Class QNModel
java.lang.Object
opennlp.tools.ml.model.AbstractModel
opennlp.tools.ml.maxent.quasinewton.QNModel
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MaxentModel
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Nested Class Summary
Nested classes/interfaces inherited from class opennlp.tools.ml.model.AbstractModel
AbstractModel.ModelType -
Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptiondouble[]Evaluates a context.double[]Evaluates a context.double[]Evaluates a contexts with the specified context values.intReturns the number of outcomes for this model.Methods inherited from class opennlp.tools.ml.model.AbstractModel
equals, getAllOutcomes, getBestOutcome, getDataStructures, getIndex, getModelType, getOutcome, hashCode
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Constructor Details
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QNModel
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Method Details
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getNumOutcomes
public int getNumOutcomes()Description copied from interface:MaxentModelReturns the number of outcomes for this model.- Specified by:
getNumOutcomesin interfaceMaxentModel- Overrides:
getNumOutcomesin classAbstractModel- Returns:
- The number of outcomes.
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eval
Description copied from interface:MaxentModelEvaluates a context.- Parameters:
context- A list of String names of the contextual predicates which are to be evaluated together.- Returns:
- an array of the probabilities for each of the different outcomes, all of which sum to 1.
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eval
Description copied from interface:MaxentModelEvaluates a context.- Parameters:
context- A list of String names of the contextual predicates which are to be evaluated together.probs- An array which is populated with the probabilities for each of the different outcomes, all of which sum to 1.- Returns:
- an array of the probabilities for each of the different outcomes, all of which sum to 1.
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eval
Description copied from interface:MaxentModelEvaluates a contexts with the specified context values.- Parameters:
context- A list of String names of the contextual predicates which are to be evaluated together.values- The values associated with each context.- Returns:
- an array of the probabilities for each of the different outcomes, all of which sum to 1.
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