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## weka.classifiers.trees.j48
Class EntropyBasedSplitCrit

    java.lang.Object
      weka.classifiers.trees.j48.SplitCriterion
          weka.classifiers.trees.j48.EntropyBasedSplitCrit

All Implemented Interfaces:
  java.io.Serializable

Direct Known Subclasses:
  EntropySplitCrit, GainRatioSplitCrit, InfoGainSplitCrit

    public abstract class EntropyBasedSplitCrit

extends SplitCriterion

"Abstract" class for computing splitting criteria based on the entropy of a class distribution.

Version:
  $Revision: 1.5 $
Author:
  Eibe Frank (eibe@cs.waikato.ac.nz)
See Also:
  Serialized Form

Constructor Summary
`EntropyBasedSplitCrit()`

Method Summary
`double` | `logFunc(double num)` Help method for computing entropy.
`double` | `newEnt(Distribution bags)` Computes entropy of distribution after splitting.
`double` | `oldEnt(Distribution bags)` Computes entropy of distribution before splitting.
`double` | `splitEnt(Distribution bags)` Computes entropy after splitting without considering the class values.

Methods inherited from class weka.classifiers.trees.j48.SplitCriterion
`splitCritValue, splitCritValue, splitCritValue, splitCritValue`

Methods inherited from class java.lang.Object
`equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

Constructor Detail

### EntropyBasedSplitCrit

    public EntropyBasedSplitCrit()

Method Detail

### logFunc

    public final double logFunc(double num)

  Help method for computing entropy.

### oldEnt

    public final double oldEnt(Distribution bags)

  Computes entropy of distribution before splitting.

### newEnt

    public final double newEnt(Distribution bags)

  Computes entropy of distribution after splitting.

### splitEnt

    public final double splitEnt(Distribution bags)

  Computes entropy after splitting without considering the class values.

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