OpenANN::Normalization Class Reference

Normalize data so that for each feature the mean is 0 and the standard deviation is 1. More...

#include <Normalization.h>

Inheritance diagram for OpenANN::Normalization:

Public Member Functions
	Normalization ()
virtual Transformer &	fit (const Eigen::MatrixXd &X)
	Fit transformation according to training set X. More...
virtual Eigen::MatrixXd	transform (const Eigen::MatrixXd &X)
	Transform the data. More...
Eigen::VectorXd	getMean ()
	Get the mean of the original data. More...
Eigen::VectorXd	getStd ()
	Get the standard deviations of the original data. More...
Public Member Functions inherited from OpenANN::Transformer
virtual	~Transformer ()
virtual Transformer &	fitPartial (const Eigen::MatrixXd &X)
	Fit transformation according to subset of the training set X. More...

Detailed Description

Normalize data so that for each feature the mean is 0 and the standard deviation is 1.

Constructor & Destructor Documentation

OpenANN::Normalization::Normalization

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Member Function Documentation

virtual Transformer& OpenANN::Normalization::fit ( const Eigen::MatrixXd &  X)

virtual

Fit transformation according to training set X.

Parameters

X	each row represents an instance

Returns

this for chaining

Implements OpenANN::Transformer.

Eigen::VectorXd OpenANN::Normalization::getMean

(

)

Get the mean of the original data.

Returns

mean

Eigen::VectorXd OpenANN::Normalization::getStd

(

)

Get the standard deviations of the original data.

Returns

standard deviations

virtual Eigen::MatrixXd OpenANN::Normalization::transform ( const Eigen::MatrixXd &  X)

virtual

Transform the data.

Parameters

X	each row represents an instance

Returns

transformed data

Implements OpenANN::Transformer.

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The documentation for this class was generated from the following file:

• OpenANN/Normalization.h