Resume SynthData0523 main/m1 batch 1

.gitattributes

@@ -6048,3 +6048,163 @@ SynthData0523/main/c9/tvae/tvae-c9-20260321_071540/staged/public/train.csv filte
 SynthData0523/main/c9/tvae/tvae-c9-20260321_071540/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
 SynthData0523/main/c9/tvae/tvae-c9-20260321_071540/tvae-c9-1000-20260321_072347.csv filter=lfs diff=lfs merge=lfs -text
 SynthData0523/main/c9/tvae/tvae-c9-20260321_071540/tvae-c9-26215-20260330_065330.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/arf/arf-m1-20260321_061030/arf-m1-1000-20260321_061113.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/arf/arf-m1-20260321_061030/arf-m1-1200-20260330_065531.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/arf/arf-m1-20260321_061030/arf_model.pkl filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/arf/arf-m1-20260321_061030/gen_20260321_061113.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/arf/arf-m1-20260321_061030/gen_20260330_065531.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/arf/arf-m1-20260321_061030/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/arf/arf-m1-20260321_061030/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/arf/arf-m1-20260321_061030/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/arf/arf-m1-20260321_061030/train_20260321_061031.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/bayesnet/bayesnet-m1-20260321_061005/bayesnet-m1-1000-20260321_061056.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/bayesnet/bayesnet-m1-20260321_061005/bayesnet-m1-1200-20260330_065535.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/bayesnet/bayesnet-m1-20260321_061005/bayesnet_model.pkl filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/bayesnet/bayesnet-m1-20260321_061005/gen_20260321_061056.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/bayesnet/bayesnet-m1-20260321_061005/gen_20260330_065535.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/bayesnet/bayesnet-m1-20260321_061005/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/bayesnet/bayesnet-m1-20260321_061005/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/bayesnet/bayesnet-m1-20260321_061005/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/bayesnet/bayesnet-m1-20260321_061005/train_20260321_061005.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/ctgan/ctgan-m1-20260322_064456/ctgan-m1-1000-20260322_064638.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/ctgan/ctgan-m1-20260322_064456/ctgan-m1-1200-20260330_065514.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/ctgan/ctgan-m1-20260322_064456/models_300epochs/ctgan_300epochs.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/ctgan/ctgan-m1-20260322_064456/models_300epochs/train_20260322_064456.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/ctgan/ctgan-m1-20260322_064456/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/ctgan/ctgan-m1-20260322_064456/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/ctgan/ctgan-m1-20260322_064456/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/forestdiffusion/forest-m1-20260511_124552/_fd_X_host.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/forestdiffusion/forest-m1-20260511_124552/_fd_meta_host.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/forestdiffusion/forest-m1-20260511_124552/forest-m1-1200-20260511_124615.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/forestdiffusion/forest-m1-20260511_124552/forestdiffusion_model.joblib filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/forestdiffusion/forest-m1-20260511_124552/gen_20260511_124615.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/forestdiffusion/forest-m1-20260511_124552/input_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/forestdiffusion/forest-m1-20260511_124552/models_fd/model.joblib filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/forestdiffusion/forest-m1-20260511_124552/public_gate/normalized_schema_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/forestdiffusion/forest-m1-20260511_124552/public_gate/public_gate_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/forestdiffusion/forest-m1-20260511_124552/public_gate/staged_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/forestdiffusion/forest-m1-20260511_124552/run_config.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/forestdiffusion/forest-m1-20260511_124552/runtime_result.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/forestdiffusion/forest-m1-20260511_124552/staged/forestdiffusion/adapter_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/forestdiffusion/forest-m1-20260511_124552/staged/forestdiffusion/adapter_transforms_applied.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/forestdiffusion/forest-m1-20260511_124552/staged/forestdiffusion/model_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/forestdiffusion/forest-m1-20260511_124552/staged/public/staged_features.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/forestdiffusion/forest-m1-20260511_124552/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/forestdiffusion/forest-m1-20260511_124552/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/forestdiffusion/forest-m1-20260511_124552/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/forestdiffusion/forest-m1-20260511_124552/train_20260511_124552.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/realtabformer/rtf-m1-20260321_074318/gen_20260321_080005.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/realtabformer/rtf-m1-20260321_074318/gen_20260422_034442.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/realtabformer/rtf-m1-20260321_074318/models_100epochs/id000017740512015345408000/rtf_model.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/realtabformer/rtf-m1-20260321_074318/rtf-m1-1000-20260321_080005.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/realtabformer/rtf-m1-20260321_074318/rtf-m1-1200-20260422_034442.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/realtabformer/rtf-m1-20260321_074318/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/realtabformer/rtf-m1-20260321_074318/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/realtabformer/rtf-m1-20260321_074318/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/realtabformer/rtf-m1-20260321_074318/train_20260321_074318.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabbyflow/tabbyflow-m1-20260420_092230/input_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabbyflow/tabbyflow-m1-20260420_092230/models_tabbyflow/trained.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabbyflow/tabbyflow-m1-20260420_092230/public_gate/normalized_schema_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabbyflow/tabbyflow-m1-20260420_092230/public_gate/public_gate_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabbyflow/tabbyflow-m1-20260420_092230/public_gate/staged_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabbyflow/tabbyflow-m1-20260420_092230/runtime_result.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabbyflow/tabbyflow-m1-20260420_092230/staged/public/staged_features.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabbyflow/tabbyflow-m1-20260420_092230/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabbyflow/tabbyflow-m1-20260420_092230/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabbyflow/tabbyflow-m1-20260420_092230/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabbyflow/tabbyflow-m1-20260420_092230/staged/tabbyflow/adapter_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabbyflow/tabbyflow-m1-20260420_092230/staged/tabbyflow/adapter_transforms_applied.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabbyflow/tabbyflow-m1-20260420_092230/staged/tabbyflow/model_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabbyflow/tabbyflow-m1-20260420_092230/tabbyflow-m1-1200-20260420_092929.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabbyflow/tabbyflow-m1-20260420_092230/tabbyflow_train_meta.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabbyflow/tabbyflow-m1-20260420_092230/tabular_bundle/pipeline_ds/X_cat_test.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabbyflow/tabbyflow-m1-20260420_092230/tabular_bundle/pipeline_ds/X_cat_train.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabbyflow/tabbyflow-m1-20260420_092230/tabular_bundle/pipeline_ds/X_cat_val.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabbyflow/tabbyflow-m1-20260420_092230/tabular_bundle/pipeline_ds/X_num_test.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabbyflow/tabbyflow-m1-20260420_092230/tabular_bundle/pipeline_ds/X_num_train.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabbyflow/tabbyflow-m1-20260420_092230/tabular_bundle/pipeline_ds/X_num_val.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabbyflow/tabbyflow-m1-20260420_092230/tabular_bundle/pipeline_ds/info.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabbyflow/tabbyflow-m1-20260420_092230/tabular_bundle/pipeline_ds/real.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabbyflow/tabbyflow-m1-20260420_092230/tabular_bundle/pipeline_ds/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabbyflow/tabbyflow-m1-20260420_092230/tabular_bundle/pipeline_ds/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabbyflow/tabbyflow-m1-20260420_092230/tabular_bundle/pipeline_ds/y_test.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabbyflow/tabbyflow-m1-20260420_092230/tabular_bundle/pipeline_ds/y_train.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabbyflow/tabbyflow-m1-20260420_092230/tabular_bundle/pipeline_ds/y_val.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabbyflow/tabbyflow-m1-20260420_092230/train_20260420_092230.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabddpm/tabddpm-m1-20260424_033725/data/X_cat_train.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabddpm/tabddpm-m1-20260424_033725/data/X_num_train.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabddpm/tabddpm-m1-20260424_033725/data/y_train.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabddpm/tabddpm-m1-20260424_033725/gen_20260424_040321.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabddpm/tabddpm-m1-20260424_033725/output/X_cat_train.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabddpm/tabddpm-m1-20260424_033725/output/X_cat_unnorm.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabddpm/tabddpm-m1-20260424_033725/output/X_num_train.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabddpm/tabddpm-m1-20260424_033725/output/X_num_unnorm.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabddpm/tabddpm-m1-20260424_033725/output/loss.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabddpm/tabddpm-m1-20260424_033725/output/model.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabddpm/tabddpm-m1-20260424_033725/output/model_ema.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabddpm/tabddpm-m1-20260424_033725/output/y_train.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabddpm/tabddpm-m1-20260424_033725/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabddpm/tabddpm-m1-20260424_033725/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabddpm/tabddpm-m1-20260424_033725/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabddpm/tabddpm-m1-20260424_033725/tabddpm-m1-1200-20260424_040321.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabddpm/tabddpm-m1-20260424_033725/train_20260424_033725.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabdiff/tabdiff-m1-20260420_091055/input_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabdiff/tabdiff-m1-20260420_091055/models_tabdiff/trained.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabdiff/tabdiff-m1-20260420_091055/public_gate/normalized_schema_snapshot.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabdiff/tabdiff-m1-20260420_091055/public_gate/public_gate_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabdiff/tabdiff-m1-20260420_091055/public_gate/staged_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabdiff/tabdiff-m1-20260420_091055/runtime_result.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabdiff/tabdiff-m1-20260420_091055/staged/public/staged_features.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabdiff/tabdiff-m1-20260420_091055/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabdiff/tabdiff-m1-20260420_091055/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabdiff/tabdiff-m1-20260420_091055/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabdiff/tabdiff-m1-20260420_091055/staged/tabdiff/adapter_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabdiff/tabdiff-m1-20260420_091055/staged/tabdiff/adapter_transforms_applied.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabdiff/tabdiff-m1-20260420_091055/staged/tabdiff/model_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabdiff/tabdiff-m1-20260420_091055/tabdiff-m1-1200-20260420_092135.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabdiff/tabdiff-m1-20260420_091055/tabdiff_train_meta.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabdiff/tabdiff-m1-20260420_091055/tabular_bundle/pipeline_ds/X_cat_test.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabdiff/tabdiff-m1-20260420_091055/tabular_bundle/pipeline_ds/X_cat_train.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabdiff/tabdiff-m1-20260420_091055/tabular_bundle/pipeline_ds/X_cat_val.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabdiff/tabdiff-m1-20260420_091055/tabular_bundle/pipeline_ds/X_num_test.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabdiff/tabdiff-m1-20260420_091055/tabular_bundle/pipeline_ds/X_num_train.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabdiff/tabdiff-m1-20260420_091055/tabular_bundle/pipeline_ds/X_num_val.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabdiff/tabdiff-m1-20260420_091055/tabular_bundle/pipeline_ds/info.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabdiff/tabdiff-m1-20260420_091055/tabular_bundle/pipeline_ds/real.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabdiff/tabdiff-m1-20260420_091055/tabular_bundle/pipeline_ds/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabdiff/tabdiff-m1-20260420_091055/tabular_bundle/pipeline_ds/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabdiff/tabdiff-m1-20260420_091055/tabular_bundle/pipeline_ds/y_test.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabdiff/tabdiff-m1-20260420_091055/tabular_bundle/pipeline_ds/y_train.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabdiff/tabdiff-m1-20260420_091055/tabular_bundle/pipeline_ds/y_val.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabdiff/tabdiff-m1-20260420_091055/train_20260420_091055.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabpfgen/m1-migrated-20260422_183752/gen_20260422_070320.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabpfgen/m1-migrated-20260422_183752/runner.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabpfgen/m1-migrated-20260422_183752/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabpfgen/m1-migrated-20260422_183752/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabpfgen/m1-migrated-20260422_183752/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabpfgen/m1-migrated-20260422_183752/tabpfgen-m1-1200-20260422_070320.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabsyn/tabsyn-m1-20260421_023648/data/tabsyn_m1/X_cat_test.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabsyn/tabsyn-m1-20260421_023648/data/tabsyn_m1/X_cat_train.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabsyn/tabsyn-m1-20260421_023648/data/tabsyn_m1/X_num_test.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabsyn/tabsyn-m1-20260421_023648/data/tabsyn_m1/X_num_train.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabsyn/tabsyn-m1-20260421_023648/data/tabsyn_m1/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabsyn/tabsyn-m1-20260421_023648/data/tabsyn_m1/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabsyn/tabsyn-m1-20260421_023648/data/tabsyn_m1/y_test.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabsyn/tabsyn-m1-20260421_023648/data/tabsyn_m1/y_train.npy filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabsyn/tabsyn-m1-20260421_023648/gen_20260421_033053.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabsyn/tabsyn-m1-20260421_023648/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabsyn/tabsyn-m1-20260421_023648/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabsyn/tabsyn-m1-20260421_023648/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabsyn/tabsyn-m1-20260421_023648/synthetic/tabsyn_m1/real.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabsyn/tabsyn-m1-20260421_023648/synthetic/tabsyn_m1/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabsyn/tabsyn-m1-20260421_023648/tabsyn-m1-1200-20260421_033053.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tabsyn/tabsyn-m1-20260421_023648/train_20260421_023649.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tvae/tvae-m1-20260322_205529/gen_20260322_205639.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tvae/tvae-m1-20260322_205529/gen_20260330_065521.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tvae/tvae-m1-20260322_205529/models_300epochs/train_20260322_205529.log filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tvae/tvae-m1-20260322_205529/models_300epochs/tvae_300epochs.pt filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tvae/tvae-m1-20260322_205529/staged/public/test.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tvae/tvae-m1-20260322_205529/staged/public/train.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tvae/tvae-m1-20260322_205529/staged/public/val.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tvae/tvae-m1-20260322_205529/tvae-m1-1000-20260322_205639.csv filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/m1/tvae/tvae-m1-20260322_205529/tvae-m1-1200-20260330_065521.csv filter=lfs diff=lfs merge=lfs -text

