Procedures

ProcedureLocationProcedure TypeDescription
activation relu_m Interface
activation swish_m Interface
activation sigmoid_m Interface
activation step_m Interface
activation_derivative relu_m Interface
activation_derivative swish_m Interface
activation_derivative sigmoid_m Interface
activation_function_name inference_engine_m_ Interface
activation_name network_configuration_m Interface
assert_conformable_with inference_engine_m_ Interface
assert_consistency inference_engine_s Interface
assert_consistent trainable_engine_m Interface
bias neuron_m Interface
count_inputs layer_m Interface
count_layers layer_m Interface
count_neurons layer_m Interface
difference_consistency inference_engine_s Subroutine
differentiable_activation_strategy training_configuration_m Interface
e learn_exponentiation Function
e learn_power_series Function
e train_saturated_mixture_ratio Function
e learn_multiplication Function
e learn_addition Function
e learn_microphysics_procedures Function
equals network_configuration_m Interface
equals hyperparameters_m Interface
equals ubounds_m Function
equals tensor_range_m Interface
equals training_configuration_m Interface
expected_outputs input_output_pair_m Interface
function_name relu_m Interface
function_name swish_m Interface
function_name sigmoid_m Interface
function_name step_m Interface
hyperparameters_t hyperparameters_m Interface
identity_network write_read_infer Function
in_range tensor_range_m Interface
infer trainable_engine_m Interface
infer inference_engine_m_ Interface
inference_engine layer_m Interface
inference_engine_consistency inference_engine_s Subroutine
inference_engine_t inference_engine_m_ Interface
input_output_pair_t input_output_pair_m Interface
input_output_pairs mini_batch_m Interface
inputs input_output_pair_m Interface
layer_t layer_m Interface
learning_rate hyperparameters_m Interface
learning_rate training_configuration_m Interface
map_from_input_training_range trainable_engine_m Interface
map_from_output_range inference_engine_m_ Interface
map_from_output_training_range trainable_engine_m Interface
map_from_training_range tensor_range_m Interface
map_to_input_range inference_engine_m_ Interface
map_to_input_training_range trainable_engine_m Interface
map_to_output_training_range trainable_engine_m Interface
map_to_training_range tensor_range_m Interface
mini_batch_t mini_batch_m Interface
mini_batches hyperparameters_m Interface
mini_batches training_configuration_m Interface
network_configuration_t network_configuration_m Interface
neuron_t neuron_m Interface
neurons_per_layer layer_m Interface
next_allocated neuron_m Interface
next_allocated layer_m Interface
next_pointer neuron_m Interface
next_pointer layer_m Interface
nodes_per_layer network_configuration_m Interface
nodes_per_layer inference_engine_m_ Interface
nodes_per_layer training_configuration_m Interface
norm inference_engine_m_ Interface
num_components tensor_m Interface
num_inputs trainable_engine_m Interface
num_inputs neuron_m Interface
num_inputs inference_engine_m_ Interface
num_layers trainable_engine_m Interface
num_outputs trainable_engine_m Interface
num_outputs inference_engine_m_ Interface
open_plot_file_for_appending train_saturated_mixture_ratio Subroutine
open_plot_file_for_appending learn_microphysics_procedures Subroutine
optimizer_name hyperparameters_m Interface
optimizer_name training_configuration_m Interface
output learn_exponentiation Subroutine
output train_and_write Subroutine
output learn_power_series Subroutine
output train_saturated_mixture_ratio Subroutine
output learn_multiplication Subroutine
output learn_addition Subroutine
output learn_microphysics_procedures Subroutine
perturbed_identity_network learn_exponentiation Function
perturbed_identity_network train_and_write Function
perturbed_identity_network learn_power_series Function
perturbed_identity_network train_saturated_mixture_ratio Function
perturbed_identity_network learn_multiplication Function
perturbed_identity_network learn_addition Function
perturbed_identity_network learn_microphysics_procedures Function
print_diagnostics train_saturated_mixture_ratio Subroutine
print_diagnostics learn_microphysics_procedures Subroutine
