org.apache.ignite.ml.preprocessing.normalization

Class NormalizationPreprocessor<K,V>

java.lang.Object

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

Type Parameters:

K - Type of a key in upstream data.

V - Type of a value in upstream data.

All Implemented Interfaces:

Serializable, BiFunction<K,V,LabeledVector>, DeployableObject, IgniteBiFunction<K,V,LabeledVector>, Preprocessor<K,V>

public final class NormalizationPreprocessor<K,V>
extends Object
implements Preprocessor<K,V>, DeployableObject

Preprocessing function that makes normalization. Normalization is the process of scaling individual samples to have unit norm. This process can be useful if you plan to use a quadratic form such as the dot-product or any other kernel to quantify the similarity of any pair of samples.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
NormalizationPreprocessor(int p, Preprocessor<K,V> basePreprocessor) Constructs a new instance of Normalization preprocessor.

Method Summary

Modifier and Type	Method and Description
LabeledVector	apply(K k, V v) Applies this preprocessor.
List<Object>	getDependencies() Returns dependencies of this object that can be object with class defined by client side and unknown for server.
double	p() Gets the degree of L^p space 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.Preprocessor

map

Methods inherited from interface org.apache.ignite.ml.math.functions.IgniteBiFunction

andThen

Methods inherited from interface java.util.function.BiFunction

andThen

Constructor Detail

NormalizationPreprocessor

public NormalizationPreprocessor(int p,
                                 Preprocessor<K,V> basePreprocessor)

Constructs a new instance of Normalization preprocessor.

Parameters:

p - Degree of L^p space value.

basePreprocessor - Base preprocessor.

Method Detail

apply

public LabeledVector apply(K k,
                           V v)

Applies this preprocessor.

Specified by:

apply in interface BiFunction<K,V,LabeledVector>

Parameters:

k - Key.

v - Value.

Returns:

Preprocessed row.

p

public double p()

Gets the degree of L^p space parameter value.

getDependencies

public List<Object> getDependencies()

Returns dependencies of this object that can be object with class defined by client side and unknown for server.

Specified by:

getDependencies in interface DeployableObject