Class KNearestNeighborDocumentClassifier

java.lang.Object
org.apache.lucene.classification.KNearestNeighborClassifier
org.apache.lucene.classification.document.KNearestNeighborDocumentClassifier
All Implemented Interfaces:
Classifier<BytesRef>, DocumentClassifier<BytesRef>

public class KNearestNeighborDocumentClassifier extends KNearestNeighborClassifier implements DocumentClassifier<BytesRef>
A k-Nearest Neighbor Document classifier (see http://en.wikipedia.org/wiki/K-nearest_neighbors) based on MoreLikeThis .
WARNING: This API is experimental and might change in incompatible ways in the next release.
  • Field Details

    • field2analyzer

      protected final Map<String,Analyzer> field2analyzer
      map of per field analyzers
  • Constructor Details

    • KNearestNeighborDocumentClassifier

      public KNearestNeighborDocumentClassifier(IndexReader indexReader, Similarity similarity, Query query, int k, int minDocsFreq, int minTermFreq, String classFieldName, Map<String,Analyzer> field2analyzer, String... textFieldNames)
      Parameters:
      indexReader - the reader on the index to be used for classification
      similarity - the Similarity to be used by the underlying IndexSearcher or null (defaults to BM25Similarity)
      query - a Query to eventually filter the docs used for training the classifier, or null if all the indexed docs should be used
      k - the no. of docs to select in the MLT results to find the nearest neighbor
      minDocsFreq - MoreLikeThis.minDocFreq parameter
      minTermFreq - MoreLikeThis.minTermFreq parameter
      classFieldName - the name of the field used as the output for the classifier
      field2analyzer - map with key a field name and the related {org.apache.lucene.analysis.Analyzer}
      textFieldNames - the name of the fields used as the inputs for the classifier, they can contain boosting indication e.g. title^10
  • Method Details