org.nd4j.linalg.dataset.api.iterator

Class StandardScaler

java.lang.Object

org.nd4j.linalg.dataset.api.iterator.StandardScaler

public class StandardScaler
extends Object

Standard scaler calculates a moving column wise variance and mean http://www.johndcook.com/blog/standard_deviation/

Constructor Summary

Constructors

Constructor and Description
StandardScaler()

Method Summary

Modifier and Type	Method and Description
void	fit(DataSet dataSet)
void	fit(DataSetIterator iterator) Fit the given model
INDArray	getMean()
INDArray	getStd()
void	load(File mean, File std) Load the given mean and std
void	save(File mean, File std) Save the current mean and std
void	transform(DataSet dataSet) Transform the data

Methods inherited from class java.lang.Object

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

Constructor Detail

StandardScaler

public StandardScaler()

Method Detail

fit

public void fit(DataSet dataSet)

fit

public void fit(DataSetIterator iterator)

Fit the given model

Parameters:

iterator - the data to iterate oer

load

public void load(File mean,
                 File std)
          throws IOException

Load the given mean and std

Parameters:

mean - the mean file

std - the std file

Throws:

IOException

save

public void save(File mean,
                 File std)
          throws IOException

Save the current mean and std

Parameters:

mean - the mean

std - the std

Throws:

IOException

transform

public void transform(DataSet dataSet)

Transform the data

Parameters:

dataSet - the dataset to transform

getMean

public INDArray getMean()

getStd

public INDArray getStd()