diff --git a/syntheticSuccess/c20/arf/arf-c20-20260324_073259/_arf_generate.py b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/_arf_generate.py new file mode 100644 index 0000000000000000000000000000000000000000..6f1b9208828db165d769f34591be286abae6a0bf --- /dev/null +++ b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/_arf_generate.py @@ -0,0 +1,6 @@ +import pickle +with open("/work/output-SpecializedModels/c20/arf/arf-c20-20260324_073259/arf_model.pkl", "rb") as f: + model = pickle.load(f) +syn = model.forge(n=35855) +syn.to_csv("/work/output-SpecializedModels/c20/arf/arf-c20-20260324_073259/arf-c20-35855-20260330_065506.csv", index=False) +print(f"[ARF] Generated 35855 rows -> /work/output-SpecializedModels/c20/arf/arf-c20-20260324_073259/arf-c20-35855-20260330_065506.csv") diff --git a/syntheticSuccess/c20/arf/arf-c20-20260324_073259/_arf_train.py b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/_arf_train.py new file mode 100644 index 0000000000000000000000000000000000000000..f771a22ad59bd67f2029cd3eaddda751212c1bfd --- /dev/null +++ b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/_arf_train.py @@ -0,0 +1,19 @@ +import pickle +import pandas as pd +from arfpy import arf + +df = pd.read_csv("/work/output-SpecializedModels/c20/arf/arf-c20-20260324_073259/staged/public/train.csv") +df = df.dropna(axis=1, how="all") +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-SpecializedModels/c20/arf/arf-c20-20260324_073259/arf_model.pkl", "wb") as f: + pickle.dump(model, f) +print(f"[ARF] Model saved -> /work/output-SpecializedModels/c20/arf/arf-c20-20260324_073259/arf_model.pkl") diff --git a/syntheticSuccess/c20/arf/arf-c20-20260324_073259/arf-c20-1000-20260324_073801.csv b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/arf-c20-1000-20260324_073801.csv new file mode 100644 index 0000000000000000000000000000000000000000..37f53fcb64abebd6fec6d9a75bd87ef4f7e4061f --- /dev/null +++ b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/arf-c20-1000-20260324_073801.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8a7be86f20d8ab28c8f896440c0b1af1a18c89854d0fa7b43c8336ffc16f19f1 +size 66568 diff --git a/syntheticSuccess/c20/arf/arf-c20-20260324_073259/arf-c20-35855-20260330_065506.csv b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/arf-c20-35855-20260330_065506.csv new file mode 100644 index 0000000000000000000000000000000000000000..599a649f2f522818697a316f6b54641da57bef27 --- /dev/null +++ b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/arf-c20-35855-20260330_065506.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bacdc11b7a7815f773f813de614c1068c08a2b4ca07a7c784095e35b0fe2aa2b +size 2395733 diff --git a/syntheticSuccess/c20/arf/arf-c20-20260324_073259/arf_model.pkl b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/arf_model.pkl new file mode 100644 index 0000000000000000000000000000000000000000..e0affb501a6edaaad731e7f4acb7a3fc4d8fb9a7 --- /dev/null +++ b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/arf_model.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:266c3611e5b1ff2cf3ac45ff07b07950fa53715adbc8e19cdf33392484d7a6e1 +size 116149296 diff --git a/syntheticSuccess/c20/arf/arf-c20-20260324_073259/gen_20260324_073801.log b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/gen_20260324_073801.log new file mode 100644 index 0000000000000000000000000000000000000000..1efd7d288e53d6596d7e0751f1c8dc93c5e456d5 --- /dev/null +++ b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/gen_20260324_073801.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:401d6ad3de8c106d9c8117238c393751a8a5f10d6a6535a96b160751b307c782 +size 441 diff --git a/syntheticSuccess/c20/arf/arf-c20-20260324_073259/gen_20260330_065506.log b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/gen_20260330_065506.log new file mode 100644 index 0000000000000000000000000000000000000000..39935fb8075a9eb5adf73027ebddb932c560bb27 --- /dev/null +++ b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/gen_20260330_065506.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cacbb5d7a6610594cd0f035d019a2708c943a2c9e8637c3bd9aad3fe52c319d6 +size 443 diff --git a/syntheticSuccess/c20/arf/arf-c20-20260324_073259/input_snapshot.json b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..43f00088fb3ebe8537897f32fe47768edd1229db --- /dev/null +++ b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/input_snapshot.json @@ -0,0 +1,36 @@ +{ + "dataset_id": "c20", + "model": "arf", + "inputs": { + "train_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-train.csv", + "exists": true, + "size": 537948, + "sha256": "7b491c9989a22d06db0c24422e76bf1d73173a7ba1760d5a3c4e5768c868ac21" + }, + "val_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-val.csv", + "exists": true, + "size": 67338, + "sha256": "82d69efb2fbd8ddf6e8d77d9070b3d299f619fded74e2956d3af4b34a9c95a75" + }, + "test_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-test.csv", + "exists": true, + "size": 67368, + "sha256": "ab311b2ccc419e2b1423bd27d4079912f464405ef8d37cd87e73ad147ed787ec" + }, + "profile_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c20/c20-dataset_profile.json", + "exists": true, + "size": 3686, + "sha256": "64a935250a31399f41982c61828d40ab90791bab84e8dc6201dbdfa4508092b8" + }, + "contract_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c20/c20-dataset_contract_v1.json", + "exists": true, + "size": 3867, + "sha256": "78c743a19951022e3cbae86814578ff8723146c3d216423edc4b94e1b233ad27" + } + } +} \ No newline at end of file diff --git a/syntheticSuccess/c20/arf/arf-c20-20260324_073259/public_gate/normalized_schema_snapshot.json b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/public_gate/normalized_schema_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..cec2d0784b7af841ccc2f6c9ebae396d125b6b16 --- /dev/null +++ b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/public_gate/normalized_schema_snapshot.json @@ -0,0 +1,152 @@ +{ + "dataset_id": "c20", + "target_column": "class", + "task_type": "classification", + "columns": [ + { + "name": "white_piece0_strength", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 5, + "unique_ratio": 0.000139, + "example_values": [ + "7", + "0", + "4", + "5", + "6" + ] + } + }, + { + "name": "white_piece0_file", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 7, + "unique_ratio": 0.000195, + "example_values": [ + "5", + "6", + "3", + "0", + "1" + ] + } + }, + { + "name": "white_piece0_rank", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 9, + "unique_ratio": 0.000251, + "example_values": [ + "8", + "0", + "1", + "3", + "7" + ] + } + }, + { + "name": "black_piece0_strength", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 5, + "unique_ratio": 0.000139, + "example_values": [ + "4", + "7", + "0", + "6", + "5" + ] + } + }, + { + "name": "black_piece0_file", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 7, + "unique_ratio": 0.000195, + "example_values": [ + "1", + "0", + "3", + "4", + "6" + ] + } + }, + { + "name": "black_piece0_rank", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 9, + "unique_ratio": 0.000251, + "example_values": [ + "7", + "2", + "5", + "1", + "4" + ] + } + }, + { + "name": "class", + "role": "target", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 8.4e-05, + "example_values": [ + "w", + "b", + "d" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticSuccess/c20/arf/arf-c20-20260324_073259/public_gate/public_gate_report.json b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/public_gate/public_gate_report.json new file mode 100644 index 0000000000000000000000000000000000000000..7c6872c0280d7e7ef8d16e613861f880d01ca1ba --- /dev/null +++ b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/public_gate/public_gate_report.json @@ -0,0 +1,37 @@ +{ + "dataset_id": "c20", + "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": "class", + "task_type": "classification", + "input_splits": { + "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-train.csv", + "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-val.csv", + "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-test.csv" + } +} \ No newline at end of file diff --git a/syntheticSuccess/c20/arf/arf-c20-20260324_073259/public_gate/staged_input_manifest.json b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/public_gate/staged_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..73b2b38a361e20e15ac34b558d6d11de920cba79 --- /dev/null +++ b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/public_gate/staged_input_manifest.json @@ -0,0 +1,157 @@ +{ + "dataset_id": "c20", + "target_column": "class", + "task_type": "classification", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/arf/arf-c20-20260324_073259/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/arf/arf-c20-20260324_073259/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/arf/arf-c20-20260324_073259/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/arf/arf-c20-20260324_073259/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/arf/arf-c20-20260324_073259/public_gate/public_gate_report.json", + "column_schema": [ + { + "name": "white_piece0_strength", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 5, + "unique_ratio": 0.000139, + "example_values": [ + "7", + "0", + "4", + "5", + "6" + ] + } + }, + { + "name": "white_piece0_file", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 7, + "unique_ratio": 0.000195, + "example_values": [ + "5", + "6", + "3", + "0", + "1" + ] + } + }, + { + "name": "white_piece0_rank", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 9, + "unique_ratio": 0.000251, + "example_values": [ + "8", + "0", + "1", + "3", + "7" + ] + } + }, + { + "name": "black_piece0_strength", + "role": "feature", + "semantic_type": "numeric", 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+ "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 8.4e-05, + "example_values": [ + "w", + "b", + "d" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticSuccess/c20/arf/arf-c20-20260324_073259/runtime_result.json b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/runtime_result.json new file mode 100644 index 0000000000000000000000000000000000000000..2ed1b9e2c88edf77f8f2a2c09c863917021577bf --- /dev/null +++ b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/runtime_result.json @@ -0,0 +1,14 @@ +{ + "dataset_id": "c20", + "model": "arf", + "run_id": "arf-c20-20260324_073259", + "public_gate_status": "pass", + "adapter_ready_status": "pass", + "train_status": "skipped", + "generate_status": "success", + "reason_code": null, + "reason_detail": null, + "artifacts": { + "synthetic_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/arf/arf-c20-20260324_073259/arf-c20-35855-20260330_065506.csv" + } +} \ No newline at end of file diff --git a/syntheticSuccess/c20/arf/arf-c20-20260324_073259/staged/arf/adapter_report.json b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/staged/arf/adapter_report.json new file mode 100644 index 0000000000000000000000000000000000000000..b99c277528a6e07ec12cbd667a9b69fc963ac1b0 --- /dev/null +++ b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/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-SpecializedModels/c20/arf/arf-c20-20260324_073259/staged/arf/model_input_manifest.json" +} \ No newline at end of file diff --git a/syntheticSuccess/c20/arf/arf-c20-20260324_073259/staged/arf/adapter_transforms_applied.json b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/staged/arf/adapter_transforms_applied.json new file mode 100644 index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc --- /dev/null +++ b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/staged/arf/adapter_transforms_applied.json @@ -0,0 +1 @@ +[] \ No newline at end of file diff --git a/syntheticSuccess/c20/arf/arf-c20-20260324_073259/staged/arf/model_input_manifest.json b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/staged/arf/model_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9585975aa650b846c472a08e9fb98269eb5d55f2 --- /dev/null +++ b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/staged/arf/model_input_manifest.json @@ -0,0 +1,159 @@ +{ + "dataset_id": "c20", + "model": "arf", + "target_column": "class", + "task_type": "classification", + "column_schema": [ + { + "name": "white_piece0_strength", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 5, + "unique_ratio": 0.000139, + "example_values": [ + "7", + "0", + "4", + "5", + "6" + ] + } + }, + { + "name": "white_piece0_file", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 7, + "unique_ratio": 0.000195, + "example_values": [ + "5", + "6", + "3", + "0", + "1" + ] + } + }, + { + "name": "white_piece0_rank", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 9, + "unique_ratio": 0.000251, + "example_values": [ + "8", + "0", + "1", + "3", + "7" + ] + } + }, + { + "name": "black_piece0_strength", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 5, + "unique_ratio": 0.000139, + "example_values": [ + "4", + "7", + "0", + "6", + "5" + ] + } + }, + { + "name": "black_piece0_file", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 7, + "unique_ratio": 0.000195, + "example_values": [ + "1", + "0", + "3", + "4", + "6" + ] + } + }, + { + "name": "black_piece0_rank", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 9, 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"/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/arf/arf-c20-20260324_073259/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/arf/arf-c20-20260324_073259/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/arf/arf-c20-20260324_073259/public_gate/public_gate_report.json" +} \ No newline at end of file diff --git a/syntheticSuccess/c20/arf/arf-c20-20260324_073259/staged/public/staged_features.json b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/staged/public/staged_features.json new file mode 100644 index 0000000000000000000000000000000000000000..7bfaf356cdd18982cf935867692dd592258079ce --- /dev/null +++ b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/staged/public/staged_features.json @@ -0,0 +1,37 @@ +[ + { + "feature_name": "white_piece0_strength", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "white_piece0_file", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "white_piece0_rank", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "black_piece0_strength", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "black_piece0_file", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "black_piece0_rank", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "class", + "data_type": "categorical", + "is_target": true + } +] \ No newline at end of file diff --git a/syntheticSuccess/c20/arf/arf-c20-20260324_073259/staged/public/test.csv b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/staged/public/test.csv new file mode 100644 index 0000000000000000000000000000000000000000..1dfe83d2431d05bdb226ca94c1b7c4fe34062ca8 --- /dev/null +++ b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/staged/public/test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0091c37417c2702c5bfc5aee9911927ba2c8c7de2233b2d5c72d5e530a503d88 +size 62884 diff --git a/syntheticSuccess/c20/arf/arf-c20-20260324_073259/staged/public/train.csv b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/staged/public/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..adcdeefff7f77daafc828ef33e49a9bbb470fa68 --- /dev/null +++ b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/staged/public/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c2c76c6d0e5ed6c6df6e6351254bc759b208e8f11d47f2ee114a65a38bc3e82a +size 502092 diff --git a/syntheticSuccess/c20/arf/arf-c20-20260324_073259/staged/public/val.csv b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/staged/public/val.csv new file mode 100644 index 0000000000000000000000000000000000000000..c57a7b71ea9170365d0ef493c96b2f07bf719f37 --- /dev/null +++ b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/staged/public/val.