Package weka.classifiers.trees.ht
Class SplitMetric
- java.lang.Object
-
- weka.classifiers.trees.ht.SplitMetric
-
- All Implemented Interfaces:
java.io.Serializable
- Direct Known Subclasses:
GiniSplitMetric,InfoGainSplitMetric
public abstract class SplitMetric extends java.lang.Object implements java.io.SerializableBase class for split metrics- Version:
- $Revision: 9720 $
- Author:
- Richard Kirkby (rkirkby@cs.waikato.ac.nz), Mark Hall (mhall{[at]}pentaho{[dot]}com)
- See Also:
- Serialized Form
-
-
Constructor Summary
Constructors Constructor Description SplitMetric()
-
Method Summary
All Methods Static Methods Instance Methods Abstract Methods Concrete Methods Modifier and Type Method Description abstract doubleevaluateSplit(java.util.Map<java.lang.String,WeightMass> preDist, java.util.List<java.util.Map<java.lang.String,WeightMass>> postDist)Evaluate the merit of a splitabstract doublegetMetricRange(java.util.Map<java.lang.String,WeightMass> preDist)Get the range of the splitting metricstatic doublesum(java.util.Map<java.lang.String,WeightMass> dist)Utility method to return the sum of instance weight in a distribution
-
-
-
Method Detail
-
sum
public static double sum(java.util.Map<java.lang.String,WeightMass> dist)
Utility method to return the sum of instance weight in a distribution- Parameters:
dist- the distribution- Returns:
- the sum of the weights contained in a distribution
-
evaluateSplit
public abstract double evaluateSplit(java.util.Map<java.lang.String,WeightMass> preDist, java.util.List<java.util.Map<java.lang.String,WeightMass>> postDist)
Evaluate the merit of a split- Parameters:
preDist- the class distribution before the splitpostDist- the class distributions after the split- Returns:
- the merit of the split
-
getMetricRange
public abstract double getMetricRange(java.util.Map<java.lang.String,WeightMass> preDist)
Get the range of the splitting metric- Parameters:
preDist- the pre-split class distribution- Returns:
- the range of the splitting metric
-
-