Class QNModel
- java.lang.Object
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- opennlp.tools.ml.model.AbstractModel
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- opennlp.tools.ml.maxent.quasinewton.QNModel
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- All Implemented Interfaces:
MaxentModel
public class QNModel extends AbstractModel
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Nested Class Summary
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Nested classes/interfaces inherited from class opennlp.tools.ml.model.AbstractModel
AbstractModel.ModelType
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description double[]eval(String[] context)Evaluates a context.double[]eval(String[] context, double[] probs)Evaluates a context.double[]eval(String[] context, float[] values)Evaluates a contexts with the specified context values.intgetNumOutcomes()Returns 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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Method Detail
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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
public double[] eval(String[] context)
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
public double[] eval(String[] context, double[] probs)
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
public double[] eval(String[] context, float[] values)
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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