Package | Description |
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org.apache.ignite.ml.tree |
Root package for decision trees.
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org.apache.ignite.ml.tree.impurity.mse |
Contains mean squared error impurity measure and calculator.
|
Modifier and Type | Method and Description |
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protected ImpurityMeasureCalculator<MSEImpurityMeasure> |
DecisionTreeRegressionTrainer.getImpurityMeasureCalculator(Dataset<EmptyContext,DecisionTreeData> dataset)
Returns impurity measure calculator.
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Constructor and Description |
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DecisionTreeRegressionTrainer(int maxDeep,
double minImpurityDecrease,
StepFunctionCompressor<MSEImpurityMeasure> compressor)
Constructs a new decision tree regressor.
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Modifier and Type | Method and Description |
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MSEImpurityMeasure |
MSEImpurityMeasure.add(MSEImpurityMeasure b)
Adds the given impurity to this.
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MSEImpurityMeasure |
MSEImpurityMeasure.subtract(MSEImpurityMeasure b)
Subtracts the given impurity for this.
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Modifier and Type | Method and Description |
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MSEImpurityMeasure |
MSEImpurityMeasure.add(MSEImpurityMeasure b)
Adds the given impurity to this.
|
MSEImpurityMeasure |
MSEImpurityMeasure.subtract(MSEImpurityMeasure b)
Subtracts the given impurity for this.
|
GridGain In-Memory Computing Platform : ver. 8.9.14 Release Date : November 5 2024