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5106c1dd013c7fef43fb35d4c4bb45fae99af977e1d18465006e726ec2ece73e +size 62856 diff --git a/syntheticSuccess/c20/arf/arf-c20-20260324_073259/train_20260324_073300.log b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/train_20260324_073300.log new file mode 100644 index 0000000000000000000000000000000000000000..0246ff091811f8d623acec5bb57b5304b02f9975 --- /dev/null +++ b/syntheticSuccess/c20/arf/arf-c20-20260324_073259/train_20260324_073300.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:99752546c5b491a5dc1a6b8099ee479de9c9c948bff739d10c5ef5f9e92a6830 +size 234 diff --git a/syntheticSuccess/c20/bayesnet/bayesnet-c20-20260321_075513/_bayesnet_generate.py b/syntheticSuccess/c20/bayesnet/bayesnet-c20-20260321_075513/_bayesnet_generate.py new file mode 100644 index 0000000000000000000000000000000000000000..64de562646a3baa352f74c10599a9e4115c5325f --- /dev/null +++ b/syntheticSuccess/c20/bayesnet/bayesnet-c20-20260321_075513/_bayesnet_generate.py @@ -0,0 +1,43 @@ +import subprocess, sys, os + +pip_libs = "/pip_libs" +sys.path.insert(0, pip_libs) +os.environ["PYTHONPATH"] = pip_libs + os.pathsep + os.environ.get("PYTHONPATH", "") + +def _ensure_deps(): + try: + import synthcity + except ModuleNotFoundError: + print("[BayesNet] synthcity not found - installing to cache...") + subprocess.run( + [sys.executable, "-m", "pip", "install", + "--target", pip_libs, "synthcity==0.2.12", "numpy<2", "-q"], + check=True + ) + import shutil, glob + for pat in ["torch", "torch-*", "torchvision", "torchvision-*", + "torchvision.libs", "torchgen", "nvidia*", "triton*"]: + for p in glob.glob(os.path.join(pip_libs, pat)): + if os.path.isdir(p): shutil.rmtree(p) + else: os.remove(p) + if pip_libs not in sys.path: + sys.path.insert(0, pip_libs) + +_ensure_deps() + +import pickle, json as _json +with open("/work/output-SpecializedModels/c20/bayesnet/bayesnet-c20-20260321_075513/bayesnet_model.pkl", "rb") as f: + plugin = pickle.load(f) +syn = plugin.generate(count=35855).dataframe() + +# Restore zero-variance columns that were dropped during training +const_path = "/work/output-SpecializedModels/c20/bayesnet/bayesnet-c20-20260321_075513/bayesnet_model.pkl".replace("bayesnet_model.pkl", "const_cols.json") +if os.path.exists(const_path): + with open(const_path) as _f: + const_cols = _json.load(_f) + for col, val in const_cols.items(): + syn[col] = val + print(f"[BayesNet] Restored constant column '{col}' = {val}") + +syn.to_csv("/work/output-SpecializedModels/c20/bayesnet/bayesnet-c20-20260321_075513/bayesnet-c20-35855-20260330_065507.csv", index=False) +print(f"[BayesNet] Generated 35855 rows -> /work/output-SpecializedModels/c20/bayesnet/bayesnet-c20-20260321_075513/bayesnet-c20-35855-20260330_065507.csv") diff --git a/syntheticSuccess/c20/bayesnet/bayesnet-c20-20260321_075513/_bayesnet_train.py b/syntheticSuccess/c20/bayesnet/bayesnet-c20-20260321_075513/_bayesnet_train.py new file mode 100644 index 0000000000000000000000000000000000000000..b5c4c24f1d736f5ef4ca954eb85c2da27845ad81 --- /dev/null +++ b/syntheticSuccess/c20/bayesnet/bayesnet-c20-20260321_075513/_bayesnet_train.py @@ -0,0 +1,62 @@ +import subprocess, sys, os + +pip_libs = "/pip_libs" +sys.path.insert(0, pip_libs) +os.environ["PYTHONPATH"] = pip_libs + os.pathsep + os.environ.get("PYTHONPATH", "") + +def _ensure_deps(): + try: + import synthcity + except ModuleNotFoundError: + print("[BayesNet] synthcity not found - installing to cache (first run, may take minutes)...") + # Install synthcity with numpy<2 to avoid conflicts + subprocess.run( + [sys.executable, "-m", "pip", "install", + "--target", pip_libs, "synthcity==0.2.12", "numpy<2", "-q"], + check=True + ) + # Remove torch/torchvision from pip_libs to avoid shadowing system versions + import shutil, glob + for pat in ["torch", "torch-*", "torchvision", "torchvision-*", + "torchvision.libs", "torchgen", "nvidia*", "triton*"]: + for p in glob.glob(os.path.join(pip_libs, pat)): + if os.path.isdir(p): shutil.rmtree(p) + else: os.remove(p) + if pip_libs not in sys.path: + sys.path.insert(0, pip_libs) + +_ensure_deps() + +from synthcity.plugins import Plugins +import pickle +import pandas as pd +from synthcity.plugins.core.dataloader import GenericDataLoader + +df = pd.read_csv("/work/output-SpecializedModels/c20/bayesnet/bayesnet-c20-20260321_075513/staged/public/train.csv") +df = df.dropna(axis=1, how="all") + +# Drop zero-variance columns (only 1 unique value) to avoid +# synthcity encoder KeyError during generation +import json as _json +const_cols = {} +for col in list(df.columns): + nuniq = df[col].nunique() + if nuniq <= 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}' (value={const_cols[col]})") + +# Save constant columns info so generate can restore them +const_path = "/work/output-SpecializedModels/c20/bayesnet/bayesnet-c20-20260321_075513/bayesnet_model.pkl".replace("bayesnet_model.pkl", "const_cols.json") +with open(const_path, "w") as _f: + _json.dump({k: str(v) for k, v in const_cols.items()}, _f) + +print(f"[BayesNet] Training on {len(df)} rows, {len(df.columns)} cols") + +loader = GenericDataLoader(df) +plugin = Plugins().get("bayesian_network") +plugin.fit(loader) + +with open("/work/output-SpecializedModels/c20/bayesnet/bayesnet-c20-20260321_075513/bayesnet_model.pkl", "wb") as f: + pickle.dump(plugin, f) +print(f"[BayesNet] Model saved -> /work/output-SpecializedModels/c20/bayesnet/bayesnet-c20-20260321_075513/bayesnet_model.pkl") diff --git a/syntheticSuccess/c20/bayesnet/bayesnet-c20-20260321_075513/bayesnet-c20-1000-20260321_075555.csv b/syntheticSuccess/c20/bayesnet/bayesnet-c20-20260321_075513/bayesnet-c20-1000-20260321_075555.csv new file mode 100644 index 0000000000000000000000000000000000000000..1cbd6b1cc764507cc0141015520f3a4fcc2c26e6 --- /dev/null +++ b/syntheticSuccess/c20/bayesnet/bayesnet-c20-20260321_075513/bayesnet-c20-1000-20260321_075555.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bc616a3eac16d086d6fef3d38a4dbe178b30e52cd4085b03c031576b84ed5562 +size 14122 diff --git a/syntheticSuccess/c20/bayesnet/bayesnet-c20-20260321_075513/bayesnet-c20-35855-20260330_065507.csv b/syntheticSuccess/c20/bayesnet/bayesnet-c20-20260321_075513/bayesnet-c20-35855-20260330_065507.csv new file mode 100644 index 0000000000000000000000000000000000000000..167fab277cc3620154ea4fd594218b4f2c444d79 --- /dev/null +++ b/syntheticSuccess/c20/bayesnet/bayesnet-c20-20260321_075513/bayesnet-c20-35855-20260330_065507.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0a720f37931b02fef38f9ab56d19599f75f68ccf112500902e6e3746a564c28d +size 502092 diff --git a/syntheticSuccess/c20/bayesnet/bayesnet-c20-20260321_075513/bayesnet_model.pkl b/syntheticSuccess/c20/bayesnet/bayesnet-c20-20260321_075513/bayesnet_model.pkl new file mode 100644 index 0000000000000000000000000000000000000000..d0193614771e238067550b9b6c3cd34509f6d9f8 --- /dev/null +++ b/syntheticSuccess/c20/bayesnet/bayesnet-c20-20260321_075513/bayesnet_model.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:83376241f4afff84475c541b8846501ccb838d621e215b9256041fb5130260cd +size 3936172 diff --git a/syntheticSuccess/c20/bayesnet/bayesnet-c20-20260321_075513/const_cols.json b/syntheticSuccess/c20/bayesnet/bayesnet-c20-20260321_075513/const_cols.json new file mode 100644 index 0000000000000000000000000000000000000000..9e26dfeeb6e641a33dae4961196235bdb965b21b --- /dev/null +++ b/syntheticSuccess/c20/bayesnet/bayesnet-c20-20260321_075513/const_cols.json @@ -0,0 +1 @@ +{} \ No newline at end of file diff --git a/syntheticSuccess/c20/bayesnet/bayesnet-c20-20260321_075513/gen_20260321_075555.log b/syntheticSuccess/c20/bayesnet/bayesnet-c20-20260321_075513/gen_20260321_075555.log new file mode 100644 index 0000000000000000000000000000000000000000..fe39390766399e2a35ad0d134dcf35b9756bd0b3 --- /dev/null +++ b/syntheticSuccess/c20/bayesnet/bayesnet-c20-20260321_075513/gen_20260321_075555.