{"library":"benchpots","type":"library","category":null,"description":"A Python toolbox for benchmarking machine learning on partially-observed time series. Supports preprocessing of 170+ open-source datasets including UCR&UEA, PhysioNet, air quality, electricity, and traffic data. Current version is 0.5, with active development on GitHub.","language":"python","status":"active","version":"0.5","tags":["time-series","benchmarking","datasets","missing-data","preprocessing"],"last_verified":"Mon Apr 27","install":[{"cmd":"pip install benchpots","imports":["from benchpots.datasets import preprocess_physionet2012","from benchpots.datasets import preprocess_ucr_uea"]}],"homepage":"https://pypots.com","github":"https://github.com/WenjieDu/BenchPOTS","docs":"https://docs.pypots.com","changelog":null,"pypi":"https://pypi.org/project/benchpots/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}