Document list of client-side evaluation names

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Assessment

Difficulty
2/5
Estimated time
1-3 hours
Newbie friendliness
62/100
Issue type
Documentation
Clarity
Mostly clear
Activity status
Quiet
Domain
api, documentation

Research direction

Start by locating the existing documentation for client uploads and evaluation names. Document how clients upload their own evaluations, including runtimes and measures, and explain the warning stored when an uploaded measure is also computed by OpenML; done means the upload behavior is clear to clients.

Written by the indexing model from the issue text.

Description

behavior

We should clearly explain how clients should upload their own evaluations, e.g. runtimes, and what happens exactly when they upload their own measures. For instance, if you upload a measure that OpenML also computes, a warning will be stored.

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

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  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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