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Resume SynthData0523 main/c4 batch 2

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  1. .gitattributes +33 -0
  2. SynthData0523/main/c4/ctgan/ctgan-c4-20260321_062012/public_gate/public_gate_report.json +37 -0
  3. SynthData0523/main/c4/ctgan/ctgan-c4-20260321_062012/public_gate/staged_input_manifest.json +679 -0
  4. SynthData0523/main/c4/ctgan/ctgan-c4-20260321_062012/runtime_result.json +14 -0
  5. SynthData0523/main/c4/ctgan/ctgan-c4-20260321_062012/staged/ctgan/adapter_report.json +7 -0
  6. SynthData0523/main/c4/ctgan/ctgan-c4-20260321_062012/staged/ctgan/adapter_transforms_applied.json +1 -0
  7. SynthData0523/main/c4/ctgan/ctgan-c4-20260321_062012/staged/ctgan/model_input_manifest.json +681 -0
  8. SynthData0523/main/c4/ctgan/ctgan-c4-20260321_062012/staged/public/staged_features.json +187 -0
  9. SynthData0523/main/c4/ctgan/ctgan-c4-20260321_062012/staged/public/test.csv +3 -0
  10. SynthData0523/main/c4/ctgan/ctgan-c4-20260321_062012/staged/public/train.csv +3 -0
  11. SynthData0523/main/c4/ctgan/ctgan-c4-20260321_062012/staged/public/val.csv +3 -0
  12. SynthData0523/main/c4/forestdiffusion/forest-c4-20260510_204828/_fd_X_host.npy +3 -0
  13. SynthData0523/main/c4/forestdiffusion/forest-c4-20260510_204828/_fd_gen.py +8 -0
  14. SynthData0523/main/c4/forestdiffusion/forest-c4-20260510_204828/_fd_meta_host.json +3 -0
  15. SynthData0523/main/c4/forestdiffusion/forest-c4-20260510_204828/_fd_train.py +36 -0
  16. SynthData0523/main/c4/forestdiffusion/forest-c4-20260510_204828/forest-c4-2557-20260510_204830.csv +3 -0
  17. SynthData0523/main/c4/forestdiffusion/forest-c4-20260510_204828/forestdiffusion_model.joblib +3 -0
  18. SynthData0523/main/c4/forestdiffusion/forest-c4-20260510_204828/gen_20260510_204830.log +3 -0
  19. SynthData0523/main/c4/forestdiffusion/forest-c4-20260510_204828/input_snapshot.json +3 -0
  20. SynthData0523/main/c4/forestdiffusion/forest-c4-20260510_204828/models_fd/model.joblib +3 -0
  21. SynthData0523/main/c4/forestdiffusion/forest-c4-20260510_204828/public_gate/normalized_schema_snapshot.json +3 -0
  22. SynthData0523/main/c4/forestdiffusion/forest-c4-20260510_204828/public_gate/public_gate_report.json +3 -0
  23. SynthData0523/main/c4/forestdiffusion/forest-c4-20260510_204828/public_gate/staged_input_manifest.json +3 -0
  24. SynthData0523/main/c4/forestdiffusion/forest-c4-20260510_204828/run_config.json +3 -0
  25. SynthData0523/main/c4/forestdiffusion/forest-c4-20260510_204828/runtime_result.json +3 -0
  26. SynthData0523/main/c4/forestdiffusion/forest-c4-20260510_204828/staged/forestdiffusion/adapter_report.json +3 -0
  27. SynthData0523/main/c4/forestdiffusion/forest-c4-20260510_204828/staged/forestdiffusion/adapter_transforms_applied.json +3 -0
  28. SynthData0523/main/c4/forestdiffusion/forest-c4-20260510_204828/staged/forestdiffusion/model_input_manifest.json +3 -0
  29. SynthData0523/main/c4/forestdiffusion/forest-c4-20260510_204828/staged/public/staged_features.json +3 -0
  30. SynthData0523/main/c4/forestdiffusion/forest-c4-20260510_204828/staged/public/test.csv +3 -0
  31. SynthData0523/main/c4/forestdiffusion/forest-c4-20260510_204828/staged/public/train.csv +3 -0
  32. SynthData0523/main/c4/forestdiffusion/forest-c4-20260510_204828/staged/public/val.csv +3 -0
  33. SynthData0523/main/c4/forestdiffusion/forest-c4-20260510_204828/train_20260510_204828.log +3 -0
  34. SynthData0523/main/c4/realtabformer/rtf-c4-20260328_055837/gen_20260328_094311.log +3 -0
  35. SynthData0523/main/c4/realtabformer/rtf-c4-20260328_055837/gen_20260418_073619.log +3 -0
  36. SynthData0523/main/c4/realtabformer/rtf-c4-20260328_055837/gen_20260418_073819.log +3 -0
  37. SynthData0523/main/c4/realtabformer/rtf-c4-20260328_055837/gen_20260418_074424.log +3 -0
  38. SynthData0523/main/c4/realtabformer/rtf-c4-20260328_055837/gen_20260418_082734.log +3 -0
  39. SynthData0523/main/c4/realtabformer/rtf-c4-20260328_055837/input_snapshot.json +36 -0
  40. SynthData0523/main/c4/realtabformer/rtf-c4-20260328_055837/models_100epochs/id000017746621841651363840/rtf_config.json +1 -0
  41. SynthData0523/main/c4/realtabformer/rtf-c4-20260328_055837/models_100epochs/id000017746621841651363840/rtf_model.pt +3 -0
  42. SynthData0523/main/c4/realtabformer/rtf-c4-20260328_055837/public_gate/normalized_schema_snapshot.json +674 -0
