org.apache.ignite.ml.preprocessing.normalization

Class NormalizationTrainer<K,V>

java.lang.Object

org.apache.ignite.ml.preprocessing.normalization.NormalizationTrainer<K,V>

Type Parameters:

K - Type of a key in upstream data.

V - Type of a value in upstream data.

All Implemented Interfaces:

PreprocessingTrainer<K,V,Vector,Vector>

public class NormalizationTrainer<K,V>
extends Object
implements PreprocessingTrainer<K,V,Vector,Vector>

Trainer of the Normalization preprocessor.

Constructor Summary

Constructors

Constructor and Description
NormalizationTrainer()

Method Summary

Modifier and Type	Method and Description
NormalizationPreprocessor<K,V>	fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,Vector> basePreprocessor) Fits preprocessor.
double	p() Gets the degree of L space parameter value.
NormalizationTrainer<K,V>	withP(int p) Sets the p parameter value.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface org.apache.ignite.ml.preprocessing.PreprocessingTrainer

fit, fit

Constructor Detail

NormalizationTrainer

public NormalizationTrainer()

Method Detail

fit

public NormalizationPreprocessor<K,V> fit(DatasetBuilder<K,V> datasetBuilder,
                                          IgniteBiFunction<K,V,Vector> basePreprocessor)

Fits preprocessor.

Specified by:

fit in interface PreprocessingTrainer<K,V,Vector,Vector>

Parameters:

datasetBuilder - Dataset builder.

basePreprocessor - Base preprocessor.

Returns:

Preprocessor.

p

public double p()

Gets the degree of L space parameter value.

Returns:

The parameter value.

withP

public NormalizationTrainer<K,V> withP(int p)

Sets the p parameter value. Must be greater than 0.

Parameters:

p - The given value.

Returns:

The Normalization trainer.