)
          return the adjusted probability that x is described by the kth model
protected  int DirichletClusterer.assignToModel(VectorWritable observation)
          Assign the observation to one of the models based upon probabilities
 void DirichletClusterer.emitPointToClusters(VectorWritable vector, List<DirichletCluster> clusters, org.apache.hadoop.mapreduce.Mapper.Context context)
          Emit the point to one or more clusters depending upon clusterer state
 void DirichletClusterer.emitPointToClusters(VectorWritable vector, List<DirichletCluster> clusters, org.apache.hadoop.io.SequenceFile.Writer writer)
          Emit the point to one or more clusters depending upon clusterer state
protected  void DirichletClusterMapper.map(org.apache.hadoop.io.WritableComparable<?> key, VectorWritable vector, org.apache.hadoop.mapreduce.Mapper.Context context)
           
protected  void DirichletMapper.map(org.apache.hadoop.io.WritableComparable<?> key, VectorWritable v, org.apache.hadoop.mapreduce.Mapper.Context context)
           
protected  void DirichletClusterer.observe(Model<VectorWritable>[] newModels, VectorWritable observation)
           
 void DirichletCluster.observe(VectorWritable x)
           
 void DirichletCluster.observe(VectorWritable x, double weight)
           
 double DirichletCluster.pdf(VectorWritable x)
           
 

Method parameters in org.apache.mahout.clustering.dirichlet with type arguments of type VectorWritable
static List<Cluster[]> DirichletClusterer.clusterPoints(List<VectorWritable> points, ModelDistribution<VectorWritable> modelFactory, double alpha0, int numClusters, int thin, int burnin, int numIterations)
          Create a new instance on the sample data with the given additional parameters
static List<Cluster[]> DirichletClusterer.clusterPoints(List<VectorWritable> points, ModelDistribution<VectorWritable> modelFactory, double alpha0, int numClusters, int thin, int burnin, int numIterations)
          Create a new instance on the sample data with the given additional parameters
 void DirichletCluster.observe(Model<VectorWritable> x)
           
protected  void DirichletReducer.reduce(org.apache.hadoop.io.Text key, Iterable<VectorWritable> values, org.apache.hadoop.mapreduce.Reducer.Context context)
           
 void DirichletState.setModelFactory(ModelDistribution<VectorWritable> modelFactory)
           
 

Constructor parameters in org.apache.mahout.clustering.dirichlet with type arguments of type VectorWritable
DirichletClusterer(List<VectorWritable> sampleData, ModelDistribution<VectorWritable> modelFactory, double alpha0, int numClusters, int thin, int burnin)
          Create a new instance on the sample data with the given additional parameters
DirichletClusterer(List<VectorWritable> sampleData, ModelDistribution<VectorWritable> modelFactory, double alpha0, int numClusters, int thin, int burnin)
          Create a new instance on the sample data with the given additional parameters
DirichletState(ModelDistribution<VectorWritable> modelFactory, int numClusters, double alpha0)
           
 

Uses of VectorWritable in org.apache.mahout.clustering.dirichlet.models
 

Methods in org.apache.mahout.clustering.dirichlet.models that return VectorWritable
 VectorWritable AbstractVectorModelDistribution.getModelPrototype()
           
 

Methods in org.apache.mahout.clustering.dirichlet.models that return types with arguments of type VectorWritable
 ModelDistribution<VectorWritable> DistributionDescription.createModelDistribution()
          Create an instance of AbstractVectorModelDistribution from the given command line arguments
 Model<VectorWritable> GaussianCluster.sampleFromPosterior()
           
 

Methods in org.apache.mahout.clustering.dirichlet.models with parameters of type VectorWritable
 double GaussianCluster.pdf(VectorWritable vw)
           
 void AbstractVectorModelDistribution.setModelPrototype(VectorWritable modelPrototype)
           
 

