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  1. SynthesizePipeline_Archive/output-SpecializedModels/c9/arf/arf-c9-20260318_034605/_arf_generate.py +6 -0
  2. SynthesizePipeline_Archive/output-SpecializedModels/c9/arf/arf-c9-20260318_034605/_arf_train.py +19 -0
  3. SynthesizePipeline_Archive/output-SpecializedModels/c9/arf/arf-c9-20260318_034605/gen_20260318_035632.log +3 -0
  4. SynthesizePipeline_Archive/output-SpecializedModels/c9/arf/arf-c9-20260318_034605/train_20260318_034605.log +8 -0
  5. SynthesizePipeline_Archive/output-SpecializedModels/c9/arf/arf-c9-20260321_065512/_arf_generate.py +6 -0
  6. SynthesizePipeline_Archive/output-SpecializedModels/c9/arf/arf-c9-20260321_065512/_arf_train.py +19 -0
  7. SynthesizePipeline_Archive/output-SpecializedModels/c9/arf/arf-c9-20260321_065512/gen_20260321_070552.log +3 -0
  8. SynthesizePipeline_Archive/output-SpecializedModels/c9/arf/arf-c9-20260321_065512/gen_20260330_065333.log +3 -0
  9. SynthesizePipeline_Archive/output-SpecializedModels/c9/arf/arf-c9-20260321_065512/input_snapshot.json +36 -0
  10. SynthesizePipeline_Archive/output-SpecializedModels/c9/arf/arf-c9-20260321_065512/public_gate/normalized_schema_snapshot.json +214 -0
  11. SynthesizePipeline_Archive/output-SpecializedModels/c9/arf/arf-c9-20260321_065512/public_gate/public_gate_report.json +37 -0
  12. SynthesizePipeline_Archive/output-SpecializedModels/c9/arf/arf-c9-20260321_065512/public_gate/staged_input_manifest.json +219 -0
  13. SynthesizePipeline_Archive/output-SpecializedModels/c9/arf/arf-c9-20260321_065512/runtime_result.json +14 -0
  14. SynthesizePipeline_Archive/output-SpecializedModels/c9/arf/arf-c9-20260321_065512/staged/arf/adapter_report.json +7 -0
  15. SynthesizePipeline_Archive/output-SpecializedModels/c9/arf/arf-c9-20260321_065512/staged/arf/adapter_transforms_applied.json +1 -0
  16. SynthesizePipeline_Archive/output-SpecializedModels/c9/arf/arf-c9-20260321_065512/staged/arf/model_input_manifest.json +221 -0
  17. SynthesizePipeline_Archive/output-SpecializedModels/c9/arf/arf-c9-20260321_065512/staged/public/staged_features.json +52 -0
  18. SynthesizePipeline_Archive/output-SpecializedModels/c9/arf/arf-c9-20260321_065512/staged/public/test.csv +0 -0
  19. SynthesizePipeline_Archive/output-SpecializedModels/c9/arf/arf-c9-20260321_065512/staged/public/train.csv +0 -0
  20. SynthesizePipeline_Archive/output-SpecializedModels/c9/arf/arf-c9-20260321_065512/staged/public/val.csv +0 -0
  21. SynthesizePipeline_Archive/output-SpecializedModels/c9/arf/arf-c9-20260321_065512/train_20260321_065512.log +6 -0
  22. SynthesizePipeline_Archive/output-SpecializedModels/c9/ctgan/ctgan-c9-20260318_035032/ctgan_metadata.json +44 -0
  23. SynthesizePipeline_Archive/output-SpecializedModels/c9/ctgan/ctgan-c9-20260318_035032/gen_20260318_040547.log +0 -0
  24. SynthesizePipeline_Archive/output-SpecializedModels/c9/ctgan/ctgan-c9-20260318_035032/models_300epochs/train_20260318_035032.log +2 -0
  25. SynthesizePipeline_Archive/output-SpecializedModels/c9/ctgan/ctgan-c9-20260321_072731/ctgan_metadata.json +44 -0
  26. SynthesizePipeline_Archive/output-SpecializedModels/c9/ctgan/ctgan-c9-20260321_072731/gen_20260321_075104.log +0 -0
  27. SynthesizePipeline_Archive/output-SpecializedModels/c9/ctgan/ctgan-c9-20260321_072731/gen_20260330_065329.log +0 -0
  28. SynthesizePipeline_Archive/output-SpecializedModels/c9/ctgan/ctgan-c9-20260321_072731/input_snapshot.json +36 -0
  29. SynthesizePipeline_Archive/output-SpecializedModels/c9/ctgan/ctgan-c9-20260321_072731/models_300epochs/train_20260321_072731.log +2 -0
  30. SynthesizePipeline_Archive/output-SpecializedModels/c9/ctgan/ctgan-c9-20260321_072731/public_gate/normalized_schema_snapshot.json +214 -0
  31. SynthesizePipeline_Archive/output-SpecializedModels/c9/ctgan/ctgan-c9-20260321_072731/public_gate/public_gate_report.json +37 -0
  32. SynthesizePipeline_Archive/output-SpecializedModels/c9/ctgan/ctgan-c9-20260321_072731/public_gate/staged_input_manifest.json +219 -0
  33. SynthesizePipeline_Archive/output-SpecializedModels/c9/ctgan/ctgan-c9-20260321_072731/runtime_result.json +14 -0
  34. SynthesizePipeline_Archive/output-SpecializedModels/c9/ctgan/ctgan-c9-20260321_072731/staged/ctgan/adapter_report.json +7 -0
