scikit-learn-contrib/category_encoders

Feature request: min_group_size for other category encoders, e.g. one hot

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#279 opened on Oct 30, 2020

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 (11 comments) (2 reactions) (1 assignee)Python (397 forks)batch import
enhancementgood first issue

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Description

CountEncoder() has a min_group_size parameter that sets a minimum number of obs in a group required in order not for the group to be lumped together with other small groups. It would be nice to have this for the other encoder classes.

Contributor guide

Research direction
Examine the CountEncoder implementation of min group size and adapt it for other encoders such as OneHotEncoder, BinaryEncoder, etc. Ensure compatibility with the base class and existing tests.
Tech stack
python
Domain
datamachine 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.
1-2 days
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
Pythonscikit learn
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
60