Index
_
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A
|
B
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C
|
D
|
E
|
F
|
G
|
H
|
I
|
L
|
M
|
N
|
O
|
P
|
R
|
S
|
T
|
U
|
W
_
_best1() (mloop.learners.DifferentialEvolutionLearner method)
_best2() (mloop.learners.DifferentialEvolutionLearner method)
_color_from_controller_name() (in module mloop.visualizations)
_color_list_from_num_of_params() (in module mloop.visualizations)
_config_logger() (in module mloop.utilities)
_first_params() (mloop.controllers.Controller method)
_fit_neural_net() (mloop.learners.NeuralNetLearner method)
_get_cost_and_in_dict() (mloop.controllers.Controller method)
(mloop.controllers.MachineLearnerController method)
_init_cost_scaler() (mloop.learners.NeuralNetLearner method)
_next_params() (mloop.controllers.Controller method)
(mloop.controllers.DifferentialEvolutionController method)
(mloop.controllers.MachineLearnerController method)
(mloop.controllers.NelderMeadController method)
(mloop.controllers.RandomController method)
_optimization_routine() (mloop.controllers.Controller method)
(mloop.controllers.MachineLearnerController method)
_pop_extras_kwargs() (in module mloop.launchers)
_put_params_and_out_dict() (mloop.controllers.Controller method)
(mloop.controllers.MachineLearnerController method)
_rand1() (mloop.learners.DifferentialEvolutionLearner method)
_rand2() (mloop.learners.DifferentialEvolutionLearner method)
_set_trust_region() (mloop.learners.Learner method)
_shut_down() (mloop.controllers.Controller method)
(mloop.controllers.MachineLearnerController method)
(mloop.learners.Learner method)
_start_up() (mloop.controllers.Controller method)
(mloop.controllers.MachineLearnerController method)
_update_controller_with_learner_attributes() (mloop.controllers.Controller method)
A
all_costs (mloop.learners.GaussianProcessLearner attribute)
(mloop.learners.NeuralNetLearner attribute)
all_params (mloop.learners.GaussianProcessLearner attribute)
(mloop.learners.NeuralNetLearner attribute)
all_uncers (mloop.learners.GaussianProcessLearner attribute)
(mloop.learners.NeuralNetLearner attribute)
B
bad_run_indexs (mloop.learners.GaussianProcessLearner attribute)
(mloop.learners.NeuralNetLearner attribute)
best_cost (mloop.controllers.Controller attribute)
(mloop.learners.GaussianProcessLearner attribute)
(mloop.learners.NeuralNetLearner attribute)
best_index (mloop.controllers.Controller attribute)
(mloop.learners.GaussianProcessLearner attribute)
(mloop.learners.NeuralNetLearner attribute)
best_params (mloop.controllers.Controller attribute)
(mloop.learners.GaussianProcessLearner attribute)
(mloop.learners.NeuralNetLearner attribute)
best_uncer (mloop.controllers.Controller attribute)
C
check_end_conditions() (mloop.controllers.Controller method)
check_file_type_supported() (in module mloop.utilities)
check_in_boundary() (mloop.learners.Learner method)
check_in_diff_boundary() (mloop.learners.Learner method)
check_num_params() (mloop.learners.Learner method)
config_logger() (in module mloop.utilities)
configure_plots() (in module mloop.visualizations)
Controller (class in mloop.controllers)
ControllerInterrupt
ControllerVisualizer (class in mloop.visualizations)
cost_count (mloop.learners.GaussianProcessLearner attribute)
(mloop.learners.NeuralNetLearner attribute)
cost_range (mloop.learners.GaussianProcessLearner attribute)
(mloop.learners.NeuralNetLearner attribute)
cost_scaler (mloop.learners.GaussianProcessLearner attribute)
(mloop.learners.NeuralNetLearner attribute)
cost_scaler_init_index (mloop.learners.NeuralNetLearner attribute)
costs_generations (mloop.learners.DifferentialEvolutionLearner attribute)
costs_in_queue (mloop.controllers.Controller attribute)
(mloop.learners.Learner attribute)
create_controller() (in module mloop.controllers)
create_controller_visualizations() (in module mloop.visualizations)
create_differential_evolution_learner_visualizations() (in module mloop.visualizations)
create_gaussian_process() (mloop.learners.GaussianProcessLearner method)
create_gaussian_process_learner_visualizations() (in module mloop.visualizations)
create_interface() (in module mloop.interfaces)
create_neural_net() (mloop.learners.NeuralNetLearner method)
create_neural_net_learner_visualizations() (in module mloop.visualizations)
curr_std (mloop.learners.DifferentialEvolutionLearner attribute)
D
datetime_to_string() (in module mloop.utilities)
