diff --git a/syntheticSuccess/n2/arf/arf-n2-20260321_064348/_arf_generate.py b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/_arf_generate.py new file mode 100644 index 0000000000000000000000000000000000000000..bf4558758e5645be15dd7309d7ec7b770c06f13b --- /dev/null +++ b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/_arf_generate.py @@ -0,0 +1,6 @@ +import pickle +with open("/work/output-SpecializedModels/n2/arf/arf-n2-20260321_064348/arf_model.pkl", "rb") as f: + model = pickle.load(f) +syn = model.forge(n=1202) +syn.to_csv("/work/output-SpecializedModels/n2/arf/arf-n2-20260321_064348/arf-n2-1202-20260330_070023.csv", index=False) +print(f"[ARF] Generated 1202 rows -> /work/output-SpecializedModels/n2/arf/arf-n2-20260321_064348/arf-n2-1202-20260330_070023.csv") diff --git a/syntheticSuccess/n2/arf/arf-n2-20260321_064348/_arf_train.py b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/_arf_train.py new file mode 100644 index 0000000000000000000000000000000000000000..06419edd5b76d3eaf91a2ce801841f1fb0c467bc --- /dev/null +++ b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/_arf_train.py @@ -0,0 +1,19 @@ +import pickle +import pandas as pd +from arfpy import arf + +df = pd.read_csv("/work/output-SpecializedModels/n2/arf/arf-n2-20260321_064348/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/n2/arf/arf-n2-20260321_064348/arf_model.pkl", "wb") as f: + pickle.dump(model, f) +print(f"[ARF] Model saved -> /work/output-SpecializedModels/n2/arf/arf-n2-20260321_064348/arf_model.pkl") diff --git a/syntheticSuccess/n2/arf/arf-n2-20260321_064348/arf-n2-1000-20260321_064404.csv b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/arf-n2-1000-20260321_064404.csv new file mode 100644 index 0000000000000000000000000000000000000000..7f0eb5580ec6d070d5920d333cfd464162654fc3 --- /dev/null +++ b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/arf-n2-1000-20260321_064404.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:788ededd94a7a02942966c91473d353817567ec96f2154ddf0bd525fc8c83051 +size 102772 diff --git a/syntheticSuccess/n2/arf/arf-n2-20260321_064348/arf-n2-1202-20260330_070023.csv b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/arf-n2-1202-20260330_070023.csv new file mode 100644 index 0000000000000000000000000000000000000000..72c1ab7d06d4165cb31a93e8ccfb0b726edd4208 --- /dev/null +++ b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/arf-n2-1202-20260330_070023.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6a546ca3a953fb44cba8f42d79ab89656e0e742e11a38461fc675724e424380d +size 123982 diff --git a/syntheticSuccess/n2/arf/arf-n2-20260321_064348/arf_model.pkl b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/arf_model.pkl new file mode 100644 index 0000000000000000000000000000000000000000..b7721d9550faf7955cb5d911f1409461b0842422 --- /dev/null +++ b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/arf_model.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4a063228d38651488602fb297685120323a7db18a6182b92b634a08605d66a84 +size 2927432 diff --git a/syntheticSuccess/n2/arf/arf-n2-20260321_064348/gen_20260321_064404.log b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/gen_20260321_064404.log new file mode 100644 index 0000000000000000000000000000000000000000..031e5a9bfe68bb33e6cda0ff9267dc2d0afad98c --- /dev/null +++ b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/gen_20260321_064404.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:adc702eca0a6cf7297541e86e4c9bc128f5197e185749af6ca8cf247cbeb5be2 +size 438 diff --git a/syntheticSuccess/n2/arf/arf-n2-20260321_064348/gen_20260330_070023.log b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/gen_20260330_070023.log new file mode 100644 index 0000000000000000000000000000000000000000..c32542a36efaad68e031d91d54172e232a8a6245 --- /dev/null +++ b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/gen_20260330_070023.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0df624bd9d8c704e56b1ecb0ee836c1f645c49ad2a4c90631aac1a2c999c60a6 +size 438 diff --git a/syntheticSuccess/n2/arf/arf-n2-20260321_064348/input_snapshot.json b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..ead2213a274fe9eadc01b28d426305945bf021a8 --- /dev/null +++ b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/input_snapshot.json @@ -0,0 +1,36 @@ +{ + "dataset_id": "n2", + "model": "arf", + "inputs": { + "train_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n2/n2-train.csv", + "exists": true, + "size": 48105, + "sha256": "b09ea43d5f44555cf7a2ec2393b964099c041542498a16a70b783255716da307" + }, + "val_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n2/n2-val.csv", + "exists": true, + "size": 6064, + "sha256": "f2ca0c324c274549a0453e5dbae8be02c6322d44a8026bebad298550d9ba7b92" + }, + "test_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n2/n2-test.csv", + "exists": true, + "size": 6130, + "sha256": "9e43dcd24da340c46c8008c12295c5f63103deeaa40c2b5e5438a811fb16bdd8" + }, + "profile_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/n2/n2-dataset_profile.json", + "exists": true, + "size": 3310, + "sha256": "db39eafed778fa1c452d82b1caad5be2a93a26fbaf6fe83e0d8db4d02ba195c8" + }, + "contract_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/n2/n2-dataset_contract_v1.json", + "exists": true, + "size": 3565, + "sha256": "2da5645c44004032f894d5d9ddc560383a4a0950236159424611e6e372a66bea" + } + } +} \ No newline at end of file diff --git a/syntheticSuccess/n2/arf/arf-n2-20260321_064348/public_gate/normalized_schema_snapshot.json b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/public_gate/normalized_schema_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..544491e7e40893ca347751c3b6db251c35758fe3 --- /dev/null +++ b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/public_gate/normalized_schema_snapshot.json @@ -0,0 +1,132 @@ +{ + "dataset_id": "n2", + "target_column": "free_stream_velocity", + "task_type": "classification", + "columns": [ + { + "name": "frequency", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + 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false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.003328, + "example_values": [ + "71.3", + "31.7", + "39.6", + "55.5" + ] + } + }, + { + "name": "displacement_thickness", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 105, + "unique_ratio": 0.087354, + "example_values": [ + "0.00266337", + "0.00214345", + "0.000812164", + "0.000907475", + "0.00150092" + ] + } + }, + { + "name": "sound_pressure_level", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 1171, + "unique_ratio": 0.97421, + "example_values": [ + "126.201", + "128.144", + "122.790", + "122.956", + "124.393" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticSuccess/n2/arf/arf-n2-20260321_064348/public_gate/public_gate_report.json b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/public_gate/public_gate_report.json new file mode 100644 index 0000000000000000000000000000000000000000..cb009de874232fb93facfa2cab4c314aa6882abf --- /dev/null +++ b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/public_gate/public_gate_report.json @@ -0,0 +1,37 @@ +{ + "dataset_id": "n2", + "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": "free_stream_velocity", + "task_type": "classification", + "input_splits": { + "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n2/n2-train.csv", + "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n2/n2-val.csv", + "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n2/n2-test.csv" + } +} \ No newline at end of file diff --git