  35. SynthesizePipeline_Archive/output-SpecializedModels/c9/ctgan/ctgan-c9-20260321_072731/staged/ctgan/adapter_transforms_applied.json +1 -0
  36. SynthesizePipeline_Archive/output-SpecializedModels/c9/ctgan/ctgan-c9-20260321_072731/staged/ctgan/model_input_manifest.json +221 -0
  37. SynthesizePipeline_Archive/output-SpecializedModels/c9/ctgan/ctgan-c9-20260321_072731/staged/public/staged_features.json +52 -0
  38. SynthesizePipeline_Archive/output-SpecializedModels/c9/ctgan/ctgan-c9-20260321_072731/staged/public/test.csv +0 -0
  39. SynthesizePipeline_Archive/output-SpecializedModels/c9/ctgan/ctgan-c9-20260321_072731/staged/public/train.csv +0 -0
  40. SynthesizePipeline_Archive/output-SpecializedModels/c9/ctgan/ctgan-c9-20260321_072731/staged/public/val.csv +0 -0
  41. SynthesizePipeline_Archive/output-SpecializedModels/c9/realtabformer/input_snapshot.json +36 -0
  42. SynthesizePipeline_Archive/output-SpecializedModels/c9/realtabformer/public_gate/normalized_schema_snapshot.json +214 -0
  43. SynthesizePipeline_Archive/output-SpecializedModels/c9/realtabformer/public_gate/public_gate_report.json +37 -0
  44. SynthesizePipeline_Archive/output-SpecializedModels/c9/realtabformer/public_gate/staged_input_manifest.json +219 -0
  45. SynthesizePipeline_Archive/output-SpecializedModels/c9/realtabformer/rtf-c9-20260322_001619/gen_20260322_044910.log +13 -0
  46. SynthesizePipeline_Archive/output-SpecializedModels/c9/realtabformer/rtf-c9-20260322_001619/input_snapshot.json +36 -0
  47. SynthesizePipeline_Archive/output-SpecializedModels/c9/realtabformer/rtf-c9-20260322_001619/realtabformer_features.json +52 -0
  48. SynthesizePipeline_Archive/output-SpecializedModels/c9/realtabformer/rtf-c9-20260322_001619/runtime_result.json +15 -0
  49. SynthesizePipeline_Archive/output-SpecializedModels/c9/realtabformer/rtf-c9-20260322_001619/staged/realtabformer/adapter_report.json +7 -0
  50. SynthesizePipeline_Archive/output-SpecializedModels/c9/realtabformer/rtf-c9-20260328_165229/public_gate/normalized_schema_snapshot.json +214 -0
SynthesizePipeline_Archive/output-SpecializedModels/c9/arf/arf-c9-20260318_034605/_arf_generate.py ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ import pickle
2
+ with open("/work/output-SpecializedModels/c9/arf/arf-c9-20260318_034605/arf_model.pkl", "rb") as f:
3
+ model = pickle.load(f)
4
+ syn = model.forge(n=26215)
5
+ syn.to_csv("/work/output-SpecializedModels/c9/arf/arf-c9-20260318_034605/arf-c9-26215-20260318_035632.csv", index=False)
6
+ print(f"[ARF] Generated 26215 rows -> /work/output-SpecializedModels/c9/arf/arf-c9-20260318_034605/arf-c9-26215-20260318_035632.csv")
SynthesizePipeline_Archive/output-SpecializedModels/c9/arf/arf-c9-20260318_034605/_arf_train.py ADDED
@@ -0,0 +1,19 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import pickle
2
+ import pandas as pd
3
+ from arfpy import arf
4
+
5
+ df = pd.read_csv("/work/DatasetNew/c9/c9-train.csv")
6
+ df = df.dropna(axis=1, how="all")
7
+ print(f"[ARF] Training on {len(df)} rows, {len(df.columns)} cols")
8
+
9
+ model = arf.arf(x=df)
10
+ if hasattr(model, "fit"):
11
+ model.fit()
12
+ elif hasattr(model, "forde"):
13
+ model.forde()
14
+ else:
15
+ raise RuntimeError("arfpy API: no fit() / forde()")
16
+
17
+ with open("/work/output-SpecializedModels/c9/arf/arf-c9-20260318_034605/arf_model.pkl", "wb") as f:
18
+ pickle.dump(model, f)
19
+ print(f"[ARF] Model saved -> /work/output-SpecializedModels/c9/arf/arf-c9-20260318_034605/arf_model.pkl")
SynthesizePipeline_Archive/output-SpecializedModels/c9/arf/arf-c9-20260318_034605/gen_20260318_035632.log ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ /usr/local/lib/python3.10/site-packages/arfpy/arf.py:329: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
2
+ if self.factor_cols[j]:
3
+ [ARF] Generated 26215 rows -> /work/output-SpecializedModels/c9/arf/arf-c9-20260318_034605/arf-c9-26215-20260318_035632.csv
SynthesizePipeline_Archive/output-SpecializedModels/c9/arf/arf-c9-20260318_034605/train_20260318_034605.log ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ [ARF] Training on 26215 rows, 10 cols
2
+ Initial accuracy is 0.9857715048636277
3
+ /usr/local/lib/python3.10/site-packages/sklearn/ensemble/_forest.py:615: UserWarning: Some inputs do not have OOB scores. This probably means too few trees were used to compute any reliable OOB estimates.
