Package opennlp.tools.ml.model
Interface SequenceClassificationModel<T>
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- Type Parameters:
T- The type of the object which is the source.
- All Known Implementing Classes:
BeamSearch
public interface SequenceClassificationModel<T>A classification model that can label an inputSequence.
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Method Summary
All Methods Instance Methods Abstract Methods Modifier and Type Method Description SequencebestSequence(T[] sequence, Object[] additionalContext, BeamSearchContextGenerator<T> cg, SequenceValidator<T> validator)Finds theSequencewith the highest probability.Sequence[]bestSequences(int numSequences, T[] sequence, Object[] additionalContext, double minSequenceScore, BeamSearchContextGenerator<T> cg, SequenceValidator<T> validator)Finds the n most probablesequenceswith the highest probability.Sequence[]bestSequences(int numSequences, T[] sequence, Object[] additionalContext, BeamSearchContextGenerator<T> cg, SequenceValidator<T> validator)Finds the n most probablesequenceswith the highest probability.String[]getOutcomes()
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Method Detail
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bestSequence
Sequence bestSequence(T[] sequence, Object[] additionalContext, BeamSearchContextGenerator<T> cg, SequenceValidator<T> validator)
Finds theSequencewith the highest probability.- Parameters:
sequence- Thesequenceused as input.additionalContext- An array that provides additional information (context).cg- TheBeamSearchContextGeneratorto use.validator- TheSequenceValidatorto validate with.- Returns:
- The
Sequencewith the highest probability.
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bestSequences
Sequence[] bestSequences(int numSequences, T[] sequence, Object[] additionalContext, double minSequenceScore, BeamSearchContextGenerator<T> cg, SequenceValidator<T> validator)
Finds the n most probablesequenceswith the highest probability.- Parameters:
numSequences- The number of sequences to compute.sequence- Thesequenceused as input.additionalContext- An array that provides additional information (context).minSequenceScore- The minimum score to achieve.cg- TheBeamSearchContextGeneratorto use.validator- TheSequenceValidatorto validate with.- Returns:
- The
sequenceswith the highest probability.
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bestSequences
Sequence[] bestSequences(int numSequences, T[] sequence, Object[] additionalContext, BeamSearchContextGenerator<T> cg, SequenceValidator<T> validator)
Finds the n most probablesequenceswith the highest probability.- Parameters:
numSequences- The number of sequences to compute.sequence- Thesequenceused as input.additionalContext- An array that provides additional information (context).cg- TheBeamSearchContextGeneratorto use.validator- TheSequenceValidatorto validate with.- Returns:
- The
sequenceswith the highest probability.
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getOutcomes
String[] getOutcomes()
- Returns:
- Retrieves all possible outcomes.
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