Package | Description |
---|---|
org.apache.ignite.ml.composition.bagging |
Contains bootstrap aggregation (bagging) trainer allowing to combine some other trainers and
return a bagged version of them.
|
org.apache.ignite.ml.trainers |
Contains model trainers.
|
Modifier and Type | Method and Description |
---|---|
BaggedTrainer<L> |
BaggedTrainer.withEnvironmentBuilder(LearningEnvironmentBuilder envBuilder)
Changes learning Environment.
|
Modifier and Type | Method and Description |
---|---|
static <L> BaggedTrainer<L> |
TrainerTransformers.makeBagged(DatasetTrainer<? extends IgniteModel,L> trainer,
int ensembleSize,
double subsampleRatio,
PredictionsAggregator aggregator)
Add bagging logic to a given trainer.
|
static <M extends IgniteModel<Vector,Double>,L> |
TrainerTransformers.makeBagged(DatasetTrainer<M,L> trainer,
int ensembleSize,
double subsampleRatio,
int featureVectorSize,
int featuresSubspaceDim,
PredictionsAggregator aggregator)
Add bagging logic to a given trainer.
|
GridGain In-Memory Computing Platform : ver. 8.9.14 Release Date : November 5 2024