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