Class | Description |
---|---|
Bin |
Used for "binning" the feature values for faster best split calculation.
|
DecisionTreeModel |
:: Experimental ::
Decision tree model for classification or regression.
|
DecisionTreeModel.SaveLoadV1_0$ | |
DummyCategoricalSplit |
Split with no acceptable feature values for categorical features.
|
DummyHighSplit |
Split with maximum threshold for continuous features.
|
DummyLowSplit |
Split with minimum threshold for continuous features.
|
GradientBoostedTreesModel |
:: Experimental ::
Represents a gradient boosted trees model.
|
InformationGainStats |
:: DeveloperApi ::
Information gain statistics for each split
|
Node |
:: DeveloperApi ::
Node in a decision tree.
|
Predict |
Predicted value for a node
|
RandomForestModel |
:: Experimental ::
Represents a random forest model.
|
Split |
:: DeveloperApi ::
Split applied to a feature
|
TreeEnsembleModel |
Represents a tree ensemble model.
|
TreeEnsembleModel.SaveLoadV1_0$ |