{"library":"optuna-integration","type":"library","category":null,"description":"Optuna Integration is a Python package that provides extended functionalities for Optuna, an automatic hyperparameter optimization software framework, in combination with various third-party machine learning libraries such as PyTorch, scikit-learn, and TensorFlow. It allows users to seamlessly integrate Optuna's powerful optimization capabilities and pruning mechanisms into their existing ML workflows. The library is currently at version 4.8.0, actively maintained, and follows Optuna's release cadence, typically with multiple releases per major Optuna version.","language":"python","status":"active","version":"4.8.0","tags":["hyperparameter-optimization","machine-learning","deep-learning","optuna","scikit-learn","pytorch","tensorflow","lightgbm"],"install":[{"cmd":"pip install optuna-integration","imports":["from optuna_integration.sklearn import OptunaSearchCV","from optuna_integration.lightgbm import LightGBMTuner"]},{"cmd":"pip install optuna-integration[sklearn]","imports":[]},{"cmd":"pip install optuna-integration[lightgbm]","imports":[]}],"homepage":null,"github":"https://github.com/optuna/optuna-integration","docs":null,"changelog":null,"pypi":"https://pypi.org/project/optuna-integration/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":67,"avg_install_s":11.9,"avg_import_s":1.6,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/optuna-integration/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}