rasbt/mlxtend

create_counterfactual enhancements (minimization method and fixed features)

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#1,029 建立於 2023年4月18日

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 (1 留言) (0 反應) (0 負責人)Python (4,676 star) (839 fork)batch import
Enhancementeasyhelp wanted

描述

Discussed in https://github.com/rasbt/mlxtend/discussions/1028

Originally posted by farbodr April 17, 2023 I have a couple of questions about create_counterfactual?

  1. On a small table with the shape of (461, 75) it took about 22 min to return one row. Is there any way to speed this up?
  2. Is there any way to limit the features it uses? In other words, can I freeze some features and generate counterfactuals only for some of the features? For instance, in a healthcare use case, we know certain features can not be changed, like a health condition, but there are other features that can be changed that can impact the prediction.

Thanks, FR

貢獻者指南

技術棧
python
領域
machine learning
議題類型
feature
難度面向新貢獻者的預計實作難度，1 表示很小改動，5 表示專家級工作。
3
預計時間有經驗貢獻者完成調查、實作、測試並準備 pull request 的粗略時間範圍。
1-2 days
活動狀態議題目前的可參與程度：新鮮、活躍、陳舊、阻塞或等待維護者輸入。
fresh
清晰度議題是否清楚說明預期改動、驗收標準和下一步。
clear
前置要求
Understanding of counterfactual explanationsPython experience
新手友善度1-100 的估計分數，表示該議題對首次貢獻者的友善程度。
60
研究方向
Investigate the current `create counterfactual` function in mlxtend to understand its algorithm and structure. Look at the linked discussion (https://github.com/rasbt/mlxtend/discussions/1028) for additional context on desired enhancements. The issue asks for two separate improvements: a minimization method to speed up computation, and the ability to freeze certain features. Consider researching existing counterfactual generation methods (e.g., feature masking) and implement them as optional parameters.