Constructors in org.apache.mahout.clustering.dirichlet.models with parameters of type VectorWritable
AbstractVectorModelDistribution(VectorWritable modelPrototype)
           
DistanceMeasureClusterDistribution(VectorWritable modelPrototype)
           
DistanceMeasureClusterDistribution(VectorWritable modelPrototype, DistanceMeasure measure)
           
GaussianClusterDistribution(VectorWritable modelPrototype)
           
 

Uses of VectorWritable in org.apache.mahout.clustering.fuzzykmeans
 

Methods in org.apache.mahout.clustering.fuzzykmeans with parameters of type VectorWritable
 void FuzzyKMeansClusterer.emitPointToClusters(VectorWritable point, List<SoftCluster> clusters, org.apache.hadoop.mapreduce.Mapper.Context context)
           
 void FuzzyKMeansClusterer.emitPointToClusters(VectorWritable point, List<SoftCluster> clusters, org.apache.hadoop.io.SequenceFile.Writer writer)
           
protected  void FuzzyKMeansClusterMapper.map(org.apache.hadoop.io.WritableComparable<?> key, VectorWritable point, org.apache.hadoop.mapreduce.Mapper.Context context)
           
protected  void FuzzyKMeansMapper.map(org.apache.hadoop.io.WritableComparable<?> key, VectorWritable point, org.apache.hadoop.mapreduce.Mapper.Context context)
           
 double SoftCluster.pdf(VectorWritable vw)
           
 

Uses of VectorWritable in org.apache.mahout.clustering.kmeans
 

Methods in org.apache.mahout.clustering.kmeans with parameters of type VectorWritable
protected  void KMeansClusterMapper.map(org.apache.hadoop.io.WritableComparable<?> key, VectorWritable point, org.apache.hadoop.mapreduce.Mapper.Context context)
           
protected  void KMeansMapper.map(org.apache.hadoop.io.WritableComparable<?> key, VectorWritable point, org.apache.hadoop.mapreduce.Mapper.Context context)
           
 

Uses of VectorWritable in org.apache.mahout.clustering.lda
 

Methods in org.apache.mahout.clustering.lda with parameters of type VectorWritable
protected  void LDAWordTopicMapper.map(org.apache.hadoop.io.WritableComparable<?> key, VectorWritable wordCountsWritable, org.apache.hadoop.mapreduce.Mapper.Context context)
           
protected  void LDADocumentTopicMapper.map(org.apache.hadoop.io.WritableComparable<?> key, VectorWritable wordCountsWritable, org.apache.hadoop.mapreduce.Mapper.Context context)
           
 

Uses of VectorWritable in org.apache.mahout.clustering.lda.cvb
 

Methods in org.apache.mahout.clustering.lda.cvb with parameters of type VectorWritable
 void CachingCVB0PerplexityMapper.map(org.apache.hadoop.io.IntWritable docId, VectorWritable document, org.apache.hadoop.mapreduce.Mapper.Context context)
           
protected  void CVB0TopicTermVectorNormalizerMapper.map(org.apache.hadoop.io.IntWritable key, VectorWritable value, org.apache.hadoop.mapreduce.Mapper.Context context)
           
 void CVB0DocInferenceMapper.map(org.apache.hadoop.io.IntWritable docId, VectorWritable doc, org.apache.hadoop.mapreduce.Mapper.Context context)
           
 void CachingCVB0Mapper.map(org.apache.hadoop.io.IntWritable docId, VectorWritable document, org.apache.hadoop.mapreduce.Mapper.Context context)
           
 

Uses of VectorWritable in org.apache.mahout.clustering.meanshift
 

Methods in org.apache.mahout.clustering.meanshift with parameters of type VectorWritable
protected  void MeanShiftCanopyCreatorMapper.map(org.apache.hadoop.io.WritableComparable<?> key, VectorWritable point, org.apache.hadoop.mapreduce.Mapper.Context context)
           
 double MeanShiftCanopy.pdf(VectorWritable vw)
           
 

Uses of VectorWritable in org.apache.mahout.clustering.minhash
 

Methods in org.apache.mahout.clustering.minhash with parameters of type VectorWritable
 void MinHashMapper.map(org.apache.hadoop.io.Text item, VectorWritable features, org.apache.hadoop.mapreduce.Mapper.Context context)
          Hash all items with each function and retain min.
 

