Resume SynthData0523 main/c12 batch 1

.gitattributes

@@ -538,3 +538,110 @@ SynthData0523/main/c11/tvae/tvae-c11-20260321_112101/staged/public/train.csv fil
 SynthData0523/main/c11/tvae/tvae-c11-20260321_112101/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
 SynthData0523/main/c11/tvae/tvae-c11-20260321_112101/tvae-c11-1000-20260321_113621.csv filter=lfs diff=lfs merge=lfs -text
 SynthData0523/main/c11/tvae/tvae-c11-20260321_112101/tvae-c11-54045-20260330_065346.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/arf/arf-c12-20260321_133736/arf-c12-1000-20260321_160614.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/arf/arf-c12-20260321_133736/arf-c12-2623-20260330_065419.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/arf/arf-c12-20260321_133736/arf_model.pkl filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/arf/arf-c12-20260321_133736/gen_20260321_160614.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/arf/arf-c12-20260321_133736/gen_20260330_065419.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/arf/arf-c12-20260321_133736/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/arf/arf-c12-20260321_133736/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/arf/arf-c12-20260321_133736/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/arf/arf-c12-20260321_133736/train_20260321_133751.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/bayesnet/bayesnet-c12-20260321_062527/bayesnet-c12-1000-20260321_071907.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/bayesnet/bayesnet-c12-20260321_062527/bayesnet-c12-2623-20260330_065421.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/bayesnet/bayesnet-c12-20260321_062527/bayesnet_model.pkl filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/bayesnet/bayesnet-c12-20260321_062527/gen_20260321_071907.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/bayesnet/bayesnet-c12-20260321_062527/gen_20260330_065421.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/bayesnet/bayesnet-c12-20260321_062527/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/bayesnet/bayesnet-c12-20260321_062527/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/bayesnet/bayesnet-c12-20260321_062527/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/bayesnet/bayesnet-c12-20260321_062527/train_20260321_062544.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/ctgan/ctgan-c12-20260321_202808/ctgan-c12-1000-20260321_234220.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/ctgan/ctgan-c12-20260321_202808/ctgan-c12-2623-20260330_065409.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/ctgan/ctgan-c12-20260321_202808/models_300epochs/ctgan_300epochs.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/ctgan/ctgan-c12-20260321_202808/models_300epochs/train_20260321_202823.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/ctgan/ctgan-c12-20260321_202808/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/ctgan/ctgan-c12-20260321_202808/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/ctgan/ctgan-c12-20260321_202808/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/forestdiffusion/forest-c12-20260511_134918/_fd_X_host.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/forestdiffusion/forest-c12-20260511_134918/_fd_meta_host.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/forestdiffusion/forest-c12-20260511_134918/forest-c12-2623-20260511_135003.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/forestdiffusion/forest-c12-20260511_134918/forestdiffusion_model.joblib filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/forestdiffusion/forest-c12-20260511_134918/gen_20260511_135003.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/forestdiffusion/forest-c12-20260511_134918/input_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/forestdiffusion/forest-c12-20260511_134918/models_fd/model.joblib filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/forestdiffusion/forest-c12-20260511_134918/public_gate/normalized_schema_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/forestdiffusion/forest-c12-20260511_134918/public_gate/public_gate_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/forestdiffusion/forest-c12-20260511_134918/public_gate/staged_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/forestdiffusion/forest-c12-20260511_134918/run_config.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/forestdiffusion/forest-c12-20260511_134918/runtime_result.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/forestdiffusion/forest-c12-20260511_134918/staged/forestdiffusion/adapter_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/forestdiffusion/forest-c12-20260511_134918/staged/forestdiffusion/adapter_transforms_applied.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/forestdiffusion/forest-c12-20260511_134918/staged/forestdiffusion/model_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/forestdiffusion/forest-c12-20260511_134918/staged/public/staged_features.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/forestdiffusion/forest-c12-20260511_134918/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/forestdiffusion/forest-c12-20260511_134918/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/forestdiffusion/forest-c12-20260511_134918/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/forestdiffusion/forest-c12-20260511_134918/train_20260511_134923.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/realtabformer/rtf-c12-20260329_190210/gen_20260329_200017.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/realtabformer/rtf-c12-20260329_190210/gen_20260418_073646.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/realtabformer/rtf-c12-20260329_190210/gen_20260418_073844.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/realtabformer/rtf-c12-20260329_190210/gen_20260418_075528.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/realtabformer/rtf-c12-20260329_190210/gen_20260418_093528.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/realtabformer/rtf-c12-20260329_190210/models_100epochs/id000017747856140526518272/rtf_model.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/realtabformer/rtf-c12-20260329_190210/rtf-c12-1000-20260329_200017.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/realtabformer/rtf-c12-20260329_190210/rtf-c12-2623-20260418_075528.