jsat.datatransform

Class NominalToNumeric

java.lang.Object

jsat.datatransform.NominalToNumeric

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, DataTransform

public class NominalToNumeric
extends java.lang.Object
implements DataTransform

This transform converts nominal feature values to numeric ones be adding a new numeric feature for each possible categorical value for each nominal feature. The numeric features will be all zeros, with only a single numeric feature having a value of "1.0" for each nominal variable.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
NominalToNumeric() Creates a new transform to convert categorical to numeric features
NominalToNumeric(DataSet dataSet) Creates a new transform to convert categorical to numeric features for the given dataset
NominalToNumeric(NominalToNumeric toCopy) Copy constructor

Method Summary

Modifier and Type	Method and Description
NominalToNumeric	clone()
void	fit(DataSet data) Fits this transform to the given dataset.
DataPoint	transform(DataPoint dp) Returns a new data point that is a transformation of the original data point.

Methods inherited from class java.lang.Object

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

Constructor Detail

NominalToNumeric

public NominalToNumeric()

Creates a new transform to convert categorical to numeric features

NominalToNumeric

public NominalToNumeric(DataSet dataSet)

Creates a new transform to convert categorical to numeric features for the given dataset

Parameters:

dataSet - the dataset to fit the transform to

NominalToNumeric

public NominalToNumeric(NominalToNumeric toCopy)

Copy constructor

Parameters:

toCopy - the object to copy

Method Detail

fit

public void fit(DataSet data)

Description copied from interface: DataTransform

Fits this transform to the given dataset. Some transforms can only be learned from classification or regression datasets. If an incompatible dataset type is given, a FailedToFitException exception may be thrown.

Specified by:

fit in interface DataTransform

Parameters:

data - the dataset to fir this transform to

transform

public DataPoint transform(DataPoint dp)

Description copied from interface: DataTransform

Returns a new data point that is a transformation of the original data point. This new data point is a different object, but may contain the same references as the original data point. It is not guaranteed that you can mutate the transformed point without having a side effect on the original point.

Specified by:

transform in interface DataTransform

Parameters:

dp - the data point to apply a transformation to

Returns:

a transformed data point

clone

public NominalToNumeric clone()

Specified by:

clone in interface DataTransform

Overrides:

clone in class java.lang.Object