org.neuroph.util.data.norm

Class DecimalScaleNormalizer

java.lang.Object

org.neuroph.util.data.norm.DecimalScaleNormalizer

All Implemented Interfaces:

Serializable, Normalizer

public class DecimalScaleNormalizer
extends Object
implements Normalizer, Serializable

Decimal scaling normalization method, which normalize data by moving decimal point in regard to max element in training set (by columns) Normalization is done according to formula: normalizedVector[i] = vector[i] / scaleFactor[i]

Author:

Zoran Sevarac

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
DecimalScaleNormalizer(DataSet dataSet) Initializes normalizer, finds right scale factor for each input and output column in vectors.

Method Summary

Modifier and Type	Method and Description
double[]	getMaxIn()
double[]	getMaxOut()
double[]	getScaleFactorIn()
double[]	getScaleFactorOut()
void	normalize(DataSet dataSet) Normalize specified data set

Methods inherited from class java.lang.Object

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

Constructor Detail

DecimalScaleNormalizer

public DecimalScaleNormalizer(DataSet dataSet)

Initializes normalizer, finds right scale factor for each input and output column in vectors.

Parameters:

dataSet -

Method Detail

normalize

public void normalize(DataSet dataSet)

Description copied from interface: Normalizer

Normalize specified data set

Specified by:

normalize in interface Normalizer

Parameters:

dataSet - data set to normalize

getMaxIn

public double[] getMaxIn()

getMaxOut

public double[] getMaxOut()

getScaleFactorIn

public double[] getScaleFactorIn()

getScaleFactorOut

public double[] getScaleFactorOut()