baybe
Bayesian Optimization and Design of Experiments
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- landscape.py
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- utils.py
- custom-attribute-template.rst
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- AGENTS.md
- conf.py
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- lookup_withmissing.xlsx
- Basics_Header.md
- campaign.py
- recommenders.py
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- hybrid_space.py
- interpoint.py
- interpoint.svg
- linear_constraints.py
- Constraints_Discrete_Header.md
- custom_constraints.py
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- Custom_Surrogates_Header.md
- surrogate_params.py
- Mixtures_Header.md
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- traditional.py
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- Multi_Armed_Bandit_Header.md
- desirability.py
- Multi_Target_Header.md
- pareto.py
- pareto.svg
- continuous_space.py
- discrete_space.py
- hybrid_space.py
- Searchspaces_Header.md
- basic_serialization.py
- create_from_config.py
- Serialization_Header.md
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- permutation.py
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- surrogate_models.py
- __init__.py
- test_batch_constraint.py
- test_cardinality_constraint_continuous.py
- test_cardinality_constraint_discrete.py
- test_constrained_cartesian_product.py
- test_constraints_continuous.py
- test_constraints_discrete.py
- test_constraints_polars.py
- test_subset_constraints_hybrid.py
- __init__.py
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- test_examples.py
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- test_intervals.py
- test_kernels.py
- test_parameters.py
- test_searchspace.py
- __init__.py
- acquisition.py
- basic.py
- conditions.py
- constraints.py
- dataframes.py
- kernels.py
- metadata.py
- objectives.py
- parameters.py
- priors.py
- surrogates.py
- symmetries.py
- targets.py
- transformations.py
- utils.py
- test_shap.py
- test_affine_transformations.py
- test_dataframe_preprocessing.py
- test_metadata_integration.py
- test_minimization.py
- __init__.py
- test_acquisition_serialization.py
- test_campaign_serialization.py
- test_constraint_serialization.py
- test_dataframe_serialization.py
- test_deserialization.py
- test_json_serialization.py
- test_kernel_factory_serialization.py
- test_kernel_serialization.py
- test_meta_recommender_serialization.py
- test_metadata_serialization.py
- test_naive_hybrid_serialization.py
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- __init__.py
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- test_campaign.py
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# Installation Guide
1. Get the code
git clone https://github.com/emdgroup/baybe
Downloads the entire project code from GitHub to your computer.
cd baybe
Moves into the project folder you just downloaded.
2. Python
Easy RecommendedPrerequisites
pip install .
Installs the package published on PyPI directly β no need to clone the source.
python <μ€νν νμΌλͺ
>.py # READMEμμ μ νν μ€ν νμΌλͺ
μ νμΈνμΈμ
Runs the Python script (or module).
If it runs without errors and prints output in the terminal, it worked.
// repository documentation
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