diff --git a/.gitattributes b/.gitattributes index 035b4855a5adfcb98ef0969735e7885777678c66..11e607838cb759654b4fbb7afe6f5b194157c233 100644 --- a/.gitattributes +++ b/.gitattributes @@ -13038,3 +13038,35 @@ SynthData0523/main/n17/tabdiff/tabdiff-n17-20260501_194732/tabular_bundle/pipeli SynthData0523/main/n17/tabdiff/tabdiff-n17-20260501_194732/tabular_bundle/pipeline_n17/y_test.npy filter=lfs diff=lfs merge=lfs -text SynthData0523/main/n17/tabdiff/tabdiff-n17-20260501_194732/tabular_bundle/pipeline_n17/y_train.npy filter=lfs diff=lfs merge=lfs -text SynthData0523/main/n17/tabdiff/tabdiff-n17-20260501_194732/tabular_bundle/pipeline_n17/y_val.npy filter=lfs diff=lfs merge=lfs -text +SynthData0523/main/n17/tabdiff/tabdiff-n17-20260501_194732/train_20260501_194732.log filter=lfs diff=lfs merge=lfs -text +SynthData0523/main/n17/tabpfgen/n17-migrated-20260422_183752/gen_20260422_070321.log filter=lfs diff=lfs merge=lfs -text 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0000000000000000000000000000000000000000..d3f519787ec59b64e20ac468ea46dc2196bc4352 --- /dev/null +++ b/SynthData0523/main/n17/tabdiff/tabdiff-n17-20260501_194732/train_20260501_194732.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:70af5705c2dbc5bac63ad224d9e530867d4e40fb4999c6feb2c1ae3c7a5dc8a8 +size 445316 diff --git a/SynthData0523/main/n17/tabpfgen/n17-migrated-20260422_183752/_tabpfgen_generate.py b/SynthData0523/main/n17/tabpfgen/n17-migrated-20260422_183752/_tabpfgen_generate.py new file mode 100644 index 0000000000000000000000000000000000000000..f4b75c848fe865988850ce554e59c9cedd043372 --- /dev/null +++ b/SynthData0523/main/n17/tabpfgen/n17-migrated-20260422_183752/_tabpfgen_generate.py @@ -0,0 +1,68 @@ +import numpy as np +import pandas as pd +import json +from tabpfgen import TabPFGen + +df = pd.read_csv("/work/temp/tabpfgen_regen_parallel_deadline/20260422_070318/n17/staged/public/train.csv") +target_col = "class" + +feature_cols = [c for c in df.columns if c != target_col] + +# --- Label-encode categorical / object columns --- +cat_encodings = {} # col -> list of unique values (index = code) +for col in feature_cols: + if df[col].dtype == object or str(df[col].dtype) == 'category': + cats = sorted(df[col].dropna().unique().tolist(), key=str) + cat_map = {v: i for i, v in enumerate(cats)} + df[col] = df[col].map(cat_map).astype(float) + cat_encodings[col] = cats + print(f"[TabPFGen] Label-encoded '{col}' ({len(cats)} categories)") + +# Encode target if categorical +target_cats = None +if df[target_col].dtype == object or str(df[target_col].dtype) == 'category': + cats = sorted(df[target_col].dropna().unique().tolist(), key=str) + t_map = {v: i for i, v in enumerate(cats)} + df[target_col] = df[target_col].map(t_map).astype(float) + target_cats = cats + print(f"[TabPFGen] Label-encoded target '{target_col}' ({len(cats)} categories)") + +X = df[feature_cols].values.astype(np.float32) +y = df[target_col].values + +# Handle NaN +for i in range(X.shape[1]): + col_vals = X[:, i] + mask = np.isnan(col_vals) + if mask.any(): + mean_val = np.nanmean(col_vals) + X[mask, i] = mean_val if not np.isnan(mean_val) else 0.0 + +gen = TabPFGen( + n_sgld_steps=1000, + sgld_step_size=0.01, + sgld_noise_scale=0.01, + device="auto", +) + +print(f"[TabPFGen] Generating 