## Uses of Class
org.apache.ignite.ml.trainers.AdaptableDatasetTrainer

- Packages that use AdaptableDatasetTrainer
  Package | Description
  --- | ---
  org.apache.ignite.ml.trainers | Contains model trainers.

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

    Methods in org.apache.ignite.ml.trainers that return AdaptableDatasetTrainer
    Modifier and Type | Method and Description
    --- | ---
    `AdaptableDatasetTrainer<I,O,IW,OW,M,L>` | AdaptableDatasetTrainer.`afterFeatureExtractor(IgniteFunction<Vector,Vector> after)` Specify function which will be applied after feature extractor.
    `AdaptableDatasetTrainer<I,O,IW,OW,M,L>` | AdaptableDatasetTrainer.`afterLabelExtractor(IgniteFunction<L,L> after)` Specify function which will be applied after label extractor.
    `<O1> AdaptableDatasetTrainer<I,O1,IW,OW,M,L>` | AdaptableDatasetTrainer.`afterTrainedModel(IgniteFunction<O,O1> after)` Let this trainer produce model `mdl`.
    `<I1> AdaptableDatasetTrainer<I1,O,IW,OW,M,L>` | AdaptableDatasetTrainer.`beforeTrainedModel(IgniteFunction<I1,I> before)` Let this trainer produce model `mdl`.
    `static <I,O,M extends IgniteModel<I,O>,L> AdaptableDatasetTrainer<I,O,I,O,M,L>` | AdaptableDatasetTrainer.`of(DatasetTrainer<M,L> wrapped)` Construct instance of this class from a given `DatasetTrainer`.
    `AdaptableDatasetTrainer<I,O,IW,OW,M,L>` | AdaptableDatasetTrainer.`withDatasetMapping(DatasetMapping<L,L> mapping)` Specify `DatasetMapping` which will be applied to dataset before fitting and updating.
    `AdaptableDatasetTrainer<I,O,IW,OW,M,L>` | AdaptableDatasetTrainer.`withUpstreamTransformerBuilder(UpstreamTransformerBuilder upstreamTransformerBuilder)` Specify which `UpstreamTransformerBuilder` will be used.

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Release Date | : April 20 2022