scikit-learn / scikit-learn/scikit-learn
Add Hypothesis Testing
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Hard
module:test-suite
- Dominant language
- Python
- Stars
- 67.3k
- Forks
- 27.4k
- Avg merge
- 1d 15h
- Merged PRs (30d)
- 58
Description
It may be beneficial to add hypothesis testing to some of our tests. Hypothesis testing allows for us to verify mathematical properties such as commutativity:
from hypothesis import given
import hypothesis.strategies as st
@given(st.integers(), st.integers())
def test_ints_are_commutative(x, y):
assert x + y == y + x
This allows the CI to look for edge cases for us. This would be useful testing metrics. https://hypothesis.readthedocs.io/en/latest/
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names no specific files or tests; start by reviewing the existing metrics tests and the linked Hypothesis documentation. Define which mathematical properties and metrics should receive property-based tests, then verify that CI exercises edge cases without introducing unreliable tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, testing
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100