org.apache.ignite.ml.preprocessing.standardscaling

Class StandardScalerPreprocessor<K,V>

java.lang.Object

org.apache.ignite.ml.preprocessing.standardscaling.StandardScalerPreprocessor<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 StandardScalerPreprocessor<K,V>
extends Object
implements Preprocessor<K,V>, DeployableObject

The preprocessing function that makes standard scaling, transforms features to make mean equal to 0 and variance equal to 1. From mathematical point of view it's the following function which is applied to every element in a dataset: a_i = (a_i - mean_i) / sigma_i for all i, where i is a number of column, mean_i is the mean value this column and sigma_i is the standard deviation in this column.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
StandardScalerPreprocessor(double[] means, double[] sigmas, Preprocessor<K,V> basePreprocessor) Constructs a new instance of standardscaling 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[]	getMeans()
double[]	getSigmas()

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

StandardScalerPreprocessor

public StandardScalerPreprocessor(double[] means,
                                  double[] sigmas,
                                  Preprocessor<K,V> basePreprocessor)

Constructs a new instance of standardscaling preprocessor.

Parameters:

means - Means of each column.

sigmas - Standard deviations in each column.

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.

getMeans

public double[] getMeans()

getSigmas

public double[] getSigmas()

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