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ray-project / tune-sklearn

A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
https://docs.ray.io/en/master/tune/api_docs/sklearn.html
Apache License 2.0
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No experiment checkpoint file of form 'experiment_state-*.json' was found #274

Closed jmakov closed 10 months ago

jmakov commented 11 months ago

Calling tune-sklear from pycaret throws exception:

model_primary_tuned = experiment1.tune_model(model_primary_best, 
                                             choose_better=True,
                                             early_stopping=True,
                                             n_iter=2,
                                             optimize="Recall",
                                             search_algorithm="bayesian",
                                             search_library="tune-sklearn")

Pycaret issue: https://github.com/pycaret/pycaret/issues/3765

justinvyu commented 10 months ago

This has been fixed by https://github.com/ray-project/tune-sklearn/pull/272. A new release with the fix should be out soon.