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/realtabformer/rtf-c12-20260329_190210/rtf-c12-2623-20260418_093528.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/realtabformer/rtf-c12-20260329_190210/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/realtabformer/rtf-c12-20260329_190210/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/realtabformer/rtf-c12-20260329_190210/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/realtabformer/rtf-c12-20260329_190210/train_20260329_190225.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabbyflow/tabbyflow-c12-20260515_180730/train_20260515_180751.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabpfgen/c12-migrated-20260422_193053/gen_20260422_191757.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabpfgen/c12-migrated-20260422_193053/runner.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabpfgen/c12-migrated-20260422_193053/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabpfgen/c12-migrated-20260422_193053/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabpfgen/c12-migrated-20260422_193053/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabpfgen/c12-migrated-20260422_193053/tabpfgen-c12-2623-20260422_191757.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabsyn/tabsyn-c12-20260512_202228/data/tabsyn_c12_tabsyn_c12_20260512_202228/X_cat_test.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabsyn/tabsyn-c12-20260512_202228/data/tabsyn_c12_tabsyn_c12_20260512_202228/X_cat_train.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabsyn/tabsyn-c12-20260512_202228/data/tabsyn_c12_tabsyn_c12_20260512_202228/X_num_test.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabsyn/tabsyn-c12-20260512_202228/data/tabsyn_c12_tabsyn_c12_20260512_202228/X_num_train.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabsyn/tabsyn-c12-20260512_202228/data/tabsyn_c12_tabsyn_c12_20260512_202228/info.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabsyn/tabsyn-c12-20260512_202228/data/tabsyn_c12_tabsyn_c12_20260512_202228/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabsyn/tabsyn-c12-20260512_202228/data/tabsyn_c12_tabsyn_c12_20260512_202228/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabsyn/tabsyn-c12-20260512_202228/data/tabsyn_c12_tabsyn_c12_20260512_202228/y_test.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabsyn/tabsyn-c12-20260512_202228/data/tabsyn_c12_tabsyn_c12_20260512_202228/y_train.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabsyn/tabsyn-c12-20260512_202228/gen_20260512_202853.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabsyn/tabsyn-c12-20260512_202228/input_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabsyn/tabsyn-c12-20260512_202228/public_gate/normalized_schema_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabsyn/tabsyn-c12-20260512_202228/public_gate/public_gate_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabsyn/tabsyn-c12-20260512_202228/public_gate/staged_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabsyn/tabsyn-c12-20260512_202228/run_config.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabsyn/tabsyn-c12-20260512_202228/runtime_result.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabsyn/tabsyn-c12-20260512_202228/staged/public/staged_features.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabsyn/tabsyn-c12-20260512_202228/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabsyn/tabsyn-c12-20260512_202228/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabsyn/tabsyn-c12-20260512_202228/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabsyn/tabsyn-c12-20260512_202228/staged/tabsyn/adapter_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabsyn/tabsyn-c12-20260512_202228/staged/tabsyn/adapter_transforms_applied.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabsyn/tabsyn-c12-20260512_202228/staged/tabsyn/model_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabsyn/tabsyn-c12-20260512_202228/synthetic/tabsyn_c12_tabsyn_c12_20260512_202228/real.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabsyn/tabsyn-c12-20260512_202228/synthetic/tabsyn_c12_tabsyn_c12_20260512_202228/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabsyn/tabsyn-c12-20260512_202228/tabsyn-c12-2623-20260512_202853.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabsyn/tabsyn-c12-20260512_202228/tabsyn_ckpt/diffusion/tabsyn_c12_tabsyn_c12_20260512_202228/model.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabsyn/tabsyn-c12-20260512_202228/tabsyn_ckpt/diffusion/tabsyn_c12_tabsyn_c12_20260512_202228/model_0.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabsyn/tabsyn-c12-20260512_202228/tabsyn_ckpt/vae/tabsyn_c12_tabsyn_c12_20260512_202228/decoder.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabsyn/tabsyn-c12-20260512_202228/tabsyn_ckpt/vae/tabsyn_c12_tabsyn_c12_20260512_202228/encoder.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabsyn/tabsyn-c12-20260512_202228/tabsyn_ckpt/vae/tabsyn_c12_tabsyn_c12_20260512_202228/model.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabsyn/tabsyn-c12-20260512_202228/tabsyn_ckpt/vae/tabsyn_c12_tabsyn_c12_20260512_202228/train_z.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tabsyn/tabsyn-c12-20260512_202228/train_20260512_202237.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tvae/tvae-c12-20260321_113634/gen_20260321_125605.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tvae/tvae-c12-20260321_113634/gen_20260330_065417.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tvae/tvae-c12-20260321_113634/models_300epochs/train_20260321_113650.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tvae/tvae-c12-20260321_113634/models_300epochs/tvae_300epochs.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tvae/tvae-c12-20260321_113634/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tvae/tvae-c12-20260321_113634/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tvae/tvae-c12-20260321_113634/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tvae/tvae-c12-20260321_113634/tvae-c12-1000-20260321_125605.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c12/tvae/tvae-c12-20260321_113634/tvae-c12-2623-20260330_065417.csv filter=lfs diff=lfs merge=lfs -text

