Baselines availability

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
20/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
python
Domain
machine-learning

Research direction

The issue names no files, tests, or implementation entry points. Start by reviewing the repository's contribution instructions and the paper's references to MetaOD_C, MetaOD_F, ALORS, and SS; the request would be complete when the availability of those baseline implementations is clarified or their code is published.

Written by the indexing model from the issue text.

Description

Variations of MetaOD are used as baselines (MetaOD_C and MetaOD_F) on the paper.
Could it be possible to open-source their code? It would really help us understanding them.
Also, is the code for the other baselines (ALORS and SS) available too?

Dominant language
Python
Stars
188
Forks
28
No merged PRs in 30d

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  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.

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