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

Packages that use VectorWritable
org.apache.mahout.cf.taste.hadoop   
org.apache.mahout.cf.taste.hadoop.item   
org.apache.mahout.cf.taste.hadoop.similarity.item   
org.apache.mahout.classifier.naivebayes.trainer   
org.apache.mahout.clustering This package provides several clustering algorithm implementations. 
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.meanshift   
org.apache.mahout.clustering.spectral.common   
org.apache.mahout.clustering.spectral.eigencuts   
org.apache.mahout.math.hadoop   
org.apache.mahout.math.hadoop.similarity   
org.apache.mahout.vectorizer.common   
org.apache.mahout.vectorizer.term   
org.apache.mahout.vectorizer.tfidf   
 

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

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

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.similarity.item
 

Methods in org.apache.mahout.cf.taste.hadoop.similarity.item with parameters of type VectorWritable
protected  void 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.trainer
 

Methods in org.apache.mahout.classifier.naivebayes.trainer with parameters of type VectorWritable
protected  void NaiveBayesWeightsMapper.map(org.apache.hadoop.io.IntWritable key, VectorWritable value, org.apache.hadoop.mapreduce.Mapper.Context context)
           
protected  void NaiveBayesThetaMapper.map(org.apache.hadoop.io.IntWritable key, VectorWritable value, org.apache.hadoop.mapreduce.Mapper.Context context)
           
protected  void NaiveBayesThetaComplementaryMapper.map(org.apache.hadoop.io.IntWritable key, VectorWritable value, org.apache.hadoop.mapreduce.Mapper.Context context)
           
protected  void NaiveBayesInstanceMapper.map(org.apache.hadoop.io.Text key, VectorWritable value, org.apache.hadoop.mapreduce.Mapper.Context context)
           
 

Method parameters in org.apache.mahout.classifier.naivebayes.trainer with type arguments of type VectorWritable
protected  void NaiveBayesSumReducer.reduce(org.apache.hadoop.io.WritableComparable<?> key, java.lang.Iterable<VectorWritable> values, org.apache.hadoop.mapreduce.Reducer.Context context)
           
 

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
 void AbstractCluster.observe(VectorWritable x)
           
 double DistanceMeasureCluster.pdf(VectorWritable vw)
           
 

Constructor parameters in org.apache.mahout.clustering with type arguments of type VectorWritable
VectorModelClassifier(java.util.List<Model<VectorWritable>> models)
           
 

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, java.lang.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, java.util.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, java.util.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)
           
 double DirichletCluster.pdf(VectorWritable x)
           
 

Method parameters in org.apache.mahout.clustering.dirichlet with type arguments of type VectorWritable
static org.apache.hadoop.fs.Path DirichletDriver.buildClusters(org.apache.hadoop.conf.Configuration conf, org.apache.hadoop.fs.Path input, org.apache.hadoop.fs.Path output, ModelDistribution<VectorWritable> modelDistribution, int numClusters, int maxIterations, double alpha0, boolean runSequential)
          Iterate over the input vectors to produce cluster directories for each iteration
static java.util.List<Cluster[]> DirichletClusterer.clusterPoints(java.util.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 java.util.List<Cluster[]> DirichletClusterer.clusterPoints(java.util.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
protected static DirichletState DirichletMapper.loadState(org.apache.hadoop.conf.Configuration conf, java.lang.String statePath, ModelDistribution<VectorWritable> modelDistribution, double alpha, int k)
           
protected  void DirichletReducer.reduce(org.apache.hadoop.io.Text key, java.lang.Iterable<VectorWritable> values, org.apache.hadoop.mapreduce.Reducer.Context context)
           
static void DirichletDriver.run(org.apache.hadoop.conf.Configuration conf, org.apache.hadoop.fs.Path input, org.apache.hadoop.fs.Path output, ModelDistribution<VectorWritable> modelDistribution, int numModels, int maxIterations, double alpha0, boolean runClustering, boolean emitMostLikely, double threshold, boolean runSequential)
          Iterate over the input vectors to produce clusters and, if requested, use the results of the final iteration to cluster the input vectors.
static void DirichletDriver.run(org.apache.hadoop.fs.Path input, org.apache.hadoop.fs.Path output, ModelDistribution<VectorWritable> modelDistribution, int numClusters, int maxIterations, double alpha0, boolean runClustering, boolean emitMostLikely, double threshold, boolean runSequential)
          Convenience method provides default Configuration Iterate over the input vectors to produce clusters and, if requested, use the results of the final iteration to cluster the input vectors.
 void DirichletState.setModelFactory(ModelDistribution<VectorWritable> modelFactory)
           
 

Constructor parameters in org.apache.mahout.clustering.dirichlet with type arguments of type VectorWritable
DirichletClusterer(java.util.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(java.util.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
 Model<VectorWritable> GaussianCluster.sampleFromPosterior()
           
 

Methods in org.apache.mahout.clustering.dirichlet.models with parameters of type VectorWritable
 void NormalModel.observe(VectorWritable x)
           
 void L1Model.observe(VectorWritable x)
           
 void AsymmetricSampledNormalModel.observe(VectorWritable v)
           
 double NormalModel.pdf(VectorWritable v)
           
 double L1Model.pdf(VectorWritable x)
           
 double GaussianCluster.pdf(VectorWritable vw)
           
 double AsymmetricSampledNormalModel.pdf(VectorWritable v)
           
 void AbstractVectorModelDistribution.setModelPrototype(VectorWritable modelPrototype)
           
 

Constructors in org.apache.mahout.clustering.dirichlet.models with parameters of type VectorWritable
AbstractVectorModelDistribution(VectorWritable modelPrototype)
           
AsymmetricSampledNormalDistribution(VectorWritable modelPrototype)
           
DistanceMeasureClusterDistribution(VectorWritable modelPrototype)
           
DistanceMeasureClusterDistribution(VectorWritable modelPrototype, DistanceMeasure measure)
           
GaussianClusterDistribution(VectorWritable modelPrototype)
           
L1ModelDistribution(VectorWritable modelPrototype)
           
NormalModelDistribution(VectorWritable modelPrototype)
           
SampledNormalDistribution(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, java.util.List<SoftCluster> clusters, org.apache.hadoop.mapreduce.Mapper.Context context)
           
 void FuzzyKMeansClusterer.emitPointToClusters(VectorWritable point, java.util.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 LDAMapper.map(org.apache.hadoop.io.WritableComparable<?> key, VectorWritable wordCountsWritable, 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.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.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,DistributedRowMatrix.MatrixEntryWritable> 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 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 TransposeJob.TransposeReducer.reduce(org.apache.hadoop.io.IntWritable outRow, java.util.Iterator<DistributedRowMatrix.MatrixEntryWritable> 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, java.util.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, java.util.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, java.util.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, java.util.Iterator<VectorWritable> vectors, org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.NullWritable,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 RowSimilarityJob.RowWeightMapper.map(org.apache.hadoop.io.IntWritable row, VectorWritable vectorWritable, org.apache.hadoop.mapreduce.Mapper.Context ctx)
           
 

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, java.lang.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, java.lang.Iterable<VectorWritable> values, org.apache.hadoop.mapreduce.Reducer.Context context)
           
 



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