Final notebook and reproducibility check
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 35/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Active
- Tech stack
- jupyter-notebook, markdown, python
- Domain
- documentation, machine-learning
Research direction
Start by reading #41, since this issue depends on it and the saved-results format it produces. Then open notebooks/Assignment03.ipynb, src/, run_all.py and requirements.txt to see what the notebook must import and load. Done means the notebook runs top to bottom with no errors on a clean environment, a fresh clone plus pip install -r requirements.txt reproduces the numbers, and README.md covers how to run, expected runtime and output locations.
Written by the indexing model from the issue text.
Description
Submission notebook that imports src/ and shows all results.
Files: notebooks/Assignment03.ipynb, README.md
Tasks
- Notebook loads saved results and displays every table and figure (no copy-pasted code)
- Fresh clone +
pip install -r requirements.txt+run_all.pyreproduces the numbers - README: how to run, expected runtime, where outputs go
Done when
Notebook runs top to bottom without errors on a clean environment (e.g. Colab).
Depends on
#41
Close with a commit or PR message containing Closes #<this issue>.
- Dominant language
- Jupyter Notebook
- Stars
- 0
- Forks
- 0
- Avg merge
- 1m
- Merged PRs (30d)
- 3
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
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.
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