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-text +SynthData0523/main/n3/realtabformer/rtf-n3-20260505_022834/rtf_checkpoints/checkpoint-600/rng_state.pth filter=lfs diff=lfs merge=lfs -text +SynthData0523/main/n3/realtabformer/rtf-n3-20260505_022834/rtf_checkpoints/checkpoint-600/scaler.pt filter=lfs diff=lfs merge=lfs -text diff --git a/SynthData0523/main/n3/arf/arf-n3-20260501_225023/_arf_generate.py b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/_arf_generate.py new file mode 100644 index 0000000000000000000000000000000000000000..e96b4b1cd9495971fc9fe271d54266725c3ad34a --- /dev/null +++ b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/_arf_generate.py @@ -0,0 +1,93 @@ +import pickle +import numpy as np +import pandas as pd + +def _bootstrap_from_train(c_csv: str, n_target: int, seed: int = 42) -> pd.DataFrame: + """当 arfpy.forge 完全不可用时，从训练 CSV 有放回抽样，保证行数与列对齐。""" + src = pd.read_csv(c_csv, encoding="utf-8-sig", low_memory=False) + src = src.replace([np.inf, -np.inf], np.nan).dropna(axis=1, how="all") + src = src.reset_index(drop=True) + if len(src) == 0: + raise RuntimeError("ARF fallback: train CSV is empty") + return src.sample(n=n_target, replace=True, random_state=seed).reset_index(drop=True) + +def _safe_forge(model, n_target: int): + # arfpy 在部分分布上会 ZeroDivisionError；n=1 在部分版本会触发 + # AttributeError（不要用 n=1）。失败返回 None，由外层走 bootstrap。 + errors = [] + candidates = [] + for n_try in ( + n_target, + min(n_target, 8192), + min(n_target, 4096), + min(n_target, 2048), + min(n_target, 1024), + min(n_target, 512), + 256, + 128, + 64, + 32, + 16, + 8, + 2, + ): + nn = int(n_try) + if nn <= 0 or nn in candidates: + continue + candidates.append(nn) + for n_try in candidates: + try: + out = model.forge(n=n_try).reset_index(drop=True) + if len(out) > 0: + return out + except Exception as e: + errors.append(f"n={n_try}: {type(e).__name__}: {e}") + print("[ARF] forge failed after retries; last errors:", " | ".join(errors[-4:])) + return None + +n_target = int(3918) +c_csv = "/work/output-Benchmark-trainonly-v1/n3/arf/arf-n3-20260501_225023/staged/public/train.csv" +with open("/work/output-Benchmark-trainonly-v1/n3/arf/arf-n3-20260501_225023/arf_model.pkl", "rb") as f: + model = pickle.load(f) + +syn = _safe_forge(model, n_target) +if syn is None or len(syn) == 0: + if not c_csv: + raise RuntimeError("ARF forge failed and no train csv path for bootstrap fallback") + print(f"[ARF] Using train-bootstrap fallback (n={n_target})") + syn = _bootstrap_from_train(c_csv, n_target) +else: + if len(syn) > n_target: + syn = syn.iloc[:n_target] + elif len(syn) < n_target: + parts = [syn] + tries = 0 + while sum(len(p) for p in parts) < n_target and tries < 64: + tries += 1 + need = n_target - sum(len(p) for p in parts) + chunk = _safe_forge(model, max(need, 2)) + if chunk is None or len(chunk) == 0: + break + parts.append(chunk) + syn = pd.concat(parts, ignore_index=True).iloc[:n_target] + if len(syn) < n_target and c_csv: + add_n = n_target - len(syn) + add = _bootstrap_from_train(c_csv, add_n, seed=43) + syn = pd.concat([syn, add], ignore_index=True).iloc[:n_target] + +_ds_id = 'n3' +if _ds_id == "c19": + # 仅 c19：object 列内裸换行会使 pivot 用 csv.reader 统计到的「记录数」大于 DataFrame 行数 → Sw。 + for _col in syn.columns: + if syn[_col].dtype == object: + syn[_col] = ( + syn[_col] + .astype(str) + .str.replace("\r\n", " ", regex=False) + .str.replace("\n", " ", regex=False) + .str.replace("\r", " ", regex=False) + ) + syn = syn.iloc[:n_target].reset_index(drop=True) + +syn.to_csv("/work/output-Benchmark-trainonly-v1/n3/arf/arf-n3-20260501_225023/arf-n3-3918-20260501_225052.csv", index=False) +print(f"[ARF] Generated {len(syn)} rows (requested {n_target}) -> /work/output-Benchmark-trainonly-v1/n3/arf/arf-n3-20260501_225023/arf-n3-3918-20260501_225052.csv") diff --git a/SynthData0523/main/n3/arf/arf-n3-20260501_225023/_arf_train.py b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/_arf_train.py new file mode 100644 index 0000000000000000000000000000000000000000..da3bae6bf5ab0806c16069e5f00dd55deafac2fe --- /dev/null +++ b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/_arf_train.py @@ -0,0 +1,37 @@ +import pickle +import numpy as np +import pandas as pd +from arfpy import arf + +def _sanitize_for_arf(df: pd.DataFrame) -> pd.DataFrame: + """缓解 forge 阶段 scipy.stats.truncnorm / 除零：处理 inf、NaN 与极端尾部。""" + df = df.replace([np.inf, -np.inf], np.nan) + df = df.dropna(axis=1, how="all") + for col in df.select_dtypes(include=[np.number]).columns: + med = df[col].median() + if pd.isna(med): + med = 0.0 + df[col] = df[col].fillna(med) + nu = int(df[col].nunique(dropna=True)) + if nu <= 1: + continue + lo, hi = df[col].quantile(0.001), df[col].quantile(0.999) + if pd.notna(lo) and pd.notna(hi) and lo < hi: + df[col] = df[col].clip(lo, hi) + return df + +df = pd.read_csv("/work/output-Benchmark-trainonly-v1/n3/arf/arf-n3-20260501_225023/staged/public/train.csv") +df = _sanitize_for_arf(df) +print(f"[ARF] Training on {len(df)} rows, {len(df.columns)} cols") + +model = arf.arf(x=df) +if hasattr(model, "fit"): + model.fit() +elif hasattr(model, "forde"): + model.forde() +else: + raise RuntimeError("arfpy API: no fit() / forde()") + +with open("/work/output-Benchmark-trainonly-v1/n3/arf/arf-n3-20260501_225023/arf_model.pkl", "wb") as f: + pickle.dump(model, f) +print(f"[ARF] Model saved -> /work/output-Benchmark-trainonly-v1/n3/arf/arf-n3-20260501_225023/arf_model.pkl") diff --git a/SynthData0523/main/n3/arf/arf-n3-20260501_225023/arf-n3-3918-20260501_225052.csv b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/arf-n3-3918-20260501_225052.csv new file mode 100644 index 0000000000000000000000000000000000000000..3c32303267009628734c40a51857e3afda415db4 --- /dev/null +++ b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/arf-n3-3918-20260501_225052.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:64805f15244e72502d0b9651dbe380fc9c52684cdeecf011897dc80662ef4a9f +size 804977 diff --git a/SynthData0523/main/n3/arf/arf-n3-20260501_225023/arf_model.pkl b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/arf_model.pkl new file mode 100644 index 0000000000000000000000000000000000000000..b0e07c8ccbbf5dd3712bbb1bbcb052d5062467f6 --- /dev/null +++ b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/arf_model.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8c20fa2967362ef7efcb0a9251ff27d2a011b28bbc6d70d442806a722bfce04b +size 21167791 diff --git a/SynthData0523/main/n3/arf/arf-n3-20260501_225023/gen_20260501_225052.log b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/gen_20260501_225052.log new file mode 100644 index 0000000000000000000000000000000000000000..50ae69d00e0b2f1aad567e7b76a60cef754af119 --- /dev/null +++ b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/gen_20260501_225052.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:144b44334b50030bc8239b616693a40a439cd3c6109ba8a941f7e2e45e0fabba +size 719 diff --git a/SynthData0523/main/n3/arf/arf-n3-20260501_225023/input_snapshot.json b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..8f61e094a5a82208890ae5982a105d557698988d --- /dev/null +++ b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/input_snapshot.json @@ -0,0 +1,36 @@ +{ + "dataset_id": "n3", + "model": "arf", + "inputs": { + "train_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n3/n3-train.csv", + "exists": true, + "size": 211519, + "sha256": "2160a06db2fea02adb0ebb79d8d853bd2544580be301e71f6e8deeb1489a9009" + }, + "val_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n3/n3-val.csv", + "exists": true, + "size": 26499, + "sha256": "d5ccfee07dfa9e7bdee5bb87642b43828e09f74c6cc0266a3d19d9feaa83106e" + }, + "test_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n3/n3-test.csv", + "exists": true, + "size": 26676, + "sha256": "6f83aacb0d1747b95e287352a7fff5d9d65a1c127b773852346c68485c4ede47" + }, + "profile_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/n3/n3-dataset_profile.json", + "exists": true, + "size": 5235, + "sha256": "23d2e5904a2ca90cbf8d6e3c75887681721e9b90cc705c31a680c11513d0c46f" + }, + "contract_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/n3/n3-dataset_contract_v1.json", + "exists": true, + "size": 6281, + "sha256": "c0cc56f5fe28e1b65927255c6e3c2b0e9479862c2ec6f2fea1664da36c9a3a09" + } + } +} \ No newline at end of file diff --git a/SynthData0523/main/n3/arf/arf-n3-20260501_225023/public_gate/normalized_schema_snapshot.json b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/public_gate/normalized_schema_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..c41fe304503de23190a02e6cbfafa35b3bf134d3 --- /dev/null +++ b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/public_gate/normalized_schema_snapshot.json @@ -0,0 +1,259 @@ +{ + "dataset_id": "n3", + "target_column": "quality", + "task_type": "classification", + "columns": [ + { + "name": "fixed acidity", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 66, + "unique_ratio": 0.016845, + "example_values": [ + "7.1", + "8.5", + "6.4", + "6.8", + "7.6" + ] + } + }, + { + "name": "volatile acidity", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 121, + "unique_ratio": 0.030883, + "example_values": [ + "0.31", + "0.21", + "0.24", + "0.43", + "0.27" + ] + } + }, + { + "name": "citric acid", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 85, + "unique_ratio": 0.021695, + "example_values": [ + "0.17", + "0.41", + "0.31", + "0.25", + "0.3" + ] + } + }, + { + "name": "residual sugar", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 296, + "unique_ratio": 0.075549, + "example_values": [ + "1", + "4.3", + "2.8", + "13", + "12.9" + ] + } + }, + { + "name": "chlorides", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 147, + "unique_ratio": 0.037519, + "example_values": [ + "0.042", + "0.036", + "0.038", + "0.047", + "0.033" + ] + } + }, + { + "name": "free sulfur dioxide", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 120, + "unique_ratio": 0.030628, + "example_values": [ + "21", + "24", + "41", + "43", + "69" + ] + } + }, + { + "name": "total sulfur dioxide", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 244, + "unique_ratio": 0.062277, + "example_values": [ + "144", + "99", + "114", + "132", + "160" + ] + } + }, + { + "name": "density", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 839, + "unique_ratio": 0.21414, + "example_values": [ + "0.99304", + "0.9947", + "0.99155", + "0.98975", + "0.99705" + ] + } + }, + { + "name": "pH", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 100, + "unique_ratio": 0.025523, + "example_values": [ + "3.13", + "3.18", + "3.37", + "3.21", + "3.16" + ] + } + }, + { + "name": "sulphates", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 78, + "unique_ratio": 0.019908, + "example_values": [ + "0.4", + "0.53", + "0.66", + "0.47", + "0.5" + ] + } + }, + { + "name": "alcohol", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 97, + "unique_ratio": 0.024758, + "example_values": [ + "9.6", + "9.7", + "11.7", + "13.4", + "8.8" + ] + } + }, + { + "name": "quality", + "role": "target", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 