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Pull Request Overview
This PR reorganizes file paths for consistency and streamlines the CI workflow by removing redundant steps.
- Adjust dataset loading and model saving paths in the training script
- Update CI workflow script paths and remove the test coverage step
Reviewed Changes
Copilot reviewed 6 out of 6 changed files in this pull request and generated no comments.
| File | Description |
|---|---|
| app/model/train_color_model.py | Update dataset path, simplify directory creation, and adjust save logic |
| .github/workflows/ci.yml | Point to new script locations and drop the coverage-report step |
Comments suppressed due to low confidence (2)
app/model/train_color_model.py:22
- The model is saved to the project root (
color_model.pkl), but the print message indicatesapp/model/color_model.pkl. Either update the dump path toapp/model/color_model.pklor adjust the print statement to reflect where the file is actually saved.
joblib.dump(model, 'color_model.pkl')
app/model/train_color_model.py:21
- Calling
os.makedirs('./', exist_ok=True)is redundant since the current directory always exists. Consider removing this line or specifying the intended target directory (e.g.,app/model).
os.makedirs('./', exist_ok=True)
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This pull request includes updates to the file paths in the codebase for better organization and removes redundant steps in the CI workflow. The most important changes include modifying file paths in scripts to reflect the new directory structure and simplifying the CI workflow by removing the test coverage step.
File path updates:
app/model/train_color_model.pyto use a relative path consistent with the new directory structure (./data/dataset.csv).app/model/train_color_model.pyto ensure the model is saved in the correct location (./).CI workflow simplification:
.github/workflows/ci.ymlto match the new directory structure (data/generate_synthetic_dataset.pyandapp/model/train_color_model.py).