dict_to_txt_file() (in module mloop.utilities)
DifferentialEvolutionController (class in mloop.controllers)
DifferentialEvolutionLearner (class in mloop.learners)
DifferentialEvolutionVisualizer (class in mloop.visualizations)
do_cross_sections() (mloop.visualizations.NeuralNetVisualizer method)
E
end_event (mloop.learners.Learner attribute)
end_interface (mloop.controllers.Controller attribute)
end_learner (mloop.controllers.Controller attribute)
F
FakeExperiment (class in mloop.testing)
FileInterface (class in mloop.interfaces)
find_global_minima() (mloop.learners.GaussianProcessLearner method)
(mloop.learners.NeuralNetLearner method)
find_next_parameters() (mloop.learners.GaussianProcessLearner method)
(mloop.learners.NeuralNetLearner method)
fit_count (mloop.learners.GaussianProcessLearner attribute)
fit_gaussian_process() (mloop.learners.GaussianProcessLearner method)
G
gaussian_process (mloop.learners.GaussianProcessLearner attribute)
GaussianProcessController (class in mloop.controllers)
GaussianProcessLearner (class in mloop.learners)
GaussianProcessVisualizer (class in mloop.visualizations)
generate_population() (mloop.learners.DifferentialEvolutionLearner method)
generation_num (mloop.learners.GaussianProcessLearner attribute)
(mloop.learners.NeuralNetLearner attribute)
get_cost_dict() (mloop.testing.TestLandscape method)
get_dict_from_file() (in module mloop.utilities)
get_losses() (mloop.learners.NeuralNetLearner method)
get_next_cost_dict() (mloop.interfaces.FileInterface method)
(mloop.interfaces.Interface method)
(mloop.interfaces.ShellInterface method)
(mloop.interfaces.TestInterface method)
get_params_and_costs() (mloop.learners.GaussianProcessLearner method)
(mloop.learners.NeuralNetLearner method)
H
has_trust_region (mloop.learners.DifferentialEvolutionLearner attribute)
(mloop.learners.GaussianProcessLearner attribute)
(mloop.learners.NeuralNetLearner attribute)
I
import_neural_net() (mloop.learners.NeuralNetLearner method)
in_costs (mloop.controllers.Controller attribute)
in_uncers (mloop.controllers.Controller attribute)
init_simplex_corner (mloop.learners.NelderMeadLearner attribute)
init_simplex_disp (mloop.learners.NelderMeadLearner attribute)
init_std (mloop.learners.DifferentialEvolutionLearner attribute)
Interface (class in mloop.interfaces)
InterfaceInterrupt
L
launch_extras() (in module mloop.launchers)
launch_from_file() (in module mloop.launchers)
Learner (class in mloop.learners)
learner (mloop.controllers.Controller attribute)
learner_costs_queue (mloop.controllers.Controller attribute)
learner_params_queue (mloop.controllers.Controller attribute)
LearnerInterrupt
length_scale_history (mloop.learners.GaussianProcessLearner attribute)
M
MachineLearnerController (class in mloop.controllers)
mloop (module)
mloop.controllers (module)
mloop.interfaces (module)
mloop.launchers (module)
mloop.learners (module)
mloop.testing (module)
mloop.utilities (module)
mloop.visualizations (module)
mutate() (mloop.learners.DifferentialEvolutionLearner method)
N
NelderMeadController (class in mloop.controllers)
NelderMeadLearner (class in mloop.learners)
neural_net (mloop.learners.NeuralNetLearner attribute)
NeuralNetController (class in mloop.controllers)
NeuralNetLearner (class in mloop.learners)
NeuralNetVisualizer (class in mloop.visualizations)
next_generation() (mloop.learners.DifferentialEvolutionLearner method)
noise_level_history (mloop.learners.GaussianProcessLearner attribute)
(mloop.learners.NeuralNetLearner attribute)
NullQueueListener (class in mloop.utilities)
num_in_costs (mloop.controllers.Controller attribute)
num_out_params (mloop.controllers.Controller attribute)
num_population_members (mloop.learners.DifferentialEvolutionLearner attribute)
O
optimize() (mloop.controllers.Controller method)
out_extras (mloop.controllers.Controller attribute)
out_params (mloop.controllers.Controller attribute)
P
params_count (mloop.learners.GaussianProcessLearner attribute)
(mloop.learners.NeuralNetLearner attribute)
params_generations (mloop.learners.DifferentialEvolutionLearner attribute)
params_out_queue (mloop.controllers.Controller attribute)
(mloop.learners.Learner attribute)
plot_cost_vs_run() (mloop.visualizations.ControllerVisualizer method)
plot_costs_vs_generations() (mloop.visualizations.DifferentialEvolutionVisualizer method)
plot_cross_sections() (mloop.visualizations.GaussianProcessVisualizer method)