SynthData0523/main/c12/arf/arf-c12-20260321_133736/_arf_generate.py

@@ -0,0 +1,6 @@
+import pickle
+with open("/work/output-SpecializedModels/c12/arf/arf-c12-20260321_133736/arf_model.pkl", "rb") as f:
+    model = pickle.load(f)
+syn = model.forge(n=2623)
+syn.to_csv("/work/output-SpecializedModels/c12/arf/arf-c12-20260321_133736/arf-c12-2623-20260330_065419.csv", index=False)
+print(f"[ARF] Generated 2623 rows -> /work/output-SpecializedModels/c12/arf/arf-c12-20260321_133736/arf-c12-2623-20260330_065419.csv")

SynthData0523/main/c12/arf/arf-c12-20260321_133736/_arf_train.py

@@ -0,0 +1,19 @@
+import pickle
+import pandas as pd
+from arfpy import arf
+
+df = pd.read_csv("/work/output-SpecializedModels/c12/arf/arf-c12-20260321_133736/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/c12/arf/arf-c12-20260321_133736/arf_model.pkl", "wb") as f:
+    pickle.dump(model, f)
+print(f"[ARF] Model saved -> /work/output-SpecializedModels/c12/arf/arf-c12-20260321_133736/arf_model.pkl")

SynthData0523/main/c12/arf/arf-c12-20260321_133736/arf-c12-1000-20260321_160614.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:14dad6f0c66864575b2ccdb01f702fe60e4cd4124ba46ac40f5a9b81e82df8e4
+size 12525154

SynthData0523/main/c12/arf/arf-c12-20260321_133736/arf-c12-2623-20260330_065419.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:684ec0d098cea414a3972a4f3d46784904d4864784c6511b20b4742688ee357a
+size 32812469

SynthData0523/main/c12/arf/arf-c12-20260321_133736/arf_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b112d47e2dc8c2fc7073874b07f5a0937e23325218e889c07d1eb9e5ce830c6c
+size 745588565

SynthData0523/main/c12/arf/arf-c12-20260321_133736/gen_20260321_160614.log

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:347a808aedcc69a0d6bf8bed4fd624e8d988b492154556c70d61970eb718778a
+size 491821