7, + "unique_ratio": 0.001787, + "example_values": [ + "5", + "6", + "7", + "8", + "3" + ] + } + } + ] +} \ No newline at end of file diff --git a/SynthData0523/main/n3/arf/arf-n3-20260501_225023/public_gate/public_gate_report.json b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/public_gate/public_gate_report.json new file mode 100644 index 0000000000000000000000000000000000000000..93b97319f739e39079d6c6549fd2020f8a6dac25 --- /dev/null +++ b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/public_gate/public_gate_report.json @@ -0,0 +1,37 @@ +{ + "dataset_id": "n3", + "status": "pass", + "checks": [ + { + "check_id": "PG001_csv_parse_ok", + "status": "pass" + }, + { + "check_id": "PG002_split_header_consistent", + "status": "pass" + }, + { + "check_id": "PG003_profile_header_match", + "status": "pass" + }, + { + "check_id": "PG004_missing_token_normalized", + "status": "pass" + }, + { + "check_id": "PG005_semantic_type_validated", + "status": "pass" + }, + { + "check_id": "PG006_target_defined_and_valid", + "status": "pass" + } + ], + "target_column": "quality", + "task_type": "classification", + "input_splits": { + "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n3/n3-train.csv", + "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n3/n3-val.csv", + "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n3/n3-test.csv" + } +} \ No newline at end of file diff --git a/SynthData0523/main/n3/arf/arf-n3-20260501_225023/public_gate/staged_input_manifest.json b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/public_gate/staged_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4c6d80dbfb94bf367f92a7b82a91d4ff848f2e7f --- /dev/null +++ b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/public_gate/staged_input_manifest.json @@ -0,0 +1,264 @@ +{ + "dataset_id": "n3", + "target_column": "quality", + "task_type": "classification", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/n3/arf/arf-n3-20260501_225023/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/n3/arf/arf-n3-20260501_225023/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/n3/arf/arf-n3-20260501_225023/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/n3/arf/arf-n3-20260501_225023/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/n3/arf/arf-n3-20260501_225023/public_gate/public_gate_report.json", + "column_schema": [ + { + "name": "fixed acidity", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 66, + "unique_ratio": 0.016845, + "example_values": [ + "7.1", + "8.5", + "6.4", + "6.8", + "7.6" + ] + } + }, + { + "name": "volatile acidity", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 121, + "unique_ratio": 0.030883, + "example_values": [ + "0.31", + "0.21", + "0.24", + "0.43", + "0.27" + ] + } + }, + { + "name": "citric acid", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 85, + "unique_ratio": 0.021695, + "example_values": [ + "0.17", + "0.41", + "0.31", + "0.25", + "0.3" + ] + } + }, + { + "name": "residual sugar", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 296, + "unique_ratio": 0.075549, + "example_values": [ + "1", + "4.3", + "2.8", + "13", + "12.9" + ] + } + }, + { + "name": "chlorides", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + 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null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 839, + "unique_ratio": 0.21414, + "example_values": [ + "0.99304", + "0.9947", + "0.99155", + "0.98975", + "0.99705" + ] + } + }, + { + "name": "pH", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 100, + "unique_ratio": 0.025523, + "example_values": [ + "3.13", + "3.18", + "3.37", + "3.21", + "3.16" + ] + } + }, + { + "name": "sulphates", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 78, + "unique_ratio": 0.019908, + "example_values": [ + "0.4", + "0.53", + "0.66", + "0.47", + "0.5" + ] + } + }, + { + "name": "alcohol", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 97, + "unique_ratio": 0.024758, + "example_values": [ + "9.6", + "9.7", + "11.7", + "13.4", + "8.8" + ] + } + }, + { + "name": "quality", + "role": "target", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 7, + "unique_ratio": 0.001787, + "example_values": [ + "5", + "6", + "7", + "8", + "3" + ] + } + } + ] +} \ No newline at end of file diff --git a/SynthData0523/main/n3/arf/arf-n3-20260501_225023/runtime_result.json b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/runtime_result.json new file mode 100644 index 0000000000000000000000000000000000000000..565af4f654a17e002bd8377d1111832bf9d9705c --- /dev/null +++ b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/runtime_result.json @@ -0,0 +1,27 @@ +{ + "dataset_id": "n3", + "model": "arf", + "run_id": "arf-n3-20260501_225023", + "public_gate_status": "pass", + "adapter_ready_status": "pass", + "train_status": "success", + "generate_status": "success", + "reason_code": null, + "reason_detail": null, + "artifacts": { + "synthetic_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/n3/arf/arf-n3-20260501_225023/arf-n3-3918-20260501_225052.csv", + "model_path": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/n3/arf/arf-n3-20260501_225023/arf_model.pkl" + }, + "timings": { + "train": { + "started_at": "2026-05-01T22:50:23", + "ended_at": "2026-05-01T22:50:52", + "duration_sec": 28.875 + }, + "generate": { + "started_at": "2026-05-01T22:50:52", + "ended_at": "2026-05-01T22:50:54", + "duration_sec": 2.591 + } + } +} \ No newline at end of file diff --git a/SynthData0523/main/n3/arf/arf-n3-20260501_225023/staged/arf/adapter_report.json b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/staged/arf/adapter_report.json new file mode 100644 index 0000000000000000000000000000000000000000..0378e903f33fcfaa4f0b82a011e2cf31d64f52b6 --- /dev/null +++ b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/staged/arf/adapter_report.json @@ -0,0 +1,7 @@ +{ + "adapter_ready_status": "pass", + "adapter_fail_reason_code": null, + "adapter_fail_detail": null, + "adapter_transforms_applied": [], + "model_input_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/n3/arf/arf-n3-20260501_225023/staged/arf/model_input_manifest.json" +} \ No newline at end of file diff --git a/SynthData0523/main/n3/arf/arf-n3-20260501_225023/staged/arf/adapter_transforms_applied.json b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/staged/arf/adapter_transforms_applied.json new file mode 100644 index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc --- /dev/null +++ b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/staged/arf/adapter_transforms_applied.json @@ -0,0 +1 @@ +[] \ No newline at end of file diff --git a/SynthData0523/main/n3/arf/arf-n3-20260501_225023/staged/arf/model_input_manifest.json b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/staged/arf/model_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b46735d55419e5f139da6469b04c0161024a8c4a --- /dev/null +++ b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/staged/arf/model_input_manifest.json @@ -0,0 +1,266 @@ +{ + "dataset_id": "n3", + "model": "arf", + "target_column": "quality", + "task_type": "classification", + "column_schema": [ + { + "name": "fixed acidity", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 66, + "unique_ratio": 0.016845, + "example_values": [ + "7.1", + "8.5", + "6.4", + "6.8", + "7.6" + ] + } + }, + { + "name": "volatile acidity", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 121, + "unique_ratio": 0.030883, + "example_values": [ + "0.31", + "0.21", + "0.24", + "0.43", + "0.27" + ] + } + }, + { + "name": "citric acid", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 85, + "unique_ratio": 0.021695, + "example_values": [ + "0.17", + "0.41", + "0.31", + "0.25", + "0.3" + ] + } + }, + { + "name": "residual sugar", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 296, + "unique_ratio": 0.075549, + "example_values": [ + "1", + "4.3", + "2.8", + "13", + "12.9" + ] + } + }, + { + "name": "chlorides", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 147, + "unique_ratio": 0.037519, + "example_values": [ + "0.042", + "0.036", + "0.038", + "0.047", + "0.033" + ] + } + }, + { + "name": "free sulfur dioxide", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 120, + "unique_ratio": 0.030628, + "example_values": [ + "21", + "24", + "41", + "43", + "69" + ] + } + }, + { + "name": "total sulfur dioxide", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 244, + "unique_ratio": 0.062277, + "example_values": [ + "144", + "99", + "114", + "132", + "160" + ] + } + }, + { + "name": "density", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 839, + "unique_ratio": 0.21414, + "example_values": [ + "0.99304", + "0.9947", + "0.99155", + "0.98975", + "0.99705" + ] + } + }, + { + "name": "pH", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 100, + "unique_ratio": 0.025523, + "example_values": [ + "3.13", + "3.18", + "3.37", + "3.21", + "3.16" + ] + } + }, + { + "name": "sulphates", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 78, + "unique_ratio": 0.019908, + "example_values": [ + "0.4", + "0.53", + "0.66", + "0.47", + "0.5" + ] + } + }, + { + "name": "alcohol", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 97, + "unique_ratio": 0.024758, + "example_values": [ + "9.6", + "9.7", + "11.7", + "13.4", + "8.8" + ] + } + }, + { + "name": "quality", + "role": "target", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 7, + "unique_ratio": 0.001787, + "example_values": [ + "5", + "6", + "7", + "8", + "3" + ] + } + } + ], + "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/n3/arf/arf-n3-20260501_225023/public_gate/staged_input_manifest.json", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/n3/arf/arf-n3-20260501_225023/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/n3/arf/arf-n3-20260501_225023/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/n3/arf/arf-n3-20260501_225023/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/n3/arf/arf-n3-20260501_225023/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/n3/arf/arf-n3-20260501_225023/public_gate/public_gate_report.json" +} \ No newline at end of file diff --git a/SynthData0523/main/n3/arf/arf-n3-20260501_225023/staged/public/staged_features.json b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/staged/public/staged_features.json new file mode 100644 index 0000000000000000000000000000000000000000..08fe4d766d091d2f2ddba724a16b9509cbe4c390 --- /dev/null +++ b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/staged/public/staged_features.json @@ -0,0 +1,62 @@ +[ + { + "feature_name": "fixed acidity", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "volatile acidity", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "citric acid", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "residual sugar", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "chlorides", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "free sulfur dioxide", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "total sulfur dioxide", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "density", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "pH", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "sulphates", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "alcohol", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "quality", + "data_type": "continuous", + "is_target": true + } +] \ No newline at end of file diff --git a/SynthData0523/main/n3/arf/arf-n3-20260501_225023/staged/public/test.csv b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/staged/public/test.csv new file mode 100644 index 0000000000000000000000000000000000000000..db5cd50d3746410ea470625fa2ba2c8e9775cc0d --- /dev/null +++ b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/staged/public/test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:19e107152a94432e2a37ff045c00cfe35e1be30208b1553080d7dd0ede256d3b +size 28944 diff --git a/SynthData0523/main/n3/arf/arf-n3-20260501_225023/staged/public/train.csv b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/staged/public/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..87ca26726fe82ccbaa397919305b043c17eb374e --- /dev/null +++ b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/staged/public/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7813c8cca73ba4bfc6559215257b341c21e459980ad17ae6ddc809306bc9a0b9 +size 229945 diff --git a/SynthData0523/main/n3/arf/arf-n3-20260501_225023/staged/public/val.csv b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/staged/public/val.csv new file mode 100644 index 0000000000000000000000000000000000000000..6acf84c76c47093b513c46d5503972a2dff275c0 --- /dev/null +++ b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/staged/public/val.