Add random seed tests to all applicable models

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Assessment

Difficulty
4/5
Estimated time
3-5 days
Newbie friendliness
35/100
Issue type
Feature
Clarity
Mostly clear
Activity status
Stale
Tech stack
machine-learning, python
Domain
machine-learning, testing

Research direction

Start by identifying the models that expose random seed fixation, then read their existing tests and run the relevant test suites. Add coverage for each applicable model showing that the same fixed seed reproduces results and different fixed seeds produce different results; done means both behaviors are checked across all applicable models.

Written by the indexing model from the issue text.

Description

enhancement
Feature Description

Check which models have random seed fixation and write tests for all of them:

  • models with fixed seed produce same results
  • models with different fixed seeds produce different results
Why this feature?

Avoid problems with seed fixation

Additional context

No response

Dominant language
Python
Stars
457
Forks
55
No merged PRs in 30d

Getting set up

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.

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