Buckets:
| import json | |
| import os | |
| import numpy as np | |
| ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) | |
| V2 = os.path.join(ROOT, "results", "v2") | |
| a = json.load(open(os.path.join(V2, "analysis_v2.json"))) | |
| for k, c in a["claims"].items(): | |
| print(k, c["verdict"], c.get("n_pass"), "/", c.get("n_checks")) | |
| c3 = a["claims"]["claim3"] | |
| print("claim3 both:", c3["n_datasets_both_baselines_beaten"], | |
| "any:", c3["n_datasets_any_baseline_beaten"], | |
| "regress:", c3["n_datasets_regression"]) | |
| print() | |
| for ds in ["moons-hard", "rings", "gauss-xor", "digits-3v8"]: | |
| d = json.load(open(os.path.join(V2, f"ddsvm_v2_{ds}.json"))) | |
| h = np.array([[c["hinge_end"] for c in r["ddsvm"]["cycles"]] for r in d["runs"]]) | |
| print(f"--- {ds}: wall={d['wall_time_sec']:.1f}s") | |
| print(" hinge mean curve:", np.round(h.mean(0), 6).tolist()) | |
| print(" exact zeros total:", int((h == 0).sum()), "of", h.size, | |
| "| final-cycle zeros:", int((h[:, -1] == 0).sum()), "/", h.shape[0]) | |
| nz = [j + 1 for j in range(h.shape[1]) if (h[:, j] == 0).any()] | |
| print(" cycles containing any exact zero:", nz[:6]) | |
Xet Storage Details
- Size:
- 1.12 kB
- Xet hash:
- 47d6499217814aa0d187fa6e1d13b858ef7f6eb8711cda971310dfd82b222ae6
·
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