Uses of VectorWritable in org.apache.mahout.clustering.spectral.common
 

Methods in org.apache.mahout.clustering.spectral.common with parameters of type VectorWritable
protected  void VectorMatrixMultiplicationJob.VectorMatrixMultiplicationMapper.map(org.apache.hadoop.io.IntWritable key, VectorWritable row, org.apache.hadoop.mapreduce.Mapper.Context ctx)
           
protected  void UnitVectorizerJob.UnitVectorizerMapper.map(org.apache.hadoop.io.IntWritable row, VectorWritable vector, org.apache.hadoop.mapreduce.Mapper.Context context)
           
protected  void MatrixDiagonalizeJob.MatrixDiagonalizeMapper.map(org.apache.hadoop.io.IntWritable key, VectorWritable row, org.apache.hadoop.mapreduce.Mapper.Context context)
           
 

Uses of VectorWritable in org.apache.mahout.clustering.spectral.eigencuts
 

Methods in org.apache.mahout.clustering.spectral.eigencuts with parameters of type VectorWritable
protected  void EigencutsSensitivityMapper.map(org.apache.hadoop.io.IntWritable row, VectorWritable vw, org.apache.hadoop.mapreduce.Mapper.Context context)
           
protected  void EigencutsAffinityCutsJob.EigencutsAffinityCutsMapper.map(org.apache.hadoop.io.IntWritable key, VectorWritable row, org.apache.hadoop.mapreduce.Mapper.Context context)
           
 

Uses of VectorWritable in org.apache.mahout.clustering.topdown.postprocessor
 

Method parameters in org.apache.mahout.clustering.topdown.postprocessor with type arguments of type VectorWritable
protected  void ClusterOutputPostProcessorReducer.reduce(org.apache.hadoop.io.Text key, Iterable<VectorWritable> values, org.apache.hadoop.mapreduce.Reducer.Context context)
          The key is the cluster id and the values contains the points in that cluster.
 

Uses of VectorWritable in org.apache.mahout.common.mapreduce
 

Methods in org.apache.mahout.common.mapreduce with parameters of type VectorWritable
protected  void TransposeMapper.map(org.apache.hadoop.io.IntWritable r, VectorWritable v, org.apache.hadoop.mapreduce.Mapper.Context ctx)
           
 

Method parameters in org.apache.mahout.common.mapreduce with type arguments of type VectorWritable
protected  void VectorSumReducer.reduce(org.apache.hadoop.io.WritableComparable<?> key, Iterable<VectorWritable> values, org.apache.hadoop.mapreduce.Reducer.Context ctx)
           
 void MergeVectorsReducer.reduce(org.apache.hadoop.io.WritableComparable<?> key, Iterable<VectorWritable> vectors, org.apache.hadoop.mapreduce.Reducer.Context ctx)
           
 void MergeVectorsCombiner.reduce(org.apache.hadoop.io.WritableComparable<?> key, Iterable<VectorWritable> vectors, org.apache.hadoop.mapreduce.Reducer.Context ctx)
           
 

Uses of VectorWritable in org.apache.mahout.math
 

Methods in org.apache.mahout.math that return VectorWritable
static VectorWritable VectorWritable.merge(Iterator<VectorWritable> vectors)
           
 

Method parameters in org.apache.mahout.math with type arguments of type VectorWritable
static VectorWritable VectorWritable.merge(Iterator<VectorWritable> vectors)
           
 

