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Add 5090 success run n5/forestdiffusion/forest-n5-20260427_105738

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  1. 5090-Success/n5/forestdiffusion/forest-n5-20260427_105738/_fd_X_host.npy +3 -0
  2. 5090-Success/n5/forestdiffusion/forest-n5-20260427_105738/_fd_gen.py +8 -0
  3. 5090-Success/n5/forestdiffusion/forest-n5-20260427_105738/_fd_meta_host.json +3 -0
  4. 5090-Success/n5/forestdiffusion/forest-n5-20260427_105738/_fd_train.py +20 -0
  5. 5090-Success/n5/forestdiffusion/forest-n5-20260427_105738/forest-n5-17010-20260429_032331.csv +3 -0
  6. 5090-Success/n5/forestdiffusion/forest-n5-20260427_105738/forestdiffusion_model.joblib +3 -0
  7. 5090-Success/n5/forestdiffusion/forest-n5-20260427_105738/input_snapshot.json +3 -0
  8. 5090-Success/n5/forestdiffusion/forest-n5-20260427_105738/models_fd/model.joblib +3 -0
  9. 5090-Success/n5/forestdiffusion/forest-n5-20260427_105738/public_gate/normalized_schema_snapshot.json +3 -0
  10. 5090-Success/n5/forestdiffusion/forest-n5-20260427_105738/public_gate/public_gate_report.json +3 -0
  11. 5090-Success/n5/forestdiffusion/forest-n5-20260427_105738/public_gate/staged_input_manifest.json +3 -0
  12. 5090-Success/n5/forestdiffusion/forest-n5-20260427_105738/runtime_result.json +3 -0
  13. 5090-Success/n5/forestdiffusion/forest-n5-20260427_105738/staged/forestdiffusion/adapter_report.json +3 -0
  14. 5090-Success/n5/forestdiffusion/forest-n5-20260427_105738/staged/forestdiffusion/adapter_transforms_applied.json +3 -0
  15. 5090-Success/n5/forestdiffusion/forest-n5-20260427_105738/staged/forestdiffusion/model_input_manifest.json +3 -0
  16. 5090-Success/n5/forestdiffusion/forest-n5-20260427_105738/staged/public/staged_features.json +3 -0
  17. 5090-Success/n5/forestdiffusion/forest-n5-20260427_105738/staged/public/test.csv +3 -0
  18. 5090-Success/n5/forestdiffusion/forest-n5-20260427_105738/staged/public/train.csv +3 -0
  19. 5090-Success/n5/forestdiffusion/forest-n5-20260427_105738/staged/public/val.csv +3 -0
  20. 5090-Success/n5/forestdiffusion/forest-n5-20260427_105738/train_20260427_105739.log +3 -0
5090-Success/n5/forestdiffusion/forest-n5-20260427_105738/_fd_X_host.npy ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:8e62899a86fca12a5b462c65d270b3c37cf263644b64d5fddfd2bdf0d188f1ec
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+ size 5579408
5090-Success/n5/forestdiffusion/forest-n5-20260427_105738/_fd_gen.py ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
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+
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+ import joblib, pandas as pd
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+ m, meta = joblib.load(r'/work/output-SpecializedModels/n5/forestdiffusion/forest-n5-20260427_105738/forestdiffusion_model.joblib')
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+ # generate：batch_size 为样本数
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+ arr = m.generate(batch_size=int(17010))
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+ df = pd.DataFrame(arr, columns=meta["column_names"])
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+ df.to_csv(r'/work/output-SpecializedModels/n5/forestdiffusion/forest-n5-20260427_105738/forest-n5-17010-20260429_032331.csv', index=False)
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+ print("saved", len(df))
5090-Success/n5/forestdiffusion/forest-n5-20260427_105738/_fd_meta_host.json ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:75230234ac2623210adb58559484f73bfcd268bfea0eb224af897ed307c84ada
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+ size 1880
5090-Success/n5/forestdiffusion/forest-n5-20260427_105738/_fd_train.py ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+
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+ import shutil, json
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+ shutil.copy(r'/work/output-SpecializedModels/n5/forestdiffusion/forest-n5-20260427_105738/_fd_X_host.npy', '/tmp/fd_X.npy')
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+ with open(r'/work/output-SpecializedModels/n5/forestdiffusion/forest-n5-20260427_105738/_fd_meta_host.json') as f:
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+ open('/tmp/fd_meta.json','w').write(f.read())
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+
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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:
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+ meta = json.load(f)
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+ cat_indexes = meta["cat_indexes"]
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+ m = ForestDiffusionModel(
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+ X, n_t=20, n_estimators=100, duplicate_K=20, n_jobs=2,
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+ model="xgboost", max_depth=6, tree_method="hist", cat_indexes=cat_indexes,
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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-SpecializedModels/n5/forestdiffusion/forest-n5-20260427_105738/forestdiffusion_model.joblib')
5090-Success/n5/forestdiffusion/forest-n5-20260427_105738/forest-n5-17010-20260429_032331.csv ADDED
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5090-Success/n5/forestdiffusion/forest-n5-20260427_105738/forestdiffusion_model.joblib ADDED
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5090-Success/n5/forestdiffusion/forest-n5-20260427_105738/public_gate/normalized_schema_snapshot.json ADDED
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