RSIF module_mp_thompson Function
RSLF module_mp_thompson Function
saturated_mixing_ratio saturated_mixing_ratio_m Function

Calculate the saturated mixing ratio for normalized tempetatures (k) and pressures (Pa)
set_activation_strategy inference_engine_s Subroutine
shuffle input_output_pair_m Interface
skip inference_engine_m_ Interface
skip_connections network_configuration_m Interface
skip_connections training_configuration_m Interface
subtract inference_engine_m_ Interface
tensor_range_t tensor_range_m Interface
tensor_t tensor_m Interface
to_exchange inference_engine_m_ Interface
to_inference_engine trainable_engine_m Interface
to_json network_configuration_m Interface
to_json hyperparameters_m Interface
to_json inference_engine_m_ Interface
to_json tensor_range_m Interface
to_json training_configuration_m Interface
train trainable_engine_m Interface
trainable_engine_t trainable_engine_m Interface
training_configuration_t training_configuration_m Interface
values tensor_m Interface
weights neuron_m Interface
write_read_query_infer write_read_infer Subroutine
y exponentiation_m Function
y power_series Function
y thompson_tensors_m Function
y multiply_inputs Function
y saturated_mixing_ratio_m Function
y addition_m Function
call~~graph~~CallGraph interface~activation relu_t%activation interface~activation_derivative relu_t%activation_derivative interface~activation_derivative~2 swish_t%activation_derivative interface~activation_derivative~3 sigmoid_t%activation_derivative interface~activation_function_name inference_engine_t%activation_function_name interface~activation_name network_configuration_t%activation_name interface~activation~2 swish_t%activation interface~activation~3 sigmoid_t%activation interface~activation~4 step_t%activation interface~assert_conformable_with inference_engine_t%assert_conformable_with interface~assert_consistency assert_consistency proc~difference_consistency difference_consistency interface~assert_consistency->proc~difference_consistency proc~inference_engine_consistency inference_engine_consistency interface~assert_consistency->proc~inference_engine_consistency interface~assert_consistent trainable_engine_t%assert_consistent interface~bias neuron_t%bias interface~count_inputs layer_t%count_inputs interface~count_layers layer_t%count_layers interface~count_neurons layer_t%count_neurons interface~differentiable_activation_strategy training_configuration_t%differentiable_activation_strategy interface~equals network_configuration_t%equals interface~equals~2 hyperparameters_t%equals interface~equals~3 tensor_range_t%equals interface~equals~4 training_configuration_t%equals interface~expected_outputs input_output_pair_t%expected_outputs interface~function_name relu_t%function_name interface~function_name~2 swish_t%function_name interface~function_name~3 sigmoid_t%function_name interface~function_name~4 step_t%function_name interface~hyperparameters_t hyperparameters_t interface~in_range tensor_range_t%in_range interface~infer trainable_engine_t%infer interface~inference_engine layer_t%inference_engine interface~inference_engine_t inference_engine_t interface~infer~2 inference_engine_t%infer interface~input_output_pair_t input_output_pair_t interface~input_output_pairs mini_batch_t%input_output_pairs interface~inputs input_output_pair_t%inputs interface~layer_t layer_t interface~learning_rate hyperparameters_t%learning_rate interface~learning_rate~2 training_configuration_t%learning_rate interface~map_from_input_training_range trainable_engine_t%map_from_input_training_range interface~map_from_output_range inference_engine_t%map_from_output_range interface~map_from_output_training_range trainable_engine_t%map_from_output_training_range interface~map_from_training_range tensor_range_t%map_from_training_range interface~map_to_input_range inference_engine_t%map_to_input_range interface~map_to_input_training_range trainable_engine_t%map_to_input_training_range interface~map_to_output_training_range trainable_engine_t%map_to_output_training_range interface~map_to_training_range tensor_range_t%map_to_training_range interface~mini_batch_t mini_batch_t interface~mini_batches hyperparameters_t%mini_batches interface~mini_batches~2 