public class PerceptronModel extends AbstractModel
AbstractModel.ModelType
Constructor and Description |
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PerceptronModel(Context[] params,
java.lang.String[] predLabels,
java.lang.String[] outcomeNames) |
Modifier and Type | Method and Description |
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static double[] |
eval(int[] context,
double[] prior,
EvalParameters model) |
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.
|
double[] |
eval(java.lang.String[] context,
float[] values,
double[] outsums) |
equals, getAllOutcomes, getBestOutcome, getDataStructures, getIndex, getModelType, getNumOutcomes, getOutcome, hashCode
public PerceptronModel(Context[] params, java.lang.String[] predLabels, java.lang.String[] outcomeNames)
public double[] eval(java.lang.String[] context)
MaxentModel
context
- A list of String names of the contextual predicates
which are to be evaluated together.public double[] eval(java.lang.String[] context, float[] values)
MaxentModel
context
- A list of String names of the contextual predicates
which are to be evaluated together.values
- The values associated with each context.public double[] eval(java.lang.String[] context, double[] probs)
MaxentModel
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.public double[] eval(java.lang.String[] context, float[] values, double[] outsums)
public static double[] eval(int[] context, double[] prior, EvalParameters model)
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