Package opennlp.tools.ml.model

Interface SequenceClassificationModel<T>

Type Parameters:

T -

All Known Implementing Classes:

BeamSearch

public interface SequenceClassificationModel<T>

A classification model that can label an input sequence.

Method Summary

Modifier and Type	Method	Description
Sequence	bestSequence(T[] sequence, Object[] additionalContext, BeamSearchContextGenerator<T> cg, SequenceValidator<T> validator)	Finds the sequence with the highest probability.
Sequence[]	bestSequences(int numSequences, T[] sequence, Object[] additionalContext, double minSequenceScore, BeamSearchContextGenerator<T> cg, SequenceValidator<T> validator)	Finds the n most probable sequences.
Sequence[]	bestSequences(int numSequences, T[] sequence, Object[] additionalContext, BeamSearchContextGenerator<T> cg, SequenceValidator<T> validator)	Finds the n most probable sequences.
String[]	getOutcomes()	Returns all possible outcomes.

Method Details

bestSequence

Sequence bestSequence(T[] sequence,
 Object[] additionalContext,
 BeamSearchContextGenerator<T> cg,
 SequenceValidator<T> validator)

Finds the sequence with the highest probability.

Parameters:

sequence -

additionalContext -

cg -

validator -

Returns:

bestSequences

Sequence[] bestSequences(int numSequences,
 T[] sequence,
 Object[] additionalContext,
 double minSequenceScore,
 BeamSearchContextGenerator<T> cg,
 SequenceValidator<T> validator)

Finds the n most probable sequences.

Parameters:

sequence -

additionalContext -

cg -

validator -

Returns:

bestSequences

Sequence[] bestSequences(int numSequences,
 T[] sequence,
 Object[] additionalContext,
 BeamSearchContextGenerator<T> cg,
 SequenceValidator<T> validator)

Finds the n most probable sequences.

Parameters:

sequence -

additionalContext -

cg -

validator -

Returns:

getOutcomes

String[] getOutcomes()

Returns all possible outcomes.

Returns: