Uses of Class
org.apache.ignite.ml.composition.stacking.StackedDatasetTrainer

Packages that use StackedDatasetTrainer

Package	Description
org.apache.ignite.ml.composition.stacking	Contains classes used for training with stacking technique.

Uses of StackedDatasetTrainer in org.apache.ignite.ml.composition.stacking

Subclasses of StackedDatasetTrainer in org.apache.ignite.ml.composition.stacking

Modifier and Type	Class and Description
class	SimpleStackedDatasetTrainer<I,O,AM extends IgniteModel<I,O>,L> DatasetTrainer with same type of input and output of submodels.
class	StackedVectorDatasetTrainer<O,AM extends IgniteModel<Vector,O>,L> StackedDatasetTrainer with Vector as submodels input and output.

Methods in org.apache.ignite.ml.composition.stacking that return StackedDatasetTrainer

Modifier and Type	Method and Description
<M1 extends IgniteModel<IS,IA>> StackedDatasetTrainer<IS,IA,O,AM,L>	StackedDatasetTrainer.addTrainer(DatasetTrainer<M1,L> trainer) Adds submodel trainer along with converters needed on training and inference stages.
StackedDatasetTrainer<IS,IA,O,AM,L>	StackedDatasetTrainer.withAggregatorInputMerger(IgniteBinaryOperator<IA> merger) Specify binary operator used to merge submodels outputs to one.
StackedDatasetTrainer<IS,IA,O,AM,L>	StackedDatasetTrainer.withAggregatorTrainer(DatasetTrainer<AM,L> aggregatorTrainer) Specify aggregator trainer.
StackedDatasetTrainer<IS,IA,O,AM,L>	StackedDatasetTrainer.withEnvironmentBuilder(LearningEnvironmentBuilder envBuilder) Changes learning Environment.
StackedDatasetTrainer<IS,IA,O,AM,L>	StackedDatasetTrainer.withOriginalFeaturesDropped() Drop original features during training and inference.
StackedDatasetTrainer<IS,IA,O,AM,L>	StackedDatasetTrainer.withOriginalFeaturesKept(IgniteFunction<IS,IA> submodelInput2AggregatingInputConverter) Keep original features during training and propagate submodels input to aggregator during inference using given function.
StackedDatasetTrainer<IS,IA,O,AM,L>	StackedDatasetTrainer.withSubmodelOutput2VectorConverter(IgniteFunction<IA,Vector> submodelOutput2VectorConverter) Set function used for conversion of submodel output to Vector.
StackedDatasetTrainer<IS,IA,O,AM,L>	StackedDatasetTrainer.withVector2SubmodelInputConverter(IgniteFunction<Vector,IS> vector2SubmodelInputConverter) Set function used for conversion of Vector to submodel input.