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public interface Prior
This interface allows one to implement a prior distribution for use in maximum entropy model training.
| Method Summary | |
|---|---|
void |
logPrior(double[] dist,
int[] context)
Populates the specified array with the the log of the distribution for the specified context. |
void |
logPrior(double[] dist,
int[] context,
float[] values)
Populates the specified array with the the log of the distribution for the specified context. |
void |
setLabels(String[] outcomeLabels,
String[] contextLabels)
Method to specify the label for the outcomes and contexts. |
| Method Detail |
|---|
void logPrior(double[] dist,
int[] context)
dist - An array to be populated with the log of the prior distribution.context - The indices of the contextual predicates for an event.
void logPrior(double[] dist,
int[] context,
float[] values)
dist - An array to be populated with the log of the prior distribution.context - The indices of the contextual predicates for an event.values - The values associated with the context.
void setLabels(String[] outcomeLabels,
String[] contextLabels)
outcomeLabels - An array of each outcome label.contextLabels - An array of each context label.
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