{"data":{"full_name":"Freemanzxp/GBDT_Simple_Tutorial","name":"GBDT_Simple_Tutorial","description":"python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision Trees","stars":737.0,"forks":196.0,"language":"Python","license":"Apache-2.0","archived":0.0,"subcategory":"gradient-boosting-frameworks","last_pushed_at":"2019-06-15T06:33:32+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":0.0,"adoption_score":10.0,"maturity_score":16.0,"community_score":25.0,"quality_score":51.0,"quality_tier":"established","risk_flags":"['stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-06T10:58:16.161923+00:00"}}