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

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

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

    Methods in org.apache.ignite.ml.trainers that return AdaptableDatasetModel
    Modifier and Type | Method and Description
    --- | ---
    `<I1> AdaptableDatasetModel<I1,O,IW,OW,M>` | AdaptableDatasetModel.`andBefore(IgniteFunction<I1,I> before)` Create new `AdaptableDatasetModel` which is a composition of the form `thisMdl . before`.
    `<O1> AdaptableDatasetModel<I,O1,IW,OW,M>` | AdaptableDatasetModel.`andThen(IgniteModel<O,O1> after)` Get a composition model of the form `x -> after(mdl(x))`.
    `<K,V> AdaptableDatasetModel<I,O,IW,OW,M>` | AdaptableDatasetTrainer.`fitWithInitializedDeployingContext(DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> extractor)` Trains model based on the specified data.
    `protected <K,V> AdaptableDatasetModel<I,O,IW,OW,M>` | AdaptableDatasetTrainer.`updateModel(AdaptableDatasetModel<I,O,IW,OW,M> mdl, DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> extractor)` Gets state of model in arguments, update in according to new data and return new model.
    `<M1 extends IgniteModel<IW,OW>> AdaptableDatasetModel<I,O,IW,OW,M1>` | AdaptableDatasetModel.`withInnerModel(M1 mdl)` Create new instance of this class with changed inner model.

    Methods in org.apache.ignite.ml.trainers with parameters of type AdaptableDatasetModel
    Modifier and Type | Method and Description
    --- | ---
    `boolean` | AdaptableDatasetTrainer.`isUpdateable(AdaptableDatasetModel<I,O,IW,OW,M> mdl)`
    `protected <K,V> AdaptableDatasetModel<I,O,IW,OW,M>` | AdaptableDatasetTrainer.`updateModel(AdaptableDatasetModel<I,O,IW,OW,M> mdl, DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> extractor)` Gets state of model in arguments, update in according to new data and return new model.

    Method parameters in org.apache.ignite.ml.trainers with type arguments of type AdaptableDatasetModel
    Modifier and Type | Method and Description
    --- | ---
    `<O1,M1 extends IgniteModel<O,O1>> TrainersSequentialComposition<I,O,O1,L>` | AdaptableDatasetTrainer.`andThen(DatasetTrainer<M1,L> tr, IgniteFunction<AdaptableDatasetModel<I,O,IW,OW,M>,IgniteFunction<LabeledVector<L>,LabeledVector<L>>> datasetMappingProducer)` Create a `TrainersSequentialComposition` of this trainer and specified trainer.

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Release Date | : April 25 2023