LBJ2.learn
Class NaiveBayes.Parameters

java.lang.Object
  LBJ2.learn.Parameters
      LBJ2.learn.NaiveBayes.Parameters

Enclosing class:

NaiveBayes

public static class NaiveBayes.Parameters
extends Parameters

Simply a container for all of NaiveBayes's configurable parameters. Using instances of this class should make code more readable and constructors less complicated.

Field Summary

double

smoothing The exponential of this number is used as the conditional probability of a feature that was never observed during training; default NaiveBayes.defaultSmoothing.

Constructor Summary

NaiveBayes.Parameters()
Sets all the default values.

Method Summary

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

smoothing

public double smoothing

The exponential of this number is used as the conditional probability of a feature that was never observed during training; default NaiveBayes.defaultSmoothing.

Constructor Detail

NaiveBayes.Parameters

public NaiveBayes.Parameters()

Sets all the default values.