plot_density_surface() (mloop.visualizations.NeuralNetVisualizer method)
plot_hyperparameters_vs_run() (mloop.visualizations.GaussianProcessVisualizer method)
plot_losses() (mloop.visualizations.NeuralNetVisualizer method)
plot_parameters_vs_cost() (mloop.visualizations.ControllerVisualizer method)
plot_parameters_vs_run() (mloop.visualizations.ControllerVisualizer method)
plot_params_vs_generations() (mloop.visualizations.DifferentialEvolutionVisualizer method)
plot_surface() (mloop.visualizations.NeuralNetVisualizer method)
predict_biased_cost() (mloop.learners.GaussianProcessLearner method)
predict_cost() (mloop.learners.GaussianProcessLearner method)
(mloop.learners.NeuralNetLearner method)
predict_cost_gradient() (mloop.learners.NeuralNetLearner method)
predict_costs_from_param_array() (mloop.learners.NeuralNetLearner method)
predicted_best_cost (mloop.learners.GaussianProcessLearner attribute)
(mloop.learners.NeuralNetLearner attribute)
predicted_best_parameters (mloop.learners.GaussianProcessLearner attribute)
(mloop.learners.NeuralNetLearner attribute)
predicted_best_uncertainty (mloop.learners.GaussianProcessLearner attribute)
print_results() (mloop.controllers.Controller method)
(mloop.controllers.MachineLearnerController method)
put_params_and_get_cost() (mloop.learners.Learner method)
R
random_index_sample() (mloop.learners.DifferentialEvolutionLearner method)
RandomController (class in mloop.controllers)
RandomLearner (class in mloop.learners)
return_cross_sections() (mloop.visualizations.GaussianProcessVisualizer method)
(mloop.visualizations.NeuralNetVisualizer method)
run() (mloop.interfaces.Interface method)
(mloop.learners.DifferentialEvolutionLearner method)
(mloop.learners.GaussianProcessLearner method)
(mloop.learners.NelderMeadLearner method)
(mloop.learners.NeuralNetLearner method)
(mloop.learners.RandomLearner method)
(mloop.testing.FakeExperiment method)
(mloop.visualizations.GaussianProcessVisualizer method)
(mloop.visualizations.NeuralNetVisualizer method)
S
safe_cast_to_array() (in module mloop.utilities)
safe_cast_to_list() (in module mloop.utilities)
save_archive() (mloop.controllers.Controller method)
(mloop.learners.Learner method)
save_dict_to_file() (in module mloop.utilities)
save_generation() (mloop.learners.DifferentialEvolutionLearner method)
scaled_costs (mloop.learners.GaussianProcessLearner attribute)
(mloop.learners.NeuralNetLearner attribute)
set_bad_region() (mloop.testing.TestLandscape method)
set_default_landscape() (mloop.testing.TestLandscape method)
set_landscape() (mloop.testing.FakeExperiment method)
set_noise_function() (mloop.testing.TestLandscape method)
set_quadratic_landscape() (mloop.testing.TestLandscape method)
set_random_quadratic_landscape() (mloop.testing.TestLandscape method)
ShellInterface (class in mloop.interfaces)
show_all_default_visualizations() (in module mloop.visualizations)
show_all_default_visualizations_from_archive() (in module mloop.visualizations)
simplex_costs (mloop.learners.NelderMeadLearner attribute)
simplex_params (mloop.learners.NelderMeadLearner attribute)
start() (mloop.utilities.NullQueueListener method)
stop() (mloop.utilities.NullQueueListener method)
T
TestInterface (class in mloop.interfaces)
TestLandscape (class in mloop.testing)
txt_file_to_dict() (in module mloop.utilities)
U
update_archive() (mloop.learners.DifferentialEvolutionLearner method)
(mloop.learners.GaussianProcessLearner method)
(mloop.learners.Learner method)
(mloop.learners.NelderMeadLearner method)
(mloop.learners.NeuralNetLearner method)
update_bads() (mloop.learners.GaussianProcessLearner method)
(mloop.learners.NeuralNetLearner method)
update_bias_function() (mloop.learners.GaussianProcessLearner method)
update_search_params() (mloop.learners.GaussianProcessLearner method)
(mloop.learners.NeuralNetLearner method)
update_search_region() (mloop.learners.GaussianProcessLearner method)
(mloop.learners.NeuralNetLearner method)
W
wait_for_new_params_event() (mloop.learners.GaussianProcessLearner method)
(mloop.learners.NeuralNetLearner method)
worst_cost (mloop.learners.GaussianProcessLearner attribute)
(mloop.learners.NeuralNetLearner attribute)
worst_index (mloop.learners.GaussianProcessLearner attribute)
(mloop.learners.NeuralNetLearner attribute)
M-LOOP
Machine-Learning Online Optimization Package
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