| Class | Description |
|---|---|
| Bin |
Used for "binning" the feature values for faster best split calculation.
|
| DecisionTreeModel |
:: Experimental ::
Decision tree model for classification or regression.
|
| 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.
|