SynthData0523/main/m1/arf/arf-m1-20260321_061030/_arf_generate.py

@@ -0,0 +1,6 @@
+import pickle
+with open("/work/output-SpecializedModels/m1/arf/arf-m1-20260321_061030/arf_model.pkl", "rb") as f:
+    model = pickle.load(f)
+syn = model.forge(n=1200)
+syn.to_csv("/work/output-SpecializedModels/m1/arf/arf-m1-20260321_061030/arf-m1-1200-20260330_065531.csv", index=False)
+print(f"[ARF] Generated 1200 rows -> /work/output-SpecializedModels/m1/arf/arf-m1-20260321_061030/arf-m1-1200-20260330_065531.csv")

SynthData0523/main/m1/arf/arf-m1-20260321_061030/_arf_train.py

@@ -0,0 +1,19 @@
+import pickle
+import pandas as pd
+from arfpy import arf
+
+df = pd.read_csv("/work/output-SpecializedModels/m1/arf/arf-m1-20260321_061030/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/m1/arf/arf-m1-20260321_061030/arf_model.pkl", "wb") as f:
+    pickle.dump(model, f)
+print(f"[ARF] Model saved -> /work/output-SpecializedModels/m1/arf/arf-m1-20260321_061030/arf_model.pkl")

SynthData0523/main/m1/arf/arf-m1-20260321_061030/arf-m1-1000-20260321_061113.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:14f41f6aa9226c635c54d5f430ac435ed5a56aabb9530fd6cf7d3b1251f7623e
+size 403308

SynthData0523/main/m1/arf/arf-m1-20260321_061030/arf-m1-1200-20260330_065531.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c5e0629ccefff9497bf806f956e362763f61e17b1eb2409362d126c19a66bfd0
+size 404632

SynthData0523/main/m1/arf/arf-m1-20260321_061030/arf_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ca6e2cc43b319957e5557d5fa86199ed735df4edbc15f6e8e11e1eacf56b4b82
+size 17780166

SynthData0523/main/m1/arf/arf-m1-20260321_061030/gen_20260321_061113.log

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a140c5aa515341f7fb3779b80f9241caac02f2988662df92e9ec975bcc404a56
+size 5178

SynthData0523/main/m1/arf/arf-m1-20260321_061030/gen_20260330_065531.log

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7c783bc7dda5614addc74ea1ef7e79367cdae633d3a3d136348784398485ee35
+size 5178

SynthData0523/main/m1/arf/arf-m1-20260321_061030/input_snapshot.json

@@ -0,0 +1,36 @@
+{
+  "dataset_id": "m1",
+  "model": "arf",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m1/m1-train.csv",
+      "exists": true,
+      "size": 247736,
+      "sha256": "28658fdcbade81b9228e4ee5f9e62cadcf890698f730afc2be402c32a71e151b"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m1/m1-val.csv",
+      "exists": true,
+      "size": 31474,
+      "sha256": "456422d2c2f69adfe81c81e2e6be1bf6fee895a582b8b63462ff234f90872927"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m1/m1-test.csv",
+      "exists": true,
+      "size": 31470,
+      "sha256": "e0c692b62a23156b1c7d1895a979efb671de3e8a79399169602adeafb5733764"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m1/m1-dataset_profile.json",
+      "exists": true,
+      "size": 12335,
+      "sha256": "bec761b39442c197addda4f50857b05419b1209fd5da1163d5a5ec10f0a79c62"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m1/m1-dataset_contract_v1.json",
+      "exists": true,
+      "size": 14869,
+      "sha256": "5dd17025fe3446132776c80de35ceea1682db199b4e0c374bbb9b622c76a6180"
+    }
+  }
+}

SynthData0523/main/m1/arf/arf-m1-20260321_061030/public_gate/normalized_schema_snapshot.json

