Inheritance diagram for GradientDescentData:

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

	GradientDescentData (GradientDescent *new_gradient_descent_pointer)

virtual	~GradientDescentData ()
	Destructor. More...

void	set (GradientDescent *new_gradient_descent_pointer)

void	print () const

Public Member Functions inherited from OptimizationAlgorithmData
void	print () const

Public Attributes
GradientDescent *	gradient_descent_pointer = nullptr

Tensor< type, 1 >	parameters_increment

Index	epoch = 0

Tensor< type, 0 >	training_slope

type	learning_rate = type(0)

type	old_learning_rate = type(0)

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 156 of file gradient_descent.h.

Constructor & Destructor Documentation

◆ GradientDescentData() [1/2]

GradientDescentData ( )

inlineexplicit

Default constructor.

Definition at line 160 of file gradient_descent.h.

◆ GradientDescentData() [2/2]

GradientDescentData ( GradientDescent * new_gradient_descent_pointer )

inlineexplicit

Definition at line 165 of file gradient_descent.h.

◆ ~GradientDescentData()

virtual ~GradientDescentData ( )

inlinevirtual

Destructor.

Definition at line 172 of file gradient_descent.h.

Member Function Documentation

◆ print()

void print ( ) const

inline

Definition at line 196 of file gradient_descent.h.

◆ set()

void set ( GradientDescent * new_gradient_descent_pointer )

inline

Definition at line 174 of file gradient_descent.h.

Member Data Documentation

◆ epoch

Index epoch = 0

Definition at line 213 of file gradient_descent.h.

◆ gradient_descent_pointer

GradientDescent* gradient_descent_pointer = nullptr

Definition at line 205 of file gradient_descent.h.

◆ learning_rate

type learning_rate = type(0)

Definition at line 217 of file gradient_descent.h.

◆ old_learning_rate

type old_learning_rate = type(0)

Definition at line 218 of file gradient_descent.h.

◆ parameters_increment

Tensor<type, 1> parameters_increment

Definition at line 209 of file gradient_descent.h.

◆ training_slope

Tensor<type, 0> training_slope

Definition at line 215 of file gradient_descent.h.

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

gradient_descent.h

Public Member Functions

Public Attributes