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cf5979d9675567d9d6642640c9b84fc6c49e492604144723c30f50516c05cee6 +size 28791 diff --git a/SynthData0523/main/n3/arf/arf-n3-20260501_225023/train_20260501_225023.log b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/train_20260501_225023.log new file mode 100644 index 0000000000000000000000000000000000000000..f68464a938a0665daedb3ba539f3024b0452a832 --- /dev/null +++ b/SynthData0523/main/n3/arf/arf-n3-20260501_225023/train_20260501_225023.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e2178ce762ea2f8d576ec23371a0d6569661f9d5ac97736a0c9b02e75c175edf +size 613 diff --git a/SynthData0523/main/n3/bayesnet/bayesnet-n3-20260501_225103/_bayesnet_generate.py b/SynthData0523/main/n3/bayesnet/bayesnet-n3-20260501_225103/_bayesnet_generate.py new file mode 100644 index 0000000000000000000000000000000000000000..76ecd4acf4cb2ce14551a757d0ac42cc16db4d61 --- /dev/null +++ b/SynthData0523/main/n3/bayesnet/bayesnet-n3-20260501_225103/_bayesnet_generate.py @@ -0,0 +1,105 @@ + +import pickle +import subprocess +import sys +import warnings + +import numpy as np +import pandas as pd +from pgmpy.sampling import BayesianModelSampling + +warnings.filterwarnings("ignore", category=FutureWarning) + +def _ensure_cloudpickle(): + try: + import cloudpickle # noqa: F401 + except ModuleNotFoundError: + subprocess.check_call( + [sys.executable, "-m", "pip", "install", "--quiet", "cloudpickle"], + ) + +_ensure_cloudpickle() + +with open("/work/output-Benchmark-trainonly-v1/n3/bayesnet/bayesnet-n3-20260501_225103/bayesnet_model.pkl", "rb") as f: + bundle = pickle.load(f) + +network = bundle["network"] +inverse = bundle["inverse"] +cols = bundle["column_order"] +integer_columns = set(bundle.get("integer_columns") or []) +full_order = bundle.get("full_column_order") or cols +const_cols = bundle.get("const_cols") or {} + +num_rows = int(3918) +sampler = BayesianModelSampling(network) +raw = sampler.forward_sample(size=num_rows, show_progress=False) +raw = raw.reset_index(drop=True) +if len(raw) > num_rows: + raw = raw.iloc[:num_rows] +_tries = 0 +while len(raw) < num_rows and _tries < 64: + _tries += 1 + nextra = min(10000, num_rows - len(raw)) + more = sampler.forward_sample(size=max(nextra, 1), show_progress=False) + more = more.reset_index(drop=True) + if len(more) == 0: + break + raw = pd.concat([raw, more], ignore_index=True) + if len(raw) > num_rows: + raw = raw.iloc[:num_rows] + +out = pd.DataFrame(index=raw.index) +rng = np.random.default_rng() + +for c in cols: + if c in inverse["categorical"]: + levels = inverse["categorical"][c] + idx = raw[c].astype(int).to_numpy() + idx = np.clip(idx, 0, max(0, len(levels) - 1)) + out[c] = [levels[i] for i in idx] + else: + edges = np.asarray(inverse["continuous"][c], dtype=float) + if edges.size < 2: + out[c] = 0.0 + else: + nbin = edges.size - 1 + res = [] + for k in raw[c].astype(int).to_numpy(): + k = int(k) + if k < 0: + k = 0 + if k >= nbin: + k = nbin - 1 + lo, hi = float(edges[k]), float(edges[k + 1]) + if hi < lo: + lo, hi = hi, lo + v = rng.uniform(lo, hi) + if c in integer_columns: + v = int(round(v)) + res.append(v) + out[c] = res + +final = pd.DataFrame(index=out.index) +for c in full_order: + if c in const_cols: + final[c] = const_cols[c] + elif c in out.columns: + final[c] = out[c] + +dtypes = bundle.get("original_dtypes") or {} +for c, dts in dtypes.items(): + if c not in final.columns: + continue + try: + if "int" in dts: + final[c] = pd.to_numeric(final[c], errors="coerce").astype("Int64") + elif "float" in dts: + final[c] = pd.to_numeric(final[c], errors="coerce") + except Exception: + pass + +if len(final) != num_rows: + final = final.iloc[:num_rows].copy() +final = final.reset_index(drop=True) +final.to_csv("/work/output-Benchmark-trainonly-v1/n3/bayesnet/bayesnet-n3-20260501_225103/bayesnet-n3-3918-20260501_225112.csv", index=False) +print(f"[BayesNet] Generated {len(final)} rows (requested {num_rows}) -> /work/output-Benchmark-trainonly-v1/n3/bayesnet/bayesnet-n3-20260501_225103/bayesnet-n3-3918-20260501_225112.csv") diff --git a/SynthData0523/main/n3/bayesnet/bayesnet-n3-20260501_225103/_bayesnet_train.py b/SynthData0523/main/n3/bayesnet/bayesnet-n3-20260501_225103/_bayesnet_train.py new file mode 100644 index 0000000000000000000000000000000000000000..6f4775148165f0c3356a0cc2ea96c6b087285084 --- /dev/null +++ b/SynthData0523/main/n3/bayesnet/bayesnet-n3-20260501_225103/_bayesnet_train.py @@ -0,0 +1,133 @@ + +import json +import pickle +import subprocess +import sys +import warnings + +import numpy as np +import pandas as pd +from pgmpy.estimators import TreeSearch +from pgmpy.models import DiscreteBayesianNetwork +warnings.filterwarnings("ignore", category=FutureWarning) + +def _ensure_cloudpickle(): + try: + import cloudpickle # noqa: F401 + except ModuleNotFoundError: + subprocess.check_call( + [sys.executable, "-m", "pip", "install", "--quiet", "cloudpickle"], + ) + +_ensure_cloudpickle() + +with open("/work/output-Benchmark-trainonly-v1/n3/bayesnet/bayesnet-n3-20260501_225103/bayesnet_coltypes.json", "r", encoding="utf-8") as _f: + colmeta = json.load(_f) +integer_columns = set(colmeta.get("integer_columns") or []) + +df = pd.read_csv("/work/output-Benchmark-trainonly-v1/n3/bayesnet/bayesnet-n3-20260501_225103/staged/public/train.csv") +df = df.dropna(axis=1, how="all") +full_column_order = list(df.columns) + +const_cols = {} +for col in list(df.columns): + if df[col].nunique(dropna=True) <= 1: + const_cols[col] = df[col].iloc[0] if len(df) > 0 else None + df = df.drop(columns=[col]) + print(f"[BayesNet] Dropped zero-variance column '{col}'") + +const_path = "/work/output-Benchmark-trainonly-v1/n3/bayesnet/bayesnet-n3-20260501_225103/bayesnet_model.pkl".replace("bayesnet_model.pkl", "const_cols.json") +with open(const_path, "w", encoding="utf-8") as _f: + json.dump({k: str(v) for k, v in const_cols.items()}, _f) + +inverse = {"categorical": {}, "continuous": {}} +enc = pd.DataFrame(index=df.index) +_n_samples = len(df) +_n_plan = sum( + 1 for e in colmeta["columns"] if str(e.get("name", "")) in df.columns +) +max_bins = 10 +max_cat_levels = 256 +if _n_plan > 35 or _n_samples > 200000: + max_bins = 5 + max_cat_levels = 64 +if _n_plan > 55: + max_bins = 4 + max_cat_levels = 32 +print( + f"[BayesNet] max_bins={max_bins}, max_cat_levels={max_cat_levels} " + f"(cols_in_df={_n_plan}, rows={_n_samples})" +) + +for entry in colmeta["columns"]: + name = entry["name"] + if name not in df.columns: + continue + kind = entry["type"] + s = df[name] + if kind == "categorical": + s2 = s.astype(str).fillna("__NA__") + counts = s2.value_counts(dropna=False) + if len(counts) > max_cat_levels: + keep = set(counts.index[: max_cat_levels - 1].tolist()) + s2 = s2.map(lambda x: x if x in keep else "__OTHER__") + uniques = sorted(s2.dropna().unique(), key=lambda x: str(x)) + mapping = {str(v): i for i, v in enumerate(uniques)} + inverse["categorical"][name] = [uniques[i] for i in range(len(uniques))] + enc[name] = s2.map(lambda x, m=mapping: m.get(str(x), 0)).astype(int) + else: + s_num = pd.to_numeric(s, errors="coerce") + nu = int(s_num.nunique(dropna=True)) + q = min(max_bins, max(2, nu)) + if nu < 2: + enc[name] = np.zeros(len(s_num), dtype=int) + lo, hi = float(s_num.min()), float(s_num.max()) + inverse["continuous"][name] = [lo, hi] + else: + try: + _, bins = pd.qcut( + s_num, q=q, retbins=True, duplicates="drop" + ) + except Exception: + med = float(s_num.median()) + s2 = s_num.fillna(med) + _, bins = pd.qcut( + s2, q=min(q, 3), retbins=True, duplicates="drop" + ) + bins = np.asarray(bins, dtype=float) + lab = pd.cut( + s_num, bins=bins, labels=False, include_lowest=True + ) + enc[name] = lab.fillna(0).astype(int) + inverse["continuous"][name] = bins.tolist() + +print(f"[BayesNet] Training on {len(enc)} rows, {len(enc.columns)} cols (encoded)") + +enc_struct = enc +if len(enc) > 25000: + enc_struct = enc.sample(n=25000, random_state=0, replace=False) + print(f"[BayesNet] TreeSearch on {len(enc_struct)} rows (subsample; full n={len(enc)})") +dag = TreeSearch(enc_struct).estimate(show_progress=False) +for col in enc.columns: + if col not in dag.nodes(): + dag.add_node(col) + print(f"[BayesNet] Added isolated node to DAG: {col}") +network = DiscreteBayesianNetwork(dag) +enc_fit = enc +if len(enc) > 120000: + enc_fit = enc.sample(n=120000, random_state=1, replace=False) + print(f"[BayesNet] fit() on {len(enc_fit)} rows (full n={len(enc)})") +network.fit(enc_fit) + +bundle = { + "network": network, + "inverse": inverse, + "column_order": list(enc.columns), + "full_column_order": full_column_order, + "integer_columns": list(integer_columns), + "original_dtypes": {c: str(df[c].dtype) for c in enc.columns}, + "const_cols": const_cols, +} +with open("/work/output-Benchmark-trainonly-v1/n3/bayesnet/bayesnet-n3-20260501_225103/bayesnet_model.pkl", "wb") as _f: + pickle.dump(bundle, _f) +print(f"[BayesNet] Model saved -> /work/output-Benchmark-trainonly-v1/n3/bayesnet/bayesnet-n3-20260501_225103/bayesnet_model.pkl") diff --git a/SynthData0523/main/n3/bayesnet/bayesnet-n3-20260501_225103/bayesnet-n3-3918-20260501_225112.csv b/SynthData0523/main/n3/bayesnet/bayesnet-n3-20260501_225103/bayesnet-n3-3918-20260501_225112.csv new file mode 100644 index 0000000000000000000000000000000000000000..a3ed78f891f9df48792f0ea3f671688f9650fcda --- /dev/null +++ b/SynthData0523/main/n3/bayesnet/bayesnet-n3-20260501_225103/bayesnet-n3-3918-20260501_225112.