Class KNearestNeighborClassifier

A k-Nearest Neighbor classifier (see

http://en.wikipedia.org/wiki/K-nearest_neighbors

) based on Lucene.Net.Queries.Mlt.MoreLikeThis

Note

This API is experimental and might change in incompatible ways in the next release.

Inheritance

System.Object

KNearestNeighborClassifier

Implements

IClassifier<Lucene.Net.Util.BytesRef>

Inherited Members

System.Object.Equals(System.Object)

System.Object.Equals(System.Object, System.Object)

System.Object.GetHashCode()

System.Object.GetType()

System.Object.MemberwiseClone()

System.Object.ReferenceEquals(System.Object, System.Object)

System.Object.ToString()

Namespace: Lucene.Net.Classification

Assembly: Lucene.Net.Classification.dll

Syntax

public class KNearestNeighborClassifier : IClassifier<BytesRef>

Constructors

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KNearestNeighborClassifier(Int32)

Create a IClassifier<T> using kNN algorithm

Declaration

public KNearestNeighborClassifier(int k)

Parameters

Type	Name	Description
System.Int32	k	the number of neighbors to analyze as an System.Int32

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KNearestNeighborClassifier(Int32, Int32, Int32)

Create a IClassifier<T> using kNN algorithm

Declaration

public KNearestNeighborClassifier(int k, int minDocsFreq, int minTermFreq)

Parameters

Type	Name	Description
System.Int32	k	the number of neighbors to analyze as an System.Int32
System.Int32	minDocsFreq	the minimum number of docs frequency for MLT to be set with Lucene.Net.Queries.Mlt.MoreLikeThis.MinDocFreq
System.Int32	minTermFreq	the minimum number of term frequency for MLT to be set with Lucene.Net.Queries.Mlt.MoreLikeThis.MinTermFreq

Methods

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AssignClass(String)

Assign a class (with score) to the given text string

Declaration

public virtual ClassificationResult<BytesRef> AssignClass(string text)

Parameters

Type	Name	Description
System.String	text	a string containing text to be classified

Returns

Type	Description
ClassificationResult<Lucene.Net.Util.BytesRef>	a ClassificationResult<T> holding assigned class of type Lucene.Net.Util.BytesRef and score

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Train(AtomicReader, String, String, Analyzer)

Train the classifier using the underlying Lucene index

Declaration

public virtual void Train(AtomicReader atomicReader, string textFieldName, string classFieldName, Analyzer analyzer)

Parameters

Type	Name	Description
Lucene.Net.Index.AtomicReader	atomicReader	the reader to use to access the Lucene index
System.String	textFieldName	the name of the field used to compare documents
System.String	classFieldName	the name of the field containing the class assigned to documents
Lucene.Net.Analysis.Analyzer	analyzer	the analyzer used to tokenize / filter the unseen text

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Train(AtomicReader, String, String, Analyzer, Query)

Train the classifier using the underlying Lucene index

Declaration

public virtual void Train(AtomicReader atomicReader, string textFieldName, string classFieldName, Analyzer analyzer, Query query)

Parameters

Type	Name	Description
Lucene.Net.Index.AtomicReader	atomicReader	the reader to use to access the Lucene index
System.String	textFieldName	the name of the field used to compare documents
System.String	classFieldName	the name of the field containing the class assigned to documents
Lucene.Net.Analysis.Analyzer	analyzer	the analyzer used to tokenize / filter the unseen text
Lucene.Net.Search.Query	query	the query to filter which documents use for training

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Train(AtomicReader, String[], String, Analyzer, Query)

Train the classifier using the underlying Lucene index

Declaration

public virtual void Train(AtomicReader atomicReader, string[] textFieldNames, string classFieldName, Analyzer analyzer, Query query)

Parameters

Type	Name	Description
Lucene.Net.Index.AtomicReader	atomicReader	the reader to use to access the Lucene index
System.String[]	textFieldNames	the names of the fields to be used to compare documents
System.String	classFieldName	the name of the field containing the class assigned to documents
Lucene.Net.Analysis.Analyzer	analyzer	the analyzer used to tokenize / filter the unseen text
Lucene.Net.Search.Query	query	the query to filter which documents use for training

Implements

IClassifier<T>