11600 rows via generate_regression") +X_syn, y_syn = gen.generate_regression(X, y, n_samples=11600) + +syn_df = pd.DataFrame(X_syn, columns=feature_cols) +syn_df[target_col] = y_syn + +# --- Inverse label-encoding for categorical columns --- +for col, cats in cat_encodings.items(): + # Round to nearest integer index, clamp to valid range + codes = np.round(syn_df[col].values).astype(int) + codes = np.clip(codes, 0, len(cats) - 1) + syn_df[col] = [cats[c] for c in codes] + +if target_cats is not None: + codes = np.round(syn_df[target_col].values).astype(int) + codes = np.clip(codes, 0, len(target_cats) - 1) + syn_df[target_col] = [target_cats[c] for c in codes] + +syn_df = syn_df[list(df.columns)] +syn_df.to_csv("/work/temp/tabpfgen_regen_parallel_deadline/20260422_070318/n17/tabpfgen-n17-11600-20260422_070321.csv", index=False) +print(f"[TabPFGen] Saved {len(syn_df)} rows -> /work/temp/tabpfgen_regen_parallel_deadline/20260422_070318/n17/tabpfgen-n17-11600-20260422_070321.csv") diff --git a/SynthData0523/main/n17/tabpfgen/n17-migrated-20260422_183752/gen_20260422_070321.log b/SynthData0523/main/n17/tabpfgen/n17-migrated-20260422_183752/gen_20260422_070321.log new file mode 100644 index 0000000000000000000000000000000000000000..1d98128ff8fd13faf90908e69cafa53fef8e9151 --- /dev/null +++ b/SynthData0523/main/n17/tabpfgen/n17-migrated-20260422_183752/gen_20260422_070321.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bf5385224c54b875af8f6f297e6405ea355bc39e6b74a1b5ea7d0b9fca43d1cb +size 479 diff --git a/SynthData0523/main/n17/tabpfgen/n17-migrated-20260422_183752/input_snapshot.json b/SynthData0523/main/n17/tabpfgen/n17-migrated-20260422_183752/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..e2428c3a20b039789dc3dc8f97c66ea344752731 --- /dev/null +++ b/SynthData0523/main/n17/tabpfgen/n17-migrated-20260422_183752/input_snapshot.json @@ -0,0 +1,36 @@ +{ + "dataset_id": "n17", + "model": "tabpfgen", + "inputs": { + "train_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n17/n17-train.csv", + "exists": true, + "size": 319108, + "sha256": "99cb629d6e58372a6cbfe396c89994cfb68d279d18ae29e954faeb7b1af8ffce" + }, + "val_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n17/n17-val.csv", + "exists": true, + "size": 39916, + "sha256": "7e6d4456b11d527ca043a524c39ddd525a8f746ed01b5ebd6606e4910c188ab8" + }, + "test_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/n17/n17-test.csv", + "exists": true, + "size": 40033, + "sha256": 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a/SynthData0523/main/n17/tabpfgen/n17-migrated-20260422_183752/runner.log b/SynthData0523/main/n17/tabpfgen/n17-migrated-20260422_183752/runner.log new file mode 100644 index 0000000000000000000000000000000000000000..6d0d949708696d98695f6da6ab457c9e825ea652 --- /dev/null +++ b/SynthData0523/main/n17/tabpfgen/n17-migrated-20260422_183752/runner.