| Dimension | Shared | Only in A | Only in B | Overlap |
|---|---|---|---|---|
| Sections | 0 | 1 | 1 | 0% |
| Commands | 0 | 0 | 0 | — |
| Section tags | 0 | 1 | 2 | 0% |
What each file covers
Sections
0 shared · 1 only in A · 1 only in B- − ML Inference Memory
- + ML Instructions
Commands
neither file has anySection tags
0 shared · 1 only in A · 2 only in B- − performance
- + do-not
- + agent-behaviour
Line diff
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
Aledon8/OpenLeukemia · .github/instructions/ml.instructions.md
@@ +1 @@
1---
2applyTo: "ml/**/*"
3---
4
5# ML Instructions
6
7- Keep structured ML workflows separate from LLM explanation workflows.
8- Use measurable criteria: split, metric, threshold, calibration, and known failure modes.
9- Do not commit patient-identifying or sensitive medical data.
10- Model outputs support signals and trends, not diagnosis or treatment guidance.
11- Document label assumptions, cohort limitations, and evaluation caveats near the relevant code or report.
12
@@ −1 +1 @@
1−# ML Inference Memory
1+---
2+applyTo: "ml/**/*"
3+---
24
3−Apply this inside `ml/inference/`.
5+# ML Instructions
46
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.
7+- Keep structured ML workflows separate from LLM explanation workflows.
8+- Use measurable criteria: split, metric, threshold, calibration, and known failure modes.
9+- Do not commit patient-identifying or sensitive medical data.
10+- Model outputs support signals and trends, not diagnosis or treatment guidance.
11+- Document label assumptions, cohort limitations, and evaluation caveats near the relevant code or report.
912
