hyperparameters_m Module

Uses

- double_precision_string_m
- julienne_string_m
- kind_parameters_m
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Interfaces

public interface hyperparameters_t

private pure module function default_real_from_components(mini_batches, learning_rate, optimizer) result(hyperparameters)

Arguments

Type	Intent	Optional	Attributes		Name
integer,	intent(in)			::	mini_batches
real,	intent(in)			::	learning_rate
character(len=*),	intent(in)			::	optimizer

Return Value type(hyperparameters_t)

private pure module function default_real_from_json(lines) result(hyperparameters)

Arguments

Type	Intent	Optional	Attributes		Name
type(string_t),	intent(in)			::	lines(:)

Return Value type(hyperparameters_t)

private pure module function double_precision_from_components(mini_batches, learning_rate, optimizer) result(hyperparameters)

Arguments

Type	Intent	Optional	Attributes		Name
integer,	intent(in)			::	mini_batches
double precision,	intent(in)			::	learning_rate
character(len=*),	intent(in)			::	optimizer

Return Value type(hyperparameters_t(double_precision))

private pure module function double_precision_from_json(lines) result(hyperparameters)

Arguments

Type	Intent	Optional	Attributes		Name
type(double_precision_string_t),	intent(in)			::	lines(:)

Return Value type(hyperparameters_t(double_precision))

interface

private elemental module function default_real_equals(lhs, rhs) result(lhs_equals_rhs)

Arguments

Type	Intent	Optional	Attributes		Name
class(hyperparameters_t),	intent(in)			::	lhs
class(hyperparameters_t),	intent(in)			::	rhs

Return Value logical

interface

private elemental module function default_real_learning_rate(self) result(rate)

Arguments

Type	Intent	Optional	Attributes		Name
class(hyperparameters_t),	intent(in)			::	self

Return Value real

interface

private elemental module function default_real_mini_batches(self) result(num_mini_batches)

Arguments

Type	Intent	Optional	Attributes		Name
class(hyperparameters_t),	intent(in)			::	self

Return Value integer

interface

private elemental module function default_real_optimizer_name(self) result(identifier)

Arguments

Type	Intent	Optional	Attributes		Name
class(hyperparameters_t),	intent(in)			::	self

Return Value type(string_t)

interface

private pure module function default_real_to_json(self) result(lines)

Arguments

Type	Intent	Optional	Attributes		Name
class(hyperparameters_t),	intent(in)			::	self

Return Value type(string_t), allocatable, (:)

interface

private elemental module function double_precision_equals(lhs, rhs) result(lhs_equals_rhs)

Arguments

Type	Intent	Optional	Attributes		Name
class(hyperparameters_t(double_precision)),	intent(in)			::	lhs
class(hyperparameters_t(double_precision)),	intent(in)			::	rhs

Return Value logical

interface

private elemental module function double_precision_learning_rate(self) result(rate)

Arguments

Type	Intent	Optional	Attributes		Name
class(hyperparameters_t(double_precision)),	intent(in)			::	self

Return Value double precision

interface

private elemental module function double_precision_mini_batches(self) result(num_mini_batches)

Arguments

Type	Intent	Optional	Attributes		Name
class(hyperparameters_t(double_precision)),	intent(in)			::	self

Return Value integer

interface

private elemental module function double_precision_optimizer_name(self) result(identifier)

Arguments

Type	Intent	Optional	Attributes		Name
class(hyperparameters_t(double_precision)),	intent(in)			::	self

Return Value type(string_t)

interface

private pure module function double_precision_to_json(self) result(lines)

Arguments

Type	Intent	Optional	Attributes		Name
class(hyperparameters_t(double_precision)),	intent(in)			::	self

Return Value type(string_t), allocatable, (:)

Derived Types

type, public :: hyperparameters_t

Components

Type	Visibility	Attributes		Name		Initial
integer,	public,	kind	::	k	=	default_real
character(len=:),	public,	allocatable	::	optimizer_
real(kind=k),	private		::	learning_rate_	=	real(1.5, k)
integer,	private		::	mini_batches_	=	10

Constructor

private pure, module function default_real_from_components (mini_batches, learning_rate, optimizer)
private pure, module function default_real_from_json (lines)
private pure, module function double_precision_from_components (mini_batches, learning_rate, optimizer)
private pure, module function double_precision_from_json (lines)

Type-Bound Procedures

generic, public :: learning_rate => default_real_learning_rate, double_precision_learning_rate
generic, public :: mini_batches => default_real_mini_batches, double_precision_mini_batches
generic, public :: operator(==) => default_real_equals, double_precision_equals
generic, public :: optimizer_name => default_real_optimizer_name, double_precision_optimizer_name
generic, public :: to_json => default_real_to_json, double_precision_to_json
procedure, private :: default_real_equals
procedure, private :: default_real_learning_rate
procedure, private :: default_real_mini_batches
procedure, private :: default_real_optimizer_name
procedure, private :: default_real_to_json
procedure, private :: double_precision_equals
procedure, private :: double_precision_learning_rate
procedure, private :: double_precision_mini_batches
procedure, private :: double_precision_optimizer_name
procedure, private :: double_precision_to_json