emukit
A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
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최종 버전 다운로드 (.zip)- codecov.yml
- docs.yml
- format.yml
- tests.yml
- dependabot.yml
- PULL_REQUEST_TEMPLATE.md
- Emukit_vision.svg
- emukit.bayesian_optimization.acquisitions.rst
- emukit.bayesian_optimization.interfaces.rst
- emukit.bayesian_optimization.loops.rst
- emukit.bayesian_optimization.rst
- emukit.benchmarking.loop_benchmarking.rst
- emukit.benchmarking.rst
- emukit.core.acquisition.rst
- emukit.core.initial_designs.rst
- emukit.core.interfaces.rst
- emukit.core.loop.rst
- emukit.core.optimization.rst
- emukit.core.rst
- emukit.experimental_design.acquisitions.rst
- emukit.experimental_design.interfaces.rst
- emukit.experimental_design.rst
- emukit.model_wrappers.rst
- emukit.multi_fidelity.kernels.rst
- emukit.multi_fidelity.models.rst
- emukit.multi_fidelity.rst
- emukit.quadrature.acquisitions.rst
- emukit.quadrature.interfaces.rst
- emukit.quadrature.kernels.rst
- emukit.quadrature.loop.rst
- emukit.quadrature.measures.rst
- emukit.quadrature.methods.rst
- emukit.quadrature.rst
- emukit.rst
- emukit.samplers.rst
- emukit.sensitivity.monte_carlo.rst
- emukit.sensitivity.rst
- emukit.test_functions.multi_fidelity.rst
- emukit.test_functions.quadrature.rst
- emukit.test_functions.rst
- emukit.test_functions.sensitivity.rst
- modules.rst
- api.rst
- conf.py
- emukit_structure.rst
- index.rst
- installation.rst
- Makefile
- README.md
- tutorials.rst
- usage.rst
- vision.rst
- __init__.py
- entropy_search.py
- expected_improvement.py
- local_penalization.py
- log_acquisition.py
- max_value_entropy_search.py
- negative_lower_confidence_bound.py
- probability_of_feasibility.py
- probability_of_improvement.py
- __init__.py
- models.py
- __init__.py
- bayesian_optimization_loop.py
- cost_sensitive_bayesian_optimization_loop.py
- unknown_constraint_bayesian_optimization_loop.py
- __init__.py
- epmgp.py
- local_penalization_calculator.py
- __init__.py
- benchmark_plot.py
- benchmark_result.py
- benchmarker.py
- metrics.py
- random_search.py
- __init__.py
- __init__.py
- acquisition.py
- acquisition_per_cost.py
- integrated_acquisition.py
- __init__.py
- base.py
- latin_design.py
- random_design.py
- sobol_design.py
- __init__.py
- models.py
- __init__.py
- candidate_point_calculators.py
- loop_state.py
- model_updaters.py
- outer_loop.py
- stopping_conditions.py
- user_function.py
- user_function_result.py
- __init__.py
- acquisition_optimizer.py
- anchor_points_generator.py
- context_manager.py
- gradient_acquisition_optimizer.py
- local_search_acquisition_optimizer.py
- multi_source_acquisition_optimizer.py
- optimizer.py
- random_search_acquisition_optimizer.py
- __init__.py
- bandit_parameter.py
- categorical_parameter.py
- constraints.py
- continuous_parameter.py
- discrete_parameter.py
- encodings.py
- event_handler.py
- parameter.py
- parameter_space.py
- __init__.py
- dnlcb.py
- emukit_test_brownian.ipynb
- mountain_car.py
- mountain_car_simulator.ipynb
- __init__.py
- continuous_fidelity_entropy_search.py
- example.py
- fabolas_loop.py
- fabolas_model.py
- fmin.py
- __init__.py
- enums.py
- optimization_loops.py
- single_objective_bayesian_optimization.py
