trimming

name	trimming
description	对异常样本执行截尾处理并评估偏差（outlier 异常值）
icon	🔪
allowedTools	["get_schema","profile_data","clean_data","query_data"]

截尾处理

先定义异常判据和业务合理范围，量化拟删除样本及其特征。仅在用户意图明确时执行，保留原始数据和可追溯输出；处理后报告样本损失及潜在选择偏差。

Tool routing

1. Use get_schema to identify the target table and candidate numeric columns.
2. Use profile_data to quantify outliers and candidate trim boundaries before modification.
3. Use clean_data with the trimming operation only when the user has confirmed the rule or bounds.
4. Use query_data after cleaning to verify row loss, boundary effects, and key metric changes.

Implementation reference

• Tool entries: agent/tools/business/data.py::_tool_profile_data, agent/tools/business/data.py::_tool_clean_data
• Profiling implementation: Function/Clean/data_profile.py
• Trimming implementation: Function/Clean/trimming.py