{"library":"aplr","type":"library","category":null,"description":"APLR (Automatic Piecewise Linear Regression) is a Python library for building predictive and interpretable regression or classification machine learning models. It implements the Automatic Piecewise Linear Regression methodology, often achieving predictive accuracy comparable to tree-based methods while offering smoother, more interpretable predictions. The library is actively maintained with frequent releases, currently at version 10.22.0, and supports Python versions 3.8 and above.","language":"python","status":"active","version":"10.22.0","tags":["machine learning","regression","classification","interpretable ML","piecewise linear","sklearn-compatible"],"last_verified":"Sun May 24","install":[{"cmd":"pip install aplr","imports":["from aplr import APLRRegressor","from aplr import APLRClassifier","from aplr import APLRTuner"]},{"cmd":"pip install aplr[plots]","imports":[]}],"homepage":null,"github":"https://github.com/ottenbreit-data-science/aplr","docs":null,"changelog":null,"pypi":"https://pypi.org/project/aplr/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":10.2,"avg_import_s":0.9,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/aplr/compatibility"}}