4
+ warn(
5
+ Iteration number 1 reached accuracy of 0.74363913789815.
6
+ Iteration number 2 reached accuracy of 0.5175090596986458.
7
+ Iteration number 3 reached accuracy of 0.547339309555598.
8
+ [ARF] Model saved -> /work/output-SpecializedModels/c9/arf/arf-c9-20260318_034605/arf_model.pkl
SynthesizePipeline_Archive/output-SpecializedModels/c9/arf/arf-c9-20260321_065512/_arf_generate.py ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ import pickle
2
+ with open("/work/output-SpecializedModels/c9/arf/arf-c9-20260321_065512/arf_model.pkl", "rb") as f:
3
+ model = pickle.load(f)
4
+ syn = model.forge(n=26215)
5
+ syn.to_csv("/work/output-SpecializedModels/c9/arf/arf-c9-20260321_065512/arf-c9-26215-20260330_065333.csv", index=False)
6
+ print(f"[ARF] Generated 26215 rows -> /work/output-SpecializedModels/c9/arf/arf-c9-20260321_065512/arf-c9-26215-20260330_065333.csv")
SynthesizePipeline_Archive/output-SpecializedModels/c9/arf/arf-c9-20260321_065512/_arf_train.py ADDED
@@ -0,0 +1,19 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import pickle
2
+ import pandas as pd
3
+ from arfpy import arf
4
+
5
+ df = pd.read_csv("/work/output-SpecializedModels/c9/arf/arf-c9-20260321_065512/staged/public/train.csv")
6
+ df = df.dropna(axis=1, how="all")
7
+ print(f"[ARF] Training on {len(df)} rows, {len(df.columns)} cols")
8
+
9
+ model = arf.arf(x=df)
10
+ if hasattr(model, "fit"):
11
+ model.fit()
12
+ elif hasattr(model, "forde"):
13
+ model.forde()
14
+ else:
15
+ raise RuntimeError("arfpy API: no fit() / forde()")
16
+
17
+ with open("/work/output-SpecializedModels/c9/arf/arf-c9-20260321_065512/arf_model.pkl", "wb") as f:
18
+ pickle.dump(model, f)
19
+ print(f"[ARF] Model saved -> /work/output-SpecializedModels/c9/arf/arf-c9-20260321_065512/arf_model.pkl")
SynthesizePipeline_Archive/output-SpecializedModels/c9/arf/arf-c9-20260321_065512/gen_20260321_070552.log ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ /usr/local/lib/python3.10/site-packages/arfpy/arf.py:329: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
2
+ if self.factor_cols[j]:
3
+ [ARF] Generated 1000 rows -> /work/output-SpecializedModels/c9/arf/arf-c9-20260321_065512/arf-c9-1000-20260321_070552.csv
SynthesizePipeline_Archive/output-SpecializedModels/c9/arf/arf-c9-20260321_065512/gen_20260330_065333.log ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ /usr/local/lib/python3.10/site-packages/arfpy/arf.py:329: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
2
+ if self.factor_cols[j]:
3
+ [ARF] Generated 26215 rows -> /work/output-SpecializedModels/c9/arf/arf-c9-20260321_065512/arf-c9-26215-20260330_065333.csv
SynthesizePipeline_Archive/output-SpecializedModels/c9/arf/arf-c9-20260321_065512/input_snapshot.json ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "dataset_id": "c9",
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+ "model": "arf",
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+ "inputs": {
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+ "train_csv": {
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+ "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c9/c9-train.csv",
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+ "exists": true,
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+ "size": 1656550,
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+ "sha256": "7fe9e4b6e2719c346fd93c7ada4977430d0c593cc5bdae7442a78886f7b71b9e"
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+ "sha256": "01557a0b4304c4b5435df0909d16016ec0ba4ce2c3b31a8815f813ef1376b0b9"
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+ },
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+ "profile_json": {
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+ "exists": true,
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+ "size": 4540,
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+ "sha256": "536d3ace5469df116ca00b7544ee8af409fc29edb7e85f365e465a91244a564e"
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+ },
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+ "contract_json": {
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+ "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c9/c9-dataset_contract_v1.json",
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+ }
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+ }
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+ }
SynthesizePipeline_Archive/output-SpecializedModels/c9/arf/arf-c9-20260321_065512/public_gate/normalized_schema_snapshot.json ADDED
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SynthesizePipeline_Archive/output-SpecializedModels/c9/arf/arf-c9-20260321_065512/train_20260321_065512.log ADDED
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