public class PerceptronModel extends AbstractModel
AbstractModel.ModelType| Constructor and Description |
|---|
PerceptronModel(Context[] params,
java.lang.String[] predLabels,
IndexHashTable<java.lang.String> pmap,
java.lang.String[] outcomeNames) |
PerceptronModel(Context[] params,
java.lang.String[] predLabels,
java.util.Map<java.lang.String,java.lang.Integer> pmap,
java.lang.String[] outcomeNames)
Deprecated.
use the constructor with the
IndexHashTable instead! |
PerceptronModel(Context[] params,
java.lang.String[] predLabels,
java.lang.String[] outcomeNames) |
| Modifier and Type | Method and Description |
|---|---|
static double[] |
eval(int[] context,
double[] prior,
EvalParameters model) |
static double[] |
eval(int[] context,
float[] values,
double[] prior,
EvalParameters model,
boolean normalize) |
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) |
static void |
main(java.lang.String[] args) |
getAllOutcomes, getBestOutcome, getDataStructures, getIndex, getModelType, getNumOutcomes, getOutcomepublic PerceptronModel(Context[] params, java.lang.String[] predLabels, IndexHashTable<java.lang.String> pmap, java.lang.String[] outcomeNames)
@Deprecated public PerceptronModel(Context[] params, java.lang.String[] predLabels, java.util.Map<java.lang.String,java.lang.Integer> pmap, java.lang.String[] outcomeNames)
IndexHashTable instead!public PerceptronModel(Context[] params, java.lang.String[] predLabels, java.lang.String[] outcomeNames)
public double[] eval(java.lang.String[] context)
MaxentModelcontext - A list of String names of the contextual predicates
which are to be evaluated together.public double[] eval(java.lang.String[] context,
float[] values)
MaxentModelcontext - 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)
MaxentModelcontext - 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)
public static double[] eval(int[] context,
float[] values,
double[] prior,
EvalParameters model,
boolean normalize)
public static void main(java.lang.String[] args)
throws java.io.IOException
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