Resume SynthData0523 main/c3 batch 2

.gitattributes

@@ -4163,3 +4163,36 @@ SynthData0523/main/c3/ctgan/ctgan-c3-20260322_064041/ctgan-c3-1000-20260322_0644
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 SynthData0523/main/c3/ctgan/ctgan-c3-20260322_064041/models_300epochs/ctgan_300epochs.pt filter=lfs diff=lfs merge=lfs -text
 SynthData0523/main/c3/ctgan/ctgan-c3-20260322_064041/models_300epochs/train_20260322_064041.log filter=lfs diff=lfs merge=lfs -text
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+SynthData0523/main/c3/forestdiffusion/forest-c3-20260510_205205/run_config.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c3/forestdiffusion/forest-c3-20260510_205205/runtime_result.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c3/forestdiffusion/forest-c3-20260510_205205/staged/forestdiffusion/adapter_report.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c3/forestdiffusion/forest-c3-20260510_205205/staged/forestdiffusion/adapter_transforms_applied.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c3/forestdiffusion/forest-c3-20260510_205205/staged/forestdiffusion/model_input_manifest.json filter=lfs diff=lfs merge=lfs -text
+SynthData0523/main/c3/forestdiffusion/forest-c3-20260510_205205/staged/public/staged_features.json filter=lfs diff=lfs merge=lfs -text
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SynthData0523/main/c3/ctgan/ctgan-c3-20260322_064041/public_gate/public_gate_report.json

@@ -0,0 +1,37 @@
+{
+  "dataset_id": "c3",
+  "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": "EI",
+  "task_type": "classification",
+  "input_splits": {
+    "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c3/c3-train.csv",
+    "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c3/c3-val.csv",
+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c3/c3-test.csv"
+  }
+}

SynthData0523/main/c3/ctgan/ctgan-c3-20260322_064041/public_gate/staged_input_manifest.json

@@ -0,0 +1,73 @@
+{
+  "dataset_id": "c3",
+  "target_column": "EI",
+  "task_type": "classification",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c3/ctgan/ctgan-c3-20260322_064041/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c3/ctgan/ctgan-c3-20260322_064041/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c3/ctgan/ctgan-c3-20260322_064041/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c3/ctgan/ctgan-c3-20260322_064041/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c3/ctgan/ctgan-c3-20260322_064041/public_gate/public_gate_report.json",
+  "column_schema": [
+    {
+      "name": "EI",
+      "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": 0.001176,
+        "example_values": [
+          "EI",
+          "IE",
+          "N"
+        ]
+      }
+    },
+    {
+      "name": "ATRINS-DONOR-521",
+      "role": "id",
+      "semantic_type": "id",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2541,
+        "unique_ratio": 0.99608,
+        "example_values": [
+          "HUMH19-DONOR-2562",
+          "HUMMHCD8A-ACCEPTOR-733",
+          "HUMGCB1-ACCEPTOR-6344",
+          "HUMNEBB-NEG-241",
+          "HUMATP1A2-NEG-2101"
+        ]
+      }
+    },
+    {
+      "name": "CCAGCTGCATCACAGGAGGCCAGCGAGCAGGTCTGTTCCAAGGGCCTTCGAGCCAGTCTG",
+      "role": "id",
+      "semantic_type": "id",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2426,
+        "unique_ratio": 0.951,
+        "example_values": [
+          "TCTGGGCTCCCAGAACCCACAACATGAAAGGTGAGGGNCTTCCTGCCACACTTGGGGTGG",
+          "TTGCTCAGCCTCGCTGCTTGCCTCCTGCAGACGCCGCCAGGCCGAGCCAGTTCCGGGTGT",
+          "GGGACTCTGACCATCTGTTCCCACATTCAGCAAGTTCATTCCTGAGGGCTCCCAGAGAGT",
+          "GCCAACTACAGGAACGTGATCCATACCTACAACATGCTTCCTGATGCCATGAGCTTTGAA",
+          "GGGAGTCCTAGCCTGAGAGGCTGGGGGTCCATTTTGAGGTTAGAGAGGGGCAGTAGAGCA"
+        ]
+      }
+    }
+  ]
+}