training_configuration_t%mini_batches interface~network_configuration_t network_configuration_t interface~neuron_t neuron_t interface~neurons_per_layer layer_t%neurons_per_layer interface~next_allocated neuron_t%next_allocated interface~next_allocated~2 layer_t%next_allocated interface~next_pointer neuron_t%next_pointer interface~next_pointer~2 layer_t%next_pointer interface~nodes_per_layer network_configuration_t%nodes_per_layer interface~nodes_per_layer~2 inference_engine_t%nodes_per_layer interface~nodes_per_layer~3 training_configuration_t%nodes_per_layer interface~norm difference_t%norm interface~num_components tensor_t%num_components interface~num_inputs trainable_engine_t%num_inputs interface~num_inputs~2 neuron_t%num_inputs interface~num_inputs~3 inference_engine_t%num_inputs interface~num_layers trainable_engine_t%num_layers interface~num_outputs trainable_engine_t%num_outputs interface~num_outputs~2 inference_engine_t%num_outputs interface~optimizer_name hyperparameters_t%optimizer_name interface~optimizer_name~2 training_configuration_t%optimizer_name interface~shuffle shuffle interface~skip inference_engine_t%skip interface~skip_connections network_configuration_t%skip_connections interface~skip_connections~2 training_configuration_t%skip_connections interface~subtract inference_engine_t%subtract interface~tensor_range_t tensor_range_t interface~tensor_t tensor_t interface~to_exchange inference_engine_t%to_exchange interface~to_inference_engine trainable_engine_t%to_inference_engine interface~to_json network_configuration_t%to_json interface~to_json~2 hyperparameters_t%to_json interface~to_json~3 inference_engine_t%to_json interface~to_json~4 tensor_range_t%to_json interface~to_json~5 training_configuration_t%to_json interface~train trainable_engine_t%train interface~trainable_engine_t trainable_engine_t interface~training_configuration_t training_configuration_t interface~values tensor_t%values interface~weights neuron_t%weights none~operator(-) inference_engine_t%operator(-) none~operator(-)->interface~subtract none~operator(==) network_configuration_t%operator(==) none~operator(==)->interface~equals none~operator(==)~2 hyperparameters_t%operator(==) none~operator(==)~2->interface~equals~2 none~operator(==)~3 ubounds_t%operator(==) proc~equals~3 ubounds_t%equals none~operator(==)~3->proc~equals~3 none~operator(==)~4 tensor_range_t%operator(==) none~operator(==)~4->interface~equals~3 none~operator(==)~5 training_configuration_t%operator(==) none~operator(==)~5->interface~equals~4 proc~activation activation proc~activation->interface~activation~3 proc~activation_derivative activation_derivative proc~activation_derivative->interface~activation_derivative~3 proc~activation_derivative->interface~activation~3 proc~activation_derivative~2 activation_derivative proc~activation_derivative~3 activation_derivative proc~activation_function_name activation_function_name proc~activation_name activation_name proc~activation~2 activation proc~activation~3 activation proc~activation~4 activation proc~assert_conformable_with assert_conformable_with proc~assert_conformable_with->interface~assert_consistency assert assert proc~assert_conformable_with->assert intrinsic_array_t intrinsic_array_t proc~assert_conformable_with->intrinsic_array_t proc~assert_consistent assert_consistent proc~assert_consistent->assert proc~assert_consistent->intrinsic_array_t proc~bias bias proc~construct construct proc~construct->assert string string proc~construct->string proc~construct_from_components construct_from_components proc~construct_from_inference_engine construct_from_inference_engine proc~construct_from_inference_engine->interface~to_exchange proc~construct_from_json construct_from_json proc~construct_from_json->interface~assert_consistency proc~construct_from_json->interface~count_layers proc~construct_from_json->interface~count_neurons proc~construct_from_json->interface~inference_engine proc~construct_from_json->interface~to_json~4 proc~set_activation_strategy set_activation_strategy proc~construct_from_json->proc~set_activation_strategy proc~construct_from_json->assert lines lines proc~construct_from_json->lines proc~construct_from_json->string string_t