tensor_map_t Derived Type

type, public :: tensor_map_t

Inherited by

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Components

Type	Visibility	Attributes		Name		Initial
integer,	public,	kind	::	k	=	default_real
real(kind=k),	private,	dimension(:), allocatable	::	intercept_
character(len=:),	private,	allocatable	::	layer_
real(kind=k),	private,	dimension(:), allocatable	::	slope_

Constructor

public interface tensor_map_t

private pure module function construct_default_real(layer, minima, maxima) result(tensor_map)

Arguments

Type	Intent	Optional	Attributes		Name
character(len=*),	intent(in)			::	layer
real,	intent(in),		dimension(:)	::	minima
real,	intent(in),		dimension(:)	::	maxima

Return Value type(tensor_map_t)

private pure module function construct_double_precision(layer, minima, maxima) result(tensor_map)

Arguments

Type	Intent	Optional	Attributes		Name
character(len=*),	intent(in)			::	layer
double precision,	intent(in),		dimension(:)	::	minima
double precision,	intent(in),		dimension(:)	::	maxima

Return Value type(tensor_map_t(double_precision))

private module function double_precision_from_json(lines) result(tensor_map)

Arguments

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

Return Value type(tensor_map_t(double_precision))

private module function from_json(lines) result(tensor_map)

Arguments

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

Return Value type(tensor_map_t)

Type-Bound Procedures

generic, public :: map_from_training_range => default_real_map_from_training_range, double_precision_map_from_training_range

private interface default_real_map_from_training_range()

Arguments
None
private interface double_precision_map_from_training_range()

Arguments
None

generic, public :: map_to_training_range => default_real_map_to_training_range, double_precision_map_to_training_range

private interface default_real_map_to_training_range()

Arguments
None
private interface double_precision_map_to_training_range()

Arguments
None

generic, public :: maxima => default_real_maxima, double_precision_maxima

private interface default_real_maxima()

Arguments
None
private interface double_precision_maxima()

Arguments
None

generic, public :: minima => default_real_minima, double_precision_minima

private interface default_real_minima()

Arguments
None
private interface double_precision_minima()

Arguments
None

generic, public :: operator(==) => default_real_equals, double_precision_equals

private interface default_real_equals()

Arguments
None
private interface double_precision_equals()

Arguments
None

generic, public :: to_json => default_real_to_json, double_precision_to_json

private interface default_real_to_json()

Arguments
None
private interface double_precision_to_json()

Arguments
None

procedure, private :: default_real_equals

interface

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

Arguments

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

Return Value logical

procedure, private, non_overridable :: default_real_map_from_training_range

interface

private elemental module function default_real_map_from_training_range(self, tensor) result(unnormalized_tensor)

Arguments

Type	Intent	Optional	Attributes		Name
class(tensor_map_t),	intent(in)			::	self
type(tensor_t),	intent(in)			::	tensor

Return Value type(tensor_t)

procedure, private, non_overridable :: default_real_map_to_training_range

interface

private elemental module function default_real_map_to_training_range(self, tensor) result(normalized_tensor)

Arguments

Type	Intent	Optional	Attributes		Name
class(tensor_map_t),	intent(in)			::	self
type(tensor_t),	intent(in)			::	tensor

Return Value type(tensor_t)

procedure, private, non_overridable :: default_real_maxima

interface

private pure module function default_real_maxima(self) result(maxima)

Arguments

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

Return Value real, allocatable, (:)

procedure, private, non_overridable :: default_real_minima

interface

private pure module function default_real_minima(self) result(minima)

Arguments

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

Return Value real, allocatable, (:)

procedure, private :: default_real_to_json

interface

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

Arguments

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

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

procedure, private :: double_precision_equals

interface

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

Arguments

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

Return Value logical

procedure, private, non_overridable :: double_precision_map_from_training_range

interface

private elemental module function double_precision_map_from_training_range(self, tensor) result(unnormalized_tensor)

Arguments

Type	Intent	Optional	Attributes		Name
class(tensor_map_t(double_precision)),	intent(in)			::	self
type(tensor_t(double_precision)),	intent(in)			::	tensor

Return Value type(tensor_t(double_precision))

procedure, private, non_overridable :: double_precision_map_to_training_range

interface

private elemental module function double_precision_map_to_training_range(self, tensor) result(normalized_tensor)

Arguments

Type	Intent	Optional	Attributes		Name
class(tensor_map_t(double_precision)),	intent(in)			::	self
type(tensor_t(double_precision)),	intent(in)			::	tensor

Return Value type(tensor_t(double_precision))

procedure, private, non_overridable :: double_precision_maxima

interface

private pure module function double_precision_maxima(self) result(maxima)

Arguments

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

Return Value double precision, allocatable, (:)

procedure, private, non_overridable :: double_precision_minima

interface

private pure module function double_precision_minima(self) result(minima)

Arguments

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

Return Value double precision, allocatable, (:)

procedure, private :: double_precision_to_json

interface

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

Arguments

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

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