逻辑回归
SkillAI & modelsLets your agent run logistic regression to classify data into two or more categories.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the 逻辑回归 skill
About this capability
Performs binary or multiclass logistic regression analysis (logistic regression classification).
What this skill tells your AI
The instructions your AI receives, as published by zafer-liu/data-analysis-agent in skills/logistic/SKILL.md and read by ahel’s review.
确认目标编码、正类定义和特征，检查泄漏、共线性及类别不平衡。报告验证集指标、系数或优势比及不确定性，并把模型结论翻译成业务含义。
Tool routing
- Use
get_schemato identify the target, positive-class definition, features, and source table. - Use
query_datato verify class balance, coding, missingness, and candidate feature fields. - Use
run_analysiswithanalysis_name="Logistic_Regression"for the actual model computation. - Use
generate_charton ROC, feature importance, or result tables afterrun_analysissucceeds.
Implementation reference
- Tool entry:
agent/tools/business/data.py::_tool_run_analysis - Analysis registry:
Function/Analyze/registry.py - Analysis implementation:
Function/Analyze/Logistic_Regression/analyze.py - Chart implementation:
Function/Charts_generation/chart_generate.py
Signals
- GitHub stars
- 3k
- Forks
- 221
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
logistic- Source
- github.com/zafer-liu/data-analysis-agent