Uses of Class
com.sun.labs.minion.retrieval.ResultSetImpl

Packages that use ResultSetImpl
com.sun.labs.minion.classification Provides the automatic document classification functionality in Minion. 
com.sun.labs.minion.clustering Provides document clustering functionality. 
com.sun.labs.minion.retrieval Provides the query evaluation capabilities for Minion. 
 

Uses of ResultSetImpl in com.sun.labs.minion.classification
 

Fields in com.sun.labs.minion.classification declared as ResultSetImpl
protected  ResultSetImpl KFoldSplitter.parent
          The full results, as passed in
protected  ResultSetImpl RandomTwoThirdsSplitter.parent
          The full results, as passed in
protected  ResultSetImpl KFoldSplitter.train
          The set that should be trained on
protected  ResultSetImpl RandomTwoThirdsSplitter.train
          The set that should be trained on
protected  ResultSetImpl QueryZone.training
          The training set for the class under construction
protected  ResultSetImpl KFoldSplitter.validate
          The set that should be used for validation
protected  ResultSetImpl RandomTwoThirdsSplitter.validate
          The set that should be used for validation
 

Methods in com.sun.labs.minion.classification that return ResultSetImpl
 ResultSetImpl KFoldSplitter.getTrainSet()
          Gets the first of the two subset
 ResultSetImpl NoSplitsSplitter.getTrainSet()
          Gets the first of the two subset
 ResultSetImpl RandomTwoThirdsSplitter.getTrainSet()
          Gets the first of the two subset
 ResultSetImpl ResultSplitter.getTrainSet()
          Gets the first of the two subset
 ResultSetImpl KFoldSplitter.getValidateSet()
          Gets the second of the two subsets
 ResultSetImpl NoSplitsSplitter.getValidateSet()
          Gets the second of the two subsets
 ResultSetImpl RandomTwoThirdsSplitter.getValidateSet()
          Gets the second of the two subsets
 ResultSetImpl ResultSplitter.getValidateSet()
          Gets the second of the two subsets
 

Methods in com.sun.labs.minion.classification with parameters of type ResultSetImpl
 FeatureClusterSet ContingencyFeatureClusterer.cluster(ResultSetImpl s)
          Creates a set of clusters based on all of the terms in the documents contained in the ResultSet.
 FeatureClusterSet FeatureClusterer.cluster(ResultSetImpl s)
          Creates a set of clusters based on all of the terms in the documents contained in the ResultSet.
 FeatureClusterSet KnowledgeSourceClusterer.cluster(ResultSetImpl s)
           
 FeatureClusterSet MorphClusterer.cluster(ResultSetImpl s)
           
 FeatureClusterSet SimpleClusterer.cluster(ResultSetImpl s)
          Clusters features with the same name, adding the weights.
 FeatureClusterSet WeightedFeatureClusterer.cluster(ResultSetImpl s)
           
 void KFoldSplitter.init(ResultSetImpl parent, IndexConfig iC)
           
 void NoSplitsSplitter.init(ResultSetImpl results, IndexConfig iC)
           
 void RandomTwoThirdsSplitter.init(ResultSetImpl parent, IndexConfig iC)
           
 void ResultSplitter.init(ResultSetImpl results, IndexConfig iC)
          Initializes the class.
protected  ClassifierModel ClassifierMemoryPartition.selectBestModel(java.lang.String name, java.lang.String fieldName, java.lang.String fromField, ResultSetImpl results, ResultSplitter splitter, Progress progress)
           
 void BalancedWinnow.train(java.lang.String name, java.lang.String fieldName, PartitionManager manager, ResultSetImpl training, FeatureClusterSet selectedFeatures, java.util.Map<java.lang.String,TermStatsImpl> termStats, java.util.Map<DiskPartition,TermCache> termCaches, Progress progress)
          Train a balanced winnow classifier.
 void ClassifierModel.train(java.lang.String name, java.lang.String fieldName, PartitionManager manager, ResultSetImpl docs, FeatureClusterSet fcs, java.util.Map<java.lang.String,TermStatsImpl> termStats, java.util.Map<DiskPartition,TermCache> termCaches, Progress progress)
          Trains the classifier on a set of documents.
 void Rocchio.train(java.lang.String name, java.lang.String fieldName, PartitionManager manager, ResultSetImpl training, FeatureClusterSet selectedFeatures, java.util.Map<java.lang.String,TermStatsImpl> termStats, java.util.Map<DiskPartition,TermCache> termCaches, Progress progress)
          Trains the classifier on a set of documents.
 void ClassifierMemoryPartition.train(java.lang.String name, java.lang.String fieldName, java.lang.String fromField, ResultSetImpl results, Progress progress)
          Train a classifier.
 

Constructors in com.sun.labs.minion.classification with parameters of type ResultSetImpl
QueryZone(ResultSetImpl training, java.lang.String fromField, FeatureClusterSet featureClusters, java.util.Map<java.lang.String,TermStatsImpl> termStats, java.util.Map<DiskPartition,TermCache> termCaches, PartitionManager manager)
           
 

Uses of ResultSetImpl in com.sun.labs.minion.clustering
 

Fields in com.sun.labs.minion.clustering declared as ResultSetImpl
protected  ResultSetImpl AbstractClusterer.rs
           
 

Uses of ResultSetImpl in com.sun.labs.minion.retrieval
 

Methods in com.sun.labs.minion.retrieval with parameters of type ResultSetImpl
 boolean ResultSetImpl.same(ResultSetImpl other)
          A method to test whether two result sets are the same.
 

Constructors in com.sun.labs.minion.retrieval with parameters of type ResultSetImpl
ResultSetImpl(ResultSetImpl parent, ResultSetImpl.AGDocs[] docs)
          Constructs a partial result set from the docs passed in.