## Uses of Class
org.apache.ignite.ml.composition.combinators.sequential.TrainersSequentialComposition

- Packages that use TrainersSequentialComposition
  Package | Description
  --- | ---
  org.apache.ignite.ml.composition.combinators.sequential | Contains sequential combinators of trainers and models.
  org.apache.ignite.ml.trainers | Contains model trainers.

- - ### Uses of TrainersSequentialComposition in org.apache.ignite.ml.composition.combinators.sequential

    Methods in org.apache.ignite.ml.composition.combinators.sequential that return TrainersSequentialComposition
    Modifier and Type | Method and Description
    --- | ---
    `static <I,O,L> TrainersSequentialComposition<I,O,O,L>` | TrainersSequentialComposition.`ofSame(DatasetTrainer<? extends IgniteModel<I,O>,L> tr, IgniteBiFunction<Integer,? super IgniteModel<I,O>,IgniteFunction<LabeledVector<L>,LabeledVector<L>>> datasetMapping, IgniteBiPredicate<Integer,IgniteModel<I,O>> shouldStop, IgniteFunction<O,I> out2In)` Construct sequential composition of same trainers.

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

    Methods in org.apache.ignite.ml.trainers that return TrainersSequentialComposition
    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