Instructions to use SZLHOLDINGS/szl-formulas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use SZLHOLDINGS/szl-formulas with Kernels:
# !pip install kernels from kernels import get_kernel kernel = get_kernel("SZLHOLDINGS/szl-formulas") - Notebooks
- Google Colab
- Kaggle
| #!/usr/bin/env python3 | |
| """Re-verify the szl-formulas surrogate: sha256 the shipped model against | |
| TRAINING_RECEIPT.json, then deterministically regenerate the seeded dataset via | |
| scripts/forge.py (which resolves the kernel from this repo's own build/ dir) and | |
| compare re-measured 21-class accuracy to the receipt (tolerance 0.02 across lib | |
| versions). Run from repo root: python scripts/eval.py""" | |
| import hashlib, json, subprocess, sys, tempfile, os, shutil | |
| root = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) | |
| receipt = json.load(open(f"{root}/TRAINING_RECEIPT.json")) | |
| got = hashlib.sha256(open(f"{root}/model.joblib", "rb").read()).hexdigest() | |
| want = receipt["model"]["sha256"] | |
| print(f"model.joblib sha256 {'MATCHES receipt' if got==want else 'MISMATCH — refuse'}: {got[:16]}…") | |
| if got != want: sys.exit(1) | |
| with tempfile.TemporaryDirectory() as td: | |
| copy = f"{td}/repo" | |
| shutil.copytree(root, copy, ignore=shutil.ignore_patterns(".cache")) | |
| out = subprocess.run([sys.executable, f"{copy}/scripts/forge.py"], | |
| capture_output=True, text=True, cwd=copy) | |
| print(out.stdout[-500:] if out.returncode == 0 else out.stderr[-500:]) | |
| if out.returncode: sys.exit(1) | |
| re_receipt = json.load(open(f"{copy}/scripts/TRAINING_RECEIPT.json")) | |
| d = abs(re_receipt["metrics_MEASURED"]["test_accuracy_21_class"] | |
| - receipt["metrics_MEASURED"]["test_accuracy_21_class"]) | |
| print(f"re-measured 21-class accuracy delta vs receipt: {d:.4f} ({'OK <=0.02' if d<=0.02 else 'FAIL'})") | |
| sys.exit(0 if d <= 0.02 else 1) | |