smile.feature

Class Nominal2SparseBinary

java.lang.Object

smile.feature.Nominal2SparseBinary

public class Nominal2SparseBinary
extends java.lang.Object

Nominal variables to sparse binary representation converter. This is also called one-hot encoding. Here we assume that all variables are nominal attributes and will be converted to binary dummy variables in a compact representation in which only indices of nonzero elements are stored in an integer array. In Maximum Entropy Classifier, the data are expected to store in this format.

Constructor Summary

Constructors

Constructor and Description
Nominal2SparseBinary(smile.data.Attribute[] attributes) Constructor.

Method Summary

Modifier and Type	Method and Description
int[]	f(double[] object) Generates the compact representation of sparse binary features for given object.

Methods inherited from class java.lang.Object

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

Constructor Detail

Nominal2SparseBinary

public Nominal2SparseBinary(smile.data.Attribute[] attributes)

Constructor.

Parameters:

attributes - the variable attributes. All of them have to be nominal attributes.

Method Detail

f

public int[] f(double[] object)

Generates the compact representation of sparse binary features for given object.

Parameters:

object - an object of interest.

Returns:

an integer array of nonzero binary features.