  43. SynthData0523/main/c4/realtabformer/rtf-c4-20260328_055837/public_gate/public_gate_report.json +37 -0
  44. SynthData0523/main/c4/realtabformer/rtf-c4-20260328_055837/public_gate/staged_input_manifest.json +679 -0
  45. SynthData0523/main/c4/realtabformer/rtf-c4-20260328_055837/realtabformer_features.json +187 -0
  46. SynthData0523/main/c4/realtabformer/rtf-c4-20260328_055837/rtf-c4-1000-20260328_094311.csv +3 -0
  47. SynthData0523/main/c4/realtabformer/rtf-c4-20260328_055837/rtf-c4-2557-20260418_073819.csv +3 -0
  48. SynthData0523/main/c4/realtabformer/rtf-c4-20260328_055837/rtf-c4-2557-20260418_074424.csv +3 -0
  49. SynthData0523/main/c4/realtabformer/rtf-c4-20260328_055837/rtf-c4-2557-20260418_082734.csv +3 -0
  50. SynthData0523/main/c4/realtabformer/rtf-c4-20260328_055837/runtime_result.json +14 -0
.gitattributes CHANGED
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+
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+ import joblib, pandas as pd
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+ # generate:batch_size 为样本数
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+ arr = m.generate(batch_size=int(2557))
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+ print("saved", len(df))
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+
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+ import os, shutil, json
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+ with open('/tmp/pgrep', 'w') as _f:
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+ _f.write("#!/usr/bin/env python3\n")
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+ _f.write("import subprocess, sys\n")
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+ _f.write("ppid = sys.argv[-1]\n")
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+ _f.write("out = subprocess.check_output(['ps', '-o', 'pid=', '--ppid', str(ppid)], text=True)\n")
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+ _f.write("print(out, end='')\n")
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+ os.chmod('/tmp/pgrep', 0o755)
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+ os.environ['PATH'] = '/tmp:' + os.environ.get('PATH', '')
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13
+ open('/tmp/fd_meta.json','w').write(f.read())
14
+
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+ import numpy as np, joblib, json, os
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+ from ForestDiffusion import ForestDiffusionModel
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+ X = np.load("/tmp/fd_X.npy")
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+ with open("/tmp/fd_meta.json") as f:
19
+ meta = json.load(f)
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+ cat_indexes = meta["cat_indexes"]
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+ print(
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+ "[ForestDiffusion] train config: "
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+ f"rows={X.shape[0]} cols={X.shape[1]} n_t=2 "
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+ f"n_estimators=1 duplicate_K=1 n_jobs=1 "
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+ f"max_depth=2 xgb_verbosity=0 xgb_nthread=1",
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+ flush=True,
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+ )
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+ m = ForestDiffusionModel(
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+ X, n_t=2, n_estimators=1, duplicate_K=1, n_jobs=1,
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+ model="xgboost", max_depth=2, tree_method="hist", cat_indexes=cat_indexes,
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+ verbosity=0, nthread=1,
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+ )
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+ joblib.dump((m, meta), "/tmp/fd_model.joblib")
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+ print("ForestDiffusion train OK")
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+
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+ shutil.copy('/tmp/fd_model.joblib', r'/work/output-Benchmark-trainonly-v1/c4/forestdiffusion/forest-c4-20260510_204828/forestdiffusion_model.joblib')
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