a/syntheticSuccess/n2/arf/arf-n2-20260321_064348/public_gate/staged_input_manifest.json b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/public_gate/staged_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a8f5094376cd84a3e5299748c0bd9c4d79dc7041 --- /dev/null +++ b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/public_gate/staged_input_manifest.json @@ -0,0 +1,137 @@ +{ + "dataset_id": "n2", + "target_column": "free_stream_velocity", + "task_type": "classification", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/n2/arf/arf-n2-20260321_064348/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/n2/arf/arf-n2-20260321_064348/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/n2/arf/arf-n2-20260321_064348/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/n2/arf/arf-n2-20260321_064348/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/n2/arf/arf-n2-20260321_064348/public_gate/public_gate_report.json", + "column_schema": [ + { + "name": "frequency", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 21, + "unique_ratio": 0.017471, + "example_values": [ + "800", + "1250", + "1000", + "5000", + "2000" + ] + } + }, + { + "name": "angle_of_attack", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 27, + "unique_ratio": 0.022463, + "example_values": [ + "0", + "4.8", + "5.4", + "4", + "7.3" + ] + } + }, + { + "name": "chord_length", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 6, + "unique_ratio": 0.004992, + "example_values": [ + "0.3048", + "0.2286", + "0.0508", + "0.0254", + "0.1016" + ] + } + }, + { + "name": "free_stream_velocity", + "role": "target", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + 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at end of file diff --git a/syntheticSuccess/n2/arf/arf-n2-20260321_064348/runtime_result.json b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/runtime_result.json new file mode 100644 index 0000000000000000000000000000000000000000..50f6a986cbf7a8e0db981c6c68c99d3a8894356f --- /dev/null +++ b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/runtime_result.json @@ -0,0 +1,14 @@ +{ + "dataset_id": "n2", + "model": "arf", + "run_id": "arf-n2-20260321_064348", + "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/n2/arf/arf-n2-20260321_064348/arf-n2-1202-20260330_070023.csv" + } +} \ No newline at end of file diff --git a/syntheticSuccess/n2/arf/arf-n2-20260321_064348/staged/arf/adapter_report.json 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b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/staged/arf/adapter_transforms_applied.json @@ -0,0 +1 @@ +[] \ No newline at end of file diff --git a/syntheticSuccess/n2/arf/arf-n2-20260321_064348/staged/arf/model_input_manifest.json b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/staged/arf/model_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..000056c7b04007e9dbe4ca226872be7e1134e0a9 --- /dev/null +++ b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/staged/arf/model_input_manifest.json @@ -0,0 +1,139 @@ +{ + "dataset_id": "n2", + "model": "arf", + "target_column": "free_stream_velocity", + "task_type": "classification", + "column_schema": [ + { + "name": "frequency", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 21, + "unique_ratio": 0.017471, + "example_values": [ + "800", + "1250", + "1000", + "5000", + "2000" + ] + } + }, + { + "name": "angle_of_attack", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 27, + "unique_ratio": 0.022463, + "example_values": [ + "0", + "4.8", + "5.4", + "4", + "7.3" + ] + } + }, + { + "name": "chord_length", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 6, + "unique_ratio": 0.004992, + "example_values": [ + "0.3048", + "0.2286", + "0.0508", + "0.0254", + "0.1016" + ] + } + }, + { + "name": "free_stream_velocity", + "role": "target", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.003328, + "example_values": [ + "71.3", + "31.7", + "39.6", + "55.5" + ] + } + }, + { + "name": "displacement_thickness", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 105, + "unique_ratio": 0.087354, + "example_values": [ + "0.00266337", + "0.00214345", + "0.000812164", + "0.000907475", + "0.00150092" + ] + } + }, + { + "name": "sound_pressure_level", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 1171, + "unique_ratio": 0.97421, + "example_values": [ + "126.201", + "128.144", + "122.790", + "122.956", + "124.393" + ] + } + } + ], + "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/n2/arf/arf-n2-20260321_064348/public_gate/staged_input_manifest.json", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/n2/arf/arf-n2-20260321_064348/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/n2/arf/arf-n2-20260321_064348/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/n2/arf/arf-n2-20260321_064348/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/n2/arf/arf-n2-20260321_064348/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/n2/arf/arf-n2-20260321_064348/public_gate/public_gate_report.json" +} \ No newline at end of file diff --git a/syntheticSuccess/n2/arf/arf-n2-20260321_064348/staged/public/staged_features.json b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/staged/public/staged_features.json new file mode 100644 index 0000000000000000000000000000000000000000..44906bee08994617039fe2bdb45ac91e5608c9db --- /dev/null +++ b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/staged/public/staged_features.json @@ -0,0 +1,32 @@ +[ + { + "feature_name": "frequency", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "angle_of_attack", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "chord_length", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "free_stream_velocity", + "data_type": "continuous", + "is_target": true + }, + { + "feature_name": "displacement_thickness", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "sound_pressure_level", + "data_type": "continuous", + "is_target": false + } +] \ No newline at end of file diff --git a/syntheticSuccess/n2/arf/arf-n2-20260321_064348/staged/public/test.csv b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/staged/public/test.csv new file mode 100644 index 0000000000000000000000000000000000000000..8e752056b9f0d146f963f99f5d4df9e4a27737f7 --- /dev/null +++ b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/staged/public/test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6b641c03347c5b451dd6fb120aecc9e3480dbac4929a14978b5dbeb846946c5d +size 6068 diff --git a/syntheticSuccess/n2/arf/arf-n2-20260321_064348/staged/public/train.csv b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/staged/public/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..19e6e5401b6078535637c660223158f2c341e3b1 --- /dev/null +++ b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/staged/public/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f270db0e48d7595f0870d0491470f20545dcc0f3277388206c03b47ced9c294c +size 47624 diff --git a/syntheticSuccess/n2/arf/arf-n2-20260321_064348/staged/public/val.csv b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/staged/public/val.csv new file mode 100644 index 0000000000000000000000000000000000000000..b2aeba5f63aae25e7bf98dae82bc1ad310432999 --- /dev/null +++ b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/staged/public/val.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fc14d060a0f2177ff380c42c2fbf1dd0c5410f1b5904a2bd1f0e28e3ca71fe0d +size 6032 diff --git a/syntheticSuccess/n2/arf/arf-n2-20260321_064348/train_20260321_064348.log b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/train_20260321_064348.log new file mode 100644 index 0000000000000000000000000000000000000000..958d3b6d50c079bf25d1502e37b92a8f7468f910 --- /dev/null +++ b/syntheticSuccess/n2/arf/arf-n2-20260321_064348/train_20260321_064348.