SynthData0523/main/c3/ctgan/ctgan-c3-20260322_064041/runtime_result.json

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+{
+  "dataset_id": "c3",
+  "model": "ctgan",
+  "run_id": "ctgan-c3-20260322_064041",
+  "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/c3/ctgan/ctgan-c3-20260322_064041/ctgan-c3-2551-20260330_065244.csv"
+  }
+}

SynthData0523/main/c3/ctgan/ctgan-c3-20260322_064041/staged/ctgan/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/c3/ctgan/ctgan-c3-20260322_064041/staged/ctgan/model_input_manifest.json"
+}

SynthData0523/main/c3/ctgan/ctgan-c3-20260322_064041/staged/ctgan/adapter_transforms_applied.json

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+[]

SynthData0523/main/c3/ctgan/ctgan-c3-20260322_064041/staged/ctgan/model_input_manifest.json

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+{
+  "dataset_id": "c3",
+  "model": "ctgan",
+  "target_column": "EI",
+  "task_type": "classification",
+  "column_schema": [
+    {
+      "name": "EI",
+      "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": 0.001176,
+        "example_values": [
+          "EI",
+          "IE",
+          "N"
+        ]
+      }
+    },
+    {
+      "name": "ATRINS-DONOR-521",
+      "role": "id",
+      "semantic_type": "id",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2541,
+        "unique_ratio": 0.99608,
+        "example_values": [
+          "HUMH19-DONOR-2562",
+          "HUMMHCD8A-ACCEPTOR-733",
+          "HUMGCB1-ACCEPTOR-6344",
+          "HUMNEBB-NEG-241",
+          "HUMATP1A2-NEG-2101"
+        ]
+      }
+    },
+    {
+      "name": "CCAGCTGCATCACAGGAGGCCAGCGAGCAGGTCTGTTCCAAGGGCCTTCGAGCCAGTCTG",
+      "role": "id",
+      "semantic_type": "id",
+      "nullable": false,
+      "missing_tokens": [],
+      "parse_format": null,
+      "impute_strategy": "keep_raw",
+      "profile_stats": {
+        "missing_rate": 0.0,
+        "unique_count": 2426,
+        "unique_ratio": 0.951,
+        "example_values": [
+          "TCTGGGCTCCCAGAACCCACAACATGAAAGGTGAGGGNCTTCCTGCCACACTTGGGGTGG",
+          "TTGCTCAGCCTCGCTGCTTGCCTCCTGCAGACGCCGCCAGGCCGAGCCAGTTCCGGGTGT",
+          "GGGACTCTGACCATCTGTTCCCACATTCAGCAAGTTCATTCCTGAGGGCTCCCAGAGAGT",
+          "GCCAACTACAGGAACGTGATCCATACCTACAACATGCTTCCTGATGCCATGAGCTTTGAA",
+          "GGGAGTCCTAGCCTGAGAGGCTGGGGGTCCATTTTGAGGTTAGAGAGGGGCAGTAGAGCA"
+        ]
+      }
+    }
+  ],
+  "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c3/ctgan/ctgan-c3-20260322_064041/public_gate/staged_input_manifest.json",
+  "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c3/ctgan/ctgan-c3-20260322_064041/staged/public/train.csv",
+  "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c3/ctgan/ctgan-c3-20260322_064041/staged/public/val.csv",
+  "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c3/ctgan/ctgan-c3-20260322_064041/staged/public/test.csv",
+  "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c3/ctgan/ctgan-c3-20260322_064041/staged/public/staged_features.json",
+  "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c3/ctgan/ctgan-c3-20260322_064041/public_gate/public_gate_report.json"
+}

SynthData0523/main/c3/ctgan/ctgan-c3-20260322_064041/staged/public/staged_features.json

