tabular-demo
Demo step skill for tabular data.
- License 许可
- MIT
- 最近更新
- 2026-10-25
- Stars
- ★ 0
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01 前言 Front Matter
- name
- tabular-demo
- metadata
- { "beyondml": { "kind": "step", "modality": "tabular", "model_hint": "small" } }
- description
- Demo step skill for tabular data.
- allowed-tools
- read_file run_python finish_step
03 SKILL.md 正文
Fit a baseline model and report accuracy.
04 同仓库更多 Skills
leakage-demo
Demo knowledge skill about target leakage.
bad-name
Name does not match its folder.
train-test-split
How to split data so the score is honest.
tabular-features
Writes src/features.py with derived features (ratios, logs, interactions) and no target use. Usually right after tabular-eda. Check: run src/features.py, expects data/processed/features.csv.
tabular-export
Writes the shipped code (src/pipeline.py, src/train.py, src/predict.py) from the winning run and trains it. Usually right after evolve-search or tabular-ensemble. Check: run src/train.py, expects models/model.joblib, metric accuracy (classification) or r2 (regression) with a minimum.
tabular-ensemble
Combines the search's top models into a stacking ensemble. Only when the top genomes are within about 1% of each other. Check: metric cv_score with a minimum.