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fe2eb506fdf43daa396b0bdfbf0635a59d125503d547f318004575e092d58de0 +size 230 diff --git a/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/_bayesnet_generate.py b/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/_bayesnet_generate.py new file mode 100644 index 0000000000000000000000000000000000000000..800c791c6c351d481f4ab5e16ebacc12e9bfb6dd --- /dev/null +++ b/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/_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/n2/bayesnet/bayesnet-n2-20260321_061539/bayesnet_model.pkl", "rb") as f: + plugin = pickle.load(f) +syn = plugin.generate(count=1202).dataframe() + +# Restore zero-variance columns that were dropped during training +const_path = "/work/output-SpecializedModels/n2/bayesnet/bayesnet-n2-20260321_061539/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/n2/bayesnet/bayesnet-n2-20260321_061539/bayesnet-n2-1202-20260330_070031.csv", index=False) +print(f"[BayesNet] Generated 1202 rows -> /work/output-SpecializedModels/n2/bayesnet/bayesnet-n2-20260321_061539/bayesnet-n2-1202-20260330_070031.csv") diff --git a/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/_bayesnet_train.py b/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/_bayesnet_train.py new file mode 100644 index 0000000000000000000000000000000000000000..7434675a53c1be6e41090a8318c2f541c41311b9 --- /dev/null +++ b/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/_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/n2/bayesnet/bayesnet-n2-20260321_061539/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/n2/bayesnet/bayesnet-n2-20260321_061539/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/n2/bayesnet/bayesnet-n2-20260321_061539/bayesnet_model.pkl", "wb") as f: + pickle.dump(plugin, f) +print(f"[BayesNet] Model saved -> /work/output-SpecializedModels/n2/bayesnet/bayesnet-n2-20260321_061539/bayesnet_model.pkl") diff --git a/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/bayesnet-n2-1000-20260321_061620.csv b/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/bayesnet-n2-1000-20260321_061620.csv new file mode 100644 index 0000000000000000000000000000000000000000..4ec7c7a74464ba34e71858601a234958a4db2320 --- /dev/null +++ b/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/bayesnet-n2-1000-20260321_061620.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:baaf9760745784cd17747bd2dcf533e33a4d861a6d4d286b3ed562fe20384243 +size 73158 diff --git a/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/bayesnet-n2-1202-20260330_070031.csv b/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/bayesnet-n2-1202-20260330_070031.csv new file mode 100644 index 0000000000000000000000000000000000000000..e689bc9e99e172aff9409984afad7d337ebb2c88 --- /dev/null +++ b/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/bayesnet-n2-1202-20260330_070031.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e27d971f3cb2e5476db207571d316746b56d10ea065082b27f33a2e4053ab50c +size 87701 diff --git a/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/bayesnet_model.pkl b/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/bayesnet_model.pkl new file mode 100644 index 0000000000000000000000000000000000000000..393d83e5b23f1a427b7f13a8208a6fdd50a290e5 --- /dev/null +++ b/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/bayesnet_model.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e54ac281512d91d6b37ffb75ad9f67bc11e946c56acc2787d708fdc39d0030de +size 2745680 diff --git a/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/const_cols.json b/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/const_cols.json new file mode 100644 index 0000000000000000000000000000000000000000..9e26dfeeb6e641a33dae4961196235bdb965b21b --- /dev/null +++ b/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/const_cols.json @@ -0,0 +1 @@ +{} \ No newline at end of file diff --git a/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/gen_20260321_061620.log b/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/gen_20260321_061620.log new file mode 100644 index 0000000000000000000000000000000000000000..a31214ca88a272d742ec688ad53400aa89854868 --- /dev/null +++ b/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/gen_20260321_061620.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c4451fd5c784454d728a54e7bf12f6c4596c020ed9a8c4d53a26f2fb837db4ac +size 232 diff --git a/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/gen_20260330_070031.log b/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/gen_20260330_070031.log new file mode 100644 index 0000000000000000000000000000000000000000..7a1c899377563a6a8f61893d2225ad8e2dd93fb2 --- /dev/null +++ b/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/gen_20260330_070031.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:519a569b6b31229a4116e913412bc325d84fd0ec13fa79ba70e80f0eaa17c6a3 +size 232 diff --git a/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/input_snapshot.json b/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..0933f7c76c6d3ca2a37707520caa7fbdd982e88d --- /dev/null +++ b/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/input_snapshot.json @@ -0,0 +1,36 @@ +{ + "dataset_id": "n2", + "model": "bayesnet", + "inputs": { + "train_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n2/n2-train.csv", + "exists": true, + "size": 48105, + "sha256": "b09ea43d5f44555cf7a2ec2393b964099c041542498a16a70b783255716da307" + }, + "val_csv": { + "path": 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a/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/public_gate/normalized_schema_snapshot.json b/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/public_gate/normalized_schema_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..544491e7e40893ca347751c3b6db251c35758fe3 --- /dev/null +++ b/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/public_gate/normalized_schema_snapshot.json @@ -0,0 +1,132 @@ +{ + "dataset_id": "n2", + "target_column": "free_stream_velocity", + "task_type": "classification", + "columns": [ + { + "name": "frequency", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 21, + "unique_ratio": 0.017471, + "example_values": [ + "800", + "1250", + "1000", + "5000", + "2000" + ] + } + }, + { + "name": "angle_of_attack", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 27, + "unique_ratio": 0.022463, + "example_values": [ + "0", + "4.8", + "5.4", + "4", + "7.3" + ] + } + }, + { + "name": "chord_length", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 6, + "unique_ratio": 0.004992, + "example_values": [ + "0.3048", + "0.2286", + "0.0508", + "0.0254", + "0.1016" + ] + } + }, + { + "name": "free_stream_velocity", + "role": "target", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.003328, + "example_values": [ + "71.3", + "31.7", + "39.6", + "55.5" + ] + } + }, + { + "name": "displacement_thickness", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 105, + "unique_ratio": 0.087354, + "example_values": [ + "0.00266337", + "0.00214345", + "0.000812164", + "0.000907475", + "0.00150092" + ] + } + }, + { + "name": "sound_pressure_level", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 1171, + "unique_ratio": 0.97421, + "example_values": [ + "126.201", + "128.144", + "122.790", + "122.956", + "124.393" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/public_gate/public_gate_report.json b/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/public_gate/public_gate_report.json new file mode 100644 index 0000000000000000000000000000000000000000..cb009de874232fb93facfa2cab4c314aa6882abf --- /dev/null +++ b/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/public_gate/public_gate_report.json @@ -0,0 +1,37 @@ +{ + "dataset_id": "n2", + "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": "free_stream_velocity", + "task_type": "classification", + "input_splits": { + "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n2/n2-train.csv", + "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n2/n2-val.csv", + "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n2/n2-test.csv" + } +} \ No newline at end of file diff --git a/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/public_gate/staged_input_manifest.json b/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/public_gate/staged_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1fe4d8ee7bc2c84e8170fa3f2271cd7b88af86f2 --- /dev/null +++ b/syntheticSuccess/n2/bayesnet/bayesnet-n2-20260321_061539/public_gate/staged_input_manifest.json @@ -0,0 +1,137 @@ +{ + "dataset_id": "n2", + "target_column": "free_stream_velocity", + "task_type": "classification", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/n2/bayesnet/bayesnet-n2-20260321_061539/staged/public/train.csv", + "val_csv": 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100644 index 0000000000000000000000000000000000000000..5a6b2b32de558eef6e5b09a9d7c2d3116680e8f9 --- /dev/null +++ b/syntheticSuccess/n2/realtabformer/rtf-n2-20260330_154058/train_20260330_154058.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c1dfc23291b8d4a53c9b83aee6f6547fd5cd795f19923acf174b6980196474ce +size 280564 diff --git a/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/_tabddpm_sample.py b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/_tabddpm_sample.py new file mode 100644 index 0000000000000000000000000000000000000000..4cb87b0452204917bba1cb6f919cfbcb405cfa2b --- /dev/null +++ b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/_tabddpm_sample.py @@ -0,0 +1,66 @@ +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 1202 rows") +ret = subprocess.run( + [sys.executable, wrapper, "scripts/pipeline.py", + "--config", "/work/output-SpecializedModels/n2/tabddpm/tabddpm-n2-20260322_210309/config_sample_20260425_074413.toml", + "--sample"], + cwd=tabddpm_root, + env=env +) +if ret.returncode != 0: + sys.exit(ret.returncode) + +# 将 .npy 输出转为 CSV（npy 在 TabDDPM 的 parent_dir，即 npy_dir） +info_path = "/work/output-SpecializedModels/n2/tabddpm/tabddpm-n2-20260322_210309/data/info.json" +with open(info_path) as f: + info = json.load(f) + +output_dir = "/work/output-SpecializedModels/n2/tabddpm/tabddpm-n2-20260322_210309/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/n2/tabddpm/tabddpm-n2-20260322_210309/tabddpm-n2-1202-20260425_074413.csv", index=False) + print(f"[TabDDPM] Saved {len(df)} rows -> /work/output-SpecializedModels/n2/tabddpm/tabddpm-n2-20260322_210309/tabddpm-n2-1202-20260425_074413.csv") +else: + print("[TabDDPM] WARNING: No output .npy files found") + sys.exit(1) diff --git a/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/_tabddpm_train.py b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/_tabddpm_train.py new file mode 100644 index 0000000000000000000000000000000000000000..a8fb5c0a7cb07fa0bb5a98e17f61a9c30ed98cf9 --- /dev/null +++ b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/_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/n2/tabddpm/tabddpm-n2-20260322_210309/config.toml") +ret = subprocess.run( + [sys.executable, wrapper, "scripts/pipeline.py", + "--config", "/work/output-SpecializedModels/n2/tabddpm/tabddpm-n2-20260322_210309/config.toml", + "--train"], + cwd=tabddpm_root, + env=env +) +if ret.returncode != 0: + sys.exit(ret.returncode) +print("[TabDDPM] Training complete") diff --git a/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/config.toml b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/config.toml new file mode 100644 index 0000000000000000000000000000000000000000..2c45c86a6fe202ec253480ee410c1251143001f2 --- /dev/null +++ b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/config.toml @@ -0,0 +1,39 @@ +seed = 0 +parent_dir = "/work/output-SpecializedModels/n2/tabddpm/tabddpm-n2-20260322_210309/output" +real_data_path = "/work/output-SpecializedModels/n2/tabddpm/tabddpm-n2-20260322_210309/data" +model_type = "mlp" +num_numerical_features = 5 +device = "cuda:0" + +[model_params] +d_in = 5 +num_classes = 4 +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/n2/tabddpm/tabddpm-n2-20260322_210309/config_sample_20260424_210629.toml b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/config_sample_20260424_210629.toml new file mode 100644 index 0000000000000000000000000000000000000000..1288d49fbd9f39876a4d8bc51a8ff5e333bdee15 --- /dev/null +++ b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/config_sample_20260424_210629.toml @@ -0,0 +1,39 @@ +seed = 0 +parent_dir = "/work/output-SpecializedModels/n2/tabddpm/tabddpm-n2-20260322_210309/output" +real_data_path = "/work/output-SpecializedModels/n2/tabddpm/tabddpm-n2-20260322_210309/data" +model_type = "mlp" +num_numerical_features = 5 +device = "cuda:0" + +[model_params] +d_in = 5 +num_classes = 4 +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 = 1202 +batch_size = 1000 +seed = 0 diff --git a/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/config_sample_20260425_032123.toml b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/config_sample_20260425_032123.toml new file mode 100644 index 0000000000000000000000000000000000000000..1288d49fbd9f39876a4d8bc51a8ff5e333bdee15 --- /dev/null +++ b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/config_sample_20260425_032123.toml @@ -0,0 +1,39 @@ +seed = 0 +parent_dir = "/work/output-SpecializedModels/n2/tabddpm/tabddpm-n2-20260322_210309/output" +real_data_path = "/work/output-SpecializedModels/n2/tabddpm/tabddpm-n2-20260322_210309/data" +model_type = "mlp" +num_numerical_features = 5 +device = "cuda:0" + +[model_params] +d_in = 5 +num_classes = 4 +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 = 1202 +batch_size = 1000 +seed = 0 diff --git a/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/config_sample_20260425_074413.toml b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/config_sample_20260425_074413.toml new file mode 100644 index 0000000000000000000000000000000000000000..1288d49fbd9f39876a4d8bc51a8ff5e333bdee15 --- /dev/null +++ b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/config_sample_20260425_074413.toml @@ -0,0 +1,39 @@ +seed = 0 +parent_dir = "/work/output-SpecializedModels/n2/tabddpm/tabddpm-n2-20260322_210309/output" +real_data_path = "/work/output-SpecializedModels/n2/tabddpm/tabddpm-n2-20260322_210309/data" +model_type = "mlp" +num_numerical_features = 5 +device = "cuda:0" + +[model_params] +d_in = 5 +num_classes = 4 +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 = 1202 +batch_size = 1000 +seed = 0 diff --git a/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/data/X_num_test.npy b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/data/X_num_test.npy new file mode 100644 index 0000000000000000000000000000000000000000..ca258653948a95df632e6b225063577c24e32e0a --- /dev/null +++ b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/data/X_num_test.