Package | Description |
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smile.regression |
Regression analysis.
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Modifier and Type | Method and Description |
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GradientTreeBoost.Trainer |
GradientTreeBoost.Trainer.setLoss(GradientTreeBoost.Loss loss)
Sets the loss function.
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GradientTreeBoost.Trainer |
GradientTreeBoost.Trainer.setMaximumLeafNodes(int J)
Sets the maximum number of leaf nodes in the tree.
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GradientTreeBoost.Trainer |
GradientTreeBoost.Trainer.setNumTrees(int T)
Sets the number of trees in the random forest.
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GradientTreeBoost.Trainer |
GradientTreeBoost.Trainer.setSamplingRates(double f)
Sets the sampling rate for stochastic tree boosting.
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GradientTreeBoost.Trainer |
GradientTreeBoost.Trainer.setShrinkage(double shrinkage)
Sets the shrinkage parameter in (0, 1] controls the learning rate of procedure.
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