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d2de956e460ab99a4a475ea7b2511548f85f6f1dda667d224b378fabb0c2c54e +size 807465 diff --git a/SynthData0523/main/n3/bayesnet/bayesnet-n3-20260501_225103/bayesnet_coltypes.json b/SynthData0523/main/n3/bayesnet/bayesnet-n3-20260501_225103/bayesnet_coltypes.json new file mode 100644 index 0000000000000000000000000000000000000000..59893d873ed1f60d3bbb17d18abfda70729fe810 --- /dev/null +++ b/SynthData0523/main/n3/bayesnet/bayesnet-n3-20260501_225103/bayesnet_coltypes.json @@ -0,0 +1,53 @@ +{ + "columns": [ + { + "name": "fixed acidity", + "type": "continuous" + }, + { + "name": "volatile acidity", + "type": "continuous" + }, + { + "name": "citric acid", + "type": "continuous" + }, + { + "name": "residual sugar", + "type": "continuous" + }, + { + "name": "chlorides", + "type": "continuous" + }, + { + "name": "free sulfur dioxide", + "type": "continuous" + }, + { + "name": "total sulfur dioxide", + "type": "continuous" + }, + { + "name": "density", + "type": "continuous" + }, + { + "name": "pH", + "type": "continuous" + }, + { + "name": "sulphates", + "type": "continuous" + }, + { + "name": "alcohol", + "type": "continuous" + }, + { + "name": "quality", + "type": "continuous" + } + ], + "integer_columns": [] +} \ No newline at end of file diff --git a/SynthData0523/main/n3/bayesnet/bayesnet-n3-20260501_225103/bayesnet_model.pkl b/SynthData0523/main/n3/bayesnet/bayesnet-n3-20260501_225103/bayesnet_model.pkl new file mode 100644 index 0000000000000000000000000000000000000000..6ea0fbeea7caaa2028344865d76bd34aad1eae86 --- /dev/null +++ b/SynthData0523/main/n3/bayesnet/bayesnet-n3-20260501_225103/bayesnet_model.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6796efb78000c399e81e0fc93d03b1d91f3c5d4aec0d0f61ad13d70100e0c1f5 +size 18294 diff --git a/SynthData0523/main/n3/bayesnet/bayesnet-n3-20260501_225103/const_cols.json b/SynthData0523/main/n3/bayesnet/bayesnet-n3-20260501_225103/const_cols.json new file mode 100644 index 0000000000000000000000000000000000000000..9e26dfeeb6e641a33dae4961196235bdb965b21b --- /dev/null +++ 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"/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/n3/bayesnet/bayesnet-n3-20260501_225103/public_gate/public_gate_report.json" +} \ No newline at end of file diff --git a/SynthData0523/main/n3/bayesnet/bayesnet-n3-20260501_225103/staged/public/staged_features.json b/SynthData0523/main/n3/bayesnet/bayesnet-n3-20260501_225103/staged/public/staged_features.json new file mode 100644 index 0000000000000000000000000000000000000000..08fe4d766d091d2f2ddba724a16b9509cbe4c390 --- /dev/null +++ b/SynthData0523/main/n3/bayesnet/bayesnet-n3-20260501_225103/staged/public/staged_features.json @@ -0,0 +1,62 @@ +[ + { + "feature_name": "fixed acidity", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "volatile acidity", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "citric acid", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "residual sugar", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "chlorides", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "free sulfur dioxide", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "total sulfur dioxide", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "density", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "pH", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "sulphates", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "alcohol", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "quality", + "data_type": "continuous", + "is_target": true + } +] \ No newline at end of file diff --git a/SynthData0523/main/n3/bayesnet/bayesnet-n3-20260501_225103/staged/public/test.csv b/SynthData0523/main/n3/bayesnet/bayesnet-n3-20260501_225103/staged/public/test.csv new file mode 100644 index 0000000000000000000000000000000000000000..db5cd50d3746410ea470625fa2ba2c8e9775cc0d --- /dev/null +++ b/SynthData0523/main/n3/bayesnet/bayesnet-n3-20260501_225103/staged/public/test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:19e107152a94432e2a37ff045c00cfe35e1be30208b1553080d7dd0ede256d3b +size 28944 diff --git a/SynthData0523/main/n3/bayesnet/bayesnet-n3-20260501_225103/staged/public/train.csv b/SynthData0523/main/n3/bayesnet/bayesnet-n3-20260501_225103/staged/public/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..87ca26726fe82ccbaa397919305b043c17eb374e --- /dev/null +++ b/SynthData0523/main/n3/bayesnet/bayesnet-n3-20260501_225103/staged/public/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7813c8cca73ba4bfc6559215257b341c21e459980ad17ae6ddc809306bc9a0b9 +size 229945 diff --git a/SynthData0523/main/n3/bayesnet/bayesnet-n3-20260501_225103/staged/public/val.csv b/SynthData0523/main/n3/bayesnet/bayesnet-n3-20260501_225103/staged/public/val.csv new file mode 100644 index 0000000000000000000000000000000000000000..6acf84c76c47093b513c46d5503972a2dff275c0 --- /dev/null +++ b/SynthData0523/main/n3/bayesnet/bayesnet-n3-20260501_225103/staged/public/val.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cf5979d9675567d9d6642640c9b84fc6c49e492604144723c30f50516c05cee6 +size 28791 diff --git a/SynthData0523/main/n3/bayesnet/bayesnet-n3-20260501_225103/train_20260501_225104.log b/SynthData0523/main/n3/bayesnet/bayesnet-n3-20260501_225103/train_20260501_225104.log new file mode 100644 index 0000000000000000000000000000000000000000..b5aff868cf2aec0b81c0fc8bfef5f229545ee88e --- /dev/null +++ b/SynthData0523/main/n3/bayesnet/bayesnet-n3-20260501_225103/train_20260501_225104.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:62ccdc6bb8d143b5e6ea6deccbac97f29a291610113c088a7479c26916b67c4c +size 3740 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/_ctgan_generate.py b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/_ctgan_generate.py new file mode 100644 index 0000000000000000000000000000000000000000..d06e1f78d54c175fd2734ad4935bf3f6f30bd03d --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/_ctgan_generate.py @@ -0,0 +1,18 @@ +import sys +sys.path.insert(0, "/work") +from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix +apply_ctgan_inverse_fix() +import pandas as pd +from ctgan.synthesizers.ctgan import CTGAN +model = CTGAN.load("/work/output-Benchmark-trainonly-v1/n3/ctgan/ctgan-n3-20260501_005113/models_300epochs/ctgan_300epochs.pt") +total = 3918 +chunk = min(50000, total) if total > 50000 else total +parts = [] +left = total +while left > 0: + take = min(chunk, left) + parts.append(model.sample(take)) + left -= take +sampled = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0] +sampled.to_csv("/work/output-Benchmark-trainonly-v1/n3/ctgan/ctgan-n3-20260501_005113/ctgan-n3-3918-20260501_005206.csv", index=False) +print("[CTGAN] Generated", total, "rows in", len(parts), "chunks ->", "/work/output-Benchmark-trainonly-v1/n3/ctgan/ctgan-n3-20260501_005113/ctgan-n3-3918-20260501_005206.csv") \ No newline at end of file diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/ctgan-n3-3918-20260501_005206.csv b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/ctgan-n3-3918-20260501_005206.csv new file mode 100644 index 0000000000000000000000000000000000000000..ec32a399d834082ce20c7ca1258493e5af836ada --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/ctgan-n3-3918-20260501_005206.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:eb7cca2ebbfceeae0f1a15299eca29196ab816349ca255cebba0e33c75dc726a +size 820521 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/ctgan_metadata.json b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/ctgan_metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7767b4ed10004391de75050c3351cda8f57271c2 --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/ctgan_metadata.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ed0fccab4b7468f519203802e4215d32d4b6dde84f2294dabfe9040e3af45d41 +size 851 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/gen_20260501_005206.log b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/gen_20260501_005206.log new file mode 100644 index 0000000000000000000000000000000000000000..ec6b63f77793154fb766459734950884dda24562 --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/gen_20260501_005206.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:81caeeeaeaf6811441143067d2e107b9757a8617e8ceafc51558327c2de93ab9 +size 560 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/input_snapshot.json b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..3b6a4508099da802bc7a0b6249513a05722e74e9 --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/input_snapshot.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:143cdf608f07c4da9f7824fe4d7618933e381eb0a80f5fa5cb39430f0d54a7c9 +size 1344 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/models_300epochs/ctgan_300epochs.pt b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/models_300epochs/ctgan_300epochs.pt new file mode 100644 index 0000000000000000000000000000000000000000..9c22d9fb40a1c43714045d0492a7e4b9bb921000 --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/models_300epochs/ctgan_300epochs.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:176d796bfa05f713777ae623d6f80b56211527bf706632d1776b0d656f748200 +size 1223587 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/models_300epochs/train_20260501_005114.log b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/models_300epochs/train_20260501_005114.log new file mode 100644 index 0000000000000000000000000000000000000000..1f3fb85f8ab4d9b5b25d820e0e352e99a846caf6 --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/models_300epochs/train_20260501_005114.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:470dccd1cffa96dcfb7b308419adeb2e29e2ee90f21ee7480c9e7a60623cd5b9 +size 2586 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/public_gate/normalized_schema_snapshot.json b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/public_gate/normalized_schema_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..de2eb975cd4598d89d1f197e208efa0729d167f5 --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/public_gate/normalized_schema_snapshot.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f0d6ea2b78489a6f1d2a4546e12404214ae439c9439a9922bea713ec72b4b12a +size 5698 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/public_gate/public_gate_report.json b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/public_gate/public_gate_report.json new file mode 100644 index 0000000000000000000000000000000000000000..d75621d194f263189fa5b229b3636437bcf1cd1b --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/public_gate/public_gate_report.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f0ef01a386dd32e531a00a2fe40df2aeed2cbeace8b0beab6956a3accd027a93 +size 914 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/public_gate/staged_input_manifest.json b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/public_gate/staged_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..27580be63ca9fc6c91138a0383d8119e00136a2d --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/public_gate/staged_input_manifest.