## Uses of Class
org.apache.ignite.ml.tree.randomforest.RandomForestModel

- Packages that use RandomForestModel
  Package | Description
  --- | ---
  org.apache.ignite.ml.tree.randomforest | Contains random forest implementation classes.

- - ### Uses of RandomForestModel in org.apache.ignite.ml.tree.randomforest

    Methods in org.apache.ignite.ml.tree.randomforest that return RandomForestModel
    Modifier and Type | Method and Description
    --- | ---
    `protected RandomForestModel` | RandomForestRegressionTrainer.`buildComposition(List<RandomForestTreeModel> models)` Returns composition of built trees.
    `protected abstract RandomForestModel` | RandomForestTrainer.`buildComposition(List<RandomForestTreeModel> models)` Returns composition of built trees.
    `protected RandomForestModel` | RandomForestClassifierTrainer.`buildComposition(List<RandomForestTreeModel> models)` Returns composition of built trees.
    `<K,V> RandomForestModel` | RandomForestTrainer.`fitWithInitializedDeployingContext(DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> preprocessor)` Trains model based on the specified data.
    `static RandomForestModel` | RandomForestModel.`fromJSON(Path path)` Loads RandomForestModel from JSON file.
    `protected <K,V> RandomForestModel` | RandomForestTrainer.`updateModel(RandomForestModel mdl, DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> preprocessor)` Gets state of model in arguments, update in according to new data and return new model.

    Methods in org.apache.ignite.ml.tree.randomforest with parameters of type RandomForestModel
    Modifier and Type | Method and Description
    --- | ---
    `boolean` | RandomForestTrainer.`isUpdateable(RandomForestModel mdl)`
    `protected <K,V> RandomForestModel` | RandomForestTrainer.`updateModel(RandomForestModel mdl, DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> preprocessor)` Gets state of model in arguments, update in according to new data and return new model.

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Ignite Database and Caching Platform | : ver. 2.12.0
Release Date | : January 10 2022