SynthData0523/main/c12/arf/arf-c12-20260321_133736/gen_20260330_065419.log

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e2ef470aaf56ff44ce4e6eac56fba1b3b83d85ceeb928c892e121c7ef7c1a0de
+size 491821

SynthData0523/main/c12/arf/arf-c12-20260321_133736/input_snapshot.json

@@ -0,0 +1,36 @@
+{
+  "dataset_id": "c12",
+  "model": "arf",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c12/c12-train.csv",
+      "exists": true,
+      "size": 32714405,
+      "sha256": "33bb117347198c71163d5f3264264432732b63d98589da2700f184e3a81f4456"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c12/c12-val.csv",
+      "exists": true,
+      "size": 4101144,
+      "sha256": "378b56871d42f5b6a36b250994ed5784943d07f1e3d5b07ec1e3703bcb712c82"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c12/c12-test.csv",
+      "exists": true,
+      "size": 4125941,
+      "sha256": "f92d9e4c6743fbcff792d530af9fc93e6107201cc0e1fabf4c41efa8b51a609e"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c12/c12-dataset_profile.json",
+      "exists": true,
+      "size": 503575,
+      "sha256": "e655d13d30e13553c67ee13ddee5a9bdf512fbeb7d7b9d213f59d67b44e4d5d9"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c12/c12-dataset_contract_v1.json",
+      "exists": true,
+      "size": 658208,
+      "sha256": "2ec2c7c7dbaf914604b2d22474b10d3d2ec64e0a521b78930c5a87a4e5a4e0fb"
+    }
+  }
+}

SynthData0523/main/c12/arf/arf-c12-20260321_133736/public_gate/public_gate_report.json

@@ -0,0 +1,37 @@
+{
+  "dataset_id": "c12",
+  "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/c12/c12-train.csv",
+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c12/c12-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c12/c12-test.csv"
+  }
+}

SynthData0523/main/c12/arf/arf-c12-20260321_133736/runtime_result.json

@@ -0,0 +1,14 @@
+{
+  "dataset_id": "c12",
+  "model": "arf",
+  "run_id": "arf-c12-20260321_133736",
+  "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/c12/arf/arf-c12-20260321_133736/arf-c12-2623-20260330_065419.csv"
+  }
+}

SynthData0523/main/c12/arf/arf-c12-20260321_133736/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/c12/arf/arf-c12-20260321_133736/staged/arf/model_input_manifest.json"
+}

SynthData0523/main/c12/arf/arf-c12-20260321_133736/staged/arf/adapter_transforms_applied.json

@@ -0,0 +1 @@
+[]

SynthData0523/main/c12/arf/arf-c12-20260321_133736/staged/public/test.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:377cdc71dcb1451916e4b052f69dcae90c8648105e3d82016bc74348443e25be
+size 4125897

SynthData0523/main/c12/arf/arf-c12-20260321_133736/staged/public/train.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6c75114f21bd2661465a1c07af94f5249e6d47d50230c60699e74843acb77c74
+size 32713969

SynthData0523/main/c12/arf/arf-c12-20260321_133736/staged/public/val.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9db0022070ad285c003e836f1ec85618f79abd9f38c8801581bbccba183f91eb
+size 4101090

SynthData0523/main/c12/arf/arf-c12-20260321_133736/train_20260321_133751.log

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0ee9ede38d4e8929ea74f37eed618a1c1bf7d284c99856c6e64946c40c9fa752
+size 412

SynthData0523/main/c12/bayesnet/bayesnet-c12-20260321_062527/_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/c12/bayesnet/bayesnet-c12-20260321_062527/bayesnet_model.pkl", "rb") as f:
+    plugin = pickle.load(f)
+syn = plugin.generate(count=2623).dataframe()
+
+# Restore zero-variance columns that were dropped during training
+const_path = "/work/output-SpecializedModels/c12/bayesnet/bayesnet-c12-20260321_062527/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/c12/bayesnet/bayesnet-c12-20260321_062527/bayesnet-c12-2623-20260330_065421.csv", index=False)
+print(f"[BayesNet] Generated 2623 rows -> /work/output-SpecializedModels/c12/bayesnet/bayesnet-c12-20260321_062527/bayesnet-c12-2623-20260330_065421.csv")