string_t proc~construct_from_json->string_t proc~construct_from_padded_arrays construct_from_padded_arrays proc~construct_from_padded_arrays->interface~assert_consistency proc~construct_from_padded_arrays->proc~set_activation_strategy proc~construct_from_padded_arrays~2 construct_from_padded_arrays proc~construct_from_padded_arrays~2->interface~assert_consistent proc~construct_layer construct_layer proc~construct_layer->interface~next_allocated proc~construct_layer->interface~next_pointer proc~construct_layer->interface~weights proc~construct_layer->assert proc~construct_layer->string proc~construct~2 construct proc~construct~3 construct proc~count_inputs count_inputs proc~count_inputs->interface~num_inputs~2 proc~count_layers count_layers proc~count_neurons count_neurons proc~count_neurons->interface~next_allocated proc~count_neurons->interface~next_pointer proc~difference_consistency->assert proc~difference_consistency->intrinsic_array_t proc~differentiable_activation_strategy differentiable_activation_strategy proc~differentiable_activation_strategy->interface~activation_name proc~differentiable_activation_strategy->string proc~e e proc~equals equals proc~equals->assert proc~equals~2 equals proc~equals~2->assert proc~equals~4 equals proc~equals~5 equals proc~equals~5->assert proc~expected_outputs expected_outputs proc~e~2 e proc~e~3 e proc~e~4 e proc~e~5 e proc~e~6 e proc~from_components from_components proc~from_components~2 from_components proc~from_components~2->assert proc~from_components~3 from_components proc~from_components~3->interface~to_json~2 file_t file_t proc~from_components~3->file_t proc~from_components~3->string_t proc~from_components~4 from_components proc~from_file from_file proc~from_file->assert proc~from_file->lines proc~from_file->string proc~from_json from_json proc~from_json->assert get_json_key get_json_key proc~from_json->get_json_key get_json_value get_json_value proc~from_json->get_json_value proc~from_json->string_t proc~from_json~2 from_json proc~from_json~2->assert proc~from_json~2->get_json_key proc~from_json~2->get_json_value proc~from_json~2->string_t proc~from_json~3 from_json proc~from_json~3->assert proc~from_json~3->get_json_key proc~from_json~3->get_json_value proc~from_json~3->string_t proc~function_name function_name proc~function_name->string_t proc~function_name~2 function_name proc~function_name~2->string_t proc~function_name~3 function_name proc~function_name~3->string_t proc~function_name~4 function_name proc~function_name~4->string_t proc~identity_network identity_network proc~identity_network->string_t proc~in_range in_range proc~in_range->interface~values proc~infer infer proc~infer->interface~assert_consistency proc~infer->interface~map_from_training_range proc~infer->interface~map_to_training_range activation activation proc~infer->activation values values proc~infer->values proc~inference_engine inference_engine proc~inference_engine->interface~count_inputs proc~inference_engine->interface~count_layers proc~inference_engine->interface~count_neurons proc~inference_engine->assert bias bias proc~inference_engine->bias biases biases proc~inference_engine->biases next_allocated next_allocated proc~inference_engine->next_allocated next_pointer next_pointer proc~inference_engine->next_pointer weights weights proc~inference_engine->weights proc~inference_engine_consistency->assert proc~inference_engine_consistency->intrinsic_array_t proc~infer~2 infer proc~infer~2->interface~assert_consistent proc~infer~2->interface~map_from_training_range proc~infer~2->interface~map_to_training_range proc~infer~2->activation proc~infer~2->values proc~input_output_pairs input_output_pairs proc~inputs inputs proc~learning_rate learning_rate proc~learning_rate->interface~learning_rate proc~learning_rate~2 learning_rate proc~map_from_input_training_range map_from_input_training_range proc~map_from_input_training_range->interface~map_from_training_range proc~map_from_output_range map_from_output_range proc~map_from_output_range->interface~map_from_training_range proc~map_from_output_training_range map_from_output_training_range proc~map_from_output_training_range->interface~map_from_training_range proc~map_from_training_range