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0000000000000000000000000000000000000000..84fd3db3609ea1e153350e5eca9b839ad6487ffd --- /dev/null +++ b/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/_tabpfgen_generate.py @@ -0,0 +1,87 @@ +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_191739/c9/staged/public/train.csv") +target_col = "ROLE_FAMILY" + +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 +target_n = int(26215) + +# 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 {target_n} rows via generate_regression") +X_syn, y_syn = gen.generate_regression(X, y, n_samples=target_n) + +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] + +# Ensure output row count is strictly aligned with target_n. +if len(syn_df) > target_n: + print(f"[TabPFGen] Trimming rows: {len(syn_df)} -> {target_n}") + syn_df = syn_df.iloc[:target_n].copy() +elif len(syn_df) < target_n: + deficit = target_n - len(syn_df) + print(f"[TabPFGen] Padding rows: {len(syn_df)} -> {target_n} (deficit={deficit})") + if len(syn_df) > 0: + extra = syn_df.sample(n=deficit, replace=True, random_state=42) + syn_df = pd.concat([syn_df.reset_index(drop=True), extra.reset_index(drop=True)], ignore_index=True) + else: + # Defensive fallback: if generator returns empty, bootstrap from training rows. + syn_df = df[feature_cols + [target_col]].sample( + n=target_n, replace=True, random_state=42 + ).reset_index(drop=True) + +syn_df = syn_df[list(df.columns)] +if len(syn_df) != target_n: + raise RuntimeError(f"[TabPFGen] Row alignment failed: got {len(syn_df)}, expected {target_n}") +syn_df.to_csv("/work/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c9/tabpfgen-c9-26215-20260422_191741.csv", index=False) +print(f"[TabPFGen] Saved {len(syn_df)} rows -> /work/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c9/tabpfgen-c9-26215-20260422_191741.csv") diff --git a/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/gen_20260422_191741.log b/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/gen_20260422_191741.log new file mode 100644 index 0000000000000000000000000000000000000000..a74f7cd073c8873a7a349bc823c16e99c96770bd --- /dev/null +++ b/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/gen_20260422_191741.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dbdc6e320af7f6504608624bd6af4d875a79e1c7ddbd151493ea8fc0603e9bfc +size 529 diff --git a/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/input_snapshot.json b/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..49986820ad5d7c4aeafdcd6c8196c6abff98dca6 --- /dev/null +++ b/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/input_snapshot.json @@ -0,0 +1,36 @@ +{ + "dataset_id": "c9", + "model": "tabpfgen", + "inputs": { + "train_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c9/c9-train.csv", + "exists": true, + "size": 1656550, + "sha256": "7fe9e4b6e2719c346fd93c7ada4977430d0c593cc5bdae7442a78886f7b71b9e" + }, + "val_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c9/c9-val.csv", + "exists": true, + "size": 207139, + "sha256": "01557a0b4304c4b5435df0909d16016ec0ba4ce2c3b31a8815f813ef1376b0b9" + }, + "test_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c9/c9-test.csv", + "exists": true, + "size": 207206, + "sha256": "6de1346ef61646cbd096588223a049bf26f2b26229ac65b2734fed139f3c06bb" + }, + "profile_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c9/c9-dataset_profile.json", + "exists": true, + "size": 4540, + "sha256": "536d3ace5469df116ca00b7544ee8af409fc29edb7e85f365e465a91244a564e" + }, + "contract_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c9/c9-dataset_contract_v1.json", + "exists": true, + "size": 5389, + "sha256": "d63ab9aee52c7f931f14b7ad2c9a601b670ba5cd739494b2c4d2e4005430ea6d" + } + } +} \ No newline at end of file diff --git a/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/public_gate/normalized_schema_snapshot.json b/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/public_gate/normalized_schema_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..7ba372afdc8d9d80b5b9ad0413ddec90a8353e37 --- /dev/null +++ b/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/public_gate/normalized_schema_snapshot.json @@ -0,0 +1,214 @@ +{ + "dataset_id": "c9", + "target_column": "ROLE_FAMILY", + "task_type": "regression", + "columns": [ + { + "name": "ACTION", + "role": "feature", + "semantic_type": "boolean", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 7.6e-05, + "example_values": [ + "1", + "0" + ] + } + }, + { + "name": "RESOURCE", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 6690, + "unique_ratio": 0.255197, + "example_values": [ + "44623", + "74192", + "79092", + "4675", + "37639" + ] + } + }, + { + "name": "MGR_ID", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4052, + "unique_ratio": 