SynthData0523/main/c12/bayesnet/bayesnet-c12-20260321_062527/_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/c12/bayesnet/bayesnet-c12-20260321_062527/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/c12/bayesnet/bayesnet-c12-20260321_062527/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/c12/bayesnet/bayesnet-c12-20260321_062527/bayesnet_model.pkl", "wb") as f:
+    pickle.dump(plugin, f)
+print(f"[BayesNet] Model saved -> /work/output-SpecializedModels/c12/bayesnet/bayesnet-c12-20260321_062527/bayesnet_model.pkl")

SynthData0523/main/c12/bayesnet/bayesnet-c12-20260321_062527/bayesnet-c12-1000-20260321_071907.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:126192e5364571327b323b50de2ff7a8927bf2e3cbb9977655f70674a645f996
+size 12499483

SynthData0523/main/c12/bayesnet/bayesnet-c12-20260321_062527/bayesnet-c12-2623-20260330_065421.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68d1a7141e1d4d379b55de08c5d78413d9e273d899cfb80a7fe5b2cfe771d55f
+size 32744438

SynthData0523/main/c12/bayesnet/bayesnet-c12-20260321_062527/bayesnet_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68fdb6c185c86f561e19335f94a800f239aa347dd713b4e106e08b20e7545643
+size 72544705

SynthData0523/main/c12/bayesnet/bayesnet-c12-20260321_062527/const_cols.json

@@ -0,0 +1 @@
+{}

SynthData0523/main/c12/bayesnet/bayesnet-c12-20260321_062527/gen_20260321_071907.log

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7cb22fff2498cf0ab55bc9808dd85ecd8058b713983986f9970ac6778e81c5bc
+size 1475

SynthData0523/main/c12/bayesnet/bayesnet-c12-20260321_062527/gen_20260330_065421.log

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:70e74fdc7446cd38587b406d58ee67c6712b2ca81a0c63f40461a4dc3f1e029c
+size 1475

SynthData0523/main/c12/bayesnet/bayesnet-c12-20260321_062527/input_snapshot.json

@@ -0,0 +1,36 @@
+{
+  "dataset_id": "c12",
+  "model": "bayesnet",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c12/c12-train.csv",
+      "exists": true,
+      "size": 32714405,
+      "sha256": "33bb117347198c71163d5f3264264432732b63d98589da2700f184e3a81f4456"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c12/c12-val.csv",
+      "exists": true,
+      "size": 4101144,
+      "sha256": "378b56871d42f5b6a36b250994ed5784943d07f1e3d5b07ec1e3703bcb712c82"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c12/c12-test.csv",
+      "exists": true,
+      "size": 4125941,
+      "sha256": "f92d9e4c6743fbcff792d530af9fc93e6107201cc0e1fabf4c41efa8b51a609e"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c12/c12-dataset_profile.json",
+      "exists": true,
+      "size": 503575,
+      "sha256": "e655d13d30e13553c67ee13ddee5a9bdf512fbeb7d7b9d213f59d67b44e4d5d9"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c12/c12-dataset_contract_v1.json",
+      "exists": true,
+      "size": 658208,
+      "sha256": "2ec2c7c7dbaf914604b2d22474b10d3d2ec64e0a521b78930c5a87a4e5a4e0fb"
+    }
+  }
+}

SynthData0523/main/c12/bayesnet/bayesnet-c12-20260321_062527/public_gate/public_gate_report.json

@@ -0,0 +1,37 @@
+{
+  "dataset_id": "c12",
+  "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/c12/c12-train.csv",
+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c12/c12-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c12/c12-test.csv"
+  }
+}