- unknown_constraint_bayesian_optimization.py
- __init__.py
- bohamiann.py
- random_forest.py
- __init__.py
- baseline_model_wrappers.py
- benchmarking_examples.ipynb
- malaria_data_example.ipynb
- multi_fidelity_deep_gp.py
- README.md
- __init__.py
- acquisition_function.py
- expectation_acquisition.py
- thompson_sampling_acquisition.py
- __init__.py
- ep_batch_comparison.py
- mcmc_batch_comparison.py
- sexpgp_comparison.stan
- vi_batch_comparison.py
- __init__.py
- bayesian_optimization.py
- gp_models.py
- util.py
- __init__.py
- installation.txt
- minimum_working_example.py
- README.md
- __init__.py
- architecture.py
- meta_fcnet.py
- meta_forrester.py
- meta_surrogates.py
- meta_svm.py
- meta_xgboost.py
- __init__.py
- performance_assessment.py
- train_meta_model.py
- __init__.py
- base_models.py
- gillespie_analysis.py
- gillespie_base.py
- seir_gillespie.py
- sir_gillespie.py
- Emukit-task-spread-of-disease-with-seir-model.ipynb
- __init__.py
- vanilla_bq_loop_with_rbf.py
- __init__.py
- README.md
- __init__.py
- integrated_variance.py
- model_variance.py
- __init__.py
- models.py
- __init__.py
- experimental_design_loop.py
- __init__.py
- gpy_model_wrappers.py
- gpy_quadrature_wrappers.py
- simple_gp_model.py
- sklearn_model_wrapper.py
- __init__.py
- linear_multi_fidelity_kernel.py
- __init__.py
- linear_model.py
- non_linear_multi_fidelity_model.py
- __init__.py
- convert_lists_to_array.py
- __init__.py
- mutual_information.py
- squared_correlation.py
- uncertainty_sampling.py
- __init__.py
- base_gp.py
- standard_kernels.py
- __init__.py
- quadrature_brownian.py
- quadrature_kernels.py
- quadrature_matern12.py
- quadrature_matern32.py
- quadrature_matern52.py
- quadrature_rbf.py
- __init__.py
- quadrature_point_calculators.py
- __init__.py
- bayesian_monte_carlo_loop.py
- vanilla_bq_loop.py
- wsabil_loop.py
- __init__.py
- domain.py
- gaussian_measure.py
- integration_measure.py
- lebesgue_measure.py
- __init__.py
- bounded_bq_model.py
- vanilla_bq.py
- warped_bq_model.py
- warpings.py
- wsabi.py
- __init__.py
- typing.py
- __init__.py
- mcmc_sampler.py
- __init__.py
- monte_carlo_sensitivity.py
- __init__.py
- __init__.py
- borehole.py
- branin.py
- currin.py
- hartmann.py
- park.py
- __init__.py
- baselines.py
- circular_gaussian.py
- hennig1D.py
- hennig2D.py
- sombrero2D.py
- __init__.py
- ishigami.py
- __init__.py
- branin.py
- forrester.py
- non_linear_sin.py
- sixhumpcamel.py
- __init__.py
- __version__.py
- test_constrained_loop.py
- test_create_bayesian_optimization_loop.py
- test_local_penalization_loop.py
- test_optimization_with_categorical_variables.py
- test_single_objective_bayesian_optimization.py
- test_unknown_constraints_bayesian_optimization.py
- test_benchmarker.py
- test_experimental_design_with_categorical.py
- test_multi_source_experimental_design.py
- __init__.py
- test_continuous_entropy_search.py
- test_fabolas_model.py
- test_bohamiann.py
- test_random_forest.py
- test_sklearn_model_wrapper.py
- test_notebooks.py
- __init__.py
- test_performance_assessment.py
- test_bayesian_monte_carlo_loop.py
- test_vanilla_bq_loop.py
- test_wsabil_loop.py
- README.md
- Emukit-tutorial-basic-use-of-the-library.ipynb
- Emukit-tutorial-bayesian-optimization-benchmark.ipynb
