Package opennlp.tools.ml.perceptron
Class PerceptronModel
java.lang.Object
opennlp.tools.ml.model.AbstractModel
opennlp.tools.ml.perceptron.PerceptronModel
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MaxentModel
A
model implementation based one the perceptron algorithm.
Each outcome is represented as a binary perceptron classifier. This supports standard (integer) weighting as well average weighting as described in: Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with the Perceptron Algorithm. Michael Collins, EMNLP 2002.
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Nested Class Summary
Nested classes/interfaces inherited from class opennlp.tools.ml.model.AbstractModel
AbstractModel.ModelType -
Constructor Summary
ConstructorsConstructorDescriptionPerceptronModel(Context[] params, String[] predLabels, String[] outcomeNames) Initializes aPerceptronModel. -
Method Summary
Modifier and TypeMethodDescriptionbooleanstatic double[]eval(int[] context, double[] prior, EvalParameters model) Evaluates aPerceptronModel.double[]Evaluates acontext.double[]Evaluates acontext.double[]Evaluates acontextwith the specified contextvalues.double[]inthashCode()Methods inherited from class opennlp.tools.ml.model.AbstractModel
getAllOutcomes, getBestOutcome, getDataStructures, getIndex, getModelType, getNumOutcomes, getOutcome
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Constructor Details
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PerceptronModel
Initializes aPerceptronModel.- Parameters:
params- Theparametersto set.predLabels- The predicted labels.outcomeNames- The names of the outcomes.
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Method Details
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eval
Evaluates acontext.- Parameters:
context- An array 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
Evaluates acontextwith the specified contextvalues.- Parameters:
context- An array 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
Evaluates acontext.- Parameters:
context- An array 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
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eval
Evaluates aPerceptronModel.- Parameters:
context- The context parameters asint[].prior- The data prior to the evaluation asdouble[].model- TheEvalParametersused for evaluation.- Returns:
- The resulting evaluation data as
double[].
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hashCode
public int hashCode()- Overrides:
hashCodein classAbstractModel
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equals
- Overrides:
equalsin classAbstractModel
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