Package smile.feature.transform

Class MaxAbsScaler

java.lang.Object

smile.feature.transform.MaxAbsScaler

public class MaxAbsScaler
extends Object

Scales each feature by its maximum absolute value. This class scales and translates each feature individually such that the maximal absolute value of each feature in the training set will be 1.0. It does not shift/center the data, and thus does not destroy any sparsity.

Constructor Summary

Constructors

Constructor	Description
MaxAbsScaler()

Method Summary

Modifier and Type	Method	Description
static InvertibleColumnTransform	fit(DataFrame data, String... columns)	Fits the data transformation.

Methods inherited from class java.lang.Object

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

Constructor Details

MaxAbsScaler

public MaxAbsScaler()

Method Details

fit

public static InvertibleColumnTransform fit(DataFrame data,
 String... columns)

Fits the data transformation.

Parameters:

data - the training data.

columns - the columns to transform. If empty, transform all the numeric columns.

Returns:

the transform.