map_from_training_range proc~map_from_training_range->interface~values proc~map_to_input_range map_to_input_range proc~map_to_input_range->interface~map_to_training_range proc~map_to_input_training_range map_to_input_training_range proc~map_to_input_training_range->interface~map_to_training_range proc~map_to_output_training_range map_to_output_training_range proc~map_to_output_training_range->interface~map_to_training_range proc~map_to_training_range map_to_training_range proc~map_to_training_range->interface~values proc~mini_batches mini_batches proc~mini_batches->interface~mini_batches proc~mini_batches~2 mini_batches proc~neurons_per_layer neurons_per_layer proc~neurons_per_layer->interface~next_allocated proc~neurons_per_layer->interface~next_pointer proc~next_allocated next_allocated proc~next_allocated~2 next_allocated proc~next_pointer next_pointer proc~next_pointer~2 next_pointer proc~nodes_per_layer nodes_per_layer proc~nodes_per_layer~2 nodes_per_layer proc~nodes_per_layer~2->interface~assert_consistency proc~nodes_per_layer~3 nodes_per_layer proc~nodes_per_layer~3->interface~nodes_per_layer proc~norm norm proc~num_components num_components proc~num_inputs num_inputs proc~num_inputs~2 num_inputs proc~num_inputs~2->interface~assert_consistency proc~num_inputs~3 num_inputs proc~num_layers num_layers proc~num_outputs num_outputs proc~num_outputs->interface~assert_consistency proc~num_outputs~2 num_outputs proc~open_plot_file_for_appending open_plot_file_for_appending proc~open_plot_file_for_appending->file_t proc~open_plot_file_for_appending->lines proc~open_plot_file_for_appending->string proc~open_plot_file_for_appending->string_t proc~open_plot_file_for_appending~2 open_plot_file_for_appending proc~open_plot_file_for_appending~2->file_t proc~open_plot_file_for_appending~2->lines proc~open_plot_file_for_appending~2->string proc~open_plot_file_for_appending~2->string_t proc~optimizer_name optimizer_name proc~optimizer_name->interface~optimizer_name proc~optimizer_name~2 optimizer_name proc~optimizer_name~2->string_t proc~output output proc~output->interface~to_json~3 write_lines write_lines proc~output->write_lines proc~output~2 output proc~output~2->interface~to_json~3 proc~output~2->write_lines proc~output~3 output proc~output~3->interface~to_json~3 proc~output~3->write_lines proc~output~4 output proc~output~4->interface~to_json~3 proc~output~4->write_lines proc~output~5 output proc~output~5->interface~to_json~3 proc~output~5->write_lines proc~output~6 output proc~output~6->interface~to_json~3 proc~output~6->write_lines proc~output~7 output proc~output~7->interface~to_json~3 proc~output~7->write_lines proc~perturbed_identity_network perturbed_identity_network proc~perturbed_identity_network->proc~e proc~perturbed_identity_network->string_t proc~perturbed_identity_network~2 perturbed_identity_network proc~perturbed_identity_network~2->string_t proc~perturbed_identity_network~3 perturbed_identity_network proc~perturbed_identity_network~3->proc~e~2 proc~perturbed_identity_network~3->string_t proc~perturbed_identity_network~4 perturbed_identity_network proc~perturbed_identity_network~4->proc~e~3 proc~perturbed_identity_network~4->string_t proc~perturbed_identity_network~5 perturbed_identity_network proc~perturbed_identity_network~5->proc~e~4 proc~perturbed_identity_network~5->string_t proc~perturbed_identity_network~6 perturbed_identity_network proc~perturbed_identity_network~6->interface~differentiable_activation_strategy proc~perturbed_identity_network~6->interface~nodes_per_layer~3 proc~perturbed_identity_network~7 perturbed_identity_network proc~perturbed_identity_network~7->proc~e~5 proc~perturbed_identity_network~7->string_t proc~perturbed_identity_network~8 perturbed_identity_network proc~perturbed_identity_network~8->proc~e~6 proc~perturbed_identity_network~8->string_t proc~print_diagnostics print_diagnostics proc~print_diagnostics~2 print_diagnostics proc~rsif RSIF proc~rslf RSLF proc~saturated_mixing_ratio saturated_mixing_ratio proc~set_activation_strategy->string proc~shuffle shuffle proc~skip skip proc~skip->string proc~skip_connections skip_connections proc~skip_connections~2 skip_connections