smile.feature

Class RobustStandardizer

java.lang.Object

smile.feature.Standardizer

smile.feature.RobustStandardizer

All Implemented Interfaces:

java.io.Serializable, FeatureTransform

public class RobustStandardizer
extends Standardizer

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

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
RobustStandardizer(smile.data.type.StructType schema, double[] median, double[] iqr) Constructor.

Method Summary

Modifier and Type	Method and Description
static RobustStandardizer	fit(smile.data.DataFrame data) Learns transformation parameters from a dataset.
static RobustStandardizer	fit(double[][] data) Learns transformation parameters from a dataset.
java.lang.String	toString()

Methods inherited from class smile.feature.Standardizer

transform, transform, transform

Methods inherited from class java.lang.Object

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

Methods inherited from interface smile.feature.FeatureTransform

transform

Constructor Detail

RobustStandardizer

public RobustStandardizer(smile.data.type.StructType schema,
                          double[] median,
                          double[] iqr)

Constructor.

Parameters:

schema - the schema of data.

median - median.

iqr - IQR.

Method Detail

fit

public static RobustStandardizer fit(smile.data.DataFrame data)

Learns transformation parameters from a dataset.

Parameters:

data - The training data.

fit

public static RobustStandardizer fit(double[][] data)

Learns transformation parameters from a dataset.

Parameters:

data - The training data.

toString

public java.lang.String toString()

Overrides:

toString in class Standardizer