K - Type of a key in upstream data.V - Type of a value in upstream data.public class MinMaxScalerTrainer<K,V> extends Object implements PreprocessingTrainer<K,V>
| Constructor and Description |
|---|
MinMaxScalerTrainer() |
| Modifier and Type | Method and Description |
|---|---|
MinMaxScalerPreprocessor<K,V> |
fit(LearningEnvironmentBuilder envBuilder,
DatasetBuilder<K,V> datasetBuilder,
Preprocessor<K,V> basePreprocessor)
Fits preprocessor.
|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitfit, fit, fit, fit, fit, learningEnvironmentpublic MinMaxScalerPreprocessor<K,V> fit(LearningEnvironmentBuilder envBuilder, DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> basePreprocessor)
fit in interface PreprocessingTrainer<K,V>envBuilder - Learning environment builder.datasetBuilder - Dataset builder.basePreprocessor - Base preprocessor.
GridGain In-Memory Computing Platform : ver. 8.9.26 Release Date : October 16 2025