clinamen2 package
Subpackages
- clinamen2.cmaes package
- Submodules
- clinamen2.cmaes.cmaes_criteria module
- clinamen2.cmaes.params_and_state module
AlgorithmParameters
AlgorithmParameters.c_1
AlgorithmParameters.c_c
AlgorithmParameters.c_m
AlgorithmParameters.c_mu
AlgorithmParameters.c_sigma
AlgorithmParameters.d_sigma
AlgorithmParameters.dimension
AlgorithmParameters.initial_step_size
AlgorithmParameters.mu
AlgorithmParameters.pop_size
AlgorithmParameters.random_seed
AlgorithmParameters.weights
AlgorithmState
calculate_new_mean()
create_init_algorithm_state()
create_resample_and_evaluate()
create_sample_and_evaluate()
create_sample_and_run()
create_sample_and_sequential_evaluate()
create_sample_from_state()
create_update_algorithm_state()
init_default_algorithm_parameters()
rank_one_update()
- clinamen2.cmaes.termination_criterion module
- Module contents
- clinamen2.runner package
- clinamen2.utils package
- Submodules
- clinamen2.utils.bipop_restart module
- clinamen2.utils.file_handling module
- clinamen2.utils.jax_data module
- clinamen2.utils.lennard_jones module
- clinamen2.utils.neuralil_evaluation module
- clinamen2.utils.plot_functions module
CMAPlotHelper
CMAPlotHelper.classify_additional_information()
CMAPlotHelper.get_data_from_generations()
CMAPlotHelper.plot_additional_information_per_generation()
CMAPlotHelper.plot_additional_per_individual()
CMAPlotHelper.plot_loss_boxplots()
CMAPlotHelper.plot_loss_per_generation()
CMAPlotHelper.plot_loss_with_errorbars()
CMAPlotHelper.plot_mean_loss_per_generation()
CMAPlotHelper.plot_stepsize_ax2()
- clinamen2.utils.script_functions module
- clinamen2.utils.structure_setup module
AnchorToImmutable
DofPipeline
DofToAtoms
FilterEvalWorkflow
bias_covariance_matrix_gauss()
bias_covariance_matrix_r()
create_apply_weights()
create_filter_eval_workflow()
create_split_atom()
create_transform_dof()
dir_context()
get_distances_from_position()
get_distances_from_scaled_position()
place_atoms_packmol()
place_atoms_random_cube()
place_atoms_random_sphere()
prepare_dof_and_pipeline()
- Module contents
Submodules
clinamen2.test_functions module
This module contains auxiliary test functions as defined in table 1 of
- [1] O. Krause, D. R. Arbonès, C. Igel, “CMA-ES with Optimal Covariance
Update and Storage Complexity”, part of [2], 2016.
- [2] D. Lee, M. Sugiyama, U. Luxburg, I. Guyon, R. Garnett, “Advances
in Neural Information Processing Systems 29, 2016.
- clinamen2.test_functions.create_ackley_function()[source]
Create Ackley test function.
Args:
- Return type:
Callable
- Returns:
The Ackley test function.
- clinamen2.test_functions.create_cigar_function()[source]
Create cigar test function.
Args:
- Return type:
Callable
- Returns:
The Cigar test function.
- clinamen2.test_functions.create_diffpowers_function()[source]
Different Powers test function.
Args:
- Return type:
Callable
- Returns:
The Diffpowers test function.
- clinamen2.test_functions.create_discus_function()[source]
Create discus test function.
Args:
- Return type:
Callable
- Returns:
The Discus test function.
- clinamen2.test_functions.create_ellipsoid_function()[source]
Create ellipsoid test function.
Args:
- Return type:
Callable
- Returns:
The Ellipsoid test function.
Module contents
Copyright 2023-2025 The Clinamen2 contributors
Licensed under the Apache License, Version 2.0 (the “License”); you may not use this file except in compliance with the License. You may obtain a copy of the License at
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.