File size: 5,543 Bytes
fc329a3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 | """Run stratification-sensitivity sweeps across all real benchmark tasks."""
from __future__ import annotations
import argparse
import json
import subprocess
from pathlib import Path
import yaml
CORE_METHODS = ["global", "partition", "twostage", "fullcp", "jackknife_plus"]
ALL_METHODS = [
"global",
"partition",
"twostage",
"fullcp",
"jackknife_plus",
"oneshot",
"trainres",
"weighted",
]
DEFAULT_STRATA = ["boundary", "entropy", "dominant", "kmeans"]
TASKS = ["cifar10", "topics", "affectivetext", "samson", "utkface", "pbmc"]
def build_pbmc_config(
base_config: Path,
out_dir: Path,
strata_method: str,
methods: list[str],
) -> Path:
with open(base_config, encoding="utf-8") as f:
cfg = yaml.safe_load(f)
cfg["experiment"] = f"pbmc_sensitivity_{base_config.stem}_{strata_method}_fixed"
cfg.setdefault("evaluation", {})
cfg["evaluation"]["strata_method"] = strata_method
cfg["evaluation"]["fixed_strata"] = True
cfg["conformal"]["methods"] = methods
out_path = out_dir / f"{cfg['experiment']}.yaml"
with open(out_path, "w", encoding="utf-8") as f:
yaml.safe_dump(cfg, f, sort_keys=False)
return out_path
def command_matrix(
mode: str,
strata: list[str],
methods: list[str],
config_dir: Path,
) -> list[list[str]]:
py = ["uv", "run", "--extra", "bio", "python"]
commands: list[list[str]] = []
if mode == "smoke":
n_rep = "5"
softmax_extra = ["--max_samples", "2000"]
utk_extra = ["--max_samples", "2000"]
pbmc_base = Path("configs/real/exp2_1_smoke_test.yaml")
else:
n_rep = "50"
softmax_extra = []
utk_extra = []
pbmc_base = Path("configs/real/exp2_1_bulk_deconv.yaml")
method_args = ["--methods", *methods]
for s in strata:
tag = f"strata_{s}_fixed"
commands.append([
*py, "scripts/run_softmax.py",
"--dataset", "cifar10",
"--model", "resnet18",
"--device", "cpu",
"--n_rep", n_rep,
"--n_strata", "5",
"--strata", s,
"--fixed-strata",
"--tag", tag,
*method_args,
*softmax_extra,
])
commands.append([
*py, "scripts/run_topics.py",
"--K", "10",
"--n_rep", n_rep,
"--n_strata", "5",
"--strata", s,
"--fixed-strata",
"--tag", tag,
*method_args,
])
commands.append([
*py, "scripts/run_affective_text.py",
"--n_rep", n_rep,
"--n_strata", "5",
"--strata", s,
"--fixed-strata",
"--tag", tag,
*method_args,
])
commands.append([
*py, "scripts/run_hyperspectral.py",
"--dataset", "samson",
"--unmix", "nmf",
"--n_rep", n_rep,
"--n_strata", "5",
"--strata", s,
"--fixed-strata",
"--tag", tag,
*method_args,
])
commands.append([
*py, "scripts/run_age_ldl.py",
"--data-dir", "data/raw/UTKFace",
"--pred-method", "image_knn",
"--n_rep", n_rep,
"--n_strata", "5",
"--strata", s,
"--fixed-strata",
"--tag", tag,
*method_args,
*utk_extra,
])
pbmc_cfg = build_pbmc_config(pbmc_base, config_dir, s, methods)
commands.append([
*py, "scripts/run_bulk_deconv.py",
"--config", str(pbmc_cfg),
])
return commands
def main() -> None:
parser = argparse.ArgumentParser()
parser.add_argument("--mode", choices=["smoke", "full"], default="smoke")
parser.add_argument("--method-set", choices=["core", "all"], default="core")
parser.add_argument("--strata", nargs="+", default=DEFAULT_STRATA)
parser.add_argument("--dry-run", action="store_true")
parser.add_argument("--continue-on-error", action="store_true")
parser.add_argument("--manifest", default="results/tables/real_strata_sensitivity_manifest.json")
args = parser.parse_args()
methods = CORE_METHODS if args.method_set == "core" else ALL_METHODS
config_dir = Path("temp/strata_sensitivity_configs")
config_dir.mkdir(parents=True, exist_ok=True)
commands = command_matrix(args.mode, args.strata, methods, config_dir)
manifest = {
"mode": args.mode,
"method_set": args.method_set,
"methods": methods,
"strata": args.strata,
"commands": [" ".join(cmd) for cmd in commands],
"completed": [],
"failed": [],
}
if args.dry_run:
print(json.dumps(manifest, indent=2))
return
for i, cmd in enumerate(commands, start=1):
print(f"[{i}/{len(commands)}] {' '.join(cmd)}", flush=True)
try:
subprocess.run(cmd, check=True)
manifest["completed"].append(" ".join(cmd))
except subprocess.CalledProcessError as exc:
manifest["failed"].append({"command": " ".join(cmd), "returncode": exc.returncode})
with open(args.manifest, "w", encoding="utf-8") as f:
json.dump(manifest, f, indent=2)
if not args.continue_on_error:
raise
with open(args.manifest, "w", encoding="utf-8") as f:
json.dump(manifest, f, indent=2)
if __name__ == "__main__":
main()
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