CategoricalNB

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.

mostly clear

Prerequisites

familiarity with naive Bayesbasic Pythonunderstanding of river's structure

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

50

Research direction

The issue requests implementing CategoricalNB for river's naive bayes module. Start by studying the scikit learn implementation (link provided). Review the discussion in river issue #774 for any design decisions. Then look at existing naive Bayes implementations in river, such as GaussianNB or MultinomialNB, to understand the expected API and structure. No existing PRs.