| 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 Evaluation Memory
- + ML Inference 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/evaluation/CLAUDE.md
@@ −1 @@
1# ML Evaluation Memory
2
3Apply this inside `ml/evaluation/`.
4
5- Report validation setup, data splits, metrics, and known limitations.
6- Prefer clinically cautious interpretation of model quality.
7- Track false positives, false negatives, calibration, and subgroup concerns when relevant.
8- Evaluation artifacts should support review, not overstate readiness.
9- Summaries should state what the model can and cannot support.
10
Aledon8/OpenLeukemia · ml/inference/CLAUDE.md
@@ +1 @@
1# ML Inference Memory
2
3Apply this inside `ml/inference/`.
4
5- Keep inference interfaces typed, deterministic, and easy to validate.
6- Return explainable scores or signals with limitations, not clinical conclusions.
7- Preserve compatibility with `ai-service/` consumers when inference code is promoted.
8- Validate feature order, units, and missing-value behavior explicitly.
9
@@ −1 +1 @@
1−# ML Evaluation Memory
1+# ML Inference Memory
22
3−Apply this inside `ml/evaluation/`.
3+Apply this inside `ml/inference/`.
44
5−- Report validation setup, data splits, metrics, and known limitations.
6−- Prefer clinically cautious interpretation of model quality.
7−- Track false positives, false negatives, calibration, and subgroup concerns when relevant.
8−- Evaluation artifacts should support review, not overstate readiness.
9−- Summaries should state what the model can and cannot support.
5+- Keep inference interfaces typed, deterministic, and easy to validate.
6+- Return explainable scores or signals with limitations, not clinical conclusions.
7+- Preserve compatibility with `ai-service/` consumers when inference code is promoted.
8+- Validate feature order, units, and missing-value behavior explicitly.
109
