Hoeffding Races

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.

1-3 hours

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

Knowledge of online machine learningBasic PythonUnderstanding of model selection

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

45

Research direction

Read the attached paper (NIPS 1993) to understand the Hoeffding Races algorithm. Review the river library's existing model selection module (e.g., river/ensemble/) to identify the code patterns. Examine the issue comments for additional context from maintainers. Implement the algorithm as a new class in the appropriate module following the library's conventions.