- Emukit-tutorial-bayesian-optimization-context-variables.ipynb
- Emukit-tutorial-bayesian-optimization-external-objective-evaluation.ipynb
- Emukit-tutorial-bayesian-optimization-integrating-model-hyperparameters.ipynb
- Emukit-tutorial-Bayesian-optimization-introduction.ipynb
- Emukit-tutorial-Bayesian-quadrature-introduction.ipynb
- Emukit-tutorial-constrained-optimization.ipynb
- Emukit-tutorial-custom-model.ipynb
- Emukit-tutorial-experimental-design-introduction.ipynb
- Emukit-tutorial-how-to-write-a-notebook.ipynb
- Emukit-tutorial-intro.ipynb
- Emukit-tutorial-Max-Value-Entropy-Search-Example.ipynb
- Emukit-tutorial-multi-fidelity-bayesian-optimization.ipynb
- Emukit-tutorial-multi-fidelity-MUMBO-Example.ipynb
- Emukit-tutorial-multi-fidelity.ipynb
- Emukit-tutorial-parallel-eval-of-obj-fun.ipynb
- Emukit-tutorial-select-neural-net-hyperparameters.ipynb
- Emukit-tutorial-sensitivity-montecarlo.ipynb
- index.ipynb
- doc_requirements.txt
- integration_test_requirements.txt
- requirements.txt
- test_requirements.txt
- __init__.py
- test_bayesian_optimization_loop.py
- test_constrained_loop.py
- test_cost_sensitive_bayesian_optimization.py
- test_entropy_search.py
- test_epmgp.py
- test_local_penalization.py
- test_local_penalization_calculator.py
- test_max_value_entropy_search.py
- test_mean_plugin_expected_improvement.py
- test_multipoint_expected_improvement.py
- test_benchmark_plot.py
- test_benchmark_result.py
- test_metrics.py
- test_random_search.py
- conftest.py
- test_anchor_points_generator.py
- test_context_manager.py
- test_gradient_acquisition_optimizer.py
- test_local_search_acquisition_optimizer.py
- test_multi_source_acquisition_optimizer.py
- test_optimizer.py
- test_random_search_acquisition_optimizer.py
- test_trust_region_constrained_optimizer.py
- test_acquisition.py
- test_categorical_parameter.py
- test_constraints.py
- test_encodings.py
- test_initial_designs.py
- test_loop_state.py
- test_loop_steps.py
- test_multi_source_optimizer.py
- test_outer_loop.py
- test_parameter_space.py
- test_parameters.py
- test_stopping_conditions.py
- test_user_function.py
- test_simple_gp_model.py
- __init__.py
- test_batch_experimental_design.py
- test_experimental_design_loop.py
- test_integrated_variance.py
- __init__.py
- test_gpy_wrappers_quadrature.py
- test_convert_list_to_array.py
- test_kernels.py
- test_models.py
- test_non_linear_models.py
- ground_truth_integrals_methods.py
- ground_truth_integrals_qkernel.py
- test_domain.py
- test_measures.py
- test_quadrature_acquisitions.py
- test_quadrature_kernels.py
- test_quadrature_models.py
- test_warpings.py
- utils.py
- test_emukit_sensitivity.py
- test_baselines.py
- test_branin.py
- test_circular_gaussian.py
- test_forrester.py
- test_hennig1d.py
- test_hennig2d.py
- test_ishigami_function.py
- test_multi_fidelity_functions.py
- test_nonlinear_sin.py
- test_sixhumpcamel.py
- test_sombrero2d.py
- conftest.py
- test_acquisitions.py
- README.md
- .gitattributes
- .gitignore
- .readthedocs.yml
- AGENTS.md
- CHANGELOG.md
- CLAUDE.md
- CODE_OF_CONDUCT.md
- CONTRIBUTING.md
- LICENSE
- MANIFEST.in
- NOTICE
- pyproject.toml
- README.md
- setup.cfg
- setup.py
// repository documentation
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