automl/auto-sklearn

How to give sample weights?

Open

#288 opened on May 24, 2017

View on GitHub
 (24 comments) (6 reactions) (0 assignees)Python (7,270 stars) (1,265 forks)batch import
Good first issueNeed contributorenhancement

Description

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.

Contributor guide

Tech stack
python
Domain
datamachine learning
Issue type
feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
3-5 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
mostly clear
Prerequisites
understanding of auto sklearn APIfamiliarity with scikit learn sample weight
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
60
Research direction
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.
How to give sample weights? · automl/auto-sklearn#288 | Good First Issue