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See:
Description
Class Summary | |
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CarmelTopKTermPruningPolicy | Pruning policy with a search quality parameterized guarantee - configuration of this policy allows to specify two parameters: k and ε such that: |
CarmelTopKTermPruningPolicy.ByDocComparator | |
CarmelUniformTermPruningPolicy | Enhanced implementation of Carmel Uniform Pruning, |
CarmelUniformTermPruningPolicy.ByDocComparator | |
PruningPolicy | General Definitions for Index Pruning, such as operations to be performed on field data. |
PruningTool | A command-line tool to configure and run a PruningReader on an input
index and produce a pruned output index using
IndexWriter.addIndexes(IndexReader...) . |
RIDFTermPruningPolicy | Implementation of TermPruningPolicy that uses "residual IDF"
metric to determine the postings of terms to keep/remove, as defined in
http://www.dc.fi.udc.es/~barreiro/publications/blanco_barreiro_ecir2007.pdf. |
StorePruningPolicy | Pruning policy for removing stored fields from documents. |
TermPruningPolicy | Policy for producing smaller index out of an input index, by examining its terms
and removing from the index some or all of their data as follows:
all terms of a certain field - see TermPruningPolicy.pruneAllFieldPostings(String)
all data of a certain term - see TermPruningPolicy.pruneTermEnum(TermEnum)
all positions of a certain term in a certain document - see #pruneAllPositions(TermPositions, Term)
some positions of a certain term in a certain document - see #pruneSomePositions(int, int[], Term)
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TFTermPruningPolicy | Policy for producing smaller index out of an input index, by removing postings data for those terms where their in-document frequency is below a specified threshold. |
This package provides a framework for pruning an existing index into a smaller index while retaining visible search quality as much as possible.
An index can be pruned in several levels:
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