Uses of VectorWritable in org.apache.mahout.math.hadoop
 

Methods in org.apache.mahout.math.hadoop with parameters of type VectorWritable
 void TransposeJob.TransposeMapper.map(org.apache.hadoop.io.IntWritable r, VectorWritable v, org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.IntWritable,VectorWritable> out, org.apache.hadoop.mapred.Reporter reporter)
           
 void TimesSquaredJob.TimesMapper.map(org.apache.hadoop.io.IntWritable rowNum, VectorWritable v, org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.NullWritable,VectorWritable> out, org.apache.hadoop.mapred.Reporter rep)
           
 void TimesSquaredJob.TimesSquaredMapper.map(T rowNum, VectorWritable v, org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.NullWritable,VectorWritable> out, org.apache.hadoop.mapred.Reporter rep)
           
protected  double TimesSquaredJob.TimesSquaredMapper.scale(VectorWritable v)
           
 

Method parameters in org.apache.mahout.math.hadoop with type arguments of type VectorWritable
 void MatrixMultiplicationJob.MatrixMultiplyMapper.map(org.apache.hadoop.io.IntWritable index, org.apache.hadoop.mapred.join.TupleWritable v, org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.IntWritable,VectorWritable> out, org.apache.hadoop.mapred.Reporter reporter)
           
 void TransposeJob.TransposeMapper.map(org.apache.hadoop.io.IntWritable r, VectorWritable v, org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.IntWritable,VectorWritable> out, org.apache.hadoop.mapred.Reporter reporter)
           
 void TimesSquaredJob.TimesMapper.map(org.apache.hadoop.io.IntWritable rowNum, VectorWritable v, org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.NullWritable,VectorWritable> out, org.apache.hadoop.mapred.Reporter rep)
           
 void TimesSquaredJob.TimesSquaredMapper.map(T rowNum, VectorWritable v, org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.NullWritable,VectorWritable> out, org.apache.hadoop.mapred.Reporter rep)
           
 void MatrixMultiplicationJob.MatrixMultiplicationReducer.reduce(org.apache.hadoop.io.IntWritable rowNum, Iterator<VectorWritable> it, org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.IntWritable,VectorWritable> out, org.apache.hadoop.mapred.Reporter reporter)
           
 void MatrixMultiplicationJob.MatrixMultiplicationReducer.reduce(org.apache.hadoop.io.IntWritable rowNum, Iterator<VectorWritable> it, org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.IntWritable,VectorWritable> out, org.apache.hadoop.mapred.Reporter reporter)
           
 void TimesSquaredJob.VectorSummingReducer.reduce(org.apache.hadoop.io.NullWritable n, Iterator<VectorWritable> vectors, org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.NullWritable,VectorWritable> out, org.apache.hadoop.mapred.Reporter reporter)
           
 void TimesSquaredJob.VectorSummingReducer.reduce(org.apache.hadoop.io.NullWritable n, Iterator<VectorWritable> vectors, org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.NullWritable,VectorWritable> out, org.apache.hadoop.mapred.Reporter reporter)
           
 void TransposeJob.MergeVectorsCombiner.reduce(org.apache.hadoop.io.WritableComparable<?> key, Iterator<VectorWritable> vectors, org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.WritableComparable<?>,VectorWritable> out, org.apache.hadoop.mapred.Reporter reporter)
           
 void TransposeJob.MergeVectorsCombiner.reduce(org.apache.hadoop.io.WritableComparable<?> key, Iterator<VectorWritable> vectors, org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.WritableComparable<?>,VectorWritable> out, org.apache.hadoop.mapred.Reporter reporter)
           
 void TransposeJob.MergeVectorsReducer.reduce(org.apache.hadoop.io.WritableComparable<?> key, Iterator<VectorWritable> vectors, org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.WritableComparable<?>,VectorWritable> out, org.apache.hadoop.mapred.Reporter reporter)
           
 void TransposeJob.MergeVectorsReducer.reduce(org.apache.hadoop.io.WritableComparable<?> key, Iterator<VectorWritable> vectors, org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.WritableComparable<?>,VectorWritable> out, org.apache.hadoop.mapred.Reporter reporter)
           