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+[
+  {
+    "feature_name": "EI",
+    "data_type": "categorical",
+    "is_target": true
+  },
+  {
+    "feature_name": "ATRINS-DONOR-521",
+    "data_type": "ID",
+    "is_target": false
+  },
+  {
+    "feature_name": "CCAGCTGCATCACAGGAGGCCAGCGAGCAGGTCTGTTCCAAGGGCCTTCGAGCCAGTCTG",
+    "data_type": "ID",
+    "is_target": false
+  }
+]

SynthData0523/main/c3/ctgan/ctgan-c3-20260322_064041/staged/public/test.csv

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SynthData0523/main/c3/ctgan/ctgan-c3-20260322_064041/staged/public/train.csv

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SynthData0523/main/c3/forestdiffusion/forest-c3-20260510_205205/_fd_X_host.npy

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SynthData0523/main/c3/forestdiffusion/forest-c3-20260510_205205/_fd_gen.py

@@ -0,0 +1,8 @@
+
+import joblib, pandas as pd
+m, meta = joblib.load(r'/work/output-Benchmark-trainonly-v1/c3/forestdiffusion/forest-c3-20260510_205205/forestdiffusion_model.joblib')
+# generate：batch_size 为样本数
+arr = m.generate(batch_size=int(2551))
+df = pd.DataFrame(arr, columns=meta["column_names"])
+df.to_csv(r'/work/output-Benchmark-trainonly-v1/c3/forestdiffusion/forest-c3-20260510_205205/forest-c3-2551-20260510_205255.csv', index=False)
+print("saved", len(df))

SynthData0523/main/c3/forestdiffusion/forest-c3-20260510_205205/_fd_meta_host.json

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SynthData0523/main/c3/forestdiffusion/forest-c3-20260510_205205/_fd_train.py

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+
+import os, shutil, json
+with open('/tmp/pgrep', 'w') as _f:
+    _f.write("#!/usr/bin/env python3\n")
+    _f.write("import subprocess, sys\n")
+    _f.write("ppid = sys.argv[-1]\n")
+    _f.write("out = subprocess.check_output(['ps', '-o', 'pid=', '--ppid', str(ppid)], text=True)\n")
+    _f.write("print(out, end='')\n")
+os.chmod('/tmp/pgrep', 0o755)
+os.environ['PATH'] = '/tmp:' + os.environ.get('PATH', '')
+shutil.copy(r'/work/output-Benchmark-trainonly-v1/c3/forestdiffusion/forest-c3-20260510_205205/_fd_X_host.npy', '/tmp/fd_X.npy')
+with open(r'/work/output-Benchmark-trainonly-v1/c3/forestdiffusion/forest-c3-20260510_205205/_fd_meta_host.json') as f:
+    open('/tmp/fd_meta.json','w').write(f.read())
+
+import numpy as np, joblib, json, os
+from ForestDiffusion import ForestDiffusionModel
+X = np.load("/tmp/fd_X.npy")
+with open("/tmp/fd_meta.json") as f:
+    meta = json.load(f)
+cat_indexes = meta["cat_indexes"]
+print(
+    "[ForestDiffusion] train config: "
+    f"rows={X.shape[0]} cols={X.shape[1]} n_t=2 "
+    f"n_estimators=1 duplicate_K=1 n_jobs=1 "
+    f"max_depth=2 xgb_verbosity=0 xgb_nthread=1",
+    flush=True,
+)
+m = ForestDiffusionModel(
+    X, n_t=2, n_estimators=1, duplicate_K=1, n_jobs=1,
+    model="xgboost", max_depth=2, tree_method="hist", cat_indexes=cat_indexes,
+    verbosity=0, nthread=1,
+)
+joblib.dump((m, meta), "/tmp/fd_model.joblib")
+print("ForestDiffusion train OK")
+
+shutil.copy('/tmp/fd_model.joblib', r'/work/output-Benchmark-trainonly-v1/c3/forestdiffusion/forest-c3-20260510_205205/forestdiffusion_model.joblib')

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