laur1s / laur1s/DeepPreprocess
Create tests for DeepPreprocess.py
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hacktoberfest
help wanted
Python
pyunit
- Dominant language
- Python
- Stars
- 1
- Forks
- 7
- PR merge metrics
- No merged PRs in 30d
Description
Create pytest tests for the normalization, train tests validation split, and one hot encoding functions in code
Contributor guide
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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
Start by reading code/DeepPreprocess.py to identify the normalization, train/test validation split, and one-hot encoding functions, then check how pytest is configured. Done means pytest tests cover the three named functions and pass for their expected preprocessing behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data, testing-qa
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100