Inheritance diagram for ConjugateGradientData:

Public Member Functions
	ConjugateGradientData ()
	Default constructor. More...

	ConjugateGradientData (ConjugateGradient *)

void	set (ConjugateGradient *)

void	print () const

Public Member Functions inherited from OptimizationAlgorithmData
void	print () const

Public Attributes
ConjugateGradient *	conjugate_gradient_pointer = nullptr

Tensor< type, 1 >	parameters_increment

Tensor< type, 1 >	old_gradient

Tensor< type, 1 >	old_training_direction

Index	epoch = 0

type	learning_rate = type(0)

type	old_learning_rate = type(0)

Tensor< type, 0 >	training_slope

Public Attributes inherited from OptimizationAlgorithmData
Tensor< type, 1 >	potential_parameters

Tensor< type, 1 >	training_direction

type	initial_learning_rate = type(0)

Detailed Description

Definition at line 185 of file conjugate_gradient.h.

Constructor & Destructor Documentation

◆ ConjugateGradientData() [1/2]

ConjugateGradientData ( )

explicit

Default constructor.

Definition at line 1431 of file conjugate_gradient.cpp.

◆ ConjugateGradientData() [2/2]

ConjugateGradientData ( ConjugateGradient * new_conjugate_gradient_pointer )

explicit

Definition at line 1436 of file conjugate_gradient.cpp.

◆ ~ConjugateGradientData()

~ConjugateGradientData ( )

virtual

Definition at line 1442 of file conjugate_gradient.cpp.

Member Function Documentation

◆ print()

void print ( ) const

Definition at line 1469 of file conjugate_gradient.cpp.

◆ set()

void set ( ConjugateGradient * new_conjugate_gradient_pointer )

Definition at line 1448 of file conjugate_gradient.cpp.

Member Data Documentation

◆ conjugate_gradient_pointer

ConjugateGradient* conjugate_gradient_pointer = nullptr

Definition at line 199 of file conjugate_gradient.h.

◆ epoch

Index epoch = 0

Definition at line 207 of file conjugate_gradient.h.

◆ learning_rate

type learning_rate = type(0)

Definition at line 209 of file conjugate_gradient.h.

◆ old_gradient

Tensor<type, 1> old_gradient

Definition at line 203 of file conjugate_gradient.h.

◆ old_learning_rate

type old_learning_rate = type(0)

Definition at line 210 of file conjugate_gradient.h.

◆ old_training_direction

Tensor<type, 1> old_training_direction

Definition at line 205 of file conjugate_gradient.h.

◆ parameters_increment

Tensor<type, 1> parameters_increment

Definition at line 201 of file conjugate_gradient.h.

◆ training_slope

Tensor<type, 0> training_slope

Definition at line 212 of file conjugate_gradient.h.

The documentation for this struct was generated from the following files:

Public Member Functions

Public Attributes