automl/auto-sklearn

How to give sample weights?

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#288 建立於 2017年5月24日

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 (24 留言) (6 反應) (0 負責人)Python (7,270 star) (1,265 fork)batch import
Good first issueNeed contributorenhancement

描述

Is there a way to give sample weights to the fit method? I see that the metrics can take it as an argument, but the fit method doesn't.

貢獻者指南

技術棧
python
領域
datamachine 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。
3-5 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。
stale
清晰度議題是否清楚說明預期改動、驗收標準和下一步。
mostly clear
前置要求
understanding of auto sklearn APIfamiliarity with scikit learn sample weight
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
The issue requests adding sample weights support to the fit method. Review the 24 comments for design discussions and potential pitfalls. The main task is to add a 'sample weight' parameter to the fit method in the main AutoML class and propagate it to underlying estimators. Check if any existing metrics already handle sample weights to ensure consistency. Look at the codebase in auto sklearn/estimators/ or similar to understand where to integrate.