eus.ixa.ixa.pipe.ml

Class StatisticalDocumentClassifier

java.lang.Object

eus.ixa.ixa.pipe.ml.StatisticalDocumentClassifier

public class StatisticalDocumentClassifier
extends Object

Constructor Summary

Constructors

Constructor and Description
StatisticalDocumentClassifier(Properties props)
StatisticalDocumentClassifier(String inputModel, String language)

Method Summary

Modifier and Type	Method and Description
String	classify(String[] document) Classifies the given text, provided in separate tokens.
double[]	classifyProb(String[] document) Classifies the given text, provided in separate tokens.
SortedMap<Double,Set<String>>	classifySortedScoreMap(String[] document) Get a map of the scores sorted in ascending order together with their associated labels.
void	clearFeatureData() Forgets all adaptive data which was collected during previous calls to one of the find methods.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

StatisticalDocumentClassifier

public StatisticalDocumentClassifier(Properties props)

StatisticalDocumentClassifier

public StatisticalDocumentClassifier(String inputModel,
                                     String language)
                              throws IOException

Throws:

IOException

Method Detail

classify

public String classify(String[] document)

Classifies the given text, provided in separate tokens.

Parameters:

document - the tokens of text to classify

Returns:

the best label found

classifyProb

public double[] classifyProb(String[] document)

Classifies the given text, provided in separate tokens.

Parameters:

document - the tokens of text to classify

Returns:

probabilities per label

classifySortedScoreMap

public SortedMap<Double,Set<String>> classifySortedScoreMap(String[] document)

Get a map of the scores sorted in ascending order together with their associated labels. Many labels can have the same score, hence the Set as value.

Parameters:

document - the input text to classify

Returns:

a map with the score as a key. The value is a Set of labels with their score.

clearFeatureData

public final void clearFeatureData()

Forgets all adaptive data which was collected during previous calls to one of the find methods. This method is typically called at the end of a document.