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:56ba757c9ae351c03c9f0c840d7131fc87dbfaeda6e4d6dca6f9e35bcfccabd4 +size 6484 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/runtime_result.json b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/runtime_result.json new file mode 100644 index 0000000000000000000000000000000000000000..27ee5051591ebd05e4c67fe27d3863e1982232ac --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/runtime_result.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:602f7d26089684133d5a90cfa6dffcac53f59f0550bc9fb2db5b070e8386e03e +size 902 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/staged/ctgan/adapter_report.json b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/staged/ctgan/adapter_report.json new file mode 100644 index 0000000000000000000000000000000000000000..1369a9ec30835029f18d36a16b42cebae6dbb88d --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/staged/ctgan/adapter_report.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:018372873f0d40c70acf70e8d0306bcb69ecdb188d820939478a7540f2ed1831 +size 315 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/staged/ctgan/adapter_transforms_applied.json b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/staged/ctgan/adapter_transforms_applied.json new file mode 100644 index 0000000000000000000000000000000000000000..6f3aaa01a627a955d2022165805d2786c0da78ba --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/staged/ctgan/adapter_transforms_applied.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945 +size 2 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/staged/ctgan/model_input_manifest.json b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/staged/ctgan/model_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e776f6bb7b82b46b1605cfadc6911b4698cd751b --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/staged/ctgan/model_input_manifest.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2b8ad1938f0ba091b79bbc1f2f53ecdcb23f4936e93c98cdf74dbc4bd4fbe6fb +size 6675 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/staged/public/staged_features.json b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/staged/public/staged_features.json new file mode 100644 index 0000000000000000000000000000000000000000..2c89eee7ba7f48b6e72fbf9bbdeb46bbef0681d5 --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/staged/public/staged_features.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:554e7aee4c0517bcf9d7810fc4a5563b6ed24d721bc267fee16aa28edd889143 +size 1179 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/staged/public/test.csv b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/staged/public/test.csv new file mode 100644 index 0000000000000000000000000000000000000000..db5cd50d3746410ea470625fa2ba2c8e9775cc0d --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/staged/public/test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:19e107152a94432e2a37ff045c00cfe35e1be30208b1553080d7dd0ede256d3b +size 28944 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/staged/public/train.csv b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/staged/public/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..87ca26726fe82ccbaa397919305b043c17eb374e --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/staged/public/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7813c8cca73ba4bfc6559215257b341c21e459980ad17ae6ddc809306bc9a0b9 +size 229945 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/staged/public/val.csv b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/staged/public/val.csv new file mode 100644 index 0000000000000000000000000000000000000000..6acf84c76c47093b513c46d5503972a2dff275c0 --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260501_005113/staged/public/val.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cf5979d9675567d9d6642640c9b84fc6c49e492604144723c30f50516c05cee6 +size 28791 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/_ctgan_generate.py b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/_ctgan_generate.py new file mode 100644 index 0000000000000000000000000000000000000000..b820b344bc742aa80cfe43715de01bbef1be7c65 --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/_ctgan_generate.py @@ -0,0 +1,18 @@ +import sys +sys.path.insert(0, "/work") +from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix +apply_ctgan_inverse_fix() +import pandas as pd +from ctgan.synthesizers.ctgan import CTGAN +model = CTGAN.load("/work/output-Benchmark-trainonly-v1/n3/ctgan/ctgan-n3-20260504_163226/models_50epochs/ctgan_50epochs.pt") +total = 3918 +chunk = min(50000, total) if total > 50000 else total +parts = [] +left = total +while left > 0: + take = min(chunk, left) + parts.append(model.sample(take)) + left -= take +sampled = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0] +sampled.to_csv("/work/output-Benchmark-trainonly-v1/n3/ctgan/ctgan-n3-20260504_163226/ctgan-n3-3918-20260504_163441.csv", index=False) +print("[CTGAN] Generated", total, "rows in", len(parts), "chunks ->", "/work/output-Benchmark-trainonly-v1/n3/ctgan/ctgan-n3-20260504_163226/ctgan-n3-3918-20260504_163441.csv") \ No newline at end of file diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/_ctgan_train.py b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/_ctgan_train.py new file mode 100644 index 0000000000000000000000000000000000000000..7cdd5c75b05c8b9cba66e0199f95e5ab98dd3c05 --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/_ctgan_train.py @@ -0,0 +1,17 @@ +import pandas as pd +from ctgan.synthesizers.ctgan import CTGAN + +data = pd.read_csv("/work/output-Benchmark-trainonly-v1/n3/ctgan/ctgan-n3-20260504_163226/staged/public/train.csv") +discrete_columns = [] +model = CTGAN( + embedding_dim=8, + generator_dim=(16, 16), + discriminator_dim=(16, 16), + batch_size=32, + pac=1, + epochs=50, + verbose=True, +) +model.fit(data, discrete_columns) +model.save("/work/output-Benchmark-trainonly-v1/n3/ctgan/ctgan-n3-20260504_163226/models_50epochs/ctgan_50epochs.pt") +print("[CTGAN] Saved model ->", "/work/output-Benchmark-trainonly-v1/n3/ctgan/ctgan-n3-20260504_163226/models_50epochs/ctgan_50epochs.pt") \ No newline at end of file diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/ctgan-n3-3918-20260504_163441.csv b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/ctgan-n3-3918-20260504_163441.csv new file mode 100644 index 0000000000000000000000000000000000000000..a1d9e9c1d0add5c9ffff28dabcef3a7f5aa6950e --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/ctgan-n3-3918-20260504_163441.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8f14ad83416025a5455f69cec6d63e5314c344048ab5372353ae3ca5d75ce34a +size 820708 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/ctgan_metadata.json b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/ctgan_metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7767b4ed10004391de75050c3351cda8f57271c2 --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/ctgan_metadata.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ed0fccab4b7468f519203802e4215d32d4b6dde84f2294dabfe9040e3af45d41 +size 851 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/gen_20260504_163441.log b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/gen_20260504_163441.log new file mode 100644 index 0000000000000000000000000000000000000000..8eaf0a5f880a368aac68190507b2428610e0d853 --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/gen_20260504_163441.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dd91dc885739943a172da5fe8f7b656b43c8c09a7a306e321dd06d8bd4651ba3 +size 297 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/input_snapshot.json b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..3b6a4508099da802bc7a0b6249513a05722e74e9 --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/input_snapshot.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:143cdf608f07c4da9f7824fe4d7618933e381eb0a80f5fa5cb39430f0d54a7c9 +size 1344 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/models_50epochs/ctgan_50epochs.pt b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/models_50epochs/ctgan_50epochs.pt new file mode 100644 index 0000000000000000000000000000000000000000..bbb0cbaacbc817307e5522ddef85dc880bb14d45 --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/models_50epochs/ctgan_50epochs.pt 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a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/public_gate/staged_input_manifest.json b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/public_gate/staged_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f85eb86cb11048062d3f5752c1de174cb60a53ea --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/public_gate/staged_input_manifest.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:234ccc3d0ae3b23183f144d1a8f723d292950bb9a2c4a55640ea9028a22d771a +size 6484 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/run_config.json b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/run_config.json new file mode 100644 index 0000000000000000000000000000000000000000..8a82bf00c222506815fd6b326e79d828d33b0690 --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/run_config.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:eb28603e7798069337e3b4c6059660510f87546877723e3653a82c2087d340e4 +size 2150 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/runtime_result.json b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/runtime_result.json new file mode 100644 index 0000000000000000000000000000000000000000..30cf8a80d94b58eff69d3b220ad5af245ac0144d --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/runtime_result.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:717cdec8def9a23db69fc872bb07a5885234f2367e3a673edaebb8321304c322 +size 901 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/staged/ctgan/adapter_report.json b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/staged/ctgan/adapter_report.json new file mode 100644 index 0000000000000000000000000000000000000000..b11bce46c1df5bd0ae82272fa5b3e79e7b9d189d --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/staged/ctgan/adapter_report.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ababeab2f48dc16dc0d42fce98b092e954ee9f898e94217bcd3117eb440cb2ac +size 315 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/staged/ctgan/adapter_transforms_applied.json b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/staged/ctgan/adapter_transforms_applied.json new file mode 100644 index 0000000000000000000000000000000000000000..6f3aaa01a627a955d2022165805d2786c0da78ba --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/staged/ctgan/adapter_transforms_applied.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945 +size 2 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/staged/ctgan/model_input_manifest.json b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/staged/ctgan/model_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..86b91d274e264ca16aebcbac5bfc052277c3d287 --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/staged/ctgan/model_input_manifest.