smile.feature

Class Normalizer

java.lang.Object

smile.feature.Normalizer

All Implemented Interfaces:

java.io.Serializable, FeatureTransform

public class Normalizer
extends java.lang.Object
implements FeatureTransform

Normalize samples individually to unit norm. Each sample (i.e. each row of the data matrix) with at least one non zero component is rescaled independently of other samples so that its norm (L1 or L2) equals one.

Scaling inputs to unit norms is a common operation for text classification or clustering for instance.

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	Normalizer.Norm The types of data scaling.

Constructor Summary

Constructors

Constructor and Description
Normalizer() Default constructor with L2 norm.
Normalizer(Normalizer.Norm norm) Constructor.

Method Summary

Modifier and Type	Method and Description
java.lang.String	toString()
smile.data.DataFrame	transform(smile.data.DataFrame data) Transform a data frame.
double[]	transform(double[] x) Transform a feature vector.
smile.data.Tuple	transform(smile.data.Tuple x) Transform a feature vector.

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

Normalizer

public Normalizer()

Default constructor with L2 norm.

Normalizer

public Normalizer(Normalizer.Norm norm)

Constructor.

Parameters:

norm - The norm to use to normalize each non zero sample.

Method Detail

transform

public double[] transform(double[] x)

Description copied from interface: FeatureTransform

Transform a feature vector.

Specified by:

transform in interface FeatureTransform

Parameters:

x - a feature vector.

Returns:

the transformed feature value.

transform

public smile.data.Tuple transform(smile.data.Tuple x)

Description copied from interface: FeatureTransform

Transform a feature vector.

Specified by:

transform in interface FeatureTransform

Parameters:

x - a feature vector.

Returns:

the transformed feature value.

transform

public smile.data.DataFrame transform(smile.data.DataFrame data)

Description copied from interface: FeatureTransform

Transform a data frame.

Specified by:

transform in interface FeatureTransform

Parameters:

data - a data frame.

Returns:

the transformed data frame.

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object