Hyperparameter Tuning using Optuna#368

Merged

SvenKlaassen merged 129 commits intomainfrom

Dec 3, 2025

Commits on Oct 13, 2025

add optuna tuning to package
JanTeichertKluge
committed

Commits on Oct 14, 2025

Merge branch 'main' into j-optuna
JanTeichertKluge
committed

Commits on Oct 15, 2025

update optuna impl.
JanTeichertKluge
committed

Commits on Oct 30, 2025

Commits on Nov 10, 2025

Commits on Nov 11, 2025

Commits on Nov 12, 2025

Commits on Nov 13, 2025

Commits on Nov 14, 2025

refactor _get_optuna_settings to simplify learner-specific settings retrieval and merge logic
SvenKlaassen
committed
validate optuna settings to ensure keys are dictionaries
SvenKlaassen
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skip doctest output for tuning results in DoubleML class
SvenKlaassen
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add random seed initialization in test_solve_quadratic_inequation for consistent results
SvenKlaassen
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remove unused import of _dml_tune_optuna in DoubleMLPLIV class
SvenKlaassen
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ensure all parameter spaces are returned
SvenKlaassen
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add missing newline in DMLOptunaResult docstring
SvenKlaassen
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update deprecation notice for tune specify version 0.13.0
SvenKlaassen
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enhance DMLOptunaResult docstring with detailed attributes and examples
SvenKlaassen
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simplify unit tests for optuna
JanTeichertKluge
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Merge branch 'j-optuna' of https://github.com/DoubleML/doubleml-for-py into j-optuna
JanTeichertKluge
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update tests for optuna tuning
JanTeichertKluge
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first implementation of tune_ml_models for APOS
JanTeichertKluge
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formatting
JanTeichertKluge
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test shared docstring for tune_ml_models method(s)
JanTeichertKluge
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remove fixed random_state from KFold in resolve_optuna_cv for more flexible cross-validation
SvenKlaassen
committed

Commits on Nov 17, 2025

Commits on Nov 26, 2025

Commits on Nov 27, 2025

Commits on Dec 3, 2025

update treatment assignment logic in DGP functions: update probability computation and overlap adjustments
SvenKlaassen
committed