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dfd704fd2d6901f4c0e113cf6909cfcf1c090ed9b8831c8a2f7c9a8ec9b475fa +size 3148 diff --git a/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/data/X_num_train.npy b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/data/X_num_train.npy new file mode 100644 index 0000000000000000000000000000000000000000..be34645b9b76bd259ffc15c69f5aaf8c47f7e826 --- /dev/null +++ b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/data/X_num_train.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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-0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3aa95337a8cd847557a45ea96320e1f9ca2313b1e82bdb6055d42aee4919dba5 +size 42230 diff --git a/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/input_snapshot.json b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..932730ec498a5cdfc9ad36bd7c1dcd5f5925397c --- /dev/null +++ b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/input_snapshot.json @@ -0,0 +1,36 @@ +{ + "dataset_id": "n2", + "model": "tabddpm", + "inputs": { + "train_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n2/n2-train.csv", + "exists": true, + "size": 48105, + "sha256": "b09ea43d5f44555cf7a2ec2393b964099c041542498a16a70b783255716da307" + }, + "val_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n2/n2-val.csv", + "exists": true, + "size": 6064, + "sha256": 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b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/output/X_num_train.npy new file mode 100644 index 0000000000000000000000000000000000000000..c31ce416f7703c976c284436aa238ce672e19eeb --- /dev/null +++ b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/output/X_num_train.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:86c9f6bd4085a23047034b3d84f5602041d793956787447a5d3a9b7393c2f603 +size 48208 diff --git a/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/output/X_num_unnorm.npy b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/output/X_num_unnorm.npy new file mode 100644 index 0000000000000000000000000000000000000000..60f081408d9cac4b4334b7c6d4d94b9a46ddfa93 --- /dev/null +++ b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/output/X_num_unnorm.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e9c441c18ff986d02d65848759f1e314f0703a9a37226acf35a3c55f3e294214 +size 48208 diff --git a/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/output/config.toml b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/output/config.toml new file mode 100644 index 0000000000000000000000000000000000000000..1288d49fbd9f39876a4d8bc51a8ff5e333bdee15 --- /dev/null +++ b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/output/config.toml @@ -0,0 +1,39 @@ +seed = 0 +parent_dir = "/work/output-SpecializedModels/n2/tabddpm/tabddpm-n2-20260322_210309/output" +real_data_path = "/work/output-SpecializedModels/n2/tabddpm/tabddpm-n2-20260322_210309/data" +model_type = "mlp" +num_numerical_features = 5 +device = "cuda:0" + +[model_params] +d_in = 5 +num_classes = 4 +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 = 1202 +batch_size = 1000 +seed = 0 diff --git a/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/output/data/info.json b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/output/data/info.json new file mode 100644 index 0000000000000000000000000000000000000000..be85b355e9fb3c33d4453f844f33e1c8553b46f9 --- /dev/null +++ b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/output/data/info.json @@ -0,0 +1,27 @@ +{ + "name": "benchmark_dataset", + "task_type": "multiclass", + "n_num_features": 5, + "n_cat_features": 0, + "train_size": 1202, + "num_col_idx": [ + 0, + 1, + 2, + 3, + 4 + ], + "cat_col_idx": [], + "target_col_idx": [ + 5 + ], + "column_names": [ + "frequency", + "angle_of_attack", + "chord_length", + "displacement_thickness", + "sound_pressure_level", + "free_stream_velocity" + ], + "num_classes": 4 +} \ No newline at end of file diff --git a/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/output/info.json b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/output/info.json new file mode 100644 index 0000000000000000000000000000000000000000..be85b355e9fb3c33d4453f844f33e1c8553b46f9 --- /dev/null +++ b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/output/info.json @@ -0,0 +1,27 @@ +{ + "name": "benchmark_dataset", + "task_type": "multiclass", + "n_num_features": 5, + "n_cat_features": 0, + "train_size": 1202, + "num_col_idx": [ + 0, + 1, + 2, + 3, + 4 + ], + "cat_col_idx": [], + "target_col_idx": [ + 5 + ], + "column_names": [ + "frequency", + "angle_of_attack", + "chord_length", + "displacement_thickness", + "sound_pressure_level", + "free_stream_velocity" + ], + "num_classes": 4 +} \ No newline at end of file diff --git a/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/output/loss.csv b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/output/loss.csv new file mode 100644 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b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/tabddpm-n2-1000-20260322_210410.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:77eee75f7c5097807132b4a03a891ce223e27a9668b9c023c728db2bfb51b117 +size 85537 diff --git a/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/tabddpm-n2-1202-20260425_074413.csv b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/tabddpm-n2-1202-20260425_074413.csv new file mode 100644 index 0000000000000000000000000000000000000000..7d39bf608c8957781e15d998d4b8ae2d96507231 --- /dev/null +++ b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/tabddpm-n2-1202-20260425_074413.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0e9a51f7de572195c74974ff63bf9b4daf137b65d9cd9be091cdf898492eb248 +size 102860 diff --git a/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/train_20260322_210309.log b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/train_20260322_210309.log new file mode 100644 index 0000000000000000000000000000000000000000..fd82fb6ecee484718f8223a5a6cfa6e9831ddd38 --- /dev/null +++ b/syntheticSuccess/n2/tabddpm/tabddpm-n2-20260322_210309/train_20260322_210309.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b6572dc6fdc32b27fb603b1bd3358efd8638403443402c5fe5f41cd3624dd965 +size 1118 diff --git a/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/_tabpfgen_generate.py b/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/_tabpfgen_generate.py new file mode 100644 index 0000000000000000000000000000000000000000..ed262df6a7af35eb81d4228bfe479126c2fee13c --- /dev/null +++ b/syntheticSuccess/n2/tabpfgen/n2-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/n2/staged/public/train.csv") +target_col = "free_stream_velocity" + +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(1202) + +# 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_regression") +X_syn, y_syn = gen.generate_regression(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/n2/tabpfgen-n2-1202-20260422_191741.csv", index=False) +print(f"[TabPFGen] Saved {len(syn_df)} rows -> /work/temp/tabpfgen_regen_parallel_deadline/20260422_191739/n2/tabpfgen-n2-1202-20260422_191741.csv") diff --git a/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/gen_20260422_191741.log b/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/gen_20260422_191741.log new file mode 100644 index 0000000000000000000000000000000000000000..bc57dbfc3fa4c9e6a299c782977a66056e223beb --- /dev/null +++ b/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/gen_20260422_191741.