 

Uses of VectorWritable in org.apache.mahout.math.hadoop.similarity
 

Methods in org.apache.mahout.math.hadoop.similarity with parameters of type VectorWritable
protected  void VectorDistanceMapper.map(org.apache.hadoop.io.WritableComparable<?> key, VectorWritable value, org.apache.hadoop.mapreduce.Mapper.Context context)
           
protected  void VectorDistanceInvertedMapper.map(org.apache.hadoop.io.WritableComparable<?> key, VectorWritable value, org.apache.hadoop.mapreduce.Mapper.Context context)
           
 

Uses of VectorWritable in org.apache.mahout.math.hadoop.similarity.cooccurrence
 

Methods in org.apache.mahout.math.hadoop.similarity.cooccurrence with parameters of type VectorWritable
protected  void RowSimilarityJob.VectorNormMapper.map(org.apache.hadoop.io.IntWritable row, VectorWritable vectorWritable, org.apache.hadoop.mapreduce.Mapper.Context ctx)
           
protected  void RowSimilarityJob.CooccurrencesMapper.map(org.apache.hadoop.io.IntWritable column, VectorWritable occurrenceVector, org.apache.hadoop.mapreduce.Mapper.Context ctx)
           
protected  void RowSimilarityJob.UnsymmetrifyMapper.map(org.apache.hadoop.io.IntWritable row, VectorWritable similaritiesWritable, org.apache.hadoop.mapreduce.Mapper.Context ctx)
           
static Vector.Element[] Vectors.toArray(VectorWritable vectorWritable)
           
 

Method parameters in org.apache.mahout.math.hadoop.similarity.cooccurrence with type arguments of type VectorWritable
static Vector Vectors.merge(Iterable<VectorWritable> partialVectors)
           
protected  void RowSimilarityJob.MergeVectorsCombiner.reduce(org.apache.hadoop.io.IntWritable row, Iterable<VectorWritable> partialVectors, org.apache.hadoop.mapreduce.Reducer.Context ctx)
           
protected  void RowSimilarityJob.MergeVectorsReducer.reduce(org.apache.hadoop.io.IntWritable row, Iterable<VectorWritable> partialVectors, org.apache.hadoop.mapreduce.Reducer.Context ctx)
           
protected  void RowSimilarityJob.SimilarityReducer.reduce(org.apache.hadoop.io.IntWritable row, Iterable<VectorWritable> partialDots, org.apache.hadoop.mapreduce.Reducer.Context ctx)
           
protected  void RowSimilarityJob.MergeToTopKSimilaritiesReducer.reduce(org.apache.hadoop.io.IntWritable row, Iterable<VectorWritable> partials, org.apache.hadoop.mapreduce.Reducer.Context ctx)
           
 

Uses of VectorWritable in org.apache.mahout.math.hadoop.stochasticsvd
 

Fields in org.apache.mahout.math.hadoop.stochasticsvd with type parameters of type VectorWritable
protected  org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.Writable,VectorWritable> ABtJob.QRReducer.rhatCollector
           
protected  org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.Writable,VectorWritable> ABtDenseOutJob.QRReducer.rhatCollector
           
 