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:13711a8cabfd4d7ce37014f90824fb37bd5133d94af5491a8f63da6caa2bdeff +size 1316 diff --git a/SynthData0523/main/n17/tabpfgen/n17-migrated-20260422_183752/runtime_result.json b/SynthData0523/main/n17/tabpfgen/n17-migrated-20260422_183752/runtime_result.json new file mode 100644 index 0000000000000000000000000000000000000000..9b0da829ca128beea497a07cdab5858967aa68ba --- /dev/null +++ b/SynthData0523/main/n17/tabpfgen/n17-migrated-20260422_183752/runtime_result.json @@ -0,0 +1,14 @@ +{ + "dataset_id": "n17", + "model": "tabpfgen", + "run_id": "n17-migrated-20260422_183752", + "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/n17/tabpfgen/n17-migrated-20260422_183752/tabpfgen-n17-11600-20260422_070321.csv" + } +} \ No newline at end of file diff --git a/SynthData0523/main/n17/tabpfgen/n17-migrated-20260422_183752/staged/public/staged_features.json b/SynthData0523/main/n17/tabpfgen/n17-migrated-20260422_183752/staged/public/staged_features.json new file mode 100644 index 0000000000000000000000000000000000000000..02b5e1618df3226dad901a37fe1c2202697e9b0e --- /dev/null +++ b/SynthData0523/main/n17/tabpfgen/n17-migrated-20260422_183752/staged/public/staged_features.json @@ -0,0 +1,52 @@ +[ + { + "feature_name": "time", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "attribute2", + "data_type": "continuous", + 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b/SynthData0523/main/n17/tabpfgen/n17-migrated-20260422_183752/staged/public/val.csv new file mode 100644 index 0000000000000000000000000000000000000000..e2d18f2309e001b552b2226bf0500d4eb8cb8bc8 --- /dev/null +++ b/SynthData0523/main/n17/tabpfgen/n17-migrated-20260422_183752/staged/public/val.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:836ea0bab67a27cd05e1bd0251ccb57666f70fa3df26d42fe4ecb971b84d0125 +size 38466 diff --git a/SynthData0523/main/n17/tabpfgen/n17-migrated-20260422_183752/staged/tabpfgen/adapter_report.json b/SynthData0523/main/n17/tabpfgen/n17-migrated-20260422_183752/staged/tabpfgen/adapter_report.json new file mode 100644 index 0000000000000000000000000000000000000000..102c7ff4dac7338a83fe9941a32a3b1bd7dce64e --- /dev/null +++ b/SynthData0523/main/n17/tabpfgen/n17-migrated-20260422_183752/staged/tabpfgen/adapter_report.json @@ -0,0 +1,7 @@ +{ + "adapter_ready_status": "pass", + "adapter_fail_reason_code": null, + "adapter_fail_detail": 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"train_csv": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_070318/n17/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_070318/n17/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_070318/n17/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_070318/n17/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_070318/n17/public_gate/public_gate_report.json" +} \ No newline at end of file diff --git a/SynthData0523/main/n17/tabpfgen/n17-migrated-20260422_183752/tabpfgen-n17-11600-20260422_070321.csv b/SynthData0523/main/n17/tabpfgen/n17-migrated-20260422_183752/tabpfgen-n17-11600-20260422_070321.csv new file mode 100644 index 0000000000000000000000000000000000000000..51059527ecb65f814cd58a66dbeb11e0b4ac1060 --- /dev/null +++ b/SynthData0523/main/n17/tabpfgen/n17-migrated-20260422_183752/tabpfgen-n17-11600-20260422_070321.