@@ -0,0 +1,625 @@
+{
+  "dataset_id": "m1",
+  "target_column": "Response_Quality",
+  "task_type": "classification",
+  "columns": [
+    {
+      "name": "Employee_ID",
+      "role": "id",
+      "semantic_type": "id",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 1200,
+        "unique_ratio": 1.0,
+        "example_values": [
+          "EMP1304",
+          "EMP0398",
+          "EMP0387",
+          "EMP0550",
+          "EMP0598"
+        ]
+      }
+    },
+    {
+      "name": "Age",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 39,
+        "unique_ratio": 0.0325,
+        "example_values": [
+          "28",
+          "47",
+          "38",
+          "29",
+          "26"
+        ]
+      }
+    },
+    {
+      "name": "Years_Experience",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 29,
+        "unique_ratio": 0.024167,
+        "example_values": [
+          "3",
+          "7",
+          "11",
+          "4",
+          "2"
+        ]
+      }
+    },
+    {
+      "name": "WFH_Days_Per_Week",
+      "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": 0.005,
+        "example_values": [
+          "5",
+          "4",
+          "2",
+          "3",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "Gender",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.0025,
+        "example_values": [
+          "Female",
+          "Male",
+          "Non-binary"
+        ]
+      }
+    },
+    {
+      "name": "Education_Level",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 6,
+        "unique_ratio": 0.005,
+        "example_values": [
+          "Bachelor Degree",
+          "Master Degree",
+          "PhD",
+          "Associate Degree",
+          "Professional Degree"
+        ]
+      }
+    },
+    {
+      "name": "Marital_Status",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.003333,
+        "example_values": [
+          "Married",
+          "Single",
+          "Divorced",
+          "In Relationship"
+        ]
+      }
+    },
+    {
+      "name": "Has_Children",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.001667,
+        "example_values": [
+          "Yes",
+          "No"
+        ]
+      }
+    },
+    {
+      "name": "Location_Type",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.0025,
+        "example_values": [
+          "Urban",
+          "Suburban",
+          "Rural"
+        ]
+      }
+    },
+    {
+      "name": "Department",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 0.008333,
+        "example_values": [
+          "Engineering",
+          "Sales",
+          "Finance",
+          "Marketing",
+          "Operations"
+        ]
+      }
+    },
+    {
+      "name": "Job_Level",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 6,
+        "unique_ratio": 0.005,
+        "example_values": [
+          "Senior",
+          "Mid-Level",
+          "Lead",
+          "Junior",
+          "Manager"
+        ]
+      }
+    },
+    {
+      "name": "Company_Size",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.004167,
+        "example_values": [
+          "Large (1001-5000)",
+          "Enterprise (5000+)",
+          "Startup (1-50)",
+          "Medium (201-1000)",
+          "Small (51-200)"
+        ]
+      }
+    },
+    {
+      "name": "Industry",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 0.008333,
+        "example_values": [
+          "Healthcare",
+          "Non-profit",
+          "Manufacturing",
+          "Technology",
+          "Consulting"
+        ]
+      }
+    },
+    {
+      "name": "Home_Office_Quality",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.003333,
+        "example_values": [
+          "Average",
+          "Excellent",
+          "Good",
+          "Poor"
+        ]
+      }
+    },
+    {
+      "name": "Internet_Speed_Category",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.003333,
+        "example_values": [
+          "Very Fast (100+ Mbps)",
+          "Fast (50-100 Mbps)",
+          "Moderate (25-50 Mbps)",
+          "Slow (<25 Mbps)"
+        ]
+      }
+    },
+    {
+      "name": "Work_Hours_Per_Week",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 36,
+        "unique_ratio": 0.03,
+        "example_values": [
+          "51",
+          "40",
+          "39",
+          "38",
+          "49"
+        ]
+      }
+    },
+    {
+      "name": "Manager_Support_Level",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.004167,
+        "example_values": [
+          "High",
+          "Moderate",
+          "Very High",
+          "Low",
+          "Very Low"
+        ]
+      }
+    },
+    {
+      "name": "Team_Collaboration_Frequency",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.004167,
+        "example_values": [
+          "Few times per week",
+          "Monthly",
+          "Bi-weekly",
+          "Daily",
+          "Weekly"
+        ]
+      }
+    },
+    {
+      "name": "Productivity_Score",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 403,
+        "unique_ratio": 0.335833,
+        "example_values": [
+          "98.0",
+          "95.5",
+          "94.7",
+          "70.4",
+          "78.6"
+        ]
+      }
+    },
+    {
+      "name": "Task_Completion_Rate",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 439,
+        "unique_ratio": 0.365833,
+        "example_values": [
+          "92.7",
+          "100.0",
+          "99.4",
+          "88.3",
+          "88.4"
+        ]
+      }
+    },
+    {
+      "name": "Quality_Score",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 394,
+        "unique_ratio": 0.328333,
+        "example_values": [
+          "88.7",
+          "84.4",
+          "98.9",
+          "96.1",
+          "75.5"
+        ]
+      }
+    },
+    {
+      "name": "Innovation_Score",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 462,
+        "unique_ratio": 0.385,
+        "example_values": [
+          "87.8",
+          "83.9",
+          "80.3",
+          "93.0",
+          "62.1"
+        ]
+      }
+    },
+    {
+      "name": "Efficiency_Rating",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 228,
+        "unique_ratio": 0.19,
+        "example_values": [
+          "95.0",
+          "78.2",
+          "93.7",
+          "79.9",
+          "63.4"
+        ]
+      }
+    },
+    {
+      "name": "Meetings_Per_Week",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 19,
+        "unique_ratio": 0.015833,
+        "example_values": [
+          "11",
+          "10",
+          "7",
+          "8",
+          "6"
+        ]
+      }
+    },
+    {
+      "name": "Commute_Time_Minutes",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 85,
+        "unique_ratio": 0.070833,
+        "example_values": [
+          "0",
+          "18",
+          "39",
+          "25",
+          "44"
+        ]
+      }
+    },
+    {
+      "name": "Job_Satisfaction",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 215,
+        "unique_ratio": 0.179167,
+        "example_values": [
+          "100.0",
+          "91.1",
+          "81.4",
+          "77.0",
+          "98.6"
+        ]
+      }
+    },
+    {
+      "name": "Stress_Level",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 0.008333,
+        "example_values": [
+          "8",
+          "4",
+          "10",
+          "6",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "Work_Life_Balance",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 0.008333,
+        "example_values": [
+          "9",
+          "5",
+          "4",
+          "2",
+          "8"
+        ]
+      }
+    },
+    {
+      "name": "Survey_Date",
+      "role": "feature",
+      "semantic_type": "datetime",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": "%Y-%m-%d",
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 122,
+        "unique_ratio": 0.101667,
+        "example_values": [
+          "2024-02-04",
+          "2024-02-05",
+          "2024-05-02",
+          "2024-03-09",
+          "2024-01-28"
+        ]
+      }
+    },
+    {
+      "name": "Response_Quality",
+      "role": "target",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.0025,
+        "example_values": [
+          "High",
+          "Medium",
+          "Low"
+        ]
+      }
+    }
+  ]
+}

SynthData0523/main/m1/arf/arf-m1-20260321_061030/public_gate/public_gate_report.json

@@ -0,0 +1,37 @@
+{
+  "dataset_id": "m1",
+  "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": "Response_Quality",
+  "task_type": "classification",
+  "input_splits": {
+    "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m1/m1-train.csv",
+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m1/m1-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m1/m1-test.csv"
+  }
+}

SynthData0523/main/m1/arf/arf-m1-20260321_061030/public_gate/staged_input_manifest.json

@@ -0,0 +1,630 @@
+{
+  "dataset_id": "m1",
+  "target_column": "Response_Quality",
+  "task_type": "classification",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/m1/arf/arf-m1-20260321_061030/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/m1/arf/arf-m1-20260321_061030/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/m1/arf/arf-m1-20260321_061030/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/m1/arf/arf-m1-20260321_061030/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/m1/arf/arf-m1-20260321_061030/public_gate/public_gate_report.json",
+  "column_schema": [
+    {
+      "name": "Employee_ID",
+      "role": "id",
+      "semantic_type": "id",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 1200,
+        "unique_ratio": 1.0,
+        "example_values": [
+          "EMP1304",
+          "EMP0398",
+          "EMP0387",
+          "EMP0550",
+          "EMP0598"
+        ]
+      }
+    },
+    {
+      "name": "Age",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 39,
+        "unique_ratio": 0.0325,
+        "example_values": [
+          "28",
+          "47",
+          "38",
+          "29",
+          "26"
+        ]
+      }
+    },
+    {
+      "name": "Years_Experience",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 29,
+        "unique_ratio": 0.024167,
+        "example_values": [
+          "3",
+          "7",
+          "11",
+          "4",
+          "2"
+        ]
+      }
+    },
+    {
+      "name": "WFH_Days_Per_Week",
+      "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": 0.005,
+        "example_values": [
+          "5",
+          "4",
+          "2",
+          "3",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "Gender",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.0025,
+        "example_values": [
+          "Female",
+          "Male",
+          "Non-binary"
+        ]
+      }
+    },
+    {
+      "name": "Education_Level",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 6,
+        "unique_ratio": 0.005,
+        "example_values": [
+          "Bachelor Degree",
+          "Master Degree",
+          "PhD",
+          "Associate Degree",
+          "Professional Degree"
+        ]
+      }
+    },
+    {
+      "name": "Marital_Status",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.003333,
+        "example_values": [
+          "Married",
+          "Single",
+          "Divorced",
+          "In Relationship"
+        ]
+      }
+    },
+    {
+      "name": "Has_Children",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.001667,
+        "example_values": [
+          "Yes",
+          "No"
+        ]
+      }
+    },
+    {
+      "name": "Location_Type",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.0025,
+        "example_values": [
+          "Urban",
+          "Suburban",
+          "Rural"
+        ]
+      }
+    },
+    {
+      "name": "Department",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 0.008333,
+        "example_values": [
+          "Engineering",
+          "Sales",
+          "Finance",
+          "Marketing",
+          "Operations"
+        ]
+      }
+    },
+    {
+      "name": "Job_Level",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 6,
+        "unique_ratio": 0.005,
+        "example_values": [
+          "Senior",
+          "Mid-Level",
+          "Lead",
+          "Junior",
+          "Manager"
+        ]
+      }
+    },
+    {
+      "name": "Company_Size",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.004167,
+        "example_values": [
+          "Large (1001-5000)",
+          "Enterprise (5000+)",
+          "Startup (1-50)",
+          "Medium (201-1000)",
+          "Small (51-200)"
+        ]
+      }
+    },
+    {
+      "name": "Industry",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 0.008333,
+        "example_values": [
+          "Healthcare",
+          "Non-profit",
+          "Manufacturing",
+          "Technology",
+          "Consulting"
+        ]
+      }
+    },
+    {
+      "name": "Home_Office_Quality",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.003333,
+        "example_values": [
+          "Average",
+          "Excellent",
+          "Good",
+          "Poor"
+        ]
+      }
+    },
+    {
+      "name": "Internet_Speed_Category",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.003333,
+        "example_values": [
+          "Very Fast (100+ Mbps)",
+          "Fast (50-100 Mbps)",
+          "Moderate (25-50 Mbps)",
+          "Slow (<25 Mbps)"
+        ]
+      }
+    },
+    {
+      "name": "Work_Hours_Per_Week",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 36,
+        "unique_ratio": 0.03,
+        "example_values": [
+          "51",
+          "40",
+          "39",
+          "38",
+          "49"
+        ]
+      }
+    },
+    {
+      "name": "Manager_Support_Level",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.004167,
+        "example_values": [
+          "High",
+          "Moderate",
+          "Very High",
+          "Low",
+          "Very Low"
+        ]
+      }
+    },
+    {
+      "name": "Team_Collaboration_Frequency",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.004167,
+        "example_values": [
+          "Few times per week",
+          "Monthly",
+          "Bi-weekly",
+          "Daily",
+          "Weekly"
+        ]
+      }
+    },
+    {
+      "name": "Productivity_Score",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 403,
+        "unique_ratio": 0.335833,
+        "example_values": [
+          "98.0",
+          "95.5",
+          "94.7",
+          "70.4",
+          "78.6"
+        ]
+      }
+    },
+    {
+      "name": "Task_Completion_Rate",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 439,
+        "unique_ratio": 0.365833,
+        "example_values": [
+          "92.7",
+          "100.0",
+          "99.4",
+          "88.3",
+          "88.4"
+        ]
+      }
+    },
+    {
+      "name": "Quality_Score",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 394,
+        "unique_ratio": 0.328333,
+        "example_values": [
+          "88.7",
+          "84.4",
+          "98.9",
+          "96.1",
+          "75.5"
+        ]
+      }
+    },
+    {
+      "name": "Innovation_Score",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 462,
+        "unique_ratio": 0.385,
+        "example_values": [
+          "87.8",
+          "83.9",
+          "80.3",
+          "93.0",
+          "62.1"
+        ]
+      }
+    },
+    {
+      "name": "Efficiency_Rating",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 228,
+        "unique_ratio": 0.19,
+        "example_values": [
+          "95.0",
+          "78.2",
+          "93.7",
+          "79.9",
+          "63.4"
+        ]
+      }
+    },
+    {
+      "name": "Meetings_Per_Week",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 19,
+        "unique_ratio": 0.015833,
+        "example_values": [
+          "11",
+          "10",
+          "7",
+          "8",
+          "6"
+        ]
+      }
+    },
+    {
+      "name": "Commute_Time_Minutes",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 85,
+        "unique_ratio": 0.070833,
+        "example_values": [
+          "0",
+          "18",
+          "39",
+          "25",
+          "44"
+        ]
+      }
+    },
+    {
+      "name": "Job_Satisfaction",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 215,
+        "unique_ratio": 0.179167,
+        "example_values": [
+          "100.0",
+          "91.1",
+          "81.4",
+          "77.0",
+          "98.6"
+        ]
+      }
+    },
+    {
+      "name": "Stress_Level",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 0.008333,
+        "example_values": [
+          "8",
+          "4",
+          "10",
+          "6",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "Work_Life_Balance",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 0.008333,
+        "example_values": [
+          "9",
+          "5",
+          "4",
+          "2",
+          "8"
+        ]
+      }
+    },
+    {
+      "name": "Survey_Date",
+      "role": "feature",
+      "semantic_type": "datetime",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": "%Y-%m-%d",
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 122,
+        "unique_ratio": 0.101667,
+        "example_values": [
+          "2024-02-04",
+          "2024-02-05",
+          "2024-05-02",
+          "2024-03-09",
+          "2024-01-28"
+        ]
+      }
+    },
+    {
+      "name": "Response_Quality",
+      "role": "target",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.0025,
+        "example_values": [
+          "High",
+          "Medium",
+          "Low"
+        ]
+      }
+    }
+  ]
+}

