Uses of Package
pitt.search.semanticvectors

Packages that use pitt.search.semanticvectors

pitt.search.semanticvectors

Semantic Vector indexes, created by applying a Random Projection algorithm to term-document matrices created using Apache Lucene.

Classes in pitt.search.semanticvectors used by pitt.search.semanticvectors

CloseableVectorStore
Some vector stores (e.g., those that read from the filesystem) claim resources that aren't automatically garbage collected or released.

LuceneUtils
Class to support reading extra information from Lucene indexes, including term frequency, doc frequency.

ObjectVector
This class provides a basic object (e.g., term or document id) and corresponding vector.

SearchResult
Class to represent search results.

TermVectorsFromLucene
Implementation of vector store that creates term vectors by iterating through all the terms in a Lucene index.

VectorSearcher
Class for searching vector stores using different scoring functions.

VectorStore
Classes implementing this interface are used to represent a collection of object vectors, including i.

VectorStoreSparseRAM
This class provides methods for reading a VectorStore into memory as an optimization if batching many searches.

ZeroVectorException