proc~skip_connections~2->interface~skip_connections proc~subtract subtract proc~subtract->interface~assert_conformable_with proc~subtract->interface~assert_consistency proc~to_exchange to_exchange proc~to_inference_engine to_inference_engine proc~to_json to_json proc~to_json->string_t proc~to_json~2 to_json proc~to_json~2->assert separated_values separated_values proc~to_json~2->separated_values proc~to_json~2->string_t proc~to_json~3 to_json proc~to_json~3->interface~assert_consistency proc~to_json~3->interface~num_inputs~3 proc~to_json~3->interface~num_outputs~2 proc~to_json~3->interface~to_json~4 proc~to_json~3->assert proc~to_json~3->file_t hidden_layer_weights hidden_layer_weights proc~to_json~3->hidden_layer_weights input_range_json input_range_json proc~to_json~3->input_range_json proc~to_json~3->intrinsic_array_t output_range_json output_range_json proc~to_json~3->output_range_json proc~to_json~3->separated_values proc~to_json~3->string proc~to_json~3->string_t proc~to_json~4 to_json proc~to_json~4->lines proc~to_json~5 to_json proc~to_json~5->string_t proc~train train proc~train->interface~assert_consistent proc~train->interface~input_output_pairs proc~train->interface~num_inputs proc~train->interface~num_layers proc~train->interface~values proc~train->activation activation_derivative activation_derivative proc~train->activation_derivative beta beta proc~train->beta expected_outputs expected_outputs proc~train->expected_outputs inputs inputs proc~train->inputs obeta obeta proc~train->obeta proc~values values proc~weights weights proc~write_read_query_infer write_read_query_infer proc~write_read_query_infer->interface~activation_function_name proc~write_read_query_infer->interface~infer~2 proc~write_read_query_infer->interface~nodes_per_layer~2 proc~write_read_query_infer->interface~num_inputs~3 proc~write_read_query_infer->interface~num_outputs~2 proc~write_read_query_infer->interface~to_json~3 proc~write_read_query_infer->interface~values proc~write_read_query_infer->proc~identity_network proc~write_read_query_infer->file_t proc~write_read_query_infer->string proc~write_read_query_infer->write_lines proc~y y proc~y->interface~values proc~y->assert proc~y~2 y proc~y~2->interface~values proc~y~2->assert proc~y~3 y proc~y~3->interface~values proc~y~3->proc~rsif proc~y~3->proc~rslf proc~y~3->assert proc~y~4 y proc~y~4->interface~values proc~y~4->assert proc~y~5 y proc~y~5->interface~values proc~y~5->proc~saturated_mixing_ratio proc~y~5->assert proc~y~6 y proc~y~6->interface~values proc~y~6->assert program~concurrent_inferences concurrent_inferences program~concurrent_inferences->assert program~concurrent_inferences->file_t flag_value flag_value program~concurrent_inferences->flag_value infer infer program~concurrent_inferences->infer input_components input_components program~concurrent_inferences->input_components program~concurrent_inferences->inputs num_inputs num_inputs program~concurrent_inferences->num_inputs outputs outputs program~concurrent_inferences->outputs program~concurrent_inferences->string program~concurrent_inferences->string_t program~learn_addition learn_addition program~learn_addition->interface~shuffle program~learn_addition->proc~output~6 program~learn_addition->proc~perturbed_identity_network~7 program~learn_addition->proc~y~6 program~learn_addition->assert bin_t bin_t program~learn_addition->bin_t bins bins program~learn_addition->bins cost cost program~learn_addition->cost desired_outputs desired_outputs program~learn_addition->desired_outputs first first program~learn_addition->first program~learn_addition->flag_value program~learn_addition->infer input_output_pairs input_output_pairs program~learn_addition->input_output_pairs program~learn_addition->inputs program~learn_addition->intrinsic_array_t last last program~learn_addition->last mini_batches mini_batches program~learn_addition->mini_batches program~learn_addition->num_inputs num_outputs num_outputs program~learn_addition->num_outputs output_sizes output_sizes program~learn_addition->output_sizes random_init random_init program~learn_addition->random_init random_numbers random_numbers program~learn_addition->random_numbers program~learn_addition->string program~learn_addition->string_t