M
- Type of model.L
- Type of a label (truth or prediction).K
- Type of a key in upstream
data.V
- Type of a value in upstream
data.public class DebugCrossValidation<M extends IgniteModel<Vector,L>,L,K,V> extends AbstractCrossValidation<M,L,K,V>
AbstractCrossValidation.TaskResult
amountOfFolds, envBuilder, environment, filter, isRunningOnPipeline, mapper, metric, paramGrid, pipeline, preprocessor, trainer
Constructor and Description |
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DebugCrossValidation() |
Modifier and Type | Method and Description |
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double[] |
scoreByFolds()
Calculates score by folds.
|
DebugCrossValidation<M,L,K,V> |
withAmountOfParts(int parts) |
DebugCrossValidation<M,L,K,V> |
withUpstreamMap(Map<K,V> upstreamMap) |
isRunningOnPipeline, score, scorePipeline, tuneHyperParamterers, withAmountOfFolds, withEnvironmentBuilder, withFilter, withMapper, withMetric, withParamGrid, withPipeline, withPreprocessor, withTrainer
public double[] scoreByFolds()
scoreByFolds
in class AbstractCrossValidation<M extends IgniteModel<Vector,L>,L,K,V>
public DebugCrossValidation<M,L,K,V> withUpstreamMap(Map<K,V> upstreamMap)
upstreamMap
- Upstream map.public DebugCrossValidation<M,L,K,V> withAmountOfParts(int parts)
parts
- Parts.
GridGain In-Memory Computing Platform : ver. 8.9.14 Release Date : November 5 2024