K
- Type of a key in upstream
data.V
- Type of a value in upstream
data.public class NormalizationTrainer<K,V> extends Object implements PreprocessingTrainer<K,V>
Constructor and Description |
---|
NormalizationTrainer() |
Modifier and Type | Method and Description |
---|---|
NormalizationPreprocessor<K,V> |
fit(LearningEnvironmentBuilder envBuilder,
DatasetBuilder<K,V> datasetBuilder,
Preprocessor<K,V> basePreprocessor)
Fits preprocessor.
|
double |
p()
Gets the degree of L space parameter value.
|
NormalizationTrainer<K,V> |
withP(double p)
Sets the p parameter value.
|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
fit, fit, fit, fit, fit, learningEnvironment
public NormalizationPreprocessor<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.public double p()
public NormalizationTrainer<K,V> withP(double p)
p
- The given value.
GridGain In-Memory Computing Platform : ver. 8.9.14 Release Date : November 5 2024