Package | Description |
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org.apache.ignite.ml.selection.cv |
Root package for cross-validation algorithms.
|
org.apache.ignite.ml.selection.scoring.cursor |
Util classes used for score calculation.
|
Modifier and Type | Method and Description |
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protected double[] |
AbstractCrossValidation.score(Function<IgniteBiPredicate<K,V>,DatasetBuilder<K,V>> datasetBuilderSupplier,
BiFunction<IgniteBiPredicate<K,V>,M,LabelPairCursor<L>> testDataIterSupplier)
Computes cross-validated metrics.
|
protected double[] |
AbstractCrossValidation.scorePipeline(Function<IgniteBiPredicate<K,V>,DatasetBuilder<K,V>> datasetBuilderSupplier,
BiFunction<IgniteBiPredicate<K,V>,M,LabelPairCursor<L>> testDataIterSupplier)
Computes cross-validated metrics.
|
Modifier and Type | Class and Description |
---|---|
class |
CacheBasedLabelPairCursor<L,K,V>
Truth with prediction cursor based on a data stored in Ignite cache.
|
class |
LocalLabelPairCursor<L,K,V,T>
Truth with prediction cursor based on a locally stored data.
|
GridGain In-Memory Computing Platform : ver. 8.9.4 Release Date : April 16 2024