Plot confusion matrix
Nobody has claimed this yet.
Assessment
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Newbie friendliness
- 68/100
- Issue type
- Feature
- Clarity
- Clearly specified
- Activity status
- Active
- Tech stack
- python
- Domain
- data-visualization
Research direction
Start in src/plots.py, where the issue asks for a plot_confusion(cm, class_names, path, title) function. Check issue #23 first, since this one depends on it, and read whatever plotting helpers already exist in that file. Done means a confusion-matrix PNG is written to figures/, with counts in the cells, row-normalised colour, readable text on dark cells, and Predicted / True axis labels.
Written by the indexing model from the issue text.
Description
Counts in the cells, colour = row-normalised recall.
Files: src/plots.py
Tasks
-
plot_confusion(cm, class_names, path, title) - Readable text colour on dark cells; axis labels Predicted / True
Done when
Confusion-matrix PNG is written to figures/.
Depends on
#23
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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