scaling.h File Reference

#include "statistics.h"

Go to the source code of this file.

Namespaces
namespace	opennn

Functions
void	opennn::scale_mean_standard_deviation (MatrixMap, Index, const Descriptives &)
	Standardises a column of the matrix in place using its descriptives' mean and standard deviation.
void	opennn::scale_standard_deviation (MatrixMap, Index, const Descriptives &)
	Divides a column of the matrix by its standard deviation in place.
void	opennn::scale_minimum_maximum (MatrixMap, Index, const Descriptives &, float=-1.0f, float=1.0f)
	Rescales a column to the [min_range, max_range] interval using its descriptives.
void	opennn::scale_logarithmic (MatrixMap, Index)
	Applies an element-wise logarithm to the given column.
void	opennn::unscale_minimum_maximum (MatrixMap, Index, const Descriptives &, float=-1.0f, float=1.0f)
	Inverse of scale_minimum_maximum(): reconstructs original values for the given column.
void	opennn::unscale_mean_standard_deviation (MatrixMap, Index, const Descriptives &)
	Inverse of scale_mean_standard_deviation() for the given column.
void	opennn::unscale_standard_deviation (MatrixMap, Index, const Descriptives &)
	Inverse of scale_standard_deviation() for the given column.
void	opennn::unscale_logarithmic (MatrixMap, Index)
	Inverse of scale_logarithmic() for the given column.
void	opennn::unscale_image_minimum_maximum (MatrixMap, Index)
	Maps a column back from [-1, 1] to the [0, 255] image-pixel range.