SynthData0523/main/m1/arf/arf-m1-20260321_061030/runtime_result.json

@@ -0,0 +1,14 @@
+{
+  "dataset_id": "m1",
+  "model": "arf",
+  "run_id": "arf-m1-20260321_061030",
+  "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/m1/arf/arf-m1-20260321_061030/arf-m1-1200-20260330_065531.csv"
+  }
+}

SynthData0523/main/m1/arf/arf-m1-20260321_061030/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/m1/arf/arf-m1-20260321_061030/staged/arf/model_input_manifest.json"
+}

SynthData0523/main/m1/arf/arf-m1-20260321_061030/staged/arf/adapter_transforms_applied.json

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

SynthData0523/main/m1/arf/arf-m1-20260321_061030/staged/arf/model_input_manifest.json

@@ -0,0 +1,632 @@
+{
+  "dataset_id": "m1",
+  "model": "arf",
+  "target_column": "Response_Quality",
+  "task_type": "classification",
+  "column_schema": [
+    {
+      "name": "Employee_ID",
+      "role": "id",
+      "semantic_type": "id",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 1200,
+        "unique_ratio": 1.0,
+        "example_values": [
+          "EMP1304",
+          "EMP0398",
+          "EMP0387",
+          "EMP0550",
+          "EMP0598"
+        ]
+      }
+    },
+    {
+      "name": "Age",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 39,
+        "unique_ratio": 0.0325,
+        "example_values": [
+          "28",
+          "47",
+          "38",
+          "29",
+          "26"
+        ]
+      }
+    },
+    {
+      "name": "Years_Experience",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 29,
+        "unique_ratio": 0.024167,
+        "example_values": [
+          "3",
+          "7",
+          "11",
+          "4",
+          "2"
+        ]
+      }
+    },
+    {
+      "name": "WFH_Days_Per_Week",
+      "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": 0.005,
+        "example_values": [
+          "5",
+          "4",
+          "2",
+          "3",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "Gender",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.0025,
+        "example_values": [
+          "Female",
+          "Male",
+          "Non-binary"
+        ]
+      }
+    },
+    {
+      "name": "Education_Level",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 6,
+        "unique_ratio": 0.005,
+        "example_values": [
+          "Bachelor Degree",
+          "Master Degree",
+          "PhD",
+          "Associate Degree",
+          "Professional Degree"
+        ]
+      }
+    },
+    {
+      "name": "Marital_Status",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.003333,
+        "example_values": [
+          "Married",
+          "Single",
+          "Divorced",
+          "In Relationship"
+        ]
+      }
+    },
+    {
+      "name": "Has_Children",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.001667,
+        "example_values": [
+          "Yes",
+          "No"
+        ]
+      }
+    },
+    {
+      "name": "Location_Type",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.0025,
+        "example_values": [
+          "Urban",
+          "Suburban",
+          "Rural"
+        ]
+      }
+    },
+    {
+      "name": "Department",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 0.008333,
+        "example_values": [
+          "Engineering",
+          "Sales",
+          "Finance",
+          "Marketing",
+          "Operations"
+        ]
+      }
+    },
+    {
+      "name": "Job_Level",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 6,
+        "unique_ratio": 0.005,
+        "example_values": [
+          "Senior",
+          "Mid-Level",
+          "Lead",
+          "Junior",
+          "Manager"
+        ]
+      }
+    },
+    {
+      "name": "Company_Size",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.004167,
+        "example_values": [
+          "Large (1001-5000)",
+          "Enterprise (5000+)",
+          "Startup (1-50)",
+          "Medium (201-1000)",
+          "Small (51-200)"
+        ]
+      }
+    },
+    {
+      "name": "Industry",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 0.008333,
+        "example_values": [
+          "Healthcare",
+          "Non-profit",
+          "Manufacturing",
+          "Technology",
+          "Consulting"
+        ]
+      }
+    },
+    {
+      "name": "Home_Office_Quality",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.003333,
+        "example_values": [
+          "Average",
+          "Excellent",
+          "Good",
+          "Poor"
+        ]
+      }
+    },
+    {
+      "name": "Internet_Speed_Category",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.003333,
+        "example_values": [
+          "Very Fast (100+ Mbps)",
+          "Fast (50-100 Mbps)",
+          "Moderate (25-50 Mbps)",
+          "Slow (<25 Mbps)"
+        ]
+      }
+    },
+    {
+      "name": "Work_Hours_Per_Week",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 36,
+        "unique_ratio": 0.03,
+        "example_values": [
+          "51",
+          "40",
+          "39",
+          "38",
+          "49"
+        ]
+      }
+    },
+    {
+      "name": "Manager_Support_Level",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.004167,
+        "example_values": [
+          "High",
+          "Moderate",
+          "Very High",
+          "Low",
+          "Very Low"
+        ]
+      }
+    },
+    {
+      "name": "Team_Collaboration_Frequency",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.004167,
+        "example_values": [
+          "Few times per week",
+          "Monthly",
+          "Bi-weekly",
+          "Daily",
+          "Weekly"
+        ]
+      }
+    },
+    {
+      "name": "Productivity_Score",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 403,
+        "unique_ratio": 0.335833,
+        "example_values": [
+          "98.0",
+          "95.5",
+          "94.7",
+          "70.4",
+          "78.6"
+        ]
+      }
+    },
+    {
+      "name": "Task_Completion_Rate",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 439,
+        "unique_ratio": 0.365833,
+        "example_values": [
+          "92.7",
+          "100.0",
+          "99.4",
+          "88.3",
+          "88.4"
+        ]
+      }
+    },
+    {
+      "name": "Quality_Score",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 394,
+        "unique_ratio": 0.328333,
+        "example_values": [
+          "88.7",
+          "84.4",
+          "98.9",
+          "96.1",
+          "75.5"
+        ]
+      }
+    },
+    {
+      "name": "Innovation_Score",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 462,
+        "unique_ratio": 0.385,
+        "example_values": [
+          "87.8",
+          "83.9",
+          "80.3",
+          "93.0",
+          "62.1"
+        ]
+      }
+    },
+    {
+      "name": "Efficiency_Rating",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 228,
+        "unique_ratio": 0.19,
+        "example_values": [
+          "95.0",
+          "78.2",
+          "93.7",
+          "79.9",
+          "63.4"
+        ]
+      }
+    },
+    {
+      "name": "Meetings_Per_Week",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 19,
+        "unique_ratio": 0.015833,
+        "example_values": [
+          "11",
+          "10",
+          "7",
+          "8",
+          "6"
+        ]
+      }
+    },
+    {
+      "name": "Commute_Time_Minutes",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 85,
+        "unique_ratio": 0.070833,
+        "example_values": [
+          "0",
+          "18",
+          "39",
+          "25",
+          "44"
+        ]
+      }
+    },
+    {
+      "name": "Job_Satisfaction",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 215,
+        "unique_ratio": 0.179167,
+        "example_values": [
+          "100.0",
+          "91.1",
+          "81.4",
+          "77.0",
+          "98.6"
+        ]
+      }
+    },
+    {
+      "name": "Stress_Level",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 0.008333,
+        "example_values": [
+          "8",
+          "4",
+          "10",
+          "6",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "Work_Life_Balance",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 0.008333,
+        "example_values": [
+          "9",
+          "5",
+          "4",
+          "2",
+          "8"
+        ]
+      }
+    },
+    {
+      "name": "Survey_Date",
+      "role": "feature",
+      "semantic_type": "datetime",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": "%Y-%m-%d",
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 122,
+        "unique_ratio": 0.101667,
+        "example_values": [
+          "2024-02-04",
+          "2024-02-05",
+          "2024-05-02",
+          "2024-03-09",
+          "2024-01-28"
+        ]
+      }
+    },
+    {
+      "name": "Response_Quality",
+      "role": "target",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.0025,
+        "example_values": [
+          "High",
+          "Medium",
+          "Low"
+        ]
+      }
+    }
+  ],
+  "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/m1/arf/arf-m1-20260321_061030/public_gate/staged_input_manifest.json",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/m1/arf/arf-m1-20260321_061030/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/m1/arf/arf-m1-20260321_061030/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/m1/arf/arf-m1-20260321_061030/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/m1/arf/arf-m1-20260321_061030/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/m1/arf/arf-m1-20260321_061030/public_gate/public_gate_report.json"
+}