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2dd8428f21d89167ee8f3822a9730c212a02b4be8f15c7ec729a89b53bc5a799 +size 1085684 diff --git a/SynthData0523/main/n17/tabsyn/tabsyn-n17-20260427_025147/_tabsyn_sample.py b/SynthData0523/main/n17/tabsyn/tabsyn-n17-20260427_025147/_tabsyn_sample.py new file mode 100644 index 0000000000000000000000000000000000000000..ad08c884d857e1b6024ae0b68336b021a5420bb1 --- /dev/null +++ b/SynthData0523/main/n17/tabsyn/tabsyn-n17-20260427_025147/_tabsyn_sample.py @@ -0,0 +1,39 @@ +import os, sys, subprocess + +work_dir = "/work/output-SpecializedModels/n17/tabsyn/tabsyn-n17-20260427_025147" +dataname = "tabsyn_n17" +output_csv = "/work/output-SpecializedModels/n17/tabsyn/tabsyn-n17-20260427_025147/tabsyn-n17-11600-20260427_025208.csv" +tabsyn_root = "/workspace/tabsyn" + +assert os.path.exists(tabsyn_root), f"TabSyn source not mounted: {tabsyn_root}" + +old = os.environ.get("PYTHONPATH", "") +os.environ["PYTHONPATH"] = tabsyn_root + (os.pathsep + old if old else "") +sys.path.insert(0, tabsyn_root) + +os.chdir(tabsyn_root) + +# Ensure data symlink exists +data_link = os.path.join(tabsyn_root, "data", dataname) +data_src = os.path.join(work_dir, "data", dataname) +os.makedirs(os.path.join(tabsyn_root, "data"), exist_ok=True) +if os.path.exists(data_link): + os.remove(data_link) +os.symlink(data_src, data_link) + +print(f"[TabSyn] Sampling 11600 rows") +env = os.environ.copy() +env.setdefault("TABSYN_RESUME", "1") +ret = subprocess.run( + [sys.executable, "main.py", + "--dataname", dataname, + "--mode", "sample", + "--method", "tabsyn", + "--gpu", "0", + "--save_path", output_csv], + cwd=tabsyn_root, + env=env +) +if ret.returncode != 0: + sys.exit(ret.returncode) +print(f"[TabSyn] Saved -> {output_csv}") diff --git a/SynthData0523/main/n17/tabsyn/tabsyn-n17-20260427_025147/_tabsyn_train.py b/SynthData0523/main/n17/tabsyn/tabsyn-n17-20260427_025147/_tabsyn_train.py new file mode 100644 index 0000000000000000000000000000000000000000..863b39a85c1d3c27bf52341bd43760baca8560a8 --- /dev/null +++ b/SynthData0523/main/n17/tabsyn/tabsyn-n17-20260427_025147/_tabsyn_train.py @@ -0,0 +1,63 @@ +import os, sys, subprocess + +work_dir = "/work/output-SpecializedModels/n17/tabsyn/tabsyn-n17-20260427_025147" +dataname = "tabsyn_n17" +tabsyn_root = "/workspace/tabsyn" + +assert os.path.exists(tabsyn_root), f"TabSyn source not mounted: {tabsyn_root}" + +old = os.environ.get("PYTHONPATH", "") +os.environ["PYTHONPATH"] = tabsyn_root + (os.pathsep + old if old else "") +sys.path.insert(0, tabsyn_root) + +os.chdir(tabsyn_root) + +# Symlink data dir into TabSyn data/ +data_link = os.path.join(tabsyn_root, "data", dataname) +data_src = os.path.join(work_dir, "data", dataname) +os.makedirs(os.path.join(tabsyn_root, "data"), exist_ok=True) +if os.path.exists(data_link): + os.remove(data_link) +os.symlink(data_src, data_link) + +env = os.environ.copy() +env.setdefault("TABSYN_RESUME", "1") +env.setdefault("TABSYN_VAE_BATCH_SIZE", "1024") +_te = 1 +if _te is not None: + env["TABSYN_VAE_EPOCHS"] = str(_te) + env["TABSYN_DIFFUSION_MAX_EPOCHS"] = str(max(_te + 1, 2)) + +# Data preprocessing is done on the host side (_prepare_data_dir) +# which creates .npy files, train/test CSVs, and info.json + +# Step 1: Train VAE (produces latent embeddings) +print(f"[TabSyn] Step 1/2: Training VAE in {tabsyn_root}, dataname={dataname}") +ret = subprocess.run( + [sys.executable, "main.py", + "--dataname", dataname, + "--mode", "train", + "--method", "vae", + "--gpu", "0"], + cwd=tabsyn_root, + env=env +) +if ret.returncode != 0: + print("[TabSyn] VAE training failed") + sys.exit(ret.returncode) + +# Step 2: Train diffusion model on latent space +print(f"[TabSyn] Step 2/2: Training diffusion model") +ret = subprocess.run( + [sys.executable, "main.py", + "--dataname", dataname, + "--mode", "train", + "--method", "tabsyn", + "--gpu", "0"], + cwd=tabsyn_root, + env=env +) +if ret.returncode != 0: + print("[TabSyn] Diffusion training failed") + sys.exit(ret.returncode) +print("[TabSyn] Training complete (VAE + Diffusion)") diff --git a/SynthData0523/main/n17/tabsyn/tabsyn-n17-20260427_025147/data/tabsyn_n17/X_cat_test.npy b/SynthData0523/main/n17/tabsyn/tabsyn-n17-20260427_025147/data/tabsyn_n17/X_cat_test.npy new file mode 100644 index 0000000000000000000000000000000000000000..29f83feb4c9da23628a00297575be78927a98eaf --- /dev/null +++ b/SynthData0523/main/n17/tabsyn/tabsyn-n17-20260427_025147/data/tabsyn_n17/X_cat_test.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:de9ff993887498884d64fb519047b34c91490bbaf7ca2e06b5d61a9ad03a289e +size 128 diff --git a/SynthData0523/main/n17/tabsyn/tabsyn-n17-20260427_025147/data/tabsyn_n17/X_cat_train.npy b/SynthData0523/main/n17/tabsyn/tabsyn-n17-20260427_025147/data/tabsyn_n17/X_cat_train.npy new file mode 100644 index 0000000000000000000000000000000000000000..29f83feb4c9da23628a00297575be78927a98eaf --- /dev/null +++ b/SynthData0523/main/n17/tabsyn/tabsyn-n17-20260427_025147/data/tabsyn_n17/X_cat_train.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:de9ff993887498884d64fb519047b34c91490bbaf7ca2e06b5d61a9ad03a289e +size 128 diff --git a/SynthData0523/main/n17/tabsyn/tabsyn-n17-20260427_025147/data/tabsyn_n17/X_num_test.npy b/SynthData0523/main/n17/tabsyn/tabsyn-n17-20260427_025147/data/tabsyn_n17/X_num_test.npy new file mode 100644 index 0000000000000000000000000000000000000000..86afbfdcec310cfc4db889a60c3015ad881a302c --- /dev/null +++ b/SynthData0523/main/n17/tabsyn/tabsyn-n17-20260427_025147/data/tabsyn_n17/X_num_test.npy @@ -0,0 +1,3 @@ +version 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b/SynthData0523/main/n17/tabsyn/tabsyn-n17-20260427_025147/synthetic/tabsyn_n17/test.csv new file mode 100644 index 0000000000000000000000000000000000000000..cc1d1b80e322f177d5a6b2346099ca319e4ff81e --- /dev/null +++ b/SynthData0523/main/n17/tabsyn/tabsyn-n17-20260427_025147/synthetic/tabsyn_n17/test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:373383578478c8df244051d26a774f0126f89a64fbb8b53842ed634266dc32fa +size 307507 diff --git a/SynthData0523/main/n17/tabsyn/tabsyn-n17-20260427_025147/tabsyn-n17-11600-20260427_025208.csv b/SynthData0523/main/n17/tabsyn/tabsyn-n17-20260427_025147/tabsyn-n17-11600-20260427_025208.csv new file mode 100644 index 0000000000000000000000000000000000000000..ef7fff9162fbb3749fde31d9ab62fe323cddfc17 --- /dev/null +++ b/SynthData0523/main/n17/tabsyn/tabsyn-n17-20260427_025147/tabsyn-n17-11600-20260427_025208.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cf3f6671ebc43fdfa62760bda5cc0e682f8ddc5ad3fb4e581125039fb14c34cf +size 566885 diff --git a/SynthData0523/main/n17/tabsyn/tabsyn-n17-20260427_025147/train_20260427_025148.log b/SynthData0523/main/n17/tabsyn/tabsyn-n17-20260427_025147/train_20260427_025148.log new file mode 100644 index 0000000000000000000000000000000000000000..08e5faa1726a2cb739178b702682d6f4d1ec55bc --- /dev/null +++ b/SynthData0523/main/n17/tabsyn/tabsyn-n17-20260427_025147/train_20260427_025148.