Package smile.feature.transform

Class RobustStandardizer

java.lang.Object

smile.feature.transform.RobustStandardizer

public class RobustStandardizer
extends Object

Robustly standardizes numeric feature by subtracting the median and dividing by the IQR.

Constructor Summary

Constructors

Constructor	Description
RobustStandardizer()

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

RobustStandardizer

public RobustStandardizer()

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.