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:815c329e4c8eb1b76a524b205aed8fce5f8bc8844b2fd33da09853ac1386d848 +size 524 diff --git a/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/input_snapshot.json b/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..cfe9dcb3bf976ccff0f8c5304771cedf3fee2cb9 --- /dev/null +++ b/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/input_snapshot.json @@ -0,0 +1,36 @@ +{ + "dataset_id": "n2", + "model": "tabpfgen", + "inputs": { + "train_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n2/n2-train.csv", + "exists": true, + "size": 48105, + "sha256": "b09ea43d5f44555cf7a2ec2393b964099c041542498a16a70b783255716da307" + }, + "val_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n2/n2-val.csv", + "exists": true, + "size": 6064, + "sha256": "f2ca0c324c274549a0453e5dbae8be02c6322d44a8026bebad298550d9ba7b92" + }, + "test_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n2/n2-test.csv", + "exists": true, + "size": 6130, + "sha256": "9e43dcd24da340c46c8008c12295c5f63103deeaa40c2b5e5438a811fb16bdd8" + }, + "profile_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/n2/n2-dataset_profile.json", + "exists": true, + "size": 3310, + "sha256": "db39eafed778fa1c452d82b1caad5be2a93a26fbaf6fe83e0d8db4d02ba195c8" + }, + "contract_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/n2/n2-dataset_contract_v1.json", + "exists": true, + "size": 3565, + "sha256": "2da5645c44004032f894d5d9ddc560383a4a0950236159424611e6e372a66bea" + } + } +} \ No newline at end of file diff --git a/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/public_gate/normalized_schema_snapshot.json b/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/public_gate/normalized_schema_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..544491e7e40893ca347751c3b6db251c35758fe3 --- /dev/null +++ b/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/public_gate/normalized_schema_snapshot.json @@ -0,0 +1,132 @@ +{ + "dataset_id": "n2", + "target_column": "free_stream_velocity", + "task_type": "classification", + "columns": [ + { + "name": "frequency", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 21, + "unique_ratio": 0.017471, + "example_values": [ + "800", + "1250", + "1000", + "5000", + "2000" + ] + } + }, + { + "name": "angle_of_attack", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 27, + "unique_ratio": 0.022463, + "example_values": [ + "0", + "4.8", + "5.4", + "4", + "7.3" + ] + } + }, + { + "name": "chord_length", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 6, + "unique_ratio": 0.004992, + "example_values": [ + "0.3048", + "0.2286", + "0.0508", + "0.0254", + "0.1016" + ] + } + }, + { + "name": "free_stream_velocity", + "role": "target", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.003328, + "example_values": [ + "71.3", + "31.7", + "39.6", + "55.5" + ] + } + }, + { + "name": "displacement_thickness", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 105, + "unique_ratio": 0.087354, + "example_values": [ + "0.00266337", + "0.00214345", + "0.000812164", + "0.000907475", + "0.00150092" + ] + } + }, + { + "name": "sound_pressure_level", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 1171, + "unique_ratio": 0.97421, + "example_values": [ + "126.201", + "128.144", + "122.790", + "122.956", + "124.393" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/public_gate/public_gate_report.json b/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/public_gate/public_gate_report.json new file mode 100644 index 0000000000000000000000000000000000000000..cb009de874232fb93facfa2cab4c314aa6882abf --- /dev/null +++ b/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/public_gate/public_gate_report.json @@ -0,0 +1,37 @@ +{ + "dataset_id": "n2", + "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": "free_stream_velocity", + "task_type": "classification", + "input_splits": { + "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n2/n2-train.csv", + "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n2/n2-val.csv", + "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n2/n2-test.csv" + } +} \ No newline at end of file diff --git a/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/public_gate/staged_input_manifest.json b/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/public_gate/staged_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f4d46a811a12689b95222734ff458f968fc1328d --- /dev/null +++ b/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/public_gate/staged_input_manifest.json @@ -0,0 +1,137 @@ +{ + "dataset_id": "n2", + "target_column": "free_stream_velocity", + "task_type": "classification", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/n2/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/n2/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/n2/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/n2/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/n2/public_gate/public_gate_report.json", + "column_schema": [ + { + "name": "frequency", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 21, + "unique_ratio": 0.017471, + "example_values": [ + "800", + "1250", + "1000", + "5000", + "2000" + ] + } + }, + { + "name": "angle_of_attack", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 27, + "unique_ratio": 0.022463, + "example_values": [ + "0", + "4.8", + "5.4", + "4", + "7.3" + ] + } + }, + { + "name": "chord_length", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 6, + "unique_ratio": 0.004992, + "example_values": [ + "0.3048", + "0.2286", + "0.0508", + "0.0254", + "0.1016" + ] + } + }, + { + "name": "free_stream_velocity", + "role": "target", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.003328, + "example_values": [ + "71.3", + "31.7", + "39.6", + "55.5" + ] + } + }, + { + "name": "displacement_thickness", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 105, + "unique_ratio": 0.087354, + "example_values": [ + "0.00266337", + "0.00214345", + "0.000812164", + "0.000907475", + "0.00150092" + ] + } + }, + { + "name": "sound_pressure_level", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 1171, + "unique_ratio": 0.97421, + "example_values": [ + "126.201", + "128.144", + "122.790", + "122.956", + "124.393" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/runner.log b/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/runner.log new file mode 100644 index 0000000000000000000000000000000000000000..8cdb4f11d1429a3e7fb1a52f6867dff101702fbf --- /dev/null +++ b/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/runner.