Resume SynthData0523 main/c20 batch 6

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SynthData0523/main/c20/tvae/tvae-c20-20260320_070116/_tvae_generate.py

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+from ctgan.synthesizers.tvae import TVAE
+model = TVAE.load("/work/output-SpecializedModels/c20/tvae/tvae-c20-20260320_070116/models_300epochs/tvae_300epochs.pt")
+samples = model.sample(35855)
+samples.to_csv("/work/output-SpecializedModels/c20/tvae/tvae-c20-20260320_070116/tvae-c20-35855-20260330_065500.csv", index=False)
+print(f"[TVAE] Generated 35855 rows -> /work/output-SpecializedModels/c20/tvae/tvae-c20-20260320_070116/tvae-c20-35855-20260330_065500.csv")

SynthData0523/main/c20/tvae/tvae-c20-20260320_070116/_tvae_train.py

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+import json, sys
+import pandas as pd
+from ctgan.data import read_csv
+from ctgan.synthesizers.tvae import TVAE
+
+csv_path = "/work/DatasetNew/c20/c20-train.csv"
+meta_path = "/work/output-SpecializedModels/c20/tvae/tvae-c20-20260320_070116/tvae_metadata.json"
+save_path = "/work/output-SpecializedModels/c20/tvae/tvae-c20-20260320_070116/models_300epochs/tvae_300epochs.pt"
+epochs = 300
+
+data, discrete_columns = read_csv(csv_path, meta_path, header=True, discrete=None)
+print(f"[TVAE] Training on {len(data)} rows, {len(data.columns)} cols, epochs={epochs}")
+model = TVAE(epochs=epochs, batch_size=500)
+model.fit(data, discrete_columns)
+model.save(save_path)
+print(f"[TVAE] Model saved -> {save_path}")

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+  "model": "tvae",
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+}

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+    "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c20/c20-test.csv"
+  }
+}

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