hyperparameters_m.f90 Source File


This file depends on

sourcefile~~hyperparameters_m.f90~~EfferentGraph sourcefile~hyperparameters_m.f90 hyperparameters_m.f90 sourcefile~kind_parameters_m.f90 kind_parameters_m.f90 sourcefile~hyperparameters_m.f90->sourcefile~kind_parameters_m.f90

Files dependent on this one

sourcefile~~hyperparameters_m.f90~~AfferentGraph sourcefile~hyperparameters_m.f90 hyperparameters_m.f90 sourcefile~hyperparameters_s.f90 hyperparameters_s.f90 sourcefile~hyperparameters_s.f90->sourcefile~hyperparameters_m.f90 sourcefile~inference_engine_m.f90 inference_engine_m.f90 sourcefile~inference_engine_m.f90->sourcefile~hyperparameters_m.f90 sourcefile~training_configuration_m.f90 training_configuration_m.f90 sourcefile~inference_engine_m.f90->sourcefile~training_configuration_m.f90 sourcefile~trainable_engine_m.f90 trainable_engine_m.F90 sourcefile~inference_engine_m.f90->sourcefile~trainable_engine_m.f90 sourcefile~training_configuration_m.f90->sourcefile~hyperparameters_m.f90 sourcefile~concurrent-inferences.f90 concurrent-inferences.f90 sourcefile~concurrent-inferences.f90->sourcefile~inference_engine_m.f90 sourcefile~learn-addition.f90 learn-addition.F90 sourcefile~learn-addition.f90->sourcefile~inference_engine_m.f90 sourcefile~learn-exponentiation.f90 learn-exponentiation.F90 sourcefile~learn-exponentiation.f90->sourcefile~inference_engine_m.f90 sourcefile~learn-microphysics-procedures.f90 learn-microphysics-procedures.F90 sourcefile~learn-microphysics-procedures.f90->sourcefile~inference_engine_m.f90 sourcefile~thompson_tensors_m.f90 thompson_tensors_m.f90 sourcefile~learn-microphysics-procedures.f90->sourcefile~thompson_tensors_m.f90 sourcefile~learn-multiplication.f90 learn-multiplication.F90 sourcefile~learn-multiplication.f90->sourcefile~inference_engine_m.f90 sourcefile~learn-power-series.f90 learn-power-series.F90 sourcefile~learn-power-series.f90->sourcefile~inference_engine_m.f90 sourcefile~learn-saturated-mixing-ratio.f90 learn-saturated-mixing-ratio.F90 sourcefile~learn-saturated-mixing-ratio.f90->sourcefile~inference_engine_m.f90 sourcefile~saturated_mixing_ratio_m.f90 saturated_mixing_ratio_m.f90 sourcefile~learn-saturated-mixing-ratio.f90->sourcefile~saturated_mixing_ratio_m.f90 sourcefile~print-training-configuration.f90 print-training-configuration.F90 sourcefile~print-training-configuration.f90->sourcefile~inference_engine_m.f90 sourcefile~saturated_mixing_ratio_m.f90->sourcefile~inference_engine_m.f90 sourcefile~thompson_tensors_m.f90->sourcefile~inference_engine_m.f90 sourcefile~train-and-write.f90 train-and-write.F90 sourcefile~train-and-write.f90->sourcefile~inference_engine_m.f90 sourcefile~trainable_engine_m.f90->sourcefile~training_configuration_m.f90 sourcefile~training_configuration_s.f90 training_configuration_s.F90 sourcefile~training_configuration_s.f90->sourcefile~inference_engine_m.f90 sourcefile~training_configuration_s.f90->sourcefile~training_configuration_m.f90 sourcefile~write-read-infer.f90 write-read-infer.F90 sourcefile~write-read-infer.f90->sourcefile~inference_engine_m.f90 sourcefile~trainable_engine_s.f90 trainable_engine_s.F90 sourcefile~trainable_engine_s.f90->sourcefile~trainable_engine_m.f90

Source Code

module hyperparameters_m
  use sourcery_string_m, only : string_t
  use kind_parameters_m, only : rkind
  implicit none

  private
  public :: hyperparameters_t

  type hyperparameters_t
    private
    integer :: mini_batches_ = 10
    real :: learning_rate_ = 1.5
    character(len=:), allocatable :: optimizer_
  contains
    procedure :: to_json
    procedure :: equals
    generic :: operator(==) => equals
    procedure :: mini_batches
    procedure :: optimizer_name
    procedure :: learning_rate
    end type

  interface hyperparameters_t

    pure module function from_json(lines) result(hyperparameters)
      implicit none
      type(string_t), intent(in) :: lines(:)
      type(hyperparameters_t) hyperparameters
    end function

    pure module function from_components(mini_batches, learning_rate, optimizer) result(hyperparameters)
      implicit none
      integer, intent(in) :: mini_batches
      real, intent(in) :: learning_rate
      character(len=*), intent(in) :: optimizer
      type(hyperparameters_t) hyperparameters
    end function

  end interface

  interface

    pure module function to_json(self) result(lines)
      implicit none
      class(hyperparameters_t), intent(in) :: self
      type(string_t), allocatable :: lines(:)
    end function

    elemental module function equals(lhs, rhs) result(lhs_equals_rhs)
      implicit none
      class(hyperparameters_t), intent(in) :: lhs, rhs
      logical lhs_equals_rhs
    end function

    elemental module function mini_batches(self) result(num_mini_batches)
      implicit none
      class(hyperparameters_t), intent(in) :: self
      integer num_mini_batches
    end function

    elemental module function optimizer_name(self) result(identifier)
      implicit none
      class(hyperparameters_t), intent(in) :: self
      type(string_t) identifier
     end function


     elemental module function learning_rate(self) result(rate)
       implicit none
       class(hyperparameters_t), intent(in) :: self
       real(rkind) rate
     end function
  end interface

end module