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b43b67bcd65c5d845975f57f5bf89d0a8590bd9fb0f884846e07a33eac813114 +size 1349 diff --git a/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/runtime_result.json b/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/runtime_result.json new file mode 100644 index 0000000000000000000000000000000000000000..b89cafcdee02ca60116f3bb27b13b5acbfdfae23 --- /dev/null +++ b/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/runtime_result.json @@ -0,0 +1,14 @@ +{ + "dataset_id": "n2", + "model": "tabpfgen", + "run_id": "n2-migrated-20260422_193053", + "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/n2/tabpfgen/n2-migrated-20260422_193053/tabpfgen-n2-1202-20260422_191741.csv" + } +} \ No newline at end of file diff --git a/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/staged/public/staged_features.json b/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/staged/public/staged_features.json new file mode 100644 index 0000000000000000000000000000000000000000..44906bee08994617039fe2bdb45ac91e5608c9db --- /dev/null +++ b/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/staged/public/staged_features.json @@ -0,0 +1,32 @@ +[ + { + "feature_name": "frequency", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "angle_of_attack", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "chord_length", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "free_stream_velocity", + "data_type": "continuous", + "is_target": true + }, + { + "feature_name": "displacement_thickness", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "sound_pressure_level", + "data_type": "continuous", + "is_target": false + } +] \ No newline at end of file diff --git a/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/staged/public/test.csv 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a/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/staged/public/val.csv b/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/staged/public/val.csv new file mode 100644 index 0000000000000000000000000000000000000000..b2aeba5f63aae25e7bf98dae82bc1ad310432999 --- /dev/null +++ b/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/staged/public/val.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fc14d060a0f2177ff380c42c2fbf1dd0c5410f1b5904a2bd1f0e28e3ca71fe0d +size 6032 diff --git a/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/staged/tabpfgen/adapter_report.json b/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/staged/tabpfgen/adapter_report.json new file mode 100644 index 0000000000000000000000000000000000000000..756c906ec138fb0dcd163baaf0a8bf26974c21bf --- /dev/null +++ b/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/staged/tabpfgen/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/temp/tabpfgen_regen_parallel_deadline/20260422_191739/n2/staged/tabpfgen/model_input_manifest.json" +} \ No newline at end of file diff --git a/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/staged/tabpfgen/adapter_transforms_applied.json b/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/staged/tabpfgen/adapter_transforms_applied.json new file mode 100644 index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc --- /dev/null +++ b/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/staged/tabpfgen/adapter_transforms_applied.json @@ -0,0 +1 @@ +[] \ No newline at end of file diff --git a/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/staged/tabpfgen/model_input_manifest.json b/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/staged/tabpfgen/model_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d40151f4c4d02faeceebab6e7b08ef0e2ee14d90 --- /dev/null +++ b/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/staged/tabpfgen/model_input_manifest.json @@ -0,0 +1,139 @@ +{ + "dataset_id": "n2", + "model": "tabpfgen", + "target_column": "free_stream_velocity", + "task_type": "classification", + "column_schema": [ + { + "name": "frequency", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 21, + "unique_ratio": 0.017471, + "example_values": [ + "800", + "1250", + "1000", + "5000", + "2000" + ] + } + }, + { + "name": "angle_of_attack", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 27, + "unique_ratio": 0.022463, + "example_values": [ + "0", + "4.8", + "5.4", + "4", + "7.3" + ] + } + }, + { + "name": "chord_length", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 6, + "unique_ratio": 0.004992, + "example_values": [ + "0.3048", + "0.2286", + "0.0508", + "0.0254", + "0.1016" + ] + } + }, + { + "name": "free_stream_velocity", + "role": "target", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.003328, + "example_values": [ + "71.3", + "31.7", + "39.6", + "55.5" + ] + } + }, + { + "name": "displacement_thickness", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 105, + "unique_ratio": 0.087354, + "example_values": [ + "0.00266337", + "0.00214345", + "0.000812164", + "0.000907475", + "0.00150092" + ] + } + }, + { + "name": "sound_pressure_level", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 1171, + "unique_ratio": 0.97421, + "example_values": [ + "126.201", + "128.144", + "122.790", + "122.956", + "124.393" + ] + } + } + ], + "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/n2/public_gate/staged_input_manifest.json", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/n2/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/n2/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/n2/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/n2/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/n2/public_gate/public_gate_report.json" +} \ No newline at end of file diff --git a/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/tabpfgen-n2-1202-20260422_191741.csv b/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/tabpfgen-n2-1202-20260422_191741.csv new file mode 100644 index 0000000000000000000000000000000000000000..7fb6dbc8febaf8dac9d2a623dd9401337cbd64cb --- /dev/null +++ b/syntheticSuccess/n2/tabpfgen/n2-migrated-20260422_193053/tabpfgen-n2-1202-20260422_191741.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0f89b765a7d4a7da7da827ff5bdb0977bf580dbb8a3111bbc1e9fe4c509867f5 +size 86035 diff --git a/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/_tvae_generate.py b/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/_tvae_generate.py new file mode 100644 index 0000000000000000000000000000000000000000..3cdae1dfb6f61e6bf33e16a6197e050bd17835c4 --- /dev/null +++ b/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/_tvae_generate.py @@ -0,0 +1,5 @@ +from ctgan.synthesizers.tvae import TVAE +model = TVAE.load("/work/output-SpecializedModels/n2/tvae/tvae-n2-20260321_070404/models_300epochs/tvae_300epochs.pt") +samples = model.sample(1202) +samples.to_csv("/work/output-SpecializedModels/n2/tvae/tvae-n2-20260321_070404/tvae-n2-1202-20260330_070018.csv", index=False) +print(f"[TVAE] Generated 1202 rows -> /work/output-SpecializedModels/n2/tvae/tvae-n2-20260321_070404/tvae-n2-1202-20260330_070018.csv") diff --git a/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/_tvae_train.py b/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/_tvae_train.py new file mode 100644 index 0000000000000000000000000000000000000000..e35ba9d0a13dad39b1766eae84404ede7fde106b --- /dev/null +++ b/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/_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/output-SpecializedModels/n2/tvae/tvae-n2-20260321_070404/staged/public/train.csv" +meta_path = "/work/output-SpecializedModels/n2/tvae/tvae-n2-20260321_070404/tvae_metadata.json" +save_path = "/work/output-SpecializedModels/n2/tvae/tvae-n2-20260321_070404/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/n2/tvae/tvae-n2-20260321_070404/gen_20260321_070456.log b/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/gen_20260321_070456.log new file mode 100644 index 0000000000000000000000000000000000000000..9a0068f69e05ee128d2aa9bea0744eff9ac41b10 --- /dev/null +++ b/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/gen_20260321_070456.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1c4d90b83ede10a7b8a311af15d2e5a471c7582d2e120f1058ccabd26992e901 +size 126 diff --git a/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/gen_20260330_070018.log b/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/gen_20260330_070018.log new file mode 100644 index 0000000000000000000000000000000000000000..31262a64e703ccec3784c1b7c6ed5167ca0cdab5 --- /dev/null +++ b/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/gen_20260330_070018.