## Uses of Class
org.apache.ignite.ml.tree.DecisionTreeModel

- Packages that use DecisionTreeModel
  Package | Description
  --- | ---
  org.apache.ignite.ml.tree | Root package for decision trees.

- - ### Uses of DecisionTreeModel in org.apache.ignite.ml.tree

    Methods in org.apache.ignite.ml.tree that return DecisionTreeModel
    Modifier and Type | Method and Description
    --- | ---
    `static DecisionTreeModel` | NodeData.`buildDecisionTreeModel(Map<Integer,NodeData> nodes)` Builds the DT model by the given sorted map of nodes.
    `<K,V> DecisionTreeModel` | DecisionTreeTrainer.`fit(Dataset<EmptyContext,DecisionTreeData> dataset)`
    `<K,V> DecisionTreeModel` | DecisionTreeTrainer.`fitWithInitializedDeployingContext(DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> preprocessor)` Trains model based on the specified data.
    `static DecisionTreeModel` | DecisionTreeModel.`fromJSON(Path path)` Loads DecisionTreeModel from JSON file.
    `protected <K,V> DecisionTreeModel` | DecisionTreeTrainer.`updateModel(DecisionTreeModel mdl, DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> preprocessor)` Trains new model based on dataset because there is no valid approach to update decision trees.

    Methods in org.apache.ignite.ml.tree with parameters of type DecisionTreeModel
    Modifier and Type | Method and Description
    --- | ---
    `boolean` | DecisionTreeTrainer.`isUpdateable(DecisionTreeModel mdl)`
    `protected <K,V> DecisionTreeModel` | DecisionTreeTrainer.`updateModel(DecisionTreeModel mdl, DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> preprocessor)` Trains new model based on dataset because there is no valid approach to update decision trees.

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Release Date | : April 25 2023