| Dimension | Shared | Only in A | Only in B | Overlap |
|---|---|---|---|---|
| Sections | 0 | 1 | 1 | 0% |
| Commands | 0 | 0 | 0 | — |
| Section tags | 1 | 1 | 0 | 50% |
What each file covers
Sections
0 shared · 1 only in A · 1 only in B- − ML Training Memory
- + Frontend Styles Memory
Commands
neither file has anySection tags
1 shared · 1 only in A · 0 only in B- − code-style
- performance
Line diff
Aledon8/OpenLeukemia · ml/training/CLAUDE.md
@@ −1 @@
1# ML Training Memory
2
3Apply this inside `ml/training/`.
4
5- Prefer reproducible training scripts with explicit inputs, seeds, outputs, and metrics.
6- Keep patient-identifying data out of the repository.
7- Document label assumptions and cohort limitations near the training code.
8- Structured models support signals and trends, not diagnosis.
9
Aledon8/OpenLeukemia · frontend/src/styles/CLAUDE.md
@@ +1 @@
1# Frontend Styles Memory
2
3Apply this inside `frontend/src/styles/`.
4
5- Use CSS variables for theme-aware colors and shared spacing.
6- Maintain light and dark themes together.
7- Keep layouts mobile-first and avoid fragile fixed widths.
8- Preserve accessible contrast and focus states.
9- Keep brand red as an accent, not the only visual hue.
10
@@ −1 +1 @@
1−# ML Training Memory
1+# Frontend Styles Memory
22
3−Apply this inside `ml/training/`.
3+Apply this inside `frontend/src/styles/`.
44
5−- Prefer reproducible training scripts with explicit inputs, seeds, outputs, and metrics.
6−- Keep patient-identifying data out of the repository.
7−- Document label assumptions and cohort limitations near the training code.
8−- Structured models support signals and trends, not diagnosis.
5+- Use CSS variables for theme-aware colors and shared spacing.
6+- Maintain light and dark themes together.
7+- Keep layouts mobile-first and avoid fragile fixed widths.
8+- Preserve accessible contrast and focus states.
9+- Keep brand red as an accent, not the only visual hue.
910