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a39a5ef6c08fa1ceee7dc89132876b7f092c25481ebbefdfa0cf247a7c27e81f +size 126 diff --git a/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/input_snapshot.json b/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..1f19f1e5f3669862c75376999e36efc5c42e8148 --- /dev/null +++ b/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/input_snapshot.json @@ -0,0 +1,36 @@ +{ + "dataset_id": "n2", + "model": "tvae", + "inputs": { + "train_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n2/n2-train.csv", + "exists": true, + "size": 48105, + "sha256": "b09ea43d5f44555cf7a2ec2393b964099c041542498a16a70b783255716da307" + }, + "val_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n2/n2-val.csv", + "exists": true, + "size": 6064, + "sha256": "f2ca0c324c274549a0453e5dbae8be02c6322d44a8026bebad298550d9ba7b92" + }, + "test_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n2/n2-test.csv", + "exists": true, + "size": 6130, + "sha256": "9e43dcd24da340c46c8008c12295c5f63103deeaa40c2b5e5438a811fb16bdd8" + }, + "profile_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/n2/n2-dataset_profile.json", + "exists": true, + "size": 3310, + "sha256": "db39eafed778fa1c452d82b1caad5be2a93a26fbaf6fe83e0d8db4d02ba195c8" + }, + "contract_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/n2/n2-dataset_contract_v1.json", + "exists": true, + "size": 3565, + "sha256": "2da5645c44004032f894d5d9ddc560383a4a0950236159424611e6e372a66bea" + } + } +} \ No newline at end of file diff --git a/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/models_300epochs/train_20260321_070404.log b/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/models_300epochs/train_20260321_070404.log new file mode 100644 index 0000000000000000000000000000000000000000..6f3a9ce039e39cc5a271198743273c1c709afa9e --- /dev/null +++ b/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/models_300epochs/train_20260321_070404.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:682054988aec1a9f129a6fb344ed66f9ad6fb5fc1bc70b4846ae331743673b88 +size 169 diff --git a/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/models_300epochs/tvae_300epochs.pt b/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/models_300epochs/tvae_300epochs.pt new file mode 100644 index 0000000000000000000000000000000000000000..aa9d82e16abcd3caf30b4a8f3b423a9b8fcdc0f6 --- /dev/null +++ b/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/models_300epochs/tvae_300epochs.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d22f3beadc9968107bba56bfe83608e56b4a514fe235a244adbad489e3794674 +size 369004 diff --git a/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/public_gate/normalized_schema_snapshot.json b/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/public_gate/normalized_schema_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..544491e7e40893ca347751c3b6db251c35758fe3 --- /dev/null +++ b/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/public_gate/normalized_schema_snapshot.json @@ -0,0 +1,132 @@ +{ + "dataset_id": "n2", + "target_column": "free_stream_velocity", + "task_type": "classification", + "columns": [ + { + "name": "frequency", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 21, + "unique_ratio": 0.017471, + "example_values": [ + "800", + "1250", + "1000", + "5000", + "2000" + ] + } + }, + { + "name": "angle_of_attack", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 27, + "unique_ratio": 0.022463, + "example_values": [ + "0", + "4.8", + "5.4", + "4", + "7.3" + ] + } + }, + { + "name": "chord_length", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 6, + "unique_ratio": 0.004992, + "example_values": [ + "0.3048", + "0.2286", + "0.0508", + "0.0254", + "0.1016" + ] + } + }, + { + "name": "free_stream_velocity", + "role": "target", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4, + "unique_ratio": 0.003328, + "example_values": [ + "71.3", + "31.7", + "39.6", + "55.5" + ] + } + }, + { + "name": "displacement_thickness", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 105, + "unique_ratio": 0.087354, + "example_values": [ + "0.00266337", + "0.00214345", + "0.000812164", + "0.000907475", + "0.00150092" + ] + } + }, + { + "name": "sound_pressure_level", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 1171, + "unique_ratio": 0.97421, + "example_values": [ + "126.201", + "128.144", + "122.790", + "122.956", + "124.393" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/public_gate/public_gate_report.json b/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/public_gate/public_gate_report.json new file mode 100644 index 0000000000000000000000000000000000000000..cb009de874232fb93facfa2cab4c314aa6882abf --- /dev/null +++ b/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/public_gate/public_gate_report.json @@ -0,0 +1,37 @@ +{ + "dataset_id": "n2", + "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": "free_stream_velocity", + "task_type": "classification", + "input_splits": { + "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n2/n2-train.csv", + "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n2/n2-val.csv", + "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n2/n2-test.csv" + } +} \ No newline at end of file diff --git a/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/public_gate/staged_input_manifest.json b/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/public_gate/staged_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..de2dda0f519fa20117b15aa4b788bbf0d22c9b93 --- /dev/null +++ b/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/public_gate/staged_input_manifest.json 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--git a/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/staged/public/staged_features.json b/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/staged/public/staged_features.json new file mode 100644 index 0000000000000000000000000000000000000000..44906bee08994617039fe2bdb45ac91e5608c9db --- /dev/null +++ b/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/staged/public/staged_features.json @@ -0,0 +1,32 @@ +[ + { + "feature_name": "frequency", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "angle_of_attack", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "chord_length", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "free_stream_velocity", + "data_type": "continuous", + "is_target": true + }, + { + "feature_name": "displacement_thickness", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "sound_pressure_level", + "data_type": "continuous", + "is_target": false + } +] \ No newline at end of file diff --git a/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/staged/public/test.csv b/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/staged/public/test.csv new file mode 100644 index 0000000000000000000000000000000000000000..8e752056b9f0d146f963f99f5d4df9e4a27737f7 --- /dev/null +++ b/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/staged/public/test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6b641c03347c5b451dd6fb120aecc9e3480dbac4929a14978b5dbeb846946c5d +size 6068 diff --git a/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/staged/public/train.csv b/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/staged/public/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..19e6e5401b6078535637c660223158f2c341e3b1 --- /dev/null +++ b/syntheticSuccess/n2/tvae/tvae-n2-20260321_070404/staged/public/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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