openml / openml/server-api

Evaluation Endpoints

Open
#47 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

meta Migration Others
Dominant language
Python
Stars
16
Forks
50
PR merge metrics
No merged PRs in 30d

Description

  • #48
    List and filter run evaluations. Useful for retrieving model evaluations across many runs.

  • #49
    Get an unevaluated run. Only for managing run evaluation scripts.

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 reviewing linked issues #48 and #49, which define the evaluation endpoint work. Determine the existing server entry points for listing and filtering run evaluations and for retrieving an unevaluated run. The work is done when both endpoint behaviors are implemented and their expected responses are covered.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
api
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
45/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.