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pmlb-results-summary

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批量推理结果一键汇总对比

Data & Analytics#python#pmlb#results summary#r2 statistics#dataset grouping#recovery rate#csv aggregation
AuthorBeiBei-Clic
Version1.0.0
Installs0

System Documentation

What problem does it solve?

解决将已有的 PMLB 批量推理结果 CSV 进行按数据集族（Feynman、Strogatz、Black-box）汇总统计的问题，帮助你快速得到可比的整体指标与复现实验的汇总口径。

Core Features & Use Cases

  • Dataset-group 汇总：按 dataset 前缀将结果分为 Feynman（feynman_）、Strogatz（strogatz_）与其余 Black-box，并按固定口径计算每组指标。
  • 稳健统计口径：对 r2 的负值与 nan/inf/-inf 按 0 处理，保证无异常时也能稳定复现；同时仅在符合条件的样本上统计 complexity 与推理时间。
  • 输出与可迁移说明：生成新的 summary CSV，并把默认运行命令以短说明形式补充到 README 便于团队共享与复用。

Quick Start

让它把 experiments/pmlb/results/pmlb_results.csv 汇总为 experiments/pmlb/results/pmlb_results_summary.csv，并同步把一行简短说明写入 README。

Dependency Matrix

Required Modules

None required

Components

Standard package

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Please help me install this Skill:
Name: pmlb-results-summary
Download link: https://github.com/BeiBei-Clic/ai-skills/archive/main.zip#pmlb-results-summary

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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