One-hot encoder: support per-feature config for top_n param

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Description

Contributor guide

Research direction

Explore the existing OneHotEncoder implementation in evalml/pipelines/components/transformers/encoders.py, understand how top n is currently applied globally, and design a way to accept per feature dictionaries (e.g., feature name > top n) in the component's init or fit method.

Tech stack

python

Domain

backenddata

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.

Active

ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.

Clear

Prerequisites

PythonGit

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

65