{"library":"hyperopt","type":"library","category":null,"description":"Hyperopt is a Python library for distributed asynchronous hyperparameter optimization, enabling optimization over awkward search spaces including real-valued, discrete, and conditional dimensions. It uses Bayesian optimization algorithms like Tree of Parzen Estimators (TPE) and Random Search to efficiently find optimal hyperparameters for machine learning models. The current PyPI version is 0.2.7.","language":"python","status":"deprecated","version":"0.2.7","tags":["hyperparameter optimization","machine learning","bayesian optimization","distributed computing"],"install":[{"cmd":"pip install hyperopt","imports":["from hyperopt import fmin"]}],"homepage":"https://hyperopt.github.io/hyperopt","github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/hyperopt/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":80,"avg_install_s":9.2,"avg_import_s":3.13,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/hyperopt/compatibility"},"provenance":{"verified_status":"import_fail","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Fri Jul 10","install_tag":null}}