Class SimpleNaiveBayesDocumentClassifier
- java.lang.Object
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- org.apache.lucene.classification.SimpleNaiveBayesClassifier
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- org.apache.lucene.classification.document.SimpleNaiveBayesDocumentClassifier
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- All Implemented Interfaces:
Classifier<BytesRef>,DocumentClassifier<BytesRef>
public class SimpleNaiveBayesDocumentClassifier extends SimpleNaiveBayesClassifier implements DocumentClassifier<BytesRef>
A simplistic Lucene based NaiveBayes classifier, seehttp://en.wikipedia.org/wiki/Naive_Bayes_classifier- WARNING: This API is experimental and might change in incompatible ways in the next release.
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Field Summary
Fields Modifier and Type Field Description protected Map<String,Analyzer>field2analyzerAnalyzerto be used for tokenizing document fields-
Fields inherited from class org.apache.lucene.classification.SimpleNaiveBayesClassifier
analyzer, classFieldName, indexReader, indexSearcher, query, textFieldNames
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Constructor Summary
Constructors Constructor Description SimpleNaiveBayesDocumentClassifier(IndexReader indexReader, Query query, String classFieldName, Map<String,Analyzer> field2analyzer, String... textFieldNames)Creates a new NaiveBayes classifier.
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description ClassificationResult<BytesRef>assignClass(Document document)Assign a class (with score) to the givenDocumentList<ClassificationResult<BytesRef>>getClasses(Document document)Get all the classes (sorted by score, descending) assigned to the givenDocument.List<ClassificationResult<BytesRef>>getClasses(Document document, int max)Get the firstmaxclasses (sorted by score, descending) assigned to the given text String.protected String[]getTokenArray(TokenStream tokenizedText)Returns a token array from theTokenStreamin input-
Methods inherited from class org.apache.lucene.classification.SimpleNaiveBayesClassifier
assignClass, assignClassNormalizedList, countDocsWithClass, getClasses, getClasses, normClassificationResults, tokenize
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Constructor Detail
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SimpleNaiveBayesDocumentClassifier
public SimpleNaiveBayesDocumentClassifier(IndexReader indexReader, Query query, String classFieldName, Map<String,Analyzer> field2analyzer, String... textFieldNames)
Creates a new NaiveBayes classifier.- Parameters:
indexReader- the reader on the index to be used for classificationquery- aQueryto eventually filter the docs used for training the classifier, ornullif all the indexed docs should be usedclassFieldName- the name of the field used as the output for the classifier NOTE: must not be heavely analyzed as the returned class will be a token indexed for this fieldtextFieldNames- the name of the fields used as the inputs for the classifier, they can contain boosting indication e.g. title^10
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Method Detail
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assignClass
public ClassificationResult<BytesRef> assignClass(Document document) throws IOException
Description copied from interface:DocumentClassifierAssign a class (with score) to the givenDocument- Specified by:
assignClassin interfaceDocumentClassifier<BytesRef>- Parameters:
document- aDocumentto be classified. Fields are considered features for the classification.- Returns:
- a
ClassificationResultholding assigned class of typeTand score - Throws:
IOException- If there is a low-level I/O error.
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getClasses
public List<ClassificationResult<BytesRef>> getClasses(Document document) throws IOException
Description copied from interface:DocumentClassifierGet all the classes (sorted by score, descending) assigned to the givenDocument.- Specified by:
getClassesin interfaceDocumentClassifier<BytesRef>- Parameters:
document- aDocumentto be classified. Fields are considered features for the classification.- Returns:
- the whole list of
ClassificationResult, the classes and scores. Returnsnullif the classifier can't make lists. - Throws:
IOException- If there is a low-level I/O error.
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getClasses
public List<ClassificationResult<BytesRef>> getClasses(Document document, int max) throws IOException
Description copied from interface:DocumentClassifierGet the firstmaxclasses (sorted by score, descending) assigned to the given text String.- Specified by:
getClassesin interfaceDocumentClassifier<BytesRef>- Parameters:
document- aDocumentto be classified. Fields are considered features for the classification.max- the number of return list elements- Returns:
- the whole list of
ClassificationResult, the classes and scores. Cut for "max" number of elements. Returnsnullif the classifier can't make lists. - Throws:
IOException- If there is a low-level I/O error.
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getTokenArray
protected String[] getTokenArray(TokenStream tokenizedText) throws IOException
Returns a token array from theTokenStreamin input- Parameters:
tokenizedText- the tokenized content of a field- Returns:
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Stringarray of the resulting tokens - Throws:
IOException- If tokenization fails because there is a low-level I/O error
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