SynthData0523/main/m1/arf/arf-m1-20260321_061030/staged/public/staged_features.json

@@ -0,0 +1,152 @@
+[
+  {
+    "feature_name": "Employee_ID",
+    "data_type": "ID",
+    "is_target": false
+  },
+  {
+    "feature_name": "Age",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Years_Experience",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "WFH_Days_Per_Week",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Gender",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "Education_Level",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "Marital_Status",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "Has_Children",
+    "data_type": "binary",
+    "is_target": false
+  },
+  {
+    "feature_name": "Location_Type",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "Department",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "Job_Level",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "Company_Size",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "Industry",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "Home_Office_Quality",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "Internet_Speed_Category",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "Work_Hours_Per_Week",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Manager_Support_Level",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "Team_Collaboration_Frequency",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "Productivity_Score",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Task_Completion_Rate",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Quality_Score",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Innovation_Score",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Efficiency_Rating",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Meetings_Per_Week",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Commute_Time_Minutes",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Job_Satisfaction",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Stress_Level",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Work_Life_Balance",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Survey_Date",
+    "data_type": "timestamp",
+    "is_target": false
+  },
+  {
+    "feature_name": "Response_Quality",
+    "data_type": "categorical",
+    "is_target": true
+  }
+]

SynthData0523/main/m1/arf/arf-m1-20260321_061030/staged/public/test.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6b10fb23dd851cc8e9512cc2f6c6cf8a7d55a9e129e0ea3fcfdf74a1d9c4ae4e
+size 31319

SynthData0523/main/m1/arf/arf-m1-20260321_061030/staged/public/train.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e9c852dcaca7e39ee66137ba8b9d16cff5ac3db8773ada638088281140b801f
+size 246535

SynthData0523/main/m1/arf/arf-m1-20260321_061030/staged/public/val.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:74e1ec553c236519ce940f48b25c8f9b87aca28e5746f70de8e292fcae7b3dfb
+size 31323

SynthData0523/main/m1/arf/arf-m1-20260321_061030/train_20260321_061031.log

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:43e979186eaca28049eb60034cadd1d6bf922cde915575b8550844d5baf07ffa
+size 232

SynthData0523/main/m1/bayesnet/bayesnet-m1-20260321_061005/_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/m1/bayesnet/bayesnet-m1-20260321_061005/bayesnet_model.pkl", "rb") as f:
+    plugin = pickle.load(f)
+syn = plugin.generate(count=1200).dataframe()
+
+# Restore zero-variance columns that were dropped during training
+const_path = "/work/output-SpecializedModels/m1/bayesnet/bayesnet-m1-20260321_061005/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/m1/bayesnet/bayesnet-m1-20260321_061005/bayesnet-m1-1200-20260330_065535.csv", index=False)
+print(f"[BayesNet] Generated 1200 rows -> /work/output-SpecializedModels/m1/bayesnet/bayesnet-m1-20260321_061005/bayesnet-m1-1200-20260330_065535.csv")

SynthData0523/main/m1/bayesnet/bayesnet-m1-20260321_061005/_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/m1/bayesnet/bayesnet-m1-20260321_061005/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/m1/bayesnet/bayesnet-m1-20260321_061005/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/m1/bayesnet/bayesnet-m1-20260321_061005/bayesnet_model.pkl", "wb") as f:
+    pickle.dump(plugin, f)
+print(f"[BayesNet] Model saved -> /work/output-SpecializedModels/m1/bayesnet/bayesnet-m1-20260321_061005/bayesnet_model.pkl")

SynthData0523/main/m1/bayesnet/bayesnet-m1-20260321_061005/bayesnet-m1-1000-20260321_061056.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:93b72f1057e13089d2faecc674dab9586cd974c6868a85463d48710bbc3df836
+size 268585

SynthData0523/main/m1/bayesnet/bayesnet-m1-20260321_061005/bayesnet-m1-1200-20260330_065535.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7a9023c3824ea3a2661c81fdb8cfb4c6d19ef8090c0bb964df5b95c167b28aa3
+size 321797

SynthData0523/main/m1/bayesnet/bayesnet-m1-20260321_061005/bayesnet_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a342609bf33eae4be0cbcfa564f1655ffafd4eee5176cf7d86aacf792027375b
+size 50847715

SynthData0523/main/m1/bayesnet/bayesnet-m1-20260321_061005/const_cols.json

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

SynthData0523/main/m1/bayesnet/bayesnet-m1-20260321_061005/gen_20260321_061056.log

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e091a4611921d7fd1bce8646734d6dcd4df2c80ec912bed8af3685f1e78b9e50
+size 232

SynthData0523/main/m1/bayesnet/bayesnet-m1-20260321_061005/gen_20260330_065535.log

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3dfce37b6b52a76b52f8b76475398dd270870c628cf577d032ec7d326b0d9b53
+size 232

SynthData0523/main/m1/bayesnet/bayesnet-m1-20260321_061005/input_snapshot.json

@@ -0,0 +1,36 @@
+{
+  "dataset_id": "m1",
+  "model": "bayesnet",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m1/m1-train.csv",
+      "exists": true,
+      "size": 247736,
+      "sha256": "28658fdcbade81b9228e4ee5f9e62cadcf890698f730afc2be402c32a71e151b"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m1/m1-val.csv",
+      "exists": true,
+      "size": 31474,
+      "sha256": "456422d2c2f69adfe81c81e2e6be1bf6fee895a582b8b63462ff234f90872927"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m1/m1-test.csv",
+      "exists": true,
+      "size": 31470,
+      "sha256": "e0c692b62a23156b1c7d1895a979efb671de3e8a79399169602adeafb5733764"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m1/m1-dataset_profile.json",
+      "exists": true,
+      "size": 12335,
+      "sha256": "bec761b39442c197addda4f50857b05419b1209fd5da1163d5a5ec10f0a79c62"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m1/m1-dataset_contract_v1.json",
+      "exists": true,
+      "size": 14869,
+      "sha256": "5dd17025fe3446132776c80de35ceea1682db199b4e0c374bbb9b622c76a6180"
+    }
+  }
+}

SynthData0523/main/m1/bayesnet/bayesnet-m1-20260321_061005/public_gate/normalized_schema_snapshot.json