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:715cee23d2b30810463c9600fabf1e4898131e81a4c447b475052d90d068abb5 +size 483 diff --git a/syntheticSuccess/c20/bayesnet/bayesnet-c20-20260321_075513/gen_20260330_065507.log b/syntheticSuccess/c20/bayesnet/bayesnet-c20-20260321_075513/gen_20260330_065507.log new file mode 100644 index 0000000000000000000000000000000000000000..010639f37bd83d4b05d5888e3ec105a809c495c2 --- /dev/null +++ b/syntheticSuccess/c20/bayesnet/bayesnet-c20-20260321_075513/gen_20260330_065507.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:da5b1b3ab6a1ca12c730493482e07ba1045e05fa447f57f55bc07b1f4d628407 +size 485 diff --git a/syntheticSuccess/c20/bayesnet/bayesnet-c20-20260321_075513/input_snapshot.json b/syntheticSuccess/c20/bayesnet/bayesnet-c20-20260321_075513/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..99b4b72fbd8d37e9ac475aa65d59983c81d890ef --- /dev/null +++ b/syntheticSuccess/c20/bayesnet/bayesnet-c20-20260321_075513/input_snapshot.json @@ -0,0 +1,36 @@ +{ + "dataset_id": "c20", + "model": "bayesnet", + "inputs": { + "train_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-train.csv", + "exists": true, + "size": 537948, + "sha256": "7b491c9989a22d06db0c24422e76bf1d73173a7ba1760d5a3c4e5768c868ac21" + }, + "val_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-val.csv", + "exists": true, + "size": 67338, + "sha256": "82d69efb2fbd8ddf6e8d77d9070b3d299f619fded74e2956d3af4b34a9c95a75" + }, + "test_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-test.csv", + "exists": true, + "size": 67368, + "sha256": "ab311b2ccc419e2b1423bd27d4079912f464405ef8d37cd87e73ad147ed787ec" + }, + "profile_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c20/c20-dataset_profile.json", + "exists": true, + "size": 3686, + "sha256": "64a935250a31399f41982c61828d40ab90791bab84e8dc6201dbdfa4508092b8" + }, + "contract_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c20/c20-dataset_contract_v1.json", + "exists": true, + "size": 3867, + "sha256": "78c743a19951022e3cbae86814578ff8723146c3d216423edc4b94e1b233ad27" + } + } +} \ No newline at end of file diff --git a/syntheticSuccess/c20/bayesnet/bayesnet-c20-20260321_075513/public_gate/normalized_schema_snapshot.json b/syntheticSuccess/c20/bayesnet/bayesnet-c20-20260321_075513/public_gate/normalized_schema_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..cec2d0784b7af841ccc2f6c9ebae396d125b6b16 --- /dev/null +++ b/syntheticSuccess/c20/bayesnet/bayesnet-c20-20260321_075513/public_gate/normalized_schema_snapshot.json @@ -0,0 +1,152 @@ +{ + "dataset_id": "c20", + "target_column": "class", + "task_type": "classification", + "columns": [ + { + "name": "white_piece0_strength", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 5, + "unique_ratio": 0.000139, + "example_values": [ + "7", + "0", + "4", + "5", + "6" + ] + } + }, + { + "name": "white_piece0_file", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 7, + "unique_ratio": 0.000195, + "example_values": [ + "5", + "6", + "3", + "0", + "1" + ] + } + }, + { + "name": "white_piece0_rank", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 9, + "unique_ratio": 0.000251, + "example_values": [ + "8", + "0", + "1", + "3", + "7" + ] + } + }, + { + "name": "black_piece0_strength", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 5, + "unique_ratio": 0.000139, + "example_values": [ + "4", + "7", + "0", + "6", + "5" + ] + } + }, + { + "name": "black_piece0_file", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 7, + "unique_ratio": 0.000195, + "example_values": [ + "1", + "0", + "3", + "4", + "6" + ] + } + }, + { + "name": "black_piece0_rank", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 9, + "unique_ratio": 0.000251, + "example_values": [ + "7", + "2", + "5", + "1", + "4" + ] + } + }, + { + "name": "class", + "role": "target", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 8.4e-05, + "example_values": [ + "w", + "b", + "d" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticSuccess/c20/bayesnet/bayesnet-c20-20260321_075513/public_gate/public_gate_report.json b/syntheticSuccess/c20/bayesnet/bayesnet-c20-20260321_075513/public_gate/public_gate_report.json new file mode 100644 index 0000000000000000000000000000000000000000..7c6872c0280d7e7ef8d16e613861f880d01ca1ba --- /dev/null +++ b/syntheticSuccess/c20/bayesnet/bayesnet-c20-20260321_075513/public_gate/public_gate_report.json @@ -0,0 +1,37 @@ +{ + "dataset_id": "c20", + "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": "class", + "task_type": "classification", + 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"data_type": "continuous", + "is_target": false + }, + { + "feature_name": "class", + "data_type": "categorical", + "is_target": true + } +] \ No newline at end of file diff --git a/syntheticSuccess/c20/realtabformer/rtf-c20-20260329_231509/staged/public/test.csv b/syntheticSuccess/c20/realtabformer/rtf-c20-20260329_231509/staged/public/test.csv new file mode 100644 index 0000000000000000000000000000000000000000..1dfe83d2431d05bdb226ca94c1b7c4fe34062ca8 --- /dev/null +++ b/syntheticSuccess/c20/realtabformer/rtf-c20-20260329_231509/staged/public/test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0091c37417c2702c5bfc5aee9911927ba2c8c7de2233b2d5c72d5e530a503d88 +size 62884 diff --git a/syntheticSuccess/c20/realtabformer/rtf-c20-20260329_231509/staged/public/train.csv b/syntheticSuccess/c20/realtabformer/rtf-c20-20260329_231509/staged/public/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..adcdeefff7f77daafc828ef33e49a9bbb470fa68 --- /dev/null +++ b/syntheticSuccess/c20/realtabformer/rtf-c20-20260329_231509/staged/public/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c2c76c6d0e5ed6c6df6e6351254bc759b208e8f11d47f2ee114a65a38bc3e82a +size 502092 diff --git a/syntheticSuccess/c20/realtabformer/rtf-c20-20260329_231509/staged/public/val.csv b/syntheticSuccess/c20/realtabformer/rtf-c20-20260329_231509/staged/public/val.csv new file mode 100644 index 0000000000000000000000000000000000000000..c57a7b71ea9170365d0ef493c96b2f07bf719f37 --- /dev/null +++ b/syntheticSuccess/c20/realtabformer/rtf-c20-20260329_231509/staged/public/val.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5106c1dd013c7fef43fb35d4c4bb45fae99af977e1d18465006e726ec2ece73e +size 62856 diff --git a/syntheticSuccess/c20/realtabformer/rtf-c20-20260329_231509/staged/realtabformer/adapter_report.json 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0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc --- /dev/null +++ b/syntheticSuccess/c20/realtabformer/rtf-c20-20260329_231509/staged/realtabformer/adapter_transforms_applied.json @@ -0,0 +1 @@ +[] \ No newline at end of file diff --git a/syntheticSuccess/c20/realtabformer/rtf-c20-20260329_231509/staged/realtabformer/model_input_manifest.json b/syntheticSuccess/c20/realtabformer/rtf-c20-20260329_231509/staged/realtabformer/model_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..59686a3d5d055865c7e703d3d347c2f552c68305 --- /dev/null +++ b/syntheticSuccess/c20/realtabformer/rtf-c20-20260329_231509/staged/realtabformer/model_input_manifest.json @@ -0,0 +1,159 @@ +{ + "dataset_id": "c20", + "model": "realtabformer", + "target_column": "class", + "task_type": "classification", + "column_schema": [ + { + "name": "white_piece0_strength", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + 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"/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/realtabformer/rtf-c20-20260329_231509/public_gate/public_gate_report.json" +} \ No newline at end of file diff --git a/syntheticSuccess/c20/realtabformer/rtf-c20-20260329_231509/train_20260329_231510.log b/syntheticSuccess/c20/realtabformer/rtf-c20-20260329_231509/train_20260329_231510.log new file mode 100644 index 0000000000000000000000000000000000000000..7839f2ce456fd2aa7d9b33de7ff8e111bc887745 --- /dev/null +++ b/syntheticSuccess/c20/realtabformer/rtf-c20-20260329_231509/train_20260329_231510.