pydata / pydata/patsy

Add an over-parametrized dummy coding scheme

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#60 3 comments 0 reactions 0 assignees View on GitHub

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statsmodels-request well-defined-task-definitely-do-this
Dominant language
Python
Stars
990
Forks
106
Avg merge
7d 34m
Merged PRs (30d)
1

Description

To provide one way for users who definitely want overparametrized dummy coding to just do

C(myfactor, DummyDammit)

or whatever.

[Request from Josef, talked over at PyCon]

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by locating how C(myfactor, ...) and the existing categorical coding schemes are implemented. Determine the intended API and behavior for an explicitly selectable over-parametrized dummy scheme, then add coverage showing that C(myfactor, DummyDammit) produces the expected coding.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
25/100

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