Package | Description |
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jsat.classifiers.trees |
Modifier and Type | Method and Description |
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protected ImpurityScore |
ImpurityScore.clone() |
Modifier and Type | Method and Description |
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static double |
ImpurityScore.gain(ImpurityScore wholeData,
double wholeScale,
ImpurityScore... splits)
Computes the gain in score from a splitting of the data set
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static double |
ImpurityScore.gain(ImpurityScore wholeData,
double wholeScale,
ImpurityScore... splits)
Computes the gain in score from a splitting of the data set
|
static double |
ImpurityScore.gain(ImpurityScore wholeData,
ImpurityScore... splits)
Computes the gain in score from a splitting of the data set
|
static double |
ImpurityScore.gain(ImpurityScore wholeData,
ImpurityScore... splits)
Computes the gain in score from a splitting of the data set
|
protected double |
DecisionStump.getGain(ImpurityScore origScore,
List<List<DataPointPair<Integer>>> aSplit)
From the score for the original set that is being split, this computes
the gain as the improvement in classification from the original split.
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