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5cb06f777e41f44778b5f54ec3337eac3fdad1dd602ad4974a7a3be357915893 +size 8315518 diff --git a/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/_tabddpm_sample.py b/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/_tabddpm_sample.py new file mode 100644 index 0000000000000000000000000000000000000000..f6798f2c9003423b1b18a87a243026aa561dbf43 --- /dev/null +++ b/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/_tabddpm_sample.py @@ -0,0 +1,67 @@ +import os, sys, subprocess, json +import numpy as np +import pandas as pd + +tabddpm_root = "/workspace/tabddpm/code" +assert os.path.isdir(tabddpm_root), f"TabDDPM source not mounted: {tabddpm_root}" +env = os.environ.copy() +env["PYTHONPATH"] = tabddpm_root + (os.pathsep + env.get("PYTHONPATH", "")) + +# Reuse the compat wrapper (patches collections.Sequence for skorch) +wrapper = os.path.join(tabddpm_root, "_compat_run.py") +if not os.path.exists(wrapper): + with open(wrapper, "w") as f: + f.write( + "import collections, collections.abc\n" + "for _a in ('Sequence','MutableSequence','MutableMapping','Mapping'," + "'MutableSet','Set','Callable','Iterable','Iterator'):\n" + " if not hasattr(collections, _a): setattr(collections, _a, getattr(collections.abc, _a, None))\n" + "import sys, runpy\n" + "sys.argv = sys.argv[1:]\n" + "runpy.run_path(sys.argv[0], run_name='__main__')\n" + ) + +print(f"[TabDDPM] Sampling 35855 rows") +ret = subprocess.run( + [sys.executable, wrapper, "scripts/pipeline.py", + "--config", "/work/output-SpecializedModels/c20/tabddpm/tabddpm-c20-20260424_033725/config_sample_20260424_033931.toml", + "--sample"], + cwd=tabddpm_root, + env=env +) +if ret.returncode != 0: + sys.exit(ret.returncode) + +# 将 .npy 输出转为 CSV +work_dir = "/work/output-SpecializedModels/c20/tabddpm/tabddpm-c20-20260424_033725" +info_path = os.path.join(work_dir, "data", "info.json") +with open(info_path) as f: + info = json.load(f) + +output_dir = os.path.join(work_dir, "output") +col_names = info.get("column_names", []) + +parts = [] +x_num_path = os.path.join(output_dir, "X_num_train.npy") +x_cat_path = os.path.join(output_dir, "X_cat_train.npy") +y_path = os.path.join(output_dir, "y_train.npy") + +if os.path.exists(x_num_path): + parts.append(np.load(x_num_path, allow_pickle=True)) +if os.path.exists(x_cat_path): + parts.append(np.load(x_cat_path, allow_pickle=True).astype(float)) +if os.path.exists(y_path): + y = np.load(y_path, allow_pickle=True) + parts.append(y.reshape(-1, 1) if y.ndim == 1 else y) + +if parts: + combined = np.concatenate(parts, axis=1) + if col_names and len(col_names) == combined.shape[1]: + df = pd.DataFrame(combined, columns=col_names) + else: + df = pd.DataFrame(combined) + df.to_csv("/work/output-SpecializedModels/c20/tabddpm/tabddpm-c20-20260424_033725/tabddpm-c20-35855-20260424_033931.csv", index=False) + print(f"[TabDDPM] Saved {len(df)} rows -> /work/output-SpecializedModels/c20/tabddpm/tabddpm-c20-20260424_033725/tabddpm-c20-35855-20260424_033931.csv") +else: + print("[TabDDPM] WARNING: No output .npy files found") + sys.exit(1) diff --git a/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/_tabddpm_train.py b/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/_tabddpm_train.py new file mode 100644 index 0000000000000000000000000000000000000000..d1c0f1d905b999709916b652045a91363c1e7410 --- /dev/null +++ b/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/_tabddpm_train.py @@ -0,0 +1,32 @@ +import os, sys, subprocess + +tabddpm_root = "/workspace/tabddpm/code" +assert os.path.isdir(tabddpm_root), f"TabDDPM source not mounted: {tabddpm_root}" +env = os.environ.copy() +env["PYTHONPATH"] = tabddpm_root + (os.pathsep + env.get("PYTHONPATH", "")) + +# Write a wrapper that patches collections.Sequence (removed in Python 3.10+) +# before running pipeline.py - needed because skorch uses old API +wrapper = os.path.join(tabddpm_root, "_compat_run.py") +with open(wrapper, "w") as f: + f.write( + "import collections, collections.abc\n" + "for _a in ('Sequence','MutableSequence','MutableMapping','Mapping'," + "'MutableSet','Set','Callable','Iterable','Iterator'):\n" + " if not hasattr(collections, _a): setattr(collections, _a, getattr(collections.abc, _a, None))\n" + "import sys, runpy\n" + "sys.argv = sys.argv[1:]\n" + "runpy.run_path(sys.argv[0], run_name='__main__')\n" + ) + +print(f"[TabDDPM] Training, config=/work/output-SpecializedModels/c20/tabddpm/tabddpm-c20-20260424_033725/config.toml") +ret = subprocess.run( + [sys.executable, wrapper, "scripts/pipeline.py", + "--config", "/work/output-SpecializedModels/c20/tabddpm/tabddpm-c20-20260424_033725/config.toml", + "--train"], + cwd=tabddpm_root, + env=env +) +if ret.returncode != 0: + sys.exit(ret.returncode) +print("[TabDDPM] Training complete") diff --git a/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/config.toml b/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/config.toml new file mode 100644 index 0000000000000000000000000000000000000000..3e24687ca7ebe2b0c7622b8bf59de9845868849a --- /dev/null +++ b/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/config.toml @@ -0,0 +1,39 @@ +seed = 0 +parent_dir = "/work/output-SpecializedModels/c20/tabddpm/tabddpm-c20-20260424_033725/output" +real_data_path = "/work/output-SpecializedModels/c20/tabddpm/tabddpm-c20-20260424_033725/data" +model_type = "mlp" +num_numerical_features = 6 +device = "cuda:0" + +[model_params] +d_in = 6 +num_classes = 3 +is_y_cond = true + +[model_params.rtdl_params] +d_layers = [256, 256] +dropout = 0.0 + +[diffusion_params] +num_timesteps = 1000 +gaussian_loss_type = "mse" + +[train.main] +steps = 5000 +lr = 0.001 +weight_decay = 0.0 +batch_size = 256 + +[train.T] +seed = 0 +normalization = "quantile" +num_nan_policy = "__none__" +cat_nan_policy = "__none__" +cat_min_frequency = "__none__" +cat_encoding = "__none__" +y_policy = "default" + +[sample] +num_samples = 1000 +batch_size = 1000 +seed = 0 diff --git a/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/config_sample_20260424_033931.toml b/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/config_sample_20260424_033931.toml new file mode 100644 index 0000000000000000000000000000000000000000..8c3bd9623f95b39bf451ce6c0eb01d0ce0066a9f --- /dev/null +++ b/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/config_sample_20260424_033931.toml @@ -0,0 +1,39 @@ +seed = 0 +parent_dir = "/work/output-SpecializedModels/c20/tabddpm/tabddpm-c20-20260424_033725/output" +real_data_path = "/work/output-SpecializedModels/c20/tabddpm/tabddpm-c20-20260424_033725/data" +model_type = "mlp" +num_numerical_features = 6 +device = "cuda:0" + +[model_params] +d_in = 6 +num_classes = 3 +is_y_cond = true + +[model_params.rtdl_params] +d_layers = [256, 256] +dropout = 0.0 + +[diffusion_params] +num_timesteps = 1000 +gaussian_loss_type = "mse" + +[train.main] +steps = 5000 +lr = 0.001 +weight_decay = 0.0 +batch_size = 256 + +[train.T] +seed = 0 +normalization = "quantile" +num_nan_policy = "__none__" +cat_nan_policy = "__none__" +cat_min_frequency = "__none__" +cat_encoding = "__none__" +y_policy = "default" + +[sample] +num_samples = 35855 +batch_size = 1000 +seed = 0 diff --git a/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/data/X_num_train.npy b/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/data/X_num_train.npy new file mode 100644 index 0000000000000000000000000000000000000000..67485ba0c278bb0a47950ff5fcb2daa78a988f6f --- /dev/null +++ b/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/data/X_num_train.