scikit-learn-contrib/category_encoders

Metadata for encoders

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#166 opened on Jan 5, 2019

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 (10 comments) (2 reactions) (0 assignees)Python (397 forks)batch import
enhancementhelp wanted

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Description

It should be possible to programmatically differentiate between encoders that:

  1. Do not require any target during fitting (like OneHotEncoder).
  2. Require some target during fitting (like TargetEncoder).
  3. Require binary target during fitting (like WOE).

This information would be useful for:

  1. Parameterized tests.
  2. Users that wonder, which encoder they may use.

Proposed implementation: Like in scikit-learn.

Contributor guide

Research direction
Add a property or attribute to encoder classes to indicate required target type, following scikit learn's convention.
Tech stack
python
Domain
data
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
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
Pythonscikit learn
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
80