Allow to generate scatter plots/confusion matrices
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- Dominant language
- Python
- Stars
- 47
- Forks
- 0
- Avg merge
- 1d 10h
- Merged PRs (30d)
- 7
Description
From @borchero:
This is still a very open idea: when comparing pipeline outputs, we are often interested in how model predictions/scores change. To this end, we often generate scatter plots/confusion matrices.
Potentially, we could support this to some extent via diffly?
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First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
No files, tests, or entry points are identified in the issue. Start by reviewing diffly’s existing pipeline-output and data-frame comparison behavior, then clarify the intended inputs, outputs, and completion criteria for scatter plots and confusion matrices with maintainers.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data-visualization
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100