@@ -0,0 +1,625 @@
+{
+  "dataset_id": "m1",
+  "target_column": "Response_Quality",
+  "task_type": "classification",
+  "columns": [
+    {
+      "name": "Employee_ID",
+      "role": "id",
+      "semantic_type": "id",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 1200,
+        "unique_ratio": 1.0,
+        "example_values": [
+          "EMP1304",
+          "EMP0398",
+          "EMP0387",
+          "EMP0550",
+          "EMP0598"
+        ]
+      }
+    },
+    {
+      "name": "Age",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 39,
+        "unique_ratio": 0.0325,
+        "example_values": [
+          "28",
+          "47",
+          "38",
+          "29",
+          "26"
+        ]
+      }
+    },
+    {
+      "name": "Years_Experience",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 29,
+        "unique_ratio": 0.024167,
+        "example_values": [
+          "3",
+          "7",
+          "11",
+          "4",
+          "2"
+        ]
+      }
+    },
+    {
+      "name": "WFH_Days_Per_Week",
+      "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": 0.005,
+        "example_values": [
+          "5",
+          "4",
+          "2",
+          "3",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "Gender",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.0025,
+        "example_values": [
+          "Female",
+          "Male",
+          "Non-binary"
+        ]
+      }
+    },
+    {
+      "name": "Education_Level",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 6,
+        "unique_ratio": 0.005,
+        "example_values": [
+          "Bachelor Degree",
+          "Master Degree",
+          "PhD",
+          "Associate Degree",
+          "Professional Degree"
+        ]
+      }
+    },
+    {
+      "name": "Marital_Status",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.003333,
+        "example_values": [
+          "Married",
+          "Single",
+          "Divorced",
+          "In Relationship"
+        ]
+      }
+    },
+    {
+      "name": "Has_Children",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.001667,
+        "example_values": [
+          "Yes",
+          "No"
+        ]
+      }
+    },
+    {
+      "name": "Location_Type",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.0025,
+        "example_values": [
+          "Urban",
+          "Suburban",
+          "Rural"
+        ]
+      }
+    },
+    {
+      "name": "Department",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 0.008333,
+        "example_values": [
+          "Engineering",
+          "Sales",
+          "Finance",
+          "Marketing",
+          "Operations"
+        ]
+      }
+    },
+    {
+      "name": "Job_Level",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 6,
+        "unique_ratio": 0.005,
+        "example_values": [
+          "Senior",
+          "Mid-Level",
+          "Lead",
+          "Junior",
+          "Manager"
+        ]
+      }
+    },
+    {
+      "name": "Company_Size",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.004167,
+        "example_values": [
+          "Large (1001-5000)",
+          "Enterprise (5000+)",
+          "Startup (1-50)",
+          "Medium (201-1000)",
+          "Small (51-200)"
+        ]
+      }
+    },
+    {
+      "name": "Industry",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 0.008333,
+        "example_values": [
+          "Healthcare",
+          "Non-profit",
+          "Manufacturing",
+          "Technology",
+          "Consulting"
+        ]
+      }
+    },
+    {
+      "name": "Home_Office_Quality",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.003333,
+        "example_values": [
+          "Average",
+          "Excellent",
+          "Good",
+          "Poor"
+        ]
+      }
+    },
+    {
+      "name": "Internet_Speed_Category",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.003333,
+        "example_values": [
+          "Very Fast (100+ Mbps)",
+          "Fast (50-100 Mbps)",
+          "Moderate (25-50 Mbps)",
+          "Slow (<25 Mbps)"
+        ]
+      }
+    },
+    {
+      "name": "Work_Hours_Per_Week",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 36,
+        "unique_ratio": 0.03,
+        "example_values": [
+          "51",
+          "40",
+          "39",
+          "38",
+          "49"
+        ]
+      }
+    },
+    {
+      "name": "Manager_Support_Level",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.004167,
+        "example_values": [
+          "High",
+          "Moderate",
+          "Very High",
+          "Low",
+          "Very Low"
+        ]
+      }
+    },
+    {
+      "name": "Team_Collaboration_Frequency",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.004167,
+        "example_values": [
+          "Few times per week",
+          "Monthly",
+          "Bi-weekly",
+          "Daily",
+          "Weekly"
+        ]
+      }
+    },
+    {
+      "name": "Productivity_Score",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 403,
+        "unique_ratio": 0.335833,
+        "example_values": [
+          "98.0",
+          "95.5",
+          "94.7",
+          "70.4",
+          "78.6"
+        ]
+      }
+    },
+    {
+      "name": "Task_Completion_Rate",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 439,
+        "unique_ratio": 0.365833,
+        "example_values": [
+          "92.7",
+          "100.0",
+          "99.4",
+          "88.3",
+          "88.4"
+        ]
+      }
+    },
+    {
+      "name": "Quality_Score",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 394,
+        "unique_ratio": 0.328333,
+        "example_values": [
+          "88.7",
+          "84.4",
+          "98.9",
+          "96.1",
+          "75.5"
+        ]
+      }
+    },
+    {
+      "name": "Innovation_Score",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 462,
+        "unique_ratio": 0.385,
+        "example_values": [
+          "87.8",
+          "83.9",
+          "80.3",
+          "93.0",
+          "62.1"
+        ]
+      }
+    },
+    {
+      "name": "Efficiency_Rating",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 228,
+        "unique_ratio": 0.19,
+        "example_values": [
+          "95.0",
+          "78.2",
+          "93.7",
+          "79.9",
+          "63.4"
+        ]
+      }
+    },
+    {
+      "name": "Meetings_Per_Week",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 19,
+        "unique_ratio": 0.015833,
+        "example_values": [
+          "11",
+          "10",
+          "7",
+          "8",
+          "6"
+        ]
+      }
+    },
+    {
+      "name": "Commute_Time_Minutes",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 85,
+        "unique_ratio": 0.070833,
+        "example_values": [
+          "0",
+          "18",
+          "39",
+          "25",
+          "44"
+        ]
+      }
+    },
+    {
+      "name": "Job_Satisfaction",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 215,
+        "unique_ratio": 0.179167,
+        "example_values": [
+          "100.0",
+          "91.1",
+          "81.4",
+          "77.0",
+          "98.6"
+        ]
+      }
+    },
+    {
+      "name": "Stress_Level",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 0.008333,
+        "example_values": [
+          "8",
+          "4",
+          "10",
+          "6",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "Work_Life_Balance",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 0.008333,
+        "example_values": [
+          "9",
+          "5",
+          "4",
+          "2",
+          "8"
+        ]
+      }
+    },
+    {
+      "name": "Survey_Date",
+      "role": "feature",
+      "semantic_type": "datetime",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": "%Y-%m-%d",
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 122,
+        "unique_ratio": 0.101667,
+        "example_values": [
+          "2024-02-04",
+          "2024-02-05",
+          "2024-05-02",
+          "2024-03-09",
+          "2024-01-28"
+        ]
+      }
+    },
+    {
+      "name": "Response_Quality",
+      "role": "target",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.0025,
+        "example_values": [
+          "High",
+          "Medium",
+          "Low"
+        ]
+      }
+    }
+  ]
+}

SynthData0523/main/m1/bayesnet/bayesnet-m1-20260321_061005/public_gate/public_gate_report.json

@@ -0,0 +1,37 @@
+{
+  "dataset_id": "m1",
+  "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": "Response_Quality",
+  "task_type": "classification",
+  "input_splits": {
+    "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m1/m1-train.csv",
+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m1/m1-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m1/m1-test.csv"
+  }
+}

SynthData0523/main/m1/bayesnet/bayesnet-m1-20260321_061005/public_gate/staged_input_manifest.json

@@ -0,0 +1,630 @@
+{
+  "dataset_id": "m1",
+  "target_column": "Response_Quality",
+  "task_type": "classification",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/m1/bayesnet/bayesnet-m1-20260321_061005/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/m1/bayesnet/bayesnet-m1-20260321_061005/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/m1/bayesnet/bayesnet-m1-20260321_061005/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/m1/bayesnet/bayesnet-m1-20260321_061005/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/m1/bayesnet/bayesnet-m1-20260321_061005/public_gate/public_gate_report.json",
+  "column_schema": [
+    {
+      "name": "Employee_ID",
+      "role": "id",
+      "semantic_type": "id",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 1200,
+        "unique_ratio": 1.0,
+        "example_values": [
+          "EMP1304",
+          "EMP0398",
+          "EMP0387",
+          "EMP0550",
+          "EMP0598"
+        ]
+      }
+    },
+    {
+      "name": "Age",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 39,
+        "unique_ratio": 0.0325,
+        "example_values": [
+          "28",
+          "47",
+          "38",
+          "29",
+          "26"
+        ]
+      }
+    },
+    {
+      "name": "Years_Experience",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 29,
+        "unique_ratio": 0.024167,
+        "example_values": [
+          "3",
+          "7",
+          "11",
+          "4",
+          "2"
+        ]
+      }
+    },
+    {
+      "name": "WFH_Days_Per_Week",
+      "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": 0.005,
+        "example_values": [
+          "5",
+          "4",
+          "2",
+          "3",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "Gender",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.0025,
+        "example_values": [
+          "Female",
+          "Male",
+          "Non-binary"
+        ]
+      }
+    },
+    {
+      "name": "Education_Level",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 6,
+        "unique_ratio": 0.005,
+        "example_values": [
+          "Bachelor Degree",
+          "Master Degree",
+          "PhD",
+          "Associate Degree",
+          "Professional Degree"
+        ]
+      }
+    },
+    {
+      "name": "Marital_Status",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.003333,
+        "example_values": [
+          "Married",
+          "Single",
+          "Divorced",
+          "In Relationship"
+        ]
+      }
+    },
+    {
+      "name": "Has_Children",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.001667,
+        "example_values": [
+          "Yes",
+          "No"
+        ]
+      }
+    },
+    {
+      "name": "Location_Type",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.0025,
+        "example_values": [
+          "Urban",
+          "Suburban",
+          "Rural"
+        ]
+      }
+    },
+    {
+      "name": "Department",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 0.008333,
+        "example_values": [
+          "Engineering",
+          "Sales",
+          "Finance",
+          "Marketing",
+          "Operations"
+        ]
+      }
+    },
+    {
+      "name": "Job_Level",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 6,
+        "unique_ratio": 0.005,
+        "example_values": [
+          "Senior",
+          "Mid-Level",
+          "Lead",
+          "Junior",
+          "Manager"
+        ]
+      }
+    },
+    {
+      "name": "Company_Size",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.004167,
+        "example_values": [
+          "Large (1001-5000)",
+          "Enterprise (5000+)",
+          "Startup (1-50)",
+          "Medium (201-1000)",
+          "Small (51-200)"
+        ]
+      }
+    },
+    {
+      "name": "Industry",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 0.008333,
+        "example_values": [
+          "Healthcare",
+          "Non-profit",
+          "Manufacturing",
+          "Technology",
+          "Consulting"
+        ]
+      }
+    },
+    {
+      "name": "Home_Office_Quality",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.003333,
+        "example_values": [
+          "Average",
+          "Excellent",
+          "Good",
+          "Poor"
+        ]
+      }
+    },
+    {
+      "name": "Internet_Speed_Category",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.003333,
+        "example_values": [
+          "Very Fast (100+ Mbps)",
+          "Fast (50-100 Mbps)",
+          "Moderate (25-50 Mbps)",
+          "Slow (<25 Mbps)"
+        ]
+      }
+    },
+    {
+      "name": "Work_Hours_Per_Week",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 36,
+        "unique_ratio": 0.03,
+        "example_values": [
+          "51",
+          "40",
+          "39",
+          "38",
+          "49"
+        ]
+      }
+    },
+    {
+      "name": "Manager_Support_Level",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.004167,
+        "example_values": [
+          "High",
+          "Moderate",
+          "Very High",
+          "Low",
+          "Very Low"
+        ]
+      }
+    },
+    {
+      "name": "Team_Collaboration_Frequency",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.004167,
+        "example_values": [
+          "Few times per week",
+          "Monthly",
+          "Bi-weekly",
+          "Daily",
+          "Weekly"
+        ]
+      }
+    },
+    {
+      "name": "Productivity_Score",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 403,
+        "unique_ratio": 0.335833,
+        "example_values": [
+          "98.0",
+          "95.5",
+          "94.7",
+          "70.4",
+          "78.6"
+        ]
+      }
+    },
+    {
+      "name": "Task_Completion_Rate",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 439,
+        "unique_ratio": 0.365833,
+        "example_values": [
+          "92.7",
+          "100.0",
+          "99.4",
+          "88.3",
+          "88.4"
+        ]
+      }
+    },
+    {
+      "name": "Quality_Score",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 394,
+        "unique_ratio": 0.328333,
+        "example_values": [
+          "88.7",
+          "84.4",
+          "98.9",
+          "96.1",
+          "75.5"
+        ]
+      }
+    },
+    {
+      "name": "Innovation_Score",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 462,
+        "unique_ratio": 0.385,
+        "example_values": [
+          "87.8",
+          "83.9",
+          "80.3",
+          "93.0",
+          "62.1"
+        ]
+      }
+    },
+    {
+      "name": "Efficiency_Rating",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 228,
+        "unique_ratio": 0.19,
+        "example_values": [
+          "95.0",
+          "78.2",
+          "93.7",
+          "79.9",
+          "63.4"
+        ]
+      }
+    },
+    {
+      "name": "Meetings_Per_Week",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 19,
+        "unique_ratio": 0.015833,
+        "example_values": [
+          "11",
+          "10",
+          "7",
+          "8",
+          "6"
+        ]
+      }
+    },
+    {
+      "name": "Commute_Time_Minutes",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 85,
+        "unique_ratio": 0.070833,
+        "example_values": [
+          "0",
+          "18",
+          "39",
+          "25",
+          "44"
+        ]
+      }
+    },
+    {
+      "name": "Job_Satisfaction",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 215,
+        "unique_ratio": 0.179167,
+        "example_values": [
+          "100.0",
+          "91.1",
+          "81.4",
+          "77.0",
+          "98.6"
+        ]
+      }
+    },
+    {
+      "name": "Stress_Level",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 0.008333,
+        "example_values": [
+          "8",
+          "4",
+          "10",
+          "6",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "Work_Life_Balance",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 0.008333,
+        "example_values": [
+          "9",
+          "5",
+          "4",
+          "2",
+          "8"
+        ]
+      }
+    },
+    {
+      "name": "Survey_Date",
+      "role": "feature",
+      "semantic_type": "datetime",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": "%Y-%m-%d",
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 122,
+        "unique_ratio": 0.101667,
+        "example_values": [
+          "2024-02-04",
+          "2024-02-05",
+          "2024-05-02",
+          "2024-03-09",
+          "2024-01-28"
+        ]
+      }
+    },
+    {
+      "name": "Response_Quality",
+      "role": "target",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.0025,
+        "example_values": [
+          "High",
+          "Medium",
+          "Low"
+        ]
+      }
+    }
+  ]
+}

