Per-label regressor

Description

Contributor guide

Tech stack

python

Domain

machine 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.

half day

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.

clear

Prerequisites

PythonRiver library basicsMulti output regression concepts

Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.

65

Research direction

Study the scikit learn MultiOutputRegressor implementation for design patterns. Examine the existing regressors in the river library, such as the base Regressor class and any multi output models already present. The implementation likely involves fitting multiple regressors per output. The new class should be placed in a suitable module in the river repository.