Methods in org.apache.mahout.math.hadoop.stochasticsvd with parameters of type VectorWritable
protected  void VJob.VMapper.map(org.apache.hadoop.io.IntWritable key, VectorWritable value, org.apache.hadoop.mapreduce.Mapper.Context context)
           
protected  void YtYJob.YtYMapper.map(org.apache.hadoop.io.Writable key, VectorWritable value, org.apache.hadoop.mapreduce.Mapper.Context context)
           
protected  void BtJob.BtMapper.map(org.apache.hadoop.io.Writable key, VectorWritable value, org.apache.hadoop.mapreduce.Mapper.Context context)
          We maintain A and QtHat inputs partitioned the same way, so we essentially are performing map-side merge here of A and QtHats except QtHat is stored not row-wise but block-wise.
protected  void ABtDenseOutJob.ABtMapper.map(org.apache.hadoop.io.Writable key, VectorWritable value, org.apache.hadoop.mapreduce.Mapper.Context context)
           
protected  void ABtJob.ABtMapper.map(org.apache.hadoop.io.Writable key, VectorWritable value, org.apache.hadoop.mapreduce.Mapper.Context context)
           
protected  void QJob.QMapper.map(org.apache.hadoop.io.Writable key, VectorWritable value, org.apache.hadoop.mapreduce.Mapper.Context context)
           
protected  void UJob.UMapper.map(org.apache.hadoop.io.Writable key, VectorWritable value, org.apache.hadoop.mapreduce.Mapper.Context context)
           
 

Method parameters in org.apache.mahout.math.hadoop.stochasticsvd with type arguments of type VectorWritable
protected  void YtYJob.YtYReducer.reduce(org.apache.hadoop.io.IntWritable key, Iterable<VectorWritable> values, org.apache.hadoop.mapreduce.Reducer.Context arg2)
           
 

Uses of VectorWritable in org.apache.mahout.math.hadoop.stochasticsvd.qr
 

Constructor parameters in org.apache.mahout.math.hadoop.stochasticsvd.qr with type arguments of type VectorWritable
QRFirstStep(org.apache.hadoop.conf.Configuration jobConf, org.apache.hadoop.mapred.OutputCollector<? super org.apache.hadoop.io.Writable,? super DenseBlockWritable> qtHatOut, org.apache.hadoop.mapred.OutputCollector<? super org.apache.hadoop.io.Writable,? super VectorWritable> rHatOut)
           
QRLastStep(Iterator<DenseBlockWritable> qHatInput, Iterator<VectorWritable> rHatInput, int blockNum)
           
 

Uses of VectorWritable in org.apache.mahout.vectorizer.common
 

Method parameters in org.apache.mahout.vectorizer.common with type arguments of type VectorWritable
protected  void PartialVectorMergeReducer.reduce(org.apache.hadoop.io.WritableComparable<?> key, Iterable<VectorWritable> values, org.apache.hadoop.mapreduce.Reducer.Context context)
           
 

Uses of VectorWritable in org.apache.mahout.vectorizer.pruner
 

Method parameters in org.apache.mahout.vectorizer.pruner with type arguments of type VectorWritable
protected  void WordsPrunerReducer.reduce(org.apache.hadoop.io.WritableComparable<?> key, Iterable<VectorWritable> values, org.apache.hadoop.mapreduce.Reducer.Context context)
           
protected  void PrunedPartialVectorMergeReducer.reduce(org.apache.hadoop.io.WritableComparable<?> key, Iterable<VectorWritable> values, org.apache.hadoop.mapreduce.Reducer.Context context)
           
 

Uses of VectorWritable in org.apache.mahout.vectorizer.term
 

Methods in org.apache.mahout.vectorizer.term with parameters of type VectorWritable
protected  void TermDocumentCountMapper.map(org.apache.hadoop.io.WritableComparable<?> key, VectorWritable value, org.apache.hadoop.mapreduce.Mapper.Context context)
           
 

Uses of VectorWritable in org.apache.mahout.vectorizer.tfidf
 

Method parameters in org.apache.mahout.vectorizer.tfidf with type arguments of type VectorWritable
protected  void TFIDFPartialVectorReducer.reduce(org.apache.hadoop.io.WritableComparable<?> key, Iterable<VectorWritable> values, org.apache.hadoop.mapreduce.Reducer.Context context)
           
 



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