run-autogluon
CommunityMaster AutoGluon Tabular workflows end-to-end
System Documentation
What problem does it solve?
Consolidated AutoGluon skill covering end-to-end TabularPredictor workflow (constructor, fit, predict_proba, fit_summary, save/load, set_model_best), binary threshold calibration and setting, sklearn wrapper integration, and monotonic constraints. Use for any AutoGluon Tabular questions, training/ensembling configuration, inference/probabilities, threshold tuning, deployment persistence, or sklearn interoperability.
Core Features & Use Cases
- End-to-end AutoGluon TabularPredictor workflow orchestration: model construction, training, evaluation, calibration, and persistence.
- Binary threshold calibration and set best model workflows plus sklearn wrapper integration for deployment and interoperability.
- Real-world use: train a predictor on a tabular dataset, evaluate with fit_summary/leaderboard, calibrate decision thresholds, and save the model for production.
Quick Start
Train and evaluate an AutoGluon TabularPredictor end-to-end on your dataset, then calibrate thresholds, wrap for sklearn usage if needed, and persist the best model.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: run-autogluon Download link: https://github.com/crossxwill/IML4Finance/archive/main.zip#run-autogluon Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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