Package opennlp.tools.ml.maxent
Class GISModel
java.lang.Object
opennlp.tools.ml.model.AbstractModel
opennlp.tools.ml.maxent.GISModel
- All Implemented Interfaces:
MaxentModel
A maximum entropy model which has been trained using the Generalized
Iterative Scaling (GIS) procedure.
- See Also:
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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 TypeMethodDescriptionbooleanstatic double[]eval(int[] context, double[] prior, EvalParameters model) Evaluates a context and return an array of the likelihood of each outcome given the specified context and the specified parameters.double[]Evaluates a context and return an array of the likelihood of each outcome given that context.double[]Evaluates acontext.double[]Evaluates acontextwith the specified contextvalues.double[]Evaluates a context and return an array of the likelihood of each outcome given that context.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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GISModel
Initializes aGISModelwith the specified parameters, outcome names, and predicate/feature labels.- Parameters:
params- Theparametersof the model.predLabels- The names of the predicates used in this model.outcomeNames- The names of the outcomes this model predicts.
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GISModel
Initializes aGISModelwith the specified parameters, outcome names, and predicate/feature labels.- Parameters:
params- Theparametersof the model.predLabels- The names of the predicates used in this model.outcomeNames- The names of the outcomes this model predicts.prior- ThePriorto be used with this model.
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Method Details
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eval
Evaluates a context and return an array of the likelihood of each outcome given that context.- Parameters:
context- The names of the predicates which have been observed at the present decision point.- Returns:
- The normalized probabilities for the outcomes given the context.
The indexes of the double[] are the outcome ids, and the actual
string representation of the outcomes can be obtained from the
method
AbstractModel.getOutcome(int).
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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.outsums- 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
Evaluates a context and return an array of the likelihood of each outcome given that context.- Parameters:
context- The names of the predicates which have been observed at the present decision point.outsums- This is where the distribution is stored.- Returns:
- The normalized probabilities for the outcomes given the context.
The indexes of the double[] are the outcome ids, and the actual
string representation of the outcomes can be obtained from the
method
AbstractModel.getOutcome(int).
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eval
Evaluates a context and return an array of the likelihood of each outcome given the specified context and the specified parameters.- Parameters:
context- The integer values of the predicates which have been observed at the present decision point.prior- The prior distribution for the specified context.model- The set of parameters used in this computation.- Returns:
- The normalized probabilities for the outcomes given the context.
The indexes of the double[] are the outcome ids, and the actual
string representation of the outcomes can be obtained from the
method
AbstractModel.getOutcome(int).
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hashCode
public int hashCode()- Overrides:
hashCodein classAbstractModel
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equals
- Overrides:
equalsin classAbstractModel
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