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:312cf14ebc65fb12b2b80c61b8634412c022607df54dac8e8394982f93e15814 +size 3344 diff --git a/SynthData0523/main/n17/tvae/tvae-n17-20260328_054240/_tvae_generate.py b/SynthData0523/main/n17/tvae/tvae-n17-20260328_054240/_tvae_generate.py new file mode 100644 index 0000000000000000000000000000000000000000..bcea2160fba365c3a10f1d08026da06dfd56b900 --- /dev/null +++ b/SynthData0523/main/n17/tvae/tvae-n17-20260328_054240/_tvae_generate.py @@ -0,0 +1,5 @@ +from ctgan.synthesizers.tvae import TVAE +model = TVAE.load("/work/output-SpecializedModels/n17/tvae/tvae-n17-20260328_054240/models_300epochs/tvae_300epochs.pt") +samples = model.sample(11600) +samples.to_csv("/work/output-SpecializedModels/n17/tvae/tvae-n17-20260328_054240/tvae-n17-11600-20260330_070841.csv", index=False) +print(f"[TVAE] Generated 11600 rows -> /work/output-SpecializedModels/n17/tvae/tvae-n17-20260328_054240/tvae-n17-11600-20260330_070841.csv") diff --git a/SynthData0523/main/n17/tvae/tvae-n17-20260328_054240/_tvae_train.py b/SynthData0523/main/n17/tvae/tvae-n17-20260328_054240/_tvae_train.py new file mode 100644 index 0000000000000000000000000000000000000000..8c5171720d3853e79e45e744d68899c50a497cf2 --- /dev/null +++ b/SynthData0523/main/n17/tvae/tvae-n17-20260328_054240/_tvae_train.py @@ -0,0 +1,16 @@ +import json, sys +import pandas as pd +from ctgan.data import read_csv +from ctgan.synthesizers.tvae import TVAE + +csv_path = "/work/output-SpecializedModels/n17/tvae/tvae-n17-20260328_054240/staged/public/train.csv" +meta_path = "/work/output-SpecializedModels/n17/tvae/tvae-n17-20260328_054240/tvae_metadata.json" +save_path = "/work/output-SpecializedModels/n17/tvae/tvae-n17-20260328_054240/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}") diff --git a/SynthData0523/main/n17/tvae/tvae-n17-20260328_054240/gen_20260328_100702.log b/SynthData0523/main/n17/tvae/tvae-n17-20260328_054240/gen_20260328_100702.log new file mode 100644 index 0000000000000000000000000000000000000000..7b23abc3f0e795c0f053aded2763a976c766b169 --- /dev/null +++ b/SynthData0523/main/n17/tvae/tvae-n17-20260328_054240/gen_20260328_100702.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:547986faf9651ac743a38420481ce3469c8e11ed8b74dc0392e2e9aeef5019b5 +size 129 diff --git a/SynthData0523/main/n17/tvae/tvae-n17-20260328_054240/gen_20260330_070841.log b/SynthData0523/main/n17/tvae/tvae-n17-20260328_054240/gen_20260330_070841.log new file mode 100644 index 0000000000000000000000000000000000000000..3dd7baf6c18c3e8eaca69fc83964d8afdbbef16d --- /dev/null +++ b/SynthData0523/main/n17/tvae/tvae-n17-20260328_054240/gen_20260330_070841.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2d4b51b75d88a95546f74e51ece66ce73d7564bfec6f30fb63bfacbd8c971f8b +size 131 diff --git a/SynthData0523/main/n17/tvae/tvae-n17-20260328_054240/input_snapshot.json b/SynthData0523/main/n17/tvae/tvae-n17-20260328_054240/input_snapshot.json new file mode 100644 index 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