{"library":"yellowbrick","type":"library","category":null,"description":"Yellowbrick is a Python library that extends the scikit-learn API with a suite of visual analysis and diagnostic tools for machine learning. It allows users to visualize model performance, feature relationships, and evaluate model selection processes directly within their existing scikit-learn workflows. The library is currently at version 1.5 and historically has had a release cadence of several major updates per year, though the latest release (v1.5) is from August 2022.","language":"python","status":"active","version":"1.5","tags":["machine-learning","visualization","scikit-learn","data-science","model-evaluation"],"last_verified":"Sat May 23","install":[{"cmd":"pip install yellowbrick","imports":["from yellowbrick.cluster import KElbowVisualizer","from yellowbrick.classifier import ROCAUC","from yellowbrick.regressor import ResidualsPlot","from yellowbrick.model_selection import FeatureImportances","visualizer.show()"]},{"cmd":"pip install yellowbrick[text]","imports":[]}],"homepage":"http://scikit-yb.org/","github":"https://github.com/DistrictDataLabs/yellowbrick","docs":"http://scikit-yb.org/","changelog":null,"pypi":"https://pypi.org/project/yellowbrick/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":13.2,"avg_import_s":5.98,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/yellowbrick/compatibility"}}