to_inference_engine to_inference_engine program~learn_addition->to_inference_engine train train program~learn_addition->train program~learn_addition->values program~learn_exponentiation learn_exponentiation program~learn_exponentiation->interface~shuffle program~learn_exponentiation->proc~output program~learn_exponentiation->proc~perturbed_identity_network program~learn_exponentiation->proc~y program~learn_exponentiation->assert program~learn_exponentiation->bin_t program~learn_exponentiation->bins program~learn_exponentiation->cost program~learn_exponentiation->desired_outputs program~learn_exponentiation->first program~learn_exponentiation->flag_value program~learn_exponentiation->infer program~learn_exponentiation->input_output_pairs program~learn_exponentiation->inputs program~learn_exponentiation->intrinsic_array_t program~learn_exponentiation->last program~learn_exponentiation->mini_batches program~learn_exponentiation->num_inputs program~learn_exponentiation->num_outputs program~learn_exponentiation->output_sizes program~learn_exponentiation->random_init program~learn_exponentiation->random_numbers program~learn_exponentiation->string program~learn_exponentiation->string_t program~learn_exponentiation->to_inference_engine program~learn_exponentiation->train program~learn_exponentiation->values program~learn_microphysics_procedures learn_microphysics_procedures program~learn_microphysics_procedures->interface~shuffle program~learn_microphysics_procedures->proc~open_plot_file_for_appending~2 program~learn_microphysics_procedures->proc~output~7 program~learn_microphysics_procedures->proc~perturbed_identity_network~8 program~learn_microphysics_procedures->proc~print_diagnostics~2 program~learn_microphysics_procedures->proc~y~3 program~learn_microphysics_procedures->assert program~learn_microphysics_procedures->bin_t program~learn_microphysics_procedures->bins program~learn_microphysics_procedures->cost program~learn_microphysics_procedures->desired_outputs program~learn_microphysics_procedures->file_t program~learn_microphysics_procedures->first program~learn_microphysics_procedures->flag_value program~learn_microphysics_procedures->infer program~learn_microphysics_procedures->input_output_pairs program~learn_microphysics_procedures->inputs program~learn_microphysics_procedures->intrinsic_array_t program~learn_microphysics_procedures->last program~learn_microphysics_procedures->mini_batches nodes_per_layer nodes_per_layer program~learn_microphysics_procedures->nodes_per_layer program~learn_microphysics_procedures->num_inputs program~learn_microphysics_procedures->num_outputs program~learn_microphysics_procedures->output_sizes program~learn_microphysics_procedures->random_init program~learn_microphysics_procedures->random_numbers program~learn_microphysics_procedures->string program~learn_microphysics_procedures->string_t program~learn_microphysics_procedures->to_inference_engine program~learn_microphysics_procedures->train program~learn_microphysics_procedures->values program~learn_multiplication learn_multiplication program~learn_multiplication->interface~shuffle program~learn_multiplication->proc~output~5 program~learn_multiplication->proc~perturbed_identity_network~5 program~learn_multiplication->proc~y~4 program~learn_multiplication->assert program~learn_multiplication->bin_t program~learn_multiplication->bins program~learn_multiplication->cost program~learn_multiplication->desired_outputs program~learn_multiplication->first program~learn_multiplication->flag_value program~learn_multiplication->infer program~learn_multiplication->input_output_pairs program~learn_multiplication->inputs program~learn_multiplication->intrinsic_array_t program~learn_multiplication->last program~learn_multiplication->mini_batches program~learn_multiplication->num_inputs program~learn_multiplication->num_outputs program~learn_multiplication->output_sizes program~learn_multiplication->random_init program~learn_multiplication->random_numbers program~learn_multiplication->string program~learn_multiplication->string_t program~learn_multiplication->to_inference_engine program~learn_multiplication->train program~learn_multiplication->values