public class QNModel extends AbstractModel
AbstractModel.ModelType| Constructor and Description |
|---|
QNModel(Context[] params,
java.lang.String[] predLabels,
java.lang.String[] outcomeNames) |
| Modifier and Type | Method and Description |
|---|---|
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.
|
equals, getAllOutcomes, getBestOutcome, getDataStructures, getIndex, getModelType, getOutcome, hashCodepublic QNModel(Context[] params, java.lang.String[] predLabels, java.lang.String[] outcomeNames)
public int getNumOutcomes()
MaxentModelgetNumOutcomes in interface MaxentModelgetNumOutcomes in class AbstractModelpublic 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,
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)
MaxentModelcontext - A list of String names of the contextual predicates
which are to be evaluated together.values - The values associated with each context.Copyright © 2010 - 2023 Adobe. All Rights Reserved