Package | Description |
---|---|
org.apache.ignite.ml.trainers |
Contains model trainers.
|
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.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. |
GridGain In-Memory Computing Platform : ver. 8.9.14 Release Date : November 5 2024