program~learn_power_series learn_power_series program~learn_power_series->interface~shuffle program~learn_power_series->proc~output~3 program~learn_power_series->proc~perturbed_identity_network~3 program~learn_power_series->proc~y~2 program~learn_power_series->assert program~learn_power_series->bin_t program~learn_power_series->bins program~learn_power_series->cost program~learn_power_series->desired_outputs program~learn_power_series->first program~learn_power_series->flag_value program~learn_power_series->infer program~learn_power_series->input_output_pairs program~learn_power_series->inputs program~learn_power_series->intrinsic_array_t program~learn_power_series->last program~learn_power_series->mini_batches program~learn_power_series->num_inputs program~learn_power_series->num_outputs program~learn_power_series->output_sizes program~learn_power_series->random_init program~learn_power_series->random_numbers program~learn_power_series->string program~learn_power_series->string_t program~learn_power_series->to_inference_engine program~learn_power_series->train program~learn_power_series->values white_noise white_noise program~learn_power_series->white_noise program~print_training_configuration print_training_configuration program~print_training_configuration->interface~to_json~5 program~print_training_configuration->file_t program~print_training_configuration->write_lines program~train_and_write train_and_write program~train_and_write->interface~shuffle program~train_and_write->proc~output~2 program~train_and_write->proc~perturbed_identity_network~2 program~train_and_write->assert program~train_and_write->bin_t program~train_and_write->bins program~train_and_write->cost program~train_and_write->first program~train_and_write->flag_value program~train_and_write->infer program~train_and_write->input_output_pairs program~train_and_write->inputs program~train_and_write->intrinsic_array_t program~train_and_write->last program~train_and_write->mini_batches program~train_and_write->num_inputs program~train_and_write->num_outputs program~train_and_write->random_init program~train_and_write->random_numbers program~train_and_write->string program~train_and_write->string_t program~train_and_write->to_inference_engine program~train_and_write->train program~train_and_write->values program~train_saturated_mixture_ratio train_saturated_mixture_ratio program~train_saturated_mixture_ratio->interface~shuffle program~train_saturated_mixture_ratio->proc~open_plot_file_for_appending program~train_saturated_mixture_ratio->proc~output~4 program~train_saturated_mixture_ratio->proc~perturbed_identity_network~4 program~train_saturated_mixture_ratio->proc~print_diagnostics program~train_saturated_mixture_ratio->proc~y~5 program~train_saturated_mixture_ratio->assert program~train_saturated_mixture_ratio->bin_t program~train_saturated_mixture_ratio->bins program~train_saturated_mixture_ratio->cost program~train_saturated_mixture_ratio->desired_outputs program~train_saturated_mixture_ratio->file_t program~train_saturated_mixture_ratio->first program~train_saturated_mixture_ratio->flag_value program~train_saturated_mixture_ratio->infer program~train_saturated_mixture_ratio->input_output_pairs program~train_saturated_mixture_ratio->inputs program~train_saturated_mixture_ratio->intrinsic_array_t program~train_saturated_mixture_ratio->last program~train_saturated_mixture_ratio->mini_batches program~train_saturated_mixture_ratio->nodes_per_layer program~train_saturated_mixture_ratio->num_inputs program~train_saturated_mixture_ratio->num_outputs program~train_saturated_mixture_ratio->output_sizes program~train_saturated_mixture_ratio->random_init program~train_saturated_mixture_ratio->random_numbers program~train_saturated_mixture_ratio->string program~train_saturated_mixture_ratio->string_t program~train_saturated_mixture_ratio->to_inference_engine program~train_saturated_mixture_ratio->train program~train_saturated_mixture_ratio->values program~write_read_infer write_read_infer program~write_read_infer->proc~write_read_query_infer program~write_read_infer->flag_value program~write_read_infer->string program~write_read_infer->string_t
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