SynthData0523/main/m1/bayesnet/bayesnet-m1-20260321_061005/runtime_result.json

@@ -0,0 +1,14 @@
+{
+  "dataset_id": "m1",
+  "model": "bayesnet",
+  "run_id": "bayesnet-m1-20260321_061005",
+  "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/m1/bayesnet/bayesnet-m1-20260321_061005/bayesnet-m1-1200-20260330_065535.csv"
+  }
+}

SynthData0523/main/m1/bayesnet/bayesnet-m1-20260321_061005/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/m1/bayesnet/bayesnet-m1-20260321_061005/staged/bayesnet/model_input_manifest.json"
+}

SynthData0523/main/m1/bayesnet/bayesnet-m1-20260321_061005/staged/bayesnet/adapter_transforms_applied.json

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

SynthData0523/main/m1/bayesnet/bayesnet-m1-20260321_061005/staged/bayesnet/model_input_manifest.json

@@ -0,0 +1,632 @@
+{
+  "dataset_id": "m1",
+  "model": "bayesnet",
+  "target_column": "Response_Quality",
+  "task_type": "classification",
+  "column_schema": [
+    {
+      "name": "Employee_ID",
+      "role": "id",
+      "semantic_type": "id",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 1200,
+        "unique_ratio": 1.0,
+        "example_values": [
+          "EMP1304",
+          "EMP0398",
+          "EMP0387",
+          "EMP0550",
+          "EMP0598"
+        ]
+      }
+    },
+    {
+      "name": "Age",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 39,
+        "unique_ratio": 0.0325,
+        "example_values": [
+          "28",
+          "47",
+          "38",
+          "29",
+          "26"
+        ]
+      }
+    },
+    {
+      "name": "Years_Experience",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 29,
+        "unique_ratio": 0.024167,
+        "example_values": [
+          "3",
+          "7",
+          "11",
+          "4",
+          "2"
+        ]
+      }
+    },
+    {
+      "name": "WFH_Days_Per_Week",
+      "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": 0.005,
+        "example_values": [
+          "5",
+          "4",
+          "2",
+          "3",
+          "1"
+        ]
+      }
+    },
+    {
+      "name": "Gender",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.0025,
+        "example_values": [
+          "Female",
+          "Male",
+          "Non-binary"
+        ]
+      }
+    },
+    {
+      "name": "Education_Level",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 6,
+        "unique_ratio": 0.005,
+        "example_values": [
+          "Bachelor Degree",
+          "Master Degree",
+          "PhD",
+          "Associate Degree",
+          "Professional Degree"
+        ]
+      }
+    },
+    {
+      "name": "Marital_Status",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.003333,
+        "example_values": [
+          "Married",
+          "Single",
+          "Divorced",
+          "In Relationship"
+        ]
+      }
+    },
+    {
+      "name": "Has_Children",
+      "role": "feature",
+      "semantic_type": "boolean",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2,
+        "unique_ratio": 0.001667,
+        "example_values": [
+          "Yes",
+          "No"
+        ]
+      }
+    },
+    {
+      "name": "Location_Type",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.0025,
+        "example_values": [
+          "Urban",
+          "Suburban",
+          "Rural"
+        ]
+      }
+    },
+    {
+      "name": "Department",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 0.008333,
+        "example_values": [
+          "Engineering",
+          "Sales",
+          "Finance",
+          "Marketing",
+          "Operations"
+        ]
+      }
+    },
+    {
+      "name": "Job_Level",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 6,
+        "unique_ratio": 0.005,
+        "example_values": [
+          "Senior",
+          "Mid-Level",
+          "Lead",
+          "Junior",
+          "Manager"
+        ]
+      }
+    },
+    {
+      "name": "Company_Size",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.004167,
+        "example_values": [
+          "Large (1001-5000)",
+          "Enterprise (5000+)",
+          "Startup (1-50)",
+          "Medium (201-1000)",
+          "Small (51-200)"
+        ]
+      }
+    },
+    {
+      "name": "Industry",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 0.008333,
+        "example_values": [
+          "Healthcare",
+          "Non-profit",
+          "Manufacturing",
+          "Technology",
+          "Consulting"
+        ]
+      }
+    },
+    {
+      "name": "Home_Office_Quality",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.003333,
+        "example_values": [
+          "Average",
+          "Excellent",
+          "Good",
+          "Poor"
+        ]
+      }
+    },
+    {
+      "name": "Internet_Speed_Category",
+      "role": "feature",
+      "semantic_type": "text",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 4,
+        "unique_ratio": 0.003333,
+        "example_values": [
+          "Very Fast (100+ Mbps)",
+          "Fast (50-100 Mbps)",
+          "Moderate (25-50 Mbps)",
+          "Slow (<25 Mbps)"
+        ]
+      }
+    },
+    {
+      "name": "Work_Hours_Per_Week",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 36,
+        "unique_ratio": 0.03,
+        "example_values": [
+          "51",
+          "40",
+          "39",
+          "38",
+          "49"
+        ]
+      }
+    },
+    {
+      "name": "Manager_Support_Level",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.004167,
+        "example_values": [
+          "High",
+          "Moderate",
+          "Very High",
+          "Low",
+          "Very Low"
+        ]
+      }
+    },
+    {
+      "name": "Team_Collaboration_Frequency",
+      "role": "feature",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 5,
+        "unique_ratio": 0.004167,
+        "example_values": [
+          "Few times per week",
+          "Monthly",
+          "Bi-weekly",
+          "Daily",
+          "Weekly"
+        ]
+      }
+    },
+    {
+      "name": "Productivity_Score",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 403,
+        "unique_ratio": 0.335833,
+        "example_values": [
+          "98.0",
+          "95.5",
+          "94.7",
+          "70.4",
+          "78.6"
+        ]
+      }
+    },
+    {
+      "name": "Task_Completion_Rate",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 439,
+        "unique_ratio": 0.365833,
+        "example_values": [
+          "92.7",
+          "100.0",
+          "99.4",
+          "88.3",
+          "88.4"
+        ]
+      }
+    },
+    {
+      "name": "Quality_Score",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 394,
+        "unique_ratio": 0.328333,
+        "example_values": [
+          "88.7",
+          "84.4",
+          "98.9",
+          "96.1",
+          "75.5"
+        ]
+      }
+    },
+    {
+      "name": "Innovation_Score",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 462,
+        "unique_ratio": 0.385,
+        "example_values": [
+          "87.8",
+          "83.9",
+          "80.3",
+          "93.0",
+          "62.1"
+        ]
+      }
+    },
+    {
+      "name": "Efficiency_Rating",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 228,
+        "unique_ratio": 0.19,
+        "example_values": [
+          "95.0",
+          "78.2",
+          "93.7",
+          "79.9",
+          "63.4"
+        ]
+      }
+    },
+    {
+      "name": "Meetings_Per_Week",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 19,
+        "unique_ratio": 0.015833,
+        "example_values": [
+          "11",
+          "10",
+          "7",
+          "8",
+          "6"
+        ]
+      }
+    },
+    {
+      "name": "Commute_Time_Minutes",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 85,
+        "unique_ratio": 0.070833,
+        "example_values": [
+          "0",
+          "18",
+          "39",
+          "25",
+          "44"
+        ]
+      }
+    },
+    {
+      "name": "Job_Satisfaction",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 215,
+        "unique_ratio": 0.179167,
+        "example_values": [
+          "100.0",
+          "91.1",
+          "81.4",
+          "77.0",
+          "98.6"
+        ]
+      }
+    },
+    {
+      "name": "Stress_Level",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 0.008333,
+        "example_values": [
+          "8",
+          "4",
+          "10",
+          "6",
+          "7"
+        ]
+      }
+    },
+    {
+      "name": "Work_Life_Balance",
+      "role": "feature",
+      "semantic_type": "numeric",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "median",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 10,
+        "unique_ratio": 0.008333,
+        "example_values": [
+          "9",
+          "5",
+          "4",
+          "2",
+          "8"
+        ]
+      }
+    },
+    {
+      "name": "Survey_Date",
+      "role": "feature",
+      "semantic_type": "datetime",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": "%Y-%m-%d",
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 122,
+        "unique_ratio": 0.101667,
+        "example_values": [
+          "2024-02-04",
+          "2024-02-05",
+          "2024-05-02",
+          "2024-03-09",
+          "2024-01-28"
+        ]
+      }
+    },
+    {
+      "name": "Response_Quality",
+      "role": "target",
+      "semantic_type": "categorical",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "mode",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 3,
+        "unique_ratio": 0.0025,
+        "example_values": [
+          "High",
+          "Medium",
+          "Low"
+        ]
+      }
+    }
+  ],
+  "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/m1/bayesnet/bayesnet-m1-20260321_061005/public_gate/staged_input_manifest.json",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/m1/bayesnet/bayesnet-m1-20260321_061005/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/m1/bayesnet/bayesnet-m1-20260321_061005/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/m1/bayesnet/bayesnet-m1-20260321_061005/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/m1/bayesnet/bayesnet-m1-20260321_061005/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/m1/bayesnet/bayesnet-m1-20260321_061005/public_gate/public_gate_report.json"
+}

