| Interface | Description |
|---|---|
| DecisionTreeClassifierParams | |
| DecisionTreeModel |
Abstraction for Decision Tree models.
|
| DecisionTreeParams |
Parameters for Decision Tree-based algorithms.
|
| DecisionTreeRegressorParams | |
| GBTClassifierParams | |
| GBTParams |
Parameters for Gradient-Boosted Tree algorithms.
|
| GBTRegressorParams | |
| HasVarianceImpurity | |
| RandomForestClassifierParams | |
| RandomForestParams |
Parameters for Random Forest algorithms.
|
| RandomForestRegressorParams | |
| Split |
Interface for a "Split," which specifies a test made at a decision tree node
to choose the left or right path.
|
| TreeClassifierParams |
Parameters for Decision Tree-based classification algorithms.
|
| TreeEnsembleClassifierParams |
Parameters for Decision Tree-based ensemble classification algorithms.
|
| TreeEnsembleModel<M extends DecisionTreeModel> |
Abstraction for models which are ensembles of decision trees
|
| TreeEnsembleParams |
Parameters for Decision Tree-based ensemble algorithms.
|
| TreeEnsembleRegressorParams |
Parameters for Decision Tree-based ensemble regression algorithms.
|
| TreeRegressorParams |
Parameters for Decision Tree-based regression algorithms.
|
| Class | Description |
|---|---|
| CategoricalSplit |
Split which tests a categorical feature.
|
| ContinuousSplit |
Split which tests a continuous feature.
|
| DecisionTreeModelReadWrite |
Helper classes for tree model persistence
|
| DecisionTreeModelReadWrite.NodeData |
Info for a
Node |
| DecisionTreeModelReadWrite.NodeData$ | |
| DecisionTreeModelReadWrite.SplitData |
Info for a
Split |
| DecisionTreeModelReadWrite.SplitData$ | |
| EnsembleModelReadWrite | |
| EnsembleModelReadWrite.EnsembleNodeData |
Info for one
Node in a tree ensemble |
| EnsembleModelReadWrite.EnsembleNodeData$ | |
| InternalNode |
Internal Decision Tree node.
|
| LeafNode |
Decision tree leaf node.
|
| Node |
Decision tree node interface.
|