automl/auto-sklearn

How to give sample weights?

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#288 创建于 2017年5月24日

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 (24 评论) (6 反应) (0 负责人)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.

贡献者指南

技术栈
python
领域
datamachine learning
议题类型
feature
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
3
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
3-5 days
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
stale
清晰度议题是否清楚说明期望改动、验收标准和下一步。
mostly clear
前置要求
understanding of auto sklearn APIfamiliarity with scikit learn sample weight
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
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.