SynthData0523/main/c12/bayesnet/bayesnet-c12-20260321_062527/runtime_result.json

@@ -0,0 +1,14 @@
+{
+  "dataset_id": "c12",
+  "model": "bayesnet",
+  "run_id": "bayesnet-c12-20260321_062527",
+  "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/c12/bayesnet/bayesnet-c12-20260321_062527/bayesnet-c12-2623-20260330_065421.csv"
+  }
+}

SynthData0523/main/c12/bayesnet/bayesnet-c12-20260321_062527/staged/bayesnet/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/c12/bayesnet/bayesnet-c12-20260321_062527/staged/bayesnet/model_input_manifest.json"
+}

SynthData0523/main/c12/bayesnet/bayesnet-c12-20260321_062527/staged/bayesnet/adapter_transforms_applied.json

@@ -0,0 +1 @@
+[]

SynthData0523/main/c12/bayesnet/bayesnet-c12-20260321_062527/staged/public/test.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:377cdc71dcb1451916e4b052f69dcae90c8648105e3d82016bc74348443e25be
+size 4125897

SynthData0523/main/c12/bayesnet/bayesnet-c12-20260321_062527/staged/public/train.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6c75114f21bd2661465a1c07af94f5249e6d47d50230c60699e74843acb77c74
+size 32713969

SynthData0523/main/c12/bayesnet/bayesnet-c12-20260321_062527/staged/public/val.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9db0022070ad285c003e836f1ec85618f79abd9f38c8801581bbccba183f91eb
+size 4101090

SynthData0523/main/c12/bayesnet/bayesnet-c12-20260321_062527/train_20260321_062544.log

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5d4554955e933810c892db39aa8fb87bce7b60ff9800d30b3697f2ab8c0eab06
+size 333889

SynthData0523/main/c12/ctgan/ctgan-c12-20260321_202808/ctgan-c12-1000-20260321_234220.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1782ae3f25b62c0054b95d68a0539fc275d78ac159a0e7a4527344ead332d43d
+size 12502096

SynthData0523/main/c12/ctgan/ctgan-c12-20260321_202808/ctgan-c12-2623-20260330_065409.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:be6ba50fc1aeb9352d5e7ee6b7dbec25bb0803e87e310e034fb380dfa89c640b
+size 32750655

SynthData0523/main/c12/ctgan/ctgan-c12-20260321_202808/input_snapshot.json

@@ -0,0 +1,36 @@
+{
+  "dataset_id": "c12",
+  "model": "ctgan",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c12/c12-train.csv",
+      "exists": true,
+      "size": 32714405,
+      "sha256": "33bb117347198c71163d5f3264264432732b63d98589da2700f184e3a81f4456"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c12/c12-val.csv",
+      "exists": true,
+      "size": 4101144,
+      "sha256": "378b56871d42f5b6a36b250994ed5784943d07f1e3d5b07ec1e3703bcb712c82"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c12/c12-test.csv",
+      "exists": true,
+      "size": 4125941,
+      "sha256": "f92d9e4c6743fbcff792d530af9fc93e6107201cc0e1fabf4c41efa8b51a609e"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c12/c12-dataset_profile.json",
+      "exists": true,
+      "size": 503575,
+      "sha256": "e655d13d30e13553c67ee13ddee5a9bdf512fbeb7d7b9d213f59d67b44e4d5d9"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c12/c12-dataset_contract_v1.json",
+      "exists": true,
+      "size": 658208,
+      "sha256": "2ec2c7c7dbaf914604b2d22474b10d3d2ec64e0a521b78930c5a87a4e5a4e0fb"
+    }
+  }
+}

SynthData0523/main/c12/ctgan/ctgan-c12-20260321_202808/models_300epochs/ctgan_300epochs.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:858997f57b22dcf5af64b1bccdcf555d2545cf1ca371141e6c1f62b2754a09b2
+size 126596579

SynthData0523/main/c12/ctgan/ctgan-c12-20260321_202808/models_300epochs/train_20260321_202823.log

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f4d763dafe6c36c4a16e3b88a70fde519b993d40319b0668ead973a0f17fe184
+size 620