Generalized Linear Regression (Binomial and Poisson) Prototype

Open
#685 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
10/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
python
Domain
machine-learning

Research direction

The issue has no body, referenced files, tests, or acceptance criteria. Start by examining Orbit's existing Python forecasting model entry points and related regression tests; the work is complete only when the intended binomial and Poisson prototype scope and validation criteria are defined and implemented.

Written by the indexing model from the issue text.

Description

new models / methods

This issue has no description.

Dominant language
Python
Stars
2.1k
Forks
147
No merged PRs in 30d

Contributor guide

Open the contributing guide

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.

More from uber/orbit

All issues in uber/orbit

Similar issues

More Python issues

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.