online-ml/river

Per-label regressor

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#1,409 opened on Nov 1, 2023

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 (4 comments) (0 reactions) (0 assignees)Python (553 forks)batch import
Good first issueNew feature

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Description

Contributor guide

Research direction
Implement a PerOutputRegressor class that wraps a single regressor and applies it independently to each output, similar to sklearn's MultiOutputRegressor but for online learning. Study river's existing multi output support and the base estimator API.
Tech stack
python
Domain
apibackend
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.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Fresh
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
Pythonscikit learnonline machine learning concepts
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
65