Class KNearestNeighborClassifier

A k-Nearest Neighbor classifier (see

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

) based on MoreLikeThis

This is a Lucene.NET EXPERIMENTAL API, use at your own risk

Inheritance

System.Object

KNearestNeighborClassifier

Implements

IClassifier<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 MinDocFreq
System.Int32	minTermFreq	the minimum number of term frequency for MLT to be set with 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<BytesRef>	a ClassificationResult<T> holding assigned class of type 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
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
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
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
Analyzer	analyzer	the analyzer used to tokenize / filter the unseen text
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
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
Analyzer	analyzer	the analyzer used to tokenize / filter the unseen text
Query	query	the query to filter which documents use for training

Implements

IClassifier<T>