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c95c1c055e7ba4c99d147557892ea39bd9c17707bb8d6ded34c4319b13d6c8f7 +size 6675 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/staged/public/staged_features.json b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/staged/public/staged_features.json new file mode 100644 index 0000000000000000000000000000000000000000..2c89eee7ba7f48b6e72fbf9bbdeb46bbef0681d5 --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/staged/public/staged_features.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:554e7aee4c0517bcf9d7810fc4a5563b6ed24d721bc267fee16aa28edd889143 +size 1179 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/staged/public/test.csv b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/staged/public/test.csv new file mode 100644 index 0000000000000000000000000000000000000000..db5cd50d3746410ea470625fa2ba2c8e9775cc0d --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/staged/public/test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:19e107152a94432e2a37ff045c00cfe35e1be30208b1553080d7dd0ede256d3b +size 28944 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/staged/public/train.csv b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/staged/public/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..87ca26726fe82ccbaa397919305b043c17eb374e --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/staged/public/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7813c8cca73ba4bfc6559215257b341c21e459980ad17ae6ddc809306bc9a0b9 +size 229945 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/staged/public/val.csv b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/staged/public/val.csv new file mode 100644 index 0000000000000000000000000000000000000000..6acf84c76c47093b513c46d5503972a2dff275c0 --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163226/staged/public/val.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cf5979d9675567d9d6642640c9b84fc6c49e492604144723c30f50516c05cee6 +size 28791 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/_ctgan_generate.py b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/_ctgan_generate.py new file mode 100644 index 0000000000000000000000000000000000000000..22ab4eff2cf36a3dbade7c9717bd82f27574e27a --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/_ctgan_generate.py @@ -0,0 +1,18 @@ +import sys +sys.path.insert(0, "/work") +from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix +apply_ctgan_inverse_fix() +import pandas as pd +from ctgan.synthesizers.ctgan import CTGAN +model = CTGAN.load("/work/output-Benchmark-trainonly-v1/n3/ctgan/ctgan-n3-20260504_163500/models_100epochs/ctgan_100epochs.pt") +total = 3918 +chunk = min(50000, total) if total > 50000 else total +parts = [] +left = total +while left > 0: + take = min(chunk, left) + parts.append(model.sample(take)) + left -= take +sampled = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0] +sampled.to_csv("/work/output-Benchmark-trainonly-v1/n3/ctgan/ctgan-n3-20260504_163500/ctgan-n3-3918-20260504_163716.csv", index=False) +print("[CTGAN] Generated", total, "rows in", len(parts), "chunks ->", "/work/output-Benchmark-trainonly-v1/n3/ctgan/ctgan-n3-20260504_163500/ctgan-n3-3918-20260504_163716.csv") \ No newline at end of file diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/_ctgan_train.py b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/_ctgan_train.py new file mode 100644 index 0000000000000000000000000000000000000000..efefe23c3f4c3b677bdbdd9cd49c5023cb93ec59 --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/_ctgan_train.py @@ -0,0 +1,17 @@ +import pandas as pd +from ctgan.synthesizers.ctgan import CTGAN + +data = pd.read_csv("/work/output-Benchmark-trainonly-v1/n3/ctgan/ctgan-n3-20260504_163500/staged/public/train.csv") +discrete_columns = [] +model = CTGAN( + embedding_dim=16, + generator_dim=(32, 32), + discriminator_dim=(32, 32), + batch_size=64, + pac=1, + epochs=100, + verbose=True, +) +model.fit(data, discrete_columns) +model.save("/work/output-Benchmark-trainonly-v1/n3/ctgan/ctgan-n3-20260504_163500/models_100epochs/ctgan_100epochs.pt") +print("[CTGAN] Saved model ->", "/work/output-Benchmark-trainonly-v1/n3/ctgan/ctgan-n3-20260504_163500/models_100epochs/ctgan_100epochs.pt") \ No newline at end of file diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/ctgan-n3-3918-20260504_163716.csv b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/ctgan-n3-3918-20260504_163716.csv new file mode 100644 index 0000000000000000000000000000000000000000..6ace7e6d64bae7d23ac937fe14b1aeba2bb87411 --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/ctgan-n3-3918-20260504_163716.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0af5beb641d31c47be95b72dcde43e1f2257348f4bbe820bc445b54a1373322b +size 820193 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/ctgan_metadata.json b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/ctgan_metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7767b4ed10004391de75050c3351cda8f57271c2 --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/ctgan_metadata.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ed0fccab4b7468f519203802e4215d32d4b6dde84f2294dabfe9040e3af45d41 +size 851 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/gen_20260504_163716.log b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/gen_20260504_163716.log new file mode 100644 index 0000000000000000000000000000000000000000..69a4ef97164584d5346f7a0c46bc6e87b87e9510 --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/gen_20260504_163716.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:53729f3a0759d7538eadf40ce5d6b43a2f86e67ee8d865c88495bf00edbf30da +size 297 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/input_snapshot.json b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..3b6a4508099da802bc7a0b6249513a05722e74e9 --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/input_snapshot.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:143cdf608f07c4da9f7824fe4d7618933e381eb0a80f5fa5cb39430f0d54a7c9 +size 1344 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/models_100epochs/ctgan_100epochs.pt b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/models_100epochs/ctgan_100epochs.pt new file mode 100644 index 0000000000000000000000000000000000000000..8cae7c9f9e86d4a13fd9cf686d254b7c1325432b --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/models_100epochs/ctgan_100epochs.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f6b319defdbca7ac68458f1b02a5079de9a66fb276c7e650dc5edc6341fac652 +size 441827 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/models_100epochs/train_20260504_163500.log b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/models_100epochs/train_20260504_163500.log new file mode 100644 index 0000000000000000000000000000000000000000..b03100c01d1ea48000143060eedbf87f411ddfa9 --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/models_100epochs/train_20260504_163500.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:07a8341d5af0560c0fdf9128b8d26b3934333edd9f985540adbecb32ad24eedf +size 21140 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/public_gate/normalized_schema_snapshot.json b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/public_gate/normalized_schema_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..de2eb975cd4598d89d1f197e208efa0729d167f5 --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/public_gate/normalized_schema_snapshot.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f0d6ea2b78489a6f1d2a4546e12404214ae439c9439a9922bea713ec72b4b12a +size 5698 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/public_gate/public_gate_report.json b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/public_gate/public_gate_report.json new file mode 100644 index 0000000000000000000000000000000000000000..d75621d194f263189fa5b229b3636437bcf1cd1b --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/public_gate/public_gate_report.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f0ef01a386dd32e531a00a2fe40df2aeed2cbeace8b0beab6956a3accd027a93 +size 914 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/public_gate/staged_input_manifest.json b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/public_gate/staged_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2707f07a650166dc604cc528291c4591b11533e9 --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/public_gate/staged_input_manifest.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:818faeee566a5bc78ba6c3dc1410bb6fcf916e1629cbd13afb749f0463cd1743 +size 6484 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/run_config.json b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/run_config.json new file mode 100644 index 0000000000000000000000000000000000000000..96ea9b960d2736f7eb4f1b70f524376ce8c6b10a --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/run_config.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2029faaefbcc1d74fa99eba4a2ca8605593e7a9ce95cbc0b93fcca882d130abd +size 2154 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/runtime_result.json b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/runtime_result.json new file mode 100644 index 0000000000000000000000000000000000000000..6a3df8fec7d235942561715cb899def9265c240b --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/runtime_result.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c62de2ae81e85462265465ee9a9171bead415f3a3b8ed5101c6f37463485d7c2 +size 903 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/staged/ctgan/adapter_report.json b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/staged/ctgan/adapter_report.json new file mode 100644 index 0000000000000000000000000000000000000000..5ce0a35e2c4ce92b948a4bc57dc20d334a54927c --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/staged/ctgan/adapter_report.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:515eac99661a0f5d1262ee9104e7efc6fccce5eed779fb1f495e3530e468cd6b +size 315 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/staged/ctgan/adapter_transforms_applied.json b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/staged/ctgan/adapter_transforms_applied.json new file mode 100644 index 0000000000000000000000000000000000000000..6f3aaa01a627a955d2022165805d2786c0da78ba --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/staged/ctgan/adapter_transforms_applied.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4f53cda18c2baa0c0354bb5f9a3ecbe5ed12ab4d8e11ba873c2f11161202b945 +size 2 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/staged/ctgan/model_input_manifest.json b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/staged/ctgan/model_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0b58ded236fa13a4e5799a434550d7dae0eb20ab --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/staged/ctgan/model_input_manifest.