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SMAC3 Bayesian Optimisation Integration [🆕 Search Method] 🥉 #212

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SMAC3 Bayesian Optimisation Integration [🆕 Search Method] 🥉 #212

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Commits on Dec 7, 2023

  1. refactor(configuration): add ConfigSpace 

    + Custom config space is now utilising ConfigSpace
+ Classification.py is now divided in distinct Classifiers and Preprocesors for better understand and managmeent
+ Thorough documentation for users to add/modify anything
    @simonprovost
    simonprovost committed Dec 7, 2023
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  2. refactor(gama): update internal system to be ConfigSpace compliant

    @simonprovost
    simonprovost committed Dec 7, 2023
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  3. refactor(configuration): update regressors to be ConfigSpace compliant

    @simonprovost
    simonprovost committed Dec 7, 2023
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Commits on Dec 11, 2023

  1. refactor(tests): update tests to be ConfigSpace compliant

    @simonprovost
    simonprovost committed Dec 11, 2023
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  2. refactor(tests): update tests to be ConfigSpace compliant

    @simonprovost
    simonprovost committed Dec 11, 2023
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  3. feat(evaluation_library): add is_evaluated candidate

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    simonprovost committed Dec 11, 2023
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  4. refactor(search_methods): update random search uniqueness

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    simonprovost committed Dec 11, 2023
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  5. refactor(search_methods): update EA uniqueness

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    simonprovost committed Dec 11, 2023
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  6. refactor(search_methods): update ASHA uniqueness

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    simonprovost committed Dec 11, 2023
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  7. refactor(genetic_programming): add get_search_space 

    Get Search Space allows any search method to have access to the entire search space if needed.
    @simonprovost
    simonprovost committed Dec 11, 2023
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  8. feat(search_methods): add SMAC Bayesian Optimisation

    @simonprovost
    simonprovost committed Dec 11, 2023
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  9. feat(tests): add BO gama_classifier's tests

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    simonprovost committed Dec 11, 2023
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