SynthData0523/main/m1/bayesnet/bayesnet-m1-20260321_061005/staged/public/staged_features.json

@@ -0,0 +1,152 @@
+[
+  {
+    "feature_name": "Employee_ID",
+    "data_type": "ID",
+    "is_target": false
+  },
+  {
+    "feature_name": "Age",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Years_Experience",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "WFH_Days_Per_Week",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Gender",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "Education_Level",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "Marital_Status",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "Has_Children",
+    "data_type": "binary",
+    "is_target": false
+  },
+  {
+    "feature_name": "Location_Type",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "Department",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "Job_Level",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "Company_Size",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "Industry",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "Home_Office_Quality",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "Internet_Speed_Category",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "Work_Hours_Per_Week",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Manager_Support_Level",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "Team_Collaboration_Frequency",
+    "data_type": "categorical",
+    "is_target": false
+  },
+  {
+    "feature_name": "Productivity_Score",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Task_Completion_Rate",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Quality_Score",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Innovation_Score",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Efficiency_Rating",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Meetings_Per_Week",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Commute_Time_Minutes",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Job_Satisfaction",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Stress_Level",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Work_Life_Balance",
+    "data_type": "continuous",
+    "is_target": false
+  },
+  {
+    "feature_name": "Survey_Date",
+    "data_type": "timestamp",
+    "is_target": false
+  },
+  {
+    "feature_name": "Response_Quality",
+    "data_type": "categorical",
+    "is_target": true
+  }
+]

SynthData0523/main/m1/bayesnet/bayesnet-m1-20260321_061005/staged/public/test.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6b10fb23dd851cc8e9512cc2f6c6cf8a7d55a9e129e0ea3fcfdf74a1d9c4ae4e
+size 31319

SynthData0523/main/m1/bayesnet/bayesnet-m1-20260321_061005/staged/public/train.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e9c852dcaca7e39ee66137ba8b9d16cff5ac3db8773ada638088281140b801f
+size 246535

SynthData0523/main/m1/bayesnet/bayesnet-m1-20260321_061005/staged/public/val.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:74e1ec553c236519ce940f48b25c8f9b87aca28e5746f70de8e292fcae7b3dfb
+size 31323

SynthData0523/main/m1/bayesnet/bayesnet-m1-20260321_061005/train_20260321_061005.log

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b2cf4fd591f5f241b058a3a9a43df118d6fb0c9dac118c91f140a042868cd29d
+size 35103

SynthData0523/main/m1/ctgan/ctgan-m1-20260322_064456/ctgan-m1-1000-20260322_064638.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:25ace6f3f0729fd07f057f77cabf67292133de2170c025cbc2d81e87384522e5
+size 283206

SynthData0523/main/m1/ctgan/ctgan-m1-20260322_064456/ctgan-m1-1200-20260330_065514.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b6d40a0fdba77cb6cc456419948ac7605bd81a2b0cc78d76b70a7984ef7fd335
+size 338756

SynthData0523/main/m1/ctgan/ctgan-m1-20260322_064456/ctgan_metadata.json

@@ -0,0 +1,124 @@
+{
+  "columns": [
+    {
+      "name": "Employee_ID",
+      "type": "categorical"
+    },
+    {
+      "name": "Age",
+      "type": "continuous"
+    },
+    {
+      "name": "Years_Experience",
+      "type": "continuous"
+    },
+    {
+      "name": "WFH_Days_Per_Week",
+      "type": "continuous"
+    },
+    {
+      "name": "Gender",
+      "type": "categorical"
+    },
+    {
+      "name": "Education_Level",
+      "type": "categorical"
+    },
+    {
+      "name": "Marital_Status",
+      "type": "categorical"
+    },
+    {
+      "name": "Has_Children",
+      "type": "categorical"
+    },
+    {
+      "name": "Location_Type",
+      "type": "categorical"
+    },
+    {
+      "name": "Department",
+      "type": "categorical"
+    },
+    {
+      "name": "Job_Level",
+      "type": "categorical"
+    },
+    {
+      "name": "Company_Size",
+      "type": "categorical"
+    },
+    {
+      "name": "Industry",
+      "type": "categorical"
+    },
+    {
+      "name": "Home_Office_Quality",
+      "type": "categorical"
+    },
+    {
+      "name": "Internet_Speed_Category",
+      "type": "categorical"
+    },
+    {
+      "name": "Work_Hours_Per_Week",
+      "type": "continuous"
+    },
+    {
+      "name": "Manager_Support_Level",
+      "type": "categorical"
+    },
+    {
+      "name": "Team_Collaboration_Frequency",
+      "type": "categorical"
+    },
+    {
+      "name": "Productivity_Score",
+      "type": "continuous"
+    },
+    {
+      "name": "Task_Completion_Rate",
+      "type": "continuous"
+    },
+    {
+      "name": "Quality_Score",
+      "type": "continuous"
+    },
+    {
+      "name": "Innovation_Score",
+      "type": "continuous"
+    },
+    {
+      "name": "Efficiency_Rating",
+      "type": "continuous"
+    },
+    {
+      "name": "Meetings_Per_Week",
+      "type": "continuous"
+    },
+    {
+      "name": "Commute_Time_Minutes",
+      "type": "continuous"
+    },
+    {
+      "name": "Job_Satisfaction",
+      "type": "continuous"
+    },
+    {
+      "name": "Stress_Level",
+      "type": "continuous"
+    },
+    {
+      "name": "Work_Life_Balance",
+      "type": "continuous"
+    },
+    {
+      "name": "Survey_Date",
+      "type": "categorical"
+    },
+    {
+      "name": "Response_Quality",
+      "type": "categorical"
+    }
+  ]
+}

SynthData0523/main/m1/ctgan/ctgan-m1-20260322_064456/input_snapshot.json

@@ -0,0 +1,36 @@
+{
+  "dataset_id": "m1",
+  "model": "ctgan",
+  "inputs": {
+    "train_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m1/m1-train.csv",
+      "exists": true,
+      "size": 247736,
+      "sha256": "28658fdcbade81b9228e4ee5f9e62cadcf890698f730afc2be402c32a71e151b"
+    },
+    "val_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m1/m1-val.csv",
+      "exists": true,
+      "size": 31474,
+      "sha256": "456422d2c2f69adfe81c81e2e6be1bf6fee895a582b8b63462ff234f90872927"
+    },
+    "test_csv": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m1/m1-test.csv",
+      "exists": true,
+      "size": 31470,
+      "sha256": "e0c692b62a23156b1c7d1895a979efb671de3e8a79399169602adeafb5733764"
+    },
+    "profile_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m1/m1-dataset_profile.json",
+      "exists": true,
+      "size": 12335,
+      "sha256": "bec761b39442c197addda4f50857b05419b1209fd5da1163d5a5ec10f0a79c62"
+    },
+    "contract_json": {
+      "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m1/m1-dataset_contract_v1.json",
+      "exists": true,
+      "size": 14869,
+      "sha256": "5dd17025fe3446132776c80de35ceea1682db199b4e0c374bbb9b622c76a6180"
+    }
+  }
+}

SynthData0523/main/m1/ctgan/ctgan-m1-20260322_064456/models_300epochs/ctgan_300epochs.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fb59f26476b43834d3189bcb0a82fb3012d57b008a61498fabfbe08c1cbac0a6
+size 16952227

SynthData0523/main/m1/ctgan/ctgan-m1-20260322_064456/models_300epochs/train_20260322_064456.log

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e08d9cbaac7315c19cc6ffbb125e1699401614927b4f27c0faf3272174fc6602
+size 372