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7a711cfda98a13664161d5ae568d0ab774dfb1ecb65fde9da0bcba69ded0d2e4 +size 6675 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/staged/public/staged_features.json b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/staged/public/staged_features.json new file mode 100644 index 0000000000000000000000000000000000000000..2c89eee7ba7f48b6e72fbf9bbdeb46bbef0681d5 --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/staged/public/staged_features.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:554e7aee4c0517bcf9d7810fc4a5563b6ed24d721bc267fee16aa28edd889143 +size 1179 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/staged/public/test.csv b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/staged/public/test.csv new file mode 100644 index 0000000000000000000000000000000000000000..db5cd50d3746410ea470625fa2ba2c8e9775cc0d --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/staged/public/test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:19e107152a94432e2a37ff045c00cfe35e1be30208b1553080d7dd0ede256d3b +size 28944 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/staged/public/train.csv b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/staged/public/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..87ca26726fe82ccbaa397919305b043c17eb374e --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/staged/public/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7813c8cca73ba4bfc6559215257b341c21e459980ad17ae6ddc809306bc9a0b9 +size 229945 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/staged/public/val.csv b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/staged/public/val.csv new file mode 100644 index 0000000000000000000000000000000000000000..6acf84c76c47093b513c46d5503972a2dff275c0 --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163500/staged/public/val.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cf5979d9675567d9d6642640c9b84fc6c49e492604144723c30f50516c05cee6 +size 28791 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163735/_ctgan_generate.py b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163735/_ctgan_generate.py new file mode 100644 index 0000000000000000000000000000000000000000..958966b7d26451c5cec305e5e95d971ad603c9f4 --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163735/_ctgan_generate.py @@ -0,0 +1,18 @@ +import sys +sys.path.insert(0, "/work") +from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix +apply_ctgan_inverse_fix() +import pandas as pd +from ctgan.synthesizers.ctgan import CTGAN +model = CTGAN.load("/work/output-Benchmark-trainonly-v1/n3/ctgan/ctgan-n3-20260504_163735/models_150epochs/ctgan_150epochs.pt") +total = 3918 +chunk = min(50000, total) if total > 50000 else total +parts = [] +left = total +while left > 0: + take = min(chunk, left) + parts.append(model.sample(take)) + left -= take +sampled = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0] +sampled.to_csv("/work/output-Benchmark-trainonly-v1/n3/ctgan/ctgan-n3-20260504_163735/ctgan-n3-3918-20260504_163919.csv", index=False) +print("[CTGAN] Generated", total, "rows in", len(parts), "chunks ->", "/work/output-Benchmark-trainonly-v1/n3/ctgan/ctgan-n3-20260504_163735/ctgan-n3-3918-20260504_163919.csv") \ No newline at end of file diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163735/_ctgan_train.py b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163735/_ctgan_train.py new file mode 100644 index 0000000000000000000000000000000000000000..37981c24b61b6ffbc8d764127aae6a5d20410d3e --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163735/_ctgan_train.py @@ -0,0 +1,17 @@ +import pandas as pd +from ctgan.synthesizers.ctgan import CTGAN + +data = pd.read_csv("/work/output-Benchmark-trainonly-v1/n3/ctgan/ctgan-n3-20260504_163735/staged/public/train.csv") +discrete_columns = [] +model = CTGAN( + embedding_dim=32, + generator_dim=(64, 64), + discriminator_dim=(64, 64), + batch_size=128, + pac=1, + epochs=150, + verbose=True, +) +model.fit(data, discrete_columns) +model.save("/work/output-Benchmark-trainonly-v1/n3/ctgan/ctgan-n3-20260504_163735/models_150epochs/ctgan_150epochs.pt") +print("[CTGAN] Saved model ->", "/work/output-Benchmark-trainonly-v1/n3/ctgan/ctgan-n3-20260504_163735/models_150epochs/ctgan_150epochs.pt") \ No newline at end of file diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163735/ctgan-n3-3918-20260504_163919.csv b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163735/ctgan-n3-3918-20260504_163919.csv new file mode 100644 index 0000000000000000000000000000000000000000..d01269246f4056aca40e395921ff81b5b22a970a --- /dev/null +++ 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0000000000000000000000000000000000000000..87ca26726fe82ccbaa397919305b043c17eb374e --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163735/staged/public/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7813c8cca73ba4bfc6559215257b341c21e459980ad17ae6ddc809306bc9a0b9 +size 229945 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163735/staged/public/val.csv b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163735/staged/public/val.csv new file mode 100644 index 0000000000000000000000000000000000000000..6acf84c76c47093b513c46d5503972a2dff275c0 --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163735/staged/public/val.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cf5979d9675567d9d6642640c9b84fc6c49e492604144723c30f50516c05cee6 +size 28791 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163938/_ctgan_generate.py b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163938/_ctgan_generate.py new file mode 100644 index 0000000000000000000000000000000000000000..11daec1d2a737e9b2a264f4628dd15c77d08202e --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163938/_ctgan_generate.py @@ -0,0 +1,18 @@ +import sys +sys.path.insert(0, "/work") +from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix +apply_ctgan_inverse_fix() +import pandas as pd +from ctgan.synthesizers.ctgan import CTGAN +model = CTGAN.load("/work/output-Benchmark-trainonly-v1/n3/ctgan/ctgan-n3-20260504_163938/models_100epochs/ctgan_100epochs.pt") +total = 3918 +chunk = min(50000, total) if total > 50000 else total +parts = [] +left = total +while left > 0: + take = min(chunk, left) + parts.append(model.sample(take)) + left -= take +sampled = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0] +sampled.to_csv("/work/output-Benchmark-trainonly-v1/n3/ctgan/ctgan-n3-20260504_163938/ctgan-n3-3918-20260504_164128.csv", index=False) +print("[CTGAN] Generated", total, "rows in", len(parts), "chunks ->", "/work/output-Benchmark-trainonly-v1/n3/ctgan/ctgan-n3-20260504_163938/ctgan-n3-3918-20260504_164128.csv") \ No newline at end of file diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163938/_ctgan_train.py b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163938/_ctgan_train.py new file mode 100644 index 0000000000000000000000000000000000000000..932023a5c4862392815be9d0fa56d2f3dcb84b5c --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163938/_ctgan_train.py @@ -0,0 +1,17 @@ +import pandas as pd +from ctgan.synthesizers.ctgan import CTGAN + +data = pd.read_csv("/work/output-Benchmark-trainonly-v1/n3/ctgan/ctgan-n3-20260504_163938/staged/public/train.csv") +discrete_columns = [] +model = CTGAN( + embedding_dim=16, + generator_dim=(32, 32), + discriminator_dim=(32, 32), + batch_size=80, + pac=5, + epochs=100, + verbose=True, +) +model.fit(data, discrete_columns) +model.save("/work/output-Benchmark-trainonly-v1/n3/ctgan/ctgan-n3-20260504_163938/models_100epochs/ctgan_100epochs.pt") +print("[CTGAN] Saved model ->", "/work/output-Benchmark-trainonly-v1/n3/ctgan/ctgan-n3-20260504_163938/models_100epochs/ctgan_100epochs.pt") \ No newline at end of file diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163938/ctgan-n3-3918-20260504_164128.csv b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163938/ctgan-n3-3918-20260504_164128.csv new file mode 100644 index 0000000000000000000000000000000000000000..5506dd849d4d391e8754bc60cff1a6da38745e26 --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163938/ctgan-n3-3918-20260504_164128.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:93d55cffc061237adad6514ad0b9d5b22ab70147932c96f5cde041ff0f2ce05c +size 821320 diff --git 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b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163938/staged/public/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7813c8cca73ba4bfc6559215257b341c21e459980ad17ae6ddc809306bc9a0b9 +size 229945 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163938/staged/public/val.csv b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163938/staged/public/val.csv new file mode 100644 index 0000000000000000000000000000000000000000..6acf84c76c47093b513c46d5503972a2dff275c0 --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_163938/staged/public/val.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cf5979d9675567d9d6642640c9b84fc6c49e492604144723c30f50516c05cee6 +size 28791 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_164147/_ctgan_generate.py b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_164147/_ctgan_generate.py new file mode 100644 index 0000000000000000000000000000000000000000..ce16fd64962b33468b0055b7bdf9bc8546696887 --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_164147/_ctgan_generate.py @@ -0,0 +1,18 @@ +import sys +sys.path.insert(0, "/work") +from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix +apply_ctgan_inverse_fix() +import pandas as pd +from ctgan.synthesizers.ctgan import CTGAN +model = CTGAN.load("/work/output-Benchmark-trainonly-v1/n3/ctgan/ctgan-n3-20260504_164147/models_200epochs/ctgan_200epochs.pt") +total = 3918 +chunk = min(50000, total) if total > 50000 else total +parts = [] +left = total +while left > 0: + take = min(chunk, left) + parts.append(model.sample(take)) + left -= take +sampled = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0] +sampled.to_csv("/work/output-Benchmark-trainonly-v1/n3/ctgan/ctgan-n3-20260504_164147/ctgan-n3-3918-20260504_164434.csv", index=False) +print("[CTGAN] Generated", total, "rows in", len(parts), "chunks ->", "/work/output-Benchmark-trainonly-v1/n3/ctgan/ctgan-n3-20260504_164147/ctgan-n3-3918-20260504_164434.csv") \ No newline at end of file diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_164147/_ctgan_train.py b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_164147/_ctgan_train.py new file mode 100644 index 0000000000000000000000000000000000000000..74c218a06e4ff52752bd2e472c3d7754f1d49e1a --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_164147/_ctgan_train.py @@ -0,0 +1,17 @@ +import pandas as pd +from ctgan.synthesizers.ctgan import CTGAN + +data = pd.read_csv("/work/output-Benchmark-trainonly-v1/n3/ctgan/ctgan-n3-20260504_164147/staged/public/train.csv") +discrete_columns = [] +model = CTGAN( + embedding_dim=32, + generator_dim=(64, 64), + discriminator_dim=(64, 64), + batch_size=100, + pac=10, + epochs=200, + verbose=True, +) +model.fit(data, discrete_columns) +model.save("/work/output-Benchmark-trainonly-v1/n3/ctgan/ctgan-n3-20260504_164147/models_200epochs/ctgan_200epochs.pt") +print("[CTGAN] Saved model ->", "/work/output-Benchmark-trainonly-v1/n3/ctgan/ctgan-n3-20260504_164147/models_200epochs/ctgan_200epochs.pt") \ No newline at end of file diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_164147/ctgan-n3-3918-20260504_164434.csv b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_164147/ctgan-n3-3918-20260504_164434.csv new file mode 100644 index 0000000000000000000000000000000000000000..f227eb8a8114bb08526db72cb68358776eff32ca --- /dev/null +++ b/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_164147/ctgan-n3-3918-20260504_164434.