OpenNN
Open-source neural networks library
Loading...
Searching...
No Matches
opennn::Descriptives Struct Reference

#include <statistics.h>

Public Member Functions

 Descriptives (const float=NAN, float=NAN, float=NAN, float=NAN)
 
VectorR to_tensor () const
 
void set (const float=NAN, float=NAN, float=NAN, float=NAN)
 
void save (const filesystem::path &) const
 
void print (const string &="Descriptives:") const
 

Public Attributes

string name = "Descriptives"
 
float minimum = -1.0f
 
float maximum = 1.0f
 
float mean = 0.0f
 
float standard_deviation = 1.0f
 

Constructor & Destructor Documentation

◆ Descriptives()

opennn::Descriptives::Descriptives ( const float = NAN,
float = NAN,
float = NAN,
float = NAN )

Member Function Documentation

◆ print()

void opennn::Descriptives::print ( const string & = "Descriptives:") const

◆ save()

void opennn::Descriptives::save ( const filesystem::path & ) const

◆ set()

void opennn::Descriptives::set ( const float = NAN,
float = NAN,
float = NAN,
float = NAN )

◆ to_tensor()

VectorR opennn::Descriptives::to_tensor ( ) const

Member Data Documentation

◆ maximum

float opennn::Descriptives::maximum = 1.0f

◆ mean

float opennn::Descriptives::mean = 0.0f

◆ minimum

float opennn::Descriptives::minimum = -1.0f

◆ name

string opennn::Descriptives::name = "Descriptives"

◆ standard_deviation

float opennn::Descriptives::standard_deviation = 1.0f