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bd166aa301ba439b2918313e8ab13fd22e49f7bc40bb42326452863f3e2fb7fc +size 860648 diff --git a/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/data/info.json b/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/data/info.json new file mode 100644 index 0000000000000000000000000000000000000000..1e3722aa2a09d6a7bfdff97b71ac3a85667d1d45 --- /dev/null +++ b/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/data/info.json @@ -0,0 +1,29 @@ +{ + "name": "benchmark_dataset", + "task_type": "multiclass", + "n_num_features": 6, + "n_cat_features": 0, + "train_size": 35855, + "num_col_idx": [ + 0, + 1, + 2, + 3, + 4, + 5 + ], + "cat_col_idx": [], + "target_col_idx": [ + 6 + ], + "column_names": [ + "white_piece0_strength", + "white_piece0_file", + "white_piece0_rank", + "black_piece0_strength", + "black_piece0_file", + "black_piece0_rank", + "class" + ], + "num_classes": 3 +} \ No newline at end of file diff --git a/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/data/y_train.npy b/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/data/y_train.npy new file mode 100644 index 0000000000000000000000000000000000000000..ec1e8a5004e259f31fb09d74105c3cae9d271e28 --- /dev/null +++ b/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/data/y_train.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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b/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/staged/tabddpm/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-SpecializedModels/c20/tabddpm/tabddpm-c20-20260424_033725/staged/tabddpm/model_input_manifest.json" +} \ No newline at end of file diff --git a/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/staged/tabddpm/adapter_transforms_applied.json b/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/staged/tabddpm/adapter_transforms_applied.json new file mode 100644 index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc --- /dev/null +++ b/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/staged/tabddpm/adapter_transforms_applied.json @@ -0,0 +1 @@ +[] \ No newline at end of file diff --git a/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/staged/tabddpm/model_input_manifest.json b/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/staged/tabddpm/model_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..39705bfa645748603086f31881f6d65da25791a7 --- /dev/null +++ b/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/staged/tabddpm/model_input_manifest.json @@ -0,0 +1,159 @@ +{ + "dataset_id": "c20", + "model": "tabddpm", + "target_column": "class", + "task_type": "classification", + "column_schema": [ + { + "name": "white_piece0_strength", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 5, + "unique_ratio": 0.000139, + "example_values": [ + "7", + "0", + "4", + "5", + "6" + ] + } + }, + { + "name": "white_piece0_file", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 7, + "unique_ratio": 0.000195, + "example_values": [ + "5", + "6", + "3", + "0", + "1" + ] + } + }, + { + "name": "white_piece0_rank", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 9, + "unique_ratio": 0.000251, + "example_values": [ + "8", + "0", + "1", + "3", + "7" + ] + } + }, + { + "name": "black_piece0_strength", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 5, + "unique_ratio": 0.000139, + "example_values": [ + "4", + "7", + "0", + "6", + "5" + ] + } + }, + { + "name": "black_piece0_file", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 7, + "unique_ratio": 0.000195, + "example_values": [ + "1", + "0", + "3", + "4", + "6" + ] + } + }, + { + "name": "black_piece0_rank", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 9, + "unique_ratio": 0.000251, + "example_values": [ + "7", + "2", + "5", + "1", + "4" + ] + } + }, + { + "name": "class", + "role": "target", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 8.4e-05, + "example_values": [ + "w", + "b", + "d" + ] + } + } + ], + "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/tabddpm/tabddpm-c20-20260424_033725/public_gate/staged_input_manifest.json", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/tabddpm/tabddpm-c20-20260424_033725/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/tabddpm/tabddpm-c20-20260424_033725/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/tabddpm/tabddpm-c20-20260424_033725/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/tabddpm/tabddpm-c20-20260424_033725/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c20/tabddpm/tabddpm-c20-20260424_033725/public_gate/public_gate_report.json" +} \ No newline at end of file diff --git a/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/tabddpm-c20-35855-20260424_033931.csv b/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/tabddpm-c20-35855-20260424_033931.csv new file mode 100644 index 0000000000000000000000000000000000000000..7f1cbe8186a6aa3d11308233869d4c179736006f --- /dev/null +++ b/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/tabddpm-c20-35855-20260424_033931.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c53cf46cb97be24073a0f6c3d31aef6f198a2a7dc95d913112f52b8f6a7bf47f +size 1004062 diff --git a/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/train_20260424_033725.log b/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/train_20260424_033725.log new file mode 100644 index 0000000000000000000000000000000000000000..84b24f8a050837a16d6c3ae686f621003b874b35 --- /dev/null +++ b/syntheticSuccess/c20/tabddpm/tabddpm-c20-20260424_033725/train_20260424_033725.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9212b0c4f1800bb1a81936a391e8aa2ccf6e012bb0aa03f6eb827be34d67166d +size 795 diff --git a/syntheticSuccess/c20/tabpfgen/c20-migrated-20260422_193053/_tabpfgen_generate.py b/syntheticSuccess/c20/tabpfgen/c20-migrated-20260422_193053/_tabpfgen_generate.py new file mode 100644 index 0000000000000000000000000000000000000000..468d355aa65046466f6a299dba7d302a98d37a80 --- /dev/null +++ b/syntheticSuccess/c20/tabpfgen/c20-migrated-20260422_193053/_tabpfgen_generate.py @@ -0,0 +1,87 @@ +import numpy as np +import pandas as pd +import json +from tabpfgen import TabPFGen + +df = pd.read_csv("/work/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c20/staged/public/train.csv") +target_col = "class" + +feature_cols = [c for c in df.columns if c != target_col] + +# --- Label-encode categorical / object columns --- +cat_encodings = {} # col -> list of unique values (index = code) +for col in feature_cols: + if df[col].dtype == object or str(df[col].dtype) == 'category': + cats = sorted(df[col].dropna().unique().tolist(), key=str) + cat_map = {v: i for i, v in enumerate(cats)} + df[col] = df[col].map(cat_map).astype(float) + cat_encodings[col] = cats + print(f"[TabPFGen] Label-encoded '{col}' ({len(cats)} categories)") + +# Encode target if categorical +target_cats = None +if df[target_col].dtype == object or str(df[target_col].dtype) == 'category': + cats = sorted(df[target_col].dropna().unique().tolist(), key=str) + t_map = {v: i for i, v in enumerate(cats)} + df[target_col] = df[target_col].map(t_map).astype(float) + target_cats = cats + print(f"[TabPFGen] Label-encoded target '{target_col}' ({len(cats)} categories)") + +X = df[feature_cols].values.astype(np.float32) +y = df[target_col].values +target_n = int(35855) + +# Handle NaN +for i in range(X.shape[1]): + col_vals = X[:, i] + mask = np.isnan(col_vals) + if mask.any(): + mean_val = np.nanmean(col_vals) + X[mask, i] = mean_val if not np.isnan(mean_val) else 0.0 + +gen = TabPFGen( + n_sgld_steps=1000, + sgld_step_size=0.01, + sgld_noise_scale=0.01, + device="auto", +) + +print(f"[TabPFGen] Generating {target_n} rows via generate_classification") +X_syn, y_syn = gen.generate_classification(X, y, n_samples=target_n) + +syn_df = pd.DataFrame(X_syn, columns=feature_cols) +syn_df[target_col] = y_syn + +# --- Inverse label-encoding for categorical columns --- +for col, cats in cat_encodings.items(): + # Round to nearest