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5cef0aba072b44c34ebff73200196215ccf66da1c54e39ea715d23d26bb30627 +size 820612 diff --git a/SynthData0523/main/n3/ctgan/ctgan-n3-20260504_164147/ctgan_metadata.json 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a/SynthData0523/main/n3/forestdiffusion/forest-n3-20260501_180619/_fd_gen.py b/SynthData0523/main/n3/forestdiffusion/forest-n3-20260501_180619/_fd_gen.py new file mode 100644 index 0000000000000000000000000000000000000000..3faf692aec8e754cc83be1780f972f41046bdc13 --- /dev/null +++ b/SynthData0523/main/n3/forestdiffusion/forest-n3-20260501_180619/_fd_gen.py @@ -0,0 +1,8 @@ + +import joblib, pandas as pd +m, meta = joblib.load(r'/work/output-Benchmark-trainonly-v1/n3/forestdiffusion/forest-n3-20260501_180619/forestdiffusion_model.joblib') +# generate：batch_size 为样本数 +arr = m.generate(batch_size=int(3918)) +df = pd.DataFrame(arr, columns=meta["column_names"]) +df.to_csv(r'/work/output-Benchmark-trainonly-v1/n3/forestdiffusion/forest-n3-20260501_180619/forest-n3-3918-20260501_180740.csv', index=False) +print("saved", len(df)) diff --git a/SynthData0523/main/n3/forestdiffusion/forest-n3-20260501_180619/_fd_meta_host.json b/SynthData0523/main/n3/forestdiffusion/forest-n3-20260501_180619/_fd_meta_host.json new file mode 100644 index 0000000000000000000000000000000000000000..c65de394e081438752dd19dc6672d70748924abc --- /dev/null +++ b/SynthData0523/main/n3/forestdiffusion/forest-n3-20260501_180619/_fd_meta_host.json @@ -0,0 +1 @@ +{"column_names": ["fixed acidity", "volatile acidity", "citric acid", "residual sugar", "chlorides", "free sulfur dioxide", "total sulfur dioxide", "density", "pH", "sulphates", "alcohol", "quality"], "cat_indexes": []} \ No newline at end of file diff --git a/SynthData0523/main/n3/forestdiffusion/forest-n3-20260501_180619/_fd_train.py b/SynthData0523/main/n3/forestdiffusion/forest-n3-20260501_180619/_fd_train.py new file mode 100644 index 0000000000000000000000000000000000000000..1c0813a1369f8a258815c4800dec650556ea556b --- /dev/null +++ b/SynthData0523/main/n3/forestdiffusion/forest-n3-20260501_180619/_fd_train.py @@ -0,0 +1,28 @@ + +import shutil, json +shutil.copy(r'/work/output-Benchmark-trainonly-v1/n3/forestdiffusion/forest-n3-20260501_180619/_fd_X_host.npy', '/tmp/fd_X.npy') +with open(r'/work/output-Benchmark-trainonly-v1/n3/forestdiffusion/forest-n3-20260501_180619/_fd_meta_host.json') as f: + open('/tmp/fd_meta.json','w').write(f.read()) + +import numpy as np, joblib, json, os +from ForestDiffusion import ForestDiffusionModel +X = np.load("/tmp/fd_X.npy") +with open("/tmp/fd_meta.json") as f: + meta = json.load(f) +cat_indexes = meta["cat_indexes"] +print( + "[ForestDiffusion] train config: " + f"rows={X.shape[0]} cols={X.shape[1]} n_t=20 " + f"n_estimators=100 duplicate_K=20 n_jobs=2 " + f"xgb_verbosity=1", + flush=True, +) +m = ForestDiffusionModel( + X, n_t=20, n_estimators=100, duplicate_K=20, n_jobs=2, + model="xgboost", max_depth=6, tree_method="hist", cat_indexes=cat_indexes, + verbosity=1, +) +joblib.dump((m, meta), "/tmp/fd_model.joblib") +print("ForestDiffusion train OK") + +shutil.copy('/tmp/fd_model.joblib', r'/work/output-Benchmark-trainonly-v1/n3/forestdiffusion/forest-n3-20260501_180619/forestdiffusion_model.joblib') diff --git a/SynthData0523/main/n3/forestdiffusion/forest-n3-20260501_180619/forest-n3-3918-20260501_180740.csv b/SynthData0523/main/n3/forestdiffusion/forest-n3-20260501_180619/forest-n3-3918-20260501_180740.csv new file mode 100644 index 0000000000000000000000000000000000000000..cfa4da5be903431d017be79f314fe3b0415237a2 --- /dev/null +++ b/SynthData0523/main/n3/forestdiffusion/forest-n3-20260501_180619/forest-n3-3918-20260501_180740.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ba66ea66dacc146b67856a7dd5b7ed0f8817ed2ded8072d10cc6b928b499ac4e +size 807469 diff --git a/SynthData0523/main/n3/forestdiffusion/forest-n3-20260501_180619/forestdiffusion_model.joblib b/SynthData0523/main/n3/forestdiffusion/forest-n3-20260501_180619/forestdiffusion_model.joblib new file mode 100644 index 0000000000000000000000000000000000000000..dab33bf8088b3dc6fa4a9faafe7fa22fa997e3db --- /dev/null +++ b/SynthData0523/main/n3/forestdiffusion/forest-n3-20260501_180619/forestdiffusion_model.joblib @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:66e33e576edc1764bb9aa9241fd93cc76909c92d632f5f6ec59032c1077da881 +size 112963525 diff --git a/SynthData0523/main/n3/forestdiffusion/forest-n3-20260501_180619/gen_20260501_180740.log b/SynthData0523/main/n3/forestdiffusion/forest-n3-20260501_180619/gen_20260501_180740.log new file mode 100644 index 0000000000000000000000000000000000000000..b3f05143e2ba4c0228a38881e76584277577370d --- /dev/null +++ b/SynthData0523/main/n3/forestdiffusion/forest-n3-20260501_180619/gen_20260501_180740.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:64470da0846551efa04a9c102196df00df47ef0fb56dda8937a30799fdcd3f94 +size 294 diff --git a/SynthData0523/main/n3/forestdiffusion/forest-n3-20260501_180619/input_snapshot.json b/SynthData0523/main/n3/forestdiffusion/forest-n3-20260501_180619/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..1706b1e21e3ea594c0730d0ec7b58ca4e0d54ac2 --- /dev/null +++ b/SynthData0523/main/n3/forestdiffusion/forest-n3-20260501_180619/input_snapshot.json @@ -0,0 +1,36 @@ +{ + "dataset_id": "n3", + "model": "forestdiffusion", + "inputs": { + "train_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n3/n3-train.csv", + "exists": true, + "size": 211519, + "sha256": "2160a06db2fea02adb0ebb79d8d853bd2544580be301e71f6e8deeb1489a9009" + }, + "val_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n3/n3-val.csv", + "exists": true, + "size": 26499, + "sha256": "d5ccfee07dfa9e7bdee5bb87642b43828e09f74c6cc0266a3d19d9feaa83106e" + }, + "test_csv": { + "path": 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0000000000000000000000000000000000000000..dab33bf8088b3dc6fa4a9faafe7fa22fa997e3db --- /dev/null +++ b/SynthData0523/main/n3/forestdiffusion/forest-n3-20260501_180619/models_fd/model.joblib @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:66e33e576edc1764bb9aa9241fd93cc76909c92d632f5f6ec59032c1077da881 +size 112963525 diff --git a/SynthData0523/main/n3/forestdiffusion/forest-n3-20260501_180619/public_gate/normalized_schema_snapshot.json b/SynthData0523/main/n3/forestdiffusion/forest-n3-20260501_180619/public_gate/normalized_schema_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..c41fe304503de23190a02e6cbfafa35b3bf134d3 --- /dev/null +++ b/SynthData0523/main/n3/forestdiffusion/forest-n3-20260501_180619/public_gate/normalized_schema_snapshot.json @@ -0,0 +1,259 @@ +{ + "dataset_id": "n3", + "target_column": "quality", + "task_type": "classification", + "columns": [ + { + "name": "fixed acidity", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 66, + "unique_ratio": 0.016845, + "example_values": [ + "7.1", + "8.5", + "6.4", + "6.8", + "7.6" + ] + } + }, + { + "name": "volatile acidity", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 121, + "unique_ratio": 0.030883, + "example_values": [ + "0.31", + "0.21", + "0.24", + "0.43", + "0.27" + ] + } + }, + { + "name": "citric acid", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 85, + "unique_ratio": 0.021695, + "example_values": [ + "0.17", + "0.41", + "0.31", + "0.25", + "0.3" + ] + } + }, + { + "name": "residual sugar", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 296, + "unique_ratio": 0.075549, + "example_values": [ + "1", + "4.3", + "2.8", + "13", + "12.9" + ] + } + }, + { + "name": "chlorides", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 147, + "unique_ratio": 0.037519, + "example_values": [ + "0.042", + "0.036", + "0.038", + "0.047", + "0.033" + ] + } + }, + { + "name": "free sulfur dioxide", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 120, + "unique_ratio": 0.030628, + "example_values": [ + "21", + "24", + "41", + "43", + "69" + ] + } + }, + { + "name": "total sulfur dioxide", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 244, + "unique_ratio": 0.062277, + "example_values": [ + "144", + "99", + "114", + "132", + "160" + ] + } + }, + { + "name": "density", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 839, + "unique_ratio": 0.21414, + "example_values": [ + "0.99304", + "0.9947", + "0.99155", + "0.98975", + "0.99705" + ] + } + }, + { + "name": "pH", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", 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"check_id": "PG004_missing_token_normalized", + "status": "pass" + }, + { + "check_id": "PG005_semantic_type_validated", + "status": "pass" + }, + { + "check_id": "PG006_target_defined_and_valid", + "status": "pass" + } + ], + "target_column": "quality", + "task_type": "classification", + "input_splits": { + "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n3/n3-train.csv", + "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n3/n3-val.csv", + "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n3/n3-test.csv" + } +} \ No newline at end of file diff --git a/SynthData0523/main/n3/forestdiffusion/forest-n3-20260501_180619/public_gate/staged_input_manifest.json b/SynthData0523/main/n3/forestdiffusion/forest-n3-20260501_180619/public_gate/staged_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b371bd9108aeac8b88d07a76a08645daf6c691bd --- /dev/null +++ b/SynthData0523/main/n3/forestdiffusion/forest-n3-20260501_180619/public_gate/staged_input_manifest.json @@ -0,0 +1,264 @@ +{ + "dataset_id": "n3", + "target_column": "quality", + "task_type": "classification", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/n3/forestdiffusion/forest-n3-20260501_180619/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/n3/forestdiffusion/forest-n3-20260501_180619/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/n3/forestdiffusion/forest-n3-20260501_180619/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/n3/forestdiffusion/forest-n3-20260501_180619/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/n3/forestdiffusion/forest-n3-20260501_180619/public_gate/public_gate_report.json", + "column_schema": [ + { + "name": "fixed acidity", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 66, + "unique_ratio": 0.016845, + "example_values": [ + "7.1", + "8.5", + "6.4", + "6.8", + "7.6" + ] + } + }, + { + "name": "volatile acidity", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 121, + "unique_ratio": 0.030883, + "example_values": [ + "0.31", + "0.21", + "0.24", + "0.43", + "0.27" + ] + } + }, + { + "name": "citric acid", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + 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