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 Static Methods Instance Methods Concrete Methods Modifier and Type Method Description boolean
equals(java.lang.Object obj)
static double[]
eval(int[] context, float[] values, double[] probs, int nOutcomes, int nPredLabels, double[] parameters)
Model evaluation which should be used during training to report model accuracy.double[]
eval(java.lang.String[] context)
Evaluates a context.double[]
eval(java.lang.String[] context, double[] probs)
Evaluates a context.double[]
eval(java.lang.String[] context, float[] values)
Evaluates a contexts with the specified context values.int
getNumOutcomes()
Returns the number of outcomes for this model.-
Methods inherited from class opennlp.tools.ml.model.AbstractModel
getAllOutcomes, getBestOutcome, getDataStructures, getIndex, getModelType, getOutcome
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Constructor Detail
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QNModel
public QNModel(Context[] params, java.lang.String[] predLabels, java.lang.String[] outcomeNames)
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Method Detail
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getNumOutcomes
public int getNumOutcomes()
Description copied from interface:MaxentModel
Returns the number of outcomes for this model.- Specified by:
getNumOutcomes
in interfaceMaxentModel
- Overrides:
getNumOutcomes
in classAbstractModel
- Returns:
- The number of outcomes.
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eval
public double[] eval(java.lang.String[] context)
Description copied from interface:MaxentModel
Evaluates 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(java.lang.String[] context, double[] probs)
Description copied from interface:MaxentModel
Evaluates 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(java.lang.String[] context, float[] values)
Description copied from interface:MaxentModel
Evaluates 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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eval
public static double[] eval(int[] context, float[] values, double[] probs, int nOutcomes, int nPredLabels, double[] parameters)
Model evaluation which should be used during training to report model accuracy.- Parameters:
context
- Indices of the predicates which have been observed at the present decision point.values
- Weights of the predicates which have been observed at the present decision point.probs
- Probability for outcomesnOutcomes
- Number of outcomesnPredLabels
- Number of unique predicatesparameters
- Model parameters- Returns:
- Normalized probabilities for the outcomes given the context.
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equals
public boolean equals(java.lang.Object obj)
- Overrides:
equals
in classjava.lang.Object
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