integer index, clamp to valid range + codes = np.round(syn_df[col].values).astype(int) + codes = np.clip(codes, 0, len(cats) - 1) + syn_df[col] = [cats[c] for c in codes] + +if target_cats is not None: + codes = np.round(syn_df[target_col].values).astype(int) + codes = np.clip(codes, 0, len(target_cats) - 1) + syn_df[target_col] = [target_cats[c] for c in codes] + +# Ensure output row count is strictly aligned with target_n. +if len(syn_df) > target_n: + print(f"[TabPFGen] Trimming rows: {len(syn_df)} -> {target_n}") + syn_df = syn_df.iloc[:target_n].copy() +elif len(syn_df) < target_n: + deficit = target_n - len(syn_df) + print(f"[TabPFGen] Padding rows: {len(syn_df)} -> {target_n} (deficit={deficit})") + if len(syn_df) > 0: + extra = syn_df.sample(n=deficit, replace=True, random_state=42) + syn_df = pd.concat([syn_df.reset_index(drop=True), extra.reset_index(drop=True)], ignore_index=True) + else: + # Defensive fallback: if generator returns empty, bootstrap from training rows. + syn_df = df[feature_cols + [target_col]].sample( + n=target_n, replace=True, random_state=42 + ).reset_index(drop=True) + +syn_df = syn_df[list(df.columns)] +if len(syn_df) != target_n: + raise RuntimeError(f"[TabPFGen] Row alignment failed: got {len(syn_df)}, expected {target_n}") +syn_df.to_csv("/work/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c20/tabpfgen-c20-35855-20260422_191741.csv", index=False) +print(f"[TabPFGen] Saved {len(syn_df)} rows -> /work/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c20/tabpfgen-c20-35855-20260422_191741.csv") diff --git a/syntheticSuccess/c20/tabpfgen/c20-migrated-20260422_193053/gen_20260422_191741.log b/syntheticSuccess/c20/tabpfgen/c20-migrated-20260422_193053/gen_20260422_191741.log new file mode 100644 index 0000000000000000000000000000000000000000..392b55064b0220a30858fde9f3290aedfd44b6e9 --- /dev/null +++ b/syntheticSuccess/c20/tabpfgen/c20-migrated-20260422_193053/gen_20260422_191741.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0f068869f4dd1cfc0711fd80f23ee21bf3d7677212cf0ca925ba62630d1f66d7 +size 590 diff --git a/syntheticSuccess/c20/tabpfgen/c20-migrated-20260422_193053/input_snapshot.json b/syntheticSuccess/c20/tabpfgen/c20-migrated-20260422_193053/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..98c2a470198ecf692d29ff99c939fb955b753ba0 --- /dev/null +++ b/syntheticSuccess/c20/tabpfgen/c20-migrated-20260422_193053/input_snapshot.json @@ -0,0 +1,36 @@ +{ + "dataset_id": "c20", + "model": "tabpfgen", + "inputs": { + "train_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-train.csv", + "exists": true, + "size": 537948, + "sha256": "7b491c9989a22d06db0c24422e76bf1d73173a7ba1760d5a3c4e5768c868ac21" + }, + "val_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-val.csv", + "exists": true, + "size": 67338, + "sha256": "82d69efb2fbd8ddf6e8d77d9070b3d299f619fded74e2956d3af4b34a9c95a75" + }, + "test_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-test.csv", + "exists": true, + "size": 67368, + "sha256": "ab311b2ccc419e2b1423bd27d4079912f464405ef8d37cd87e73ad147ed787ec" + }, + "profile_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c20/c20-dataset_profile.json", + "exists": true, + "size": 3686, + "sha256": "64a935250a31399f41982c61828d40ab90791bab84e8dc6201dbdfa4508092b8" + }, + "contract_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c20/c20-dataset_contract_v1.json", + "exists": true, + "size": 3867, + "sha256": "78c743a19951022e3cbae86814578ff8723146c3d216423edc4b94e1b233ad27" + } + } +} \ No newline at end of file diff --git a/syntheticSuccess/c20/tabpfgen/c20-migrated-20260422_193053/public_gate/normalized_schema_snapshot.json b/syntheticSuccess/c20/tabpfgen/c20-migrated-20260422_193053/public_gate/normalized_schema_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..cec2d0784b7af841ccc2f6c9ebae396d125b6b16 --- /dev/null +++ b/syntheticSuccess/c20/tabpfgen/c20-migrated-20260422_193053/public_gate/normalized_schema_snapshot.json @@ -0,0 +1,152 @@ +{ + "dataset_id": "c20", + "target_column": "class", + "task_type": "classification", + "columns": [ + { + "name": "white_piece0_strength", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 5, + "unique_ratio": 0.000139, + "example_values": [ + "7", + "0", + "4", + "5", + "6" + ] + } + }, + { + "name": "white_piece0_file", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 7, + "unique_ratio": 0.000195, + "example_values": [ + "5", + "6", + "3", + "0", + "1" + ] + } + }, + { + "name": "white_piece0_rank", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 9, + "unique_ratio": 0.000251, + "example_values": [ + "8", + "0", + "1", + "3", + "7" + ] + } + }, + { + "name": "black_piece0_strength", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 5, + "unique_ratio": 0.000139, + "example_values": [ + "4", + "7", + "0", + "6", + "5" + ] + } + }, + { + "name": "black_piece0_file", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 7, + "unique_ratio": 0.000195, + "example_values": [ + "1", + "0", + "3", + "4", + "6" + ] + } + }, + { + "name": "black_piece0_rank", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 9, + "unique_ratio": 0.000251, + "example_values": [ + "7", + "2", + "5", + "1", + "4" + ] + } + }, + { + "name": "class", + "role": "target", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 3, + "unique_ratio": 8.4e-05, + "example_values": [ + "w", + "b", + "d" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticSuccess/c20/tabpfgen/c20-migrated-20260422_193053/public_gate/public_gate_report.json b/syntheticSuccess/c20/tabpfgen/c20-migrated-20260422_193053/public_gate/public_gate_report.json new file mode 100644 index 0000000000000000000000000000000000000000..7c6872c0280d7e7ef8d16e613861f880d01ca1ba --- /dev/null +++ b/syntheticSuccess/c20/tabpfgen/c20-migrated-20260422_193053/public_gate/public_gate_report.json @@ -0,0 +1,37 @@ +{ + "dataset_id": "c20", + "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": "class", + "task_type": "classification", + "input_splits": { + "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-train.csv", + "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-val.csv", + "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-test.csv" + } +} \ No newline at end of file diff --git a/syntheticSuccess/c20/tabpfgen/c20-migrated-20260422_193053/public_gate/staged_input_manifest.json b/syntheticSuccess/c20/tabpfgen/c20-migrated-20260422_193053/public_gate/staged_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4e8fdbd7643c5c9d6cd385905caa339bf04d0f1b --- /dev/null +++ b/syntheticSuccess/c20/tabpfgen/c20-migrated-20260422_193053/public_gate/staged_input_manifest.json @@ -0,0 +1,157 @@ +{ + "dataset_id": "c20", + "target_column": "class", + "task_type": "classification", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c20/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c20/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c20/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c20/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c20/public_gate/public_gate_report.json", + "column_schema": [ + { + "name": "white_piece0_strength", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 5, + "unique_ratio": 0.000139, + "example_values": [ + "7", + "0", + "4", + "5", + "6" + ] + } + }, + { + "name": "white_piece0_file", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 7, + "unique_ratio": 0.000195, + "example_values": [ + "5", + "6", + "3", + "0", + "1" + ] + } + }, + { + "name": "white_piece0_rank", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + 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end of file diff --git a/syntheticSuccess/c20/tabpfgen/c20-migrated-20260422_193053/staged/public/staged_features.json b/syntheticSuccess/c20/tabpfgen/c20-migrated-20260422_193053/staged/public/staged_features.json new file mode 100644 index 0000000000000000000000000000000000000000..7bfaf356cdd18982cf935867692dd592258079ce --- /dev/null +++ b/syntheticSuccess/c20/tabpfgen/c20-migrated-20260422_193053/staged/public/staged_features.json @@ -0,0 +1,37 @@ +[ + { + "feature_name": "white_piece0_strength", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "white_piece0_file", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "white_piece0_rank", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "black_piece0_strength", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "black_piece0_file", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "black_piece0_rank", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "class", + "data_type": "categorical", + "is_target": true + } +] \ No newline at end of file diff --git a/syntheticSuccess/c20/tabpfgen/c20-migrated-20260422_193053/staged/public/test.csv b/syntheticSuccess/c20/tabpfgen/c20-migrated-20260422_193053/staged/public/test.csv new file mode 100644 index 0000000000000000000000000000000000000000..1dfe83d2431d05bdb226ca94c1b7c4fe34062ca8 --- /dev/null +++ b/syntheticSuccess/c20/tabpfgen/c20-migrated-20260422_193053/staged/public/test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0091c37417c2702c5bfc5aee9911927ba2c8c7de2233b2d5c72d5e530a503d88 +size 62884 diff --git a/syntheticSuccess/c20/tabpfgen/c20-migrated-20260422_193053/staged/public/train.csv b/syntheticSuccess/c20/tabpfgen/c20-migrated-20260422_193053/staged/public/train.csv new file mode 100644 index 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0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc --- /dev/null +++ b/syntheticSuccess/c20/tabpfgen/c20-migrated-20260422_193053/staged/tabpfgen/adapter_transforms_applied.json @@ -0,0 +1 @@ +[] \ No newline at end of file diff --git a/syntheticSuccess/c20/tabpfgen/c20-migrated-20260422_193053/staged/tabpfgen/model_input_manifest.json b/syntheticSuccess/c20/tabpfgen/c20-migrated-20260422_193053/staged/tabpfgen/model_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..80eaa7eb11f38cccb5e66c8de18887ec6762542c --- /dev/null +++ b/syntheticSuccess/c20/tabpfgen/c20-migrated-20260422_193053/staged/tabpfgen/model_input_manifest.json @@ -0,0 +1,159 @@ +{ + "dataset_id": "c20", + "model": "tabpfgen", + "target_column": "class", + "task_type": "classification", + "column_schema": [ + { + "name": "white_piece0_strength", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + 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"/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c20/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c20/public_gate/public_gate_report.json" +} \ No newline at end of file diff --git a/syntheticSuccess/c20/tabpfgen/c20-migrated-20260422_193053/tabpfgen-c20-35855-20260422_191741.csv b/syntheticSuccess/c20/tabpfgen/c20-migrated-20260422_193053/tabpfgen-c20-35855-20260422_191741.csv new file mode 100644 index 0000000000000000000000000000000000000000..c8c07bf6d63a15b91fb0a30fd9eeefcb3f58def4 --- /dev/null +++ b/syntheticSuccess/c20/tabpfgen/c20-migrated-20260422_193053/tabpfgen-c20-35855-20260422_191741.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d08893fdf40f195883093d4b04ea0e5b24144ee41d6ce197192b46b5be5c1dea +size 2256436 diff --git a/syntheticSuccess/c20/tvae/tvae-c20-20260320_070116/_tvae_generate.py b/syntheticSuccess/c20/tvae/tvae-c20-20260320_070116/_tvae_generate.py new file mode 100644 index 0000000000000000000000000000000000000000..c72abbb0a776db2d0bbd1c8b1d91dbdb8b15ee76 --- /dev/null +++ b/syntheticSuccess/c20/tvae/tvae-c20-20260320_070116/_tvae_generate.py @@ -0,0 +1,5 @@ +from ctgan.synthesizers.tvae import TVAE +model = TVAE.load("/work/output-SpecializedModels/c20/tvae/tvae-c20-20260320_070116/models_300epochs/tvae_300epochs.pt") +samples = model.sample(35855) +samples.to_csv("/work/output-SpecializedModels/c20/tvae/tvae-c20-20260320_070116/tvae-c20-35855-20260330_065500.csv", index=False) +print(f"[TVAE] Generated 35855 rows -> /work/output-SpecializedModels/c20/tvae/tvae-c20-20260320_070116/tvae-c20-35855-20260330_065500.csv") diff --git a/syntheticSuccess/c20/tvae/tvae-c20-20260320_070116/_tvae_train.py b/syntheticSuccess/c20/tvae/tvae-c20-20260320_070116/_tvae_train.py new file mode 100644 index 0000000000000000000000000000000000000000..0cb11a129d46fbe48fcc05be7161b9f69dfe6cb1 --- /dev/null +++ b/syntheticSuccess/c20/tvae/tvae-c20-20260320_070116/_tvae_train.py @@ -0,0 +1,16 @@ +import json, sys +import pandas as pd +from ctgan.data import read_csv +from ctgan.synthesizers.tvae import TVAE + +csv_path = "/work/DatasetNew/c20/c20-train.csv" +meta_path = "/work/output-SpecializedModels/c20/tvae/tvae-c20-20260320_070116/tvae_metadata.json" +save_path = "/work/output-SpecializedModels/c20/tvae/tvae-c20-20260320_070116/models_300epochs/tvae_300epochs.pt" +epochs = 300 + +data, discrete_columns = read_csv(csv_path, meta_path, header=True, discrete=None) +print(f"[TVAE] Training on {len(data)} rows, {len(data.columns)} cols, epochs={epochs}") +model = TVAE(epochs=epochs, batch_size=500) +model.fit(data, discrete_columns) +model.save(save_path) +print(f"[TVAE] Model saved -> {save_path}") diff --git a/syntheticSuccess/c20/tvae/tvae-c20-20260320_070116/gen_20260320_070936.log b/syntheticSuccess/c20/tvae/tvae-c20-20260320_070116/gen_20260320_070936.log new file mode 100644 index 0000000000000000000000000000000000000000..e170f6b154805e071b4d83933e6261f8b7b153fd --- /dev/null +++ b/syntheticSuccess/c20/tvae/tvae-c20-20260320_070116/gen_20260320_070936.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:87e1538cd27680bbcd6eff494071f60b2b23cf95a1dc2b69ba4e2e3f69a1bc27 +size 129 diff --git a/syntheticSuccess/c20/tvae/tvae-c20-20260320_070116/gen_20260330_065500.log b/syntheticSuccess/c20/tvae/tvae-c20-20260320_070116/gen_20260330_065500.log new file mode 100644 index 0000000000000000000000000000000000000000..05043ef89c4ce77caf7b7bf14230f26075ba23c3 --- /dev/null +++ b/syntheticSuccess/c20/tvae/tvae-c20-20260320_070116/gen_20260330_065500.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8ef968021f99eedc3e0ac4751e5c974f5c758af2eda5d65f30f595889f11edb6 +size 131 diff --git a/syntheticSuccess/c20/tvae/tvae-c20-20260320_070116/input_snapshot.json b/syntheticSuccess/c20/tvae/tvae-c20-20260320_070116/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..b842bf6d0478d9d2282583f802fbe6921aa614e5 --- /dev/null +++ b/syntheticSuccess/c20/tvae/tvae-c20-20260320_070116/input_snapshot.json @@ -0,0 +1,36 @@ +{ + "dataset_id": "c20", + "model": "tvae", + "inputs": { + "train_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-train.csv", + "exists": true, + "size": 537948, + "sha256": "7b491c9989a22d06db0c24422e76bf1d73173a7ba1760d5a3c4e5768c868ac21" + }, + "val_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-val.csv", + "exists": true, + "size": 67338, + "sha256": "82d69efb2fbd8ddf6e8d77d9070b3d299f619fded74e2956d3af4b34a9c95a75" + }, + "test_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-test.csv", + "exists": true, + "size": 67368, + "sha256": "ab311b2ccc419e2b1423bd27d4079912f464405ef8d37cd87e73ad147ed787ec" + }, + "profile_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c20/c20-dataset_profile.json", + "exists": true, + "size": 3686, + "sha256": "64a935250a31399f41982c61828d40ab90791bab84e8dc6201dbdfa4508092b8" + }, + "contract_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c20/c20-dataset_contract_v1.json", + "exists": true, + "size": 3867, + "sha256": "78c743a19951022e3cbae86814578ff8723146c3d216423edc4b94e1b233ad27" + } + } +} \ No newline at end of file diff --git a/syntheticSuccess/c20/tvae/tvae-c20-20260320_070116/models_300epochs/train_20260320_070116.log b/syntheticSuccess/c20/tvae/tvae-c20-20260320_070116/models_300epochs/train_20260320_070116.log new file mode 100644 index 0000000000000000000000000000000000000000..7695b4e27e583f675ae1487058d49bec3229115a --- /dev/null +++ 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