## Uses of Class
org.apache.ignite.ml.composition.bagging.BaggedTrainer

- Packages that use BaggedTrainer
  Package | Description
  --- | ---
  org.apache.ignite.ml.composition.bagging | Contains bootstrap aggregation (bagging) trainer allowing to combine some other trainers and return a bagged version of them.
  org.apache.ignite.ml.trainers | Contains model trainers.

- - ### Uses of BaggedTrainer in org.apache.ignite.ml.composition.bagging

    Methods in org.apache.ignite.ml.composition.bagging that return BaggedTrainer
    Modifier and Type | Method and Description
    --- | ---
    `BaggedTrainer<L>` | BaggedTrainer.`withEnvironmentBuilder(LearningEnvironmentBuilder envBuilder)` Changes learning Environment.

  - ### Uses of BaggedTrainer in org.apache.ignite.ml.trainers

    Methods in org.apache.ignite.ml.trainers that return BaggedTrainer
    Modifier and Type | Method and Description
    --- | ---
    `static <L> BaggedTrainer<L>` | TrainerTransformers.`makeBagged(DatasetTrainer<? extends IgniteModel,L> trainer, int ensembleSize, double subsampleRatio, PredictionsAggregator aggregator)` Add bagging logic to a given trainer.
    `static <M extends IgniteModel<Vector,Double>,L> BaggedTrainer<L>` | TrainerTransformers.`makeBagged(DatasetTrainer<M,L> trainer, int ensembleSize, double subsampleRatio, int featureVectorSize, int featuresSubspaceDim, PredictionsAggregator aggregator)` Add bagging logic to a given trainer.

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Release Date | : April 25 2023