pitt.search.semanticvectors
Class VectorSearcher.VectorSearcherTensorSim

java.lang.Object
  pitt.search.semanticvectors.VectorSearcher
      pitt.search.semanticvectors.VectorSearcher.VectorSearcherTensorSim

Enclosing class:

VectorSearcher

public static class VectorSearcher.VectorSearcherTensorSim
extends VectorSearcher

Class for searching a vector store using tensor product similarity. The class takes a seed tensor as a training example. This tensor should be entangled (a superposition of several individual products A * B) for non-trivial results.

Nested Class Summary

Nested classes/interfaces inherited from class pitt.search.semanticvectors.VectorSearcher

VectorSearcher.BalancedVectorSearcherPerm, VectorSearcher.VectorSearcherConvolutionSim, VectorSearcher.VectorSearcherCosine, VectorSearcher.VectorSearcherCosineSparse, VectorSearcher.VectorSearcherMaxSim, VectorSearcher.VectorSearcherPerm, VectorSearcher.VectorSearcherSubspaceSim, VectorSearcher.VectorSearcherTensorSim

Constructor Summary

VectorSearcher.VectorSearcherTensorSim(VectorStore queryVecStore, VectorStore searchVecStore, LuceneUtils luceneUtils, java.lang.String[] queryTerms)

Method Summary

float

getScore(float[] testVector) This needs to be filled in for each subclass.

Methods inherited from class pitt.search.semanticvectors.VectorSearcher

getNearestNeighbors

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

VectorSearcher.VectorSearcherTensorSim

public VectorSearcher.VectorSearcherTensorSim(VectorStore queryVecStore,
                                              VectorStore searchVecStore,
                                              LuceneUtils luceneUtils,
                                              java.lang.String[] queryTerms)
                                       throws ZeroVectorException

Parameters:

queryVecStore - Vector store to use for query generation.

searchVecStore - The vector store to search.

luceneUtils - LuceneUtils object to use for query weighting. (May be null.)

queryTerms - Terms that will be parsed into a query expression. This should be a list of one or more tilde-separated training pairs, e.g., paris~france berlin~germany followed by a list of one or more search terms, e.g., london birmingham.

Throws:

ZeroVectorException

Method Detail

getScore

public float getScore(float[] testVector)

Description copied from class: VectorSearcher

This needs to be filled in for each subclass. It takes an individual vector and assigns it a relevance score for this VectorSearcher.

Specified by:

getScore in class VectorSearcher

Parameters:

testVector - Vector being tested. Scores are hopefully high when the relationship between queryVector and testVector is analogous to the relationship between rel1 and rel2.