{"skill":{"slug":"automl-skill","displayName":"Automl Skill","summary":"AutoML 自动化机器学习技能 | Automated Machine Learning Skill. 基于 PyCaret 进行低代码机器学习建模，支持分类、回归、聚类、异常检测、时间序列预测、自然语言处理和关联规则挖掘等任务。 未来将集成更多 AutoML 库（如 AutoGluon、FLAML 等）。 当...","tags":{"latest":"1.2.0"},"stats":{"comments":0,"downloads":641,"installsAllTime":5,"installsCurrent":5,"stars":2,"versions":2},"createdAt":1773677977955,"updatedAt":1773701057705},"latestVersion":{"version":"1.2.0","createdAt":1773684380015,"changelog":"Version 1.2.0 of automl-skill adds statistical inference capabilities and workflow documentation improvements.\n\n- Expanded trigger keywords and description to include statistical testing, significance analysis, and A/B testing.\n- Added new documentation section demonstrating statistical inference, hypothesis testing, and model diagnostics using statsmodels and scipy.\n- Enhanced example workflows for regression, classification, and time series to include data preprocessing and feature engineering.\n- Detailed preprocessing, feature transformation, and model training steps for end-to-end usage clarity.","license":"MIT-0"},"metadata":null,"owner":{"handle":"yejinlei","userId":"s1764y37qa3bnbheme5ejcvb2x83h026","displayName":"yejinlei","image":"https://avatars.githubusercontent.com/u/1418455?v=4"},"moderation":null}