Package | Description |
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org.apache.ignite.ml.tree.randomforest |
Contains random forest implementation classes.
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Modifier and Type | Method and Description |
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protected RandomForestModel |
RandomForestRegressionTrainer.buildComposition(List<RandomForestTreeModel> models)
Returns composition of built trees.
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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.
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static RandomForestModel |
RandomForestModel.fromJSON(Path path)
Loads RandomForestModel from JSON file.
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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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Modifier and Type | Method and Description |
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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