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.TaskResultamountOfFolds, envBuilder, environment, filter, isRunningOnPipeline, mapper, metric, paramGrid, pipeline, preprocessor, trainer| Constructor and Description |
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DebugCrossValidation() |
| Modifier and Type | Method and Description |
|---|---|
double[] |
scoreByFolds()
Calculates score by folds.
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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, withTrainerpublic 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. 8.9.26 Release Date : October 16 2025