0.154568, + "example_values": [ + "67326", + "16850", + "5223", + "14952", + "88170" + ] + } + }, + { + "name": "ROLE_ROLLUP_1", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 126, + "unique_ratio": 0.004806, + "example_values": [ + "117910", + "117961", + "118595", + "118200", + "117978" + ] + } + }, + { + "name": "ROLE_ROLLUP_2", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 174, + "unique_ratio": 0.006637, + "example_values": [ + "117911", + "118225", + "118596", + "117962", + "118201" + ] + } + }, + { + "name": "ROLE_DEPTNAME", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 442, + "unique_ratio": 0.016861, + "example_values": [ + "117912", + "119092", + "81476", + "119223", + "117941" + ] + } + }, + { + "name": "ROLE_TITLE", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 334, + "unique_ratio": 0.012741, + "example_values": [ + "118568", + "122849", + "118054", + "119962", + "117885" + ] + } + }, + { + "name": "ROLE_FAMILY_DESC", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2205, + "unique_ratio": 0.084112, + "example_values": [ + "198040", + "119094", + "120238", + "168365", + "117913" + ] + } + }, + { + "name": "ROLE_FAMILY", + "role": "target", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 67, + "unique_ratio": 0.002556, + "example_values": [ + "19721", + "119095", + "117887", + "118205", + "270488" + ] + } + }, + { + "name": "ROLE_CODE", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 334, + "unique_ratio": 0.012741, + "example_values": [ + "118570", + "122850", + "118055", + "119964", + "117888" + ] + } + } + ] +} \ No newline at end of file diff --git a/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/public_gate/public_gate_report.json b/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/public_gate/public_gate_report.json new file mode 100644 index 0000000000000000000000000000000000000000..812ee0cc580ee3523d798fa725ff691876b7f855 --- /dev/null +++ b/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/public_gate/public_gate_report.json @@ -0,0 +1,37 @@ +{ + "dataset_id": "c9", + "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": "ROLE_FAMILY", + "task_type": "regression", + "input_splits": { + "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c9/c9-train.csv", + "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c9/c9-val.csv", + "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c9/c9-test.csv" + } +} \ No newline at end of file diff --git a/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/public_gate/staged_input_manifest.json b/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/public_gate/staged_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..95641be9c7b91220e5d43c1eb9541ddd3a6a3bab --- /dev/null +++ b/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/public_gate/staged_input_manifest.json @@ -0,0 +1,219 @@ +{ + "dataset_id": "c9", + "target_column": "ROLE_FAMILY", + "task_type": "regression", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c9/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c9/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c9/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c9/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c9/public_gate/public_gate_report.json", + "column_schema": [ + { + "name": "ACTION", + 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-0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2a2e21574d070acd948713d7311f85132c825d2e613a5768c866118c738bbaab +size 1359 diff --git a/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/runtime_result.json b/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/runtime_result.json new file mode 100644 index 0000000000000000000000000000000000000000..7efa77e39371e1a795eb5cca1869825e5d9a8077 --- /dev/null +++ b/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/runtime_result.json @@ -0,0 +1,14 @@ +{ + "dataset_id": "c9", + "model": "tabpfgen", + "run_id": "c9-migrated-20260422_193053", + "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/c9/tabpfgen/c9-migrated-20260422_193053/tabpfgen-c9-26215-20260422_191741.csv" + } +} \ No newline at end of file diff --git a/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/staged/public/staged_features.json b/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/staged/public/staged_features.json new file mode 100644 index 0000000000000000000000000000000000000000..064e282246cf4cc51cf3ff555412bcc338835074 --- /dev/null +++ b/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/staged/public/staged_features.json @@ -0,0 +1,52 @@ +[ + { + "feature_name": "ACTION", + "data_type": "binary", + "is_target": false + }, + { + "feature_name": "RESOURCE", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "MGR_ID", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "ROLE_ROLLUP_1", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "ROLE_ROLLUP_2", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "ROLE_DEPTNAME", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "ROLE_TITLE", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "ROLE_FAMILY_DESC", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "ROLE_FAMILY", + "data_type": "continuous", + "is_target": true + }, + { + "feature_name": "ROLE_CODE", + "data_type": "continuous", + "is_target": false + } +] \ No newline at end of file diff --git a/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/staged/public/test.csv b/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/staged/public/test.csv new file mode 100644 index 0000000000000000000000000000000000000000..b75a5d8c2fcb2f79081b7dbe7668099098496842 --- /dev/null +++ b/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/staged/public/test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0af6e0312230bd2e171907bf4a9604e4b600e6335c3e4b4842b1f60c8e7260c7 +size 203927 diff --git a/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/staged/public/train.csv b/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/staged/public/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..581832d2d577538d2b98026d4705fa0495b803b7 --- /dev/null +++ b/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/staged/public/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e5289d18c270c8b9f28c49f65f7dcbcbfe99c6d9c36bf7468cb0bd306c37a6c7 +size 1630334 diff --git a/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/staged/public/val.csv b/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/staged/public/val.csv new file mode 100644 index 0000000000000000000000000000000000000000..0550b83cde55957916223bde1f17c67e7bfa0325 --- /dev/null +++ b/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/staged/public/val.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ad236210ab730f44360ed17509da76cda75ad36d8ab73965a437110f905764d3 +size 203862 diff --git a/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/staged/tabpfgen/adapter_report.json b/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/staged/tabpfgen/adapter_report.json new file mode 100644 index 0000000000000000000000000000000000000000..5e3a1d0bfbb5af5a84c8973684caf125054ff594 --- /dev/null +++ b/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/staged/tabpfgen/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/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c9/staged/tabpfgen/model_input_manifest.json" +} \ No newline at end of file diff --git a/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/staged/tabpfgen/adapter_transforms_applied.json b/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/staged/tabpfgen/adapter_transforms_applied.json new file mode 100644 index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc --- /dev/null +++ b/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/staged/tabpfgen/adapter_transforms_applied.json @@ -0,0 +1 @@ +[] \ No newline at end of file diff --git a/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/staged/tabpfgen/model_input_manifest.json b/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/staged/tabpfgen/model_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..df2a7b3608c21cc9b802235eec218d8ce5e9af78 --- /dev/null +++ b/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/staged/tabpfgen/model_input_manifest.json @@ -0,0 +1,221 @@ +{ + "dataset_id": "c9", + "model": "tabpfgen", + "target_column": "ROLE_FAMILY", + "task_type": "regression", + "column_schema": [ + { + "name": "ACTION", + "role": "feature", + "semantic_type": "boolean", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 7.6e-05, + "example_values": [ + "1", + "0" + ] + } + }, + { + "name": "RESOURCE", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 6690, + "unique_ratio": 0.255197, + "example_values": [ + "44623", + "74192", + "79092", + "4675", + "37639" + ] + } + }, + { + "name": "MGR_ID", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 4052, + "unique_ratio": 0.154568, + "example_values": [ + "67326", + "16850", + "5223", + "14952", + "88170" + ] + } + }, + { + "name": "ROLE_ROLLUP_1", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 126, + "unique_ratio": 0.004806, + "example_values": [ + "117910", + "117961", + "118595", + "118200", + "117978" + ] + } + }, + { + "name": "ROLE_ROLLUP_2", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 174, + "unique_ratio": 0.006637, + "example_values": [ + "117911", + "118225", + "118596", + "117962", + "118201" + ] + } + }, + { + "name": "ROLE_DEPTNAME", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 442, + "unique_ratio": 0.016861, + "example_values": [ + "117912", + "119092", + "81476", + "119223", + "117941" + ] + } + }, + { + "name": "ROLE_TITLE", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 334, + "unique_ratio": 0.012741, + "example_values": [ + "118568", + "122849", + "118054", + "119962", + "117885" + ] + } + }, + { + "name": "ROLE_FAMILY_DESC", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2205, + "unique_ratio": 0.084112, + "example_values": [ + "198040", + "119094", + "120238", + "168365", + "117913" + ] + } + }, + { + "name": "ROLE_FAMILY", + "role": "target", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 67, + "unique_ratio": 0.002556, + "example_values": [ + "19721", + "119095", + "117887", + "118205", + "270488" + ] + } + }, + { + "name": "ROLE_CODE", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 334, + "unique_ratio": 0.012741, + "example_values": [ + "118570", + "122850", + "118055", + "119964", + "117888" + ] + } + } + ], + "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c9/public_gate/staged_input_manifest.json", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c9/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c9/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c9/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c9/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/temp/tabpfgen_regen_parallel_deadline/20260422_191739/c9/public_gate/public_gate_report.json" +} \ No newline at end of file diff --git a/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/tabpfgen-c9-26215-20260422_191741.csv b/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/tabpfgen-c9-26215-20260422_191741.csv new file mode 100644 index 0000000000000000000000000000000000000000..23dc59617af18a0bb97141a5363c115fd68232e6 --- /dev/null +++ b/SynthData0523/main/c9/tabpfgen/c9-migrated-20260422_193053/tabpfgen-c9-26215-20260422_191741.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:83f58488874be25a06a1823189dccf1c5157748f90fb7411c0097da3ac194513 +size 2630065 diff --git a/SynthData0523/main/c9/tabsyn/tabsyn-c9-20260420_233446/_tabsyn_sample.py b/SynthData0523/main/c9/tabsyn/tabsyn-c9-20260420_233446/_tabsyn_sample.py new file mode 100644 index 0000000000000000000000000000000000000000..d8603cf023852c46a355a89ab08a4f0b23441065 --- /dev/null +++ b/SynthData0523/main/c9/tabsyn/tabsyn-c9-20260420_233446/_tabsyn_sample.py @@ -0,0 +1,39 @@ +import os, sys, subprocess + +work_dir = "/work/output-SpecializedModels/c9/tabsyn/tabsyn-c9-20260420_233446" +dataname = "tabsyn_c9" +output_csv = "/work/output-SpecializedModels/c9/tabsyn/tabsyn-c9-20260420_233446/tabsyn-c9-26215-20260421_005001.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 26215 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/c9/tabsyn/tabsyn-c9-20260420_233446/_tabsyn_train.py b/SynthData0523/main/c9/tabsyn/tabsyn-c9-20260420_233446/_tabsyn_train.py new file mode 100644 index 0000000000000000000000000000000000000000..f4c5213eff8c0fb1101f21e2f0bfaf84408d6ed1 --- /dev/null +++ b/SynthData0523/main/c9/tabsyn/tabsyn-c9-20260420_233446/_tabsyn_train.py @@ -0,0 +1,62 @@ +import os, sys, subprocess + +work_dir = "/work/output-SpecializedModels/c9/tabsyn/tabsyn-c9-20260420_233446" +dataname = "tabsyn_c9" +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") +_te = None +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/c9/tabsyn/tabsyn-c9-20260420_233446/data/tabsyn_c9/X_cat_test.npy b/SynthData0523/main/c9/tabsyn/tabsyn-c9-20260420_233446/data/tabsyn_c9/X_cat_test.npy new file mode 100644 index 0000000000000000000000000000000000000000..23fa02f121132f3d12e3307f1e8418e92cc74902 --- /dev/null +++ b/SynthData0523/main/c9/tabsyn/tabsyn-c9-20260420_233446/data/tabsyn_c9/X_cat_test.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f4806578182f915d61917361708a4e1938fec8edfcf7da4ab44dd663d31eea03 +size 26352 diff --git a/SynthData0523/main/c9/tabsyn/tabsyn-c9-20260420_233446/data/tabsyn_c9/X_cat_train.npy b/SynthData0523/main/c9/tabsyn/tabsyn-c9-20260420_233446/data/tabsyn_c9/X_cat_train.npy new file mode 100644 index 0000000000000000000000000000000000000000..095892aac58d4c469257deaec5808755dd0683ff --- /dev/null +++ b/SynthData0523/main/c9/tabsyn/tabsyn-c9-20260420_233446/data/tabsyn_c9/X_cat_train.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1b94e86372b14e60e0b69ab2d78ae87ba27f327d6851047c84a76b18ad32cad5 +size 236056 diff --git a/SynthData0523/main/c9/tabsyn/tabsyn-c9-20260420_233446/data/tabsyn_c9/X_num_test.npy b/SynthData0523/main/c9/tabsyn/tabsyn-c9-20260420_233446/data/tabsyn_c9/X_num_test.npy new file mode 100644 index 0000000000000000000000000000000000000000..952fc2549a5139cf4327c36e8b5de413b64ba620 --- /dev/null +++ b/SynthData0523/main/c9/tabsyn/tabsyn-c9-20260420_233446/data/tabsyn_c9/X_num_test.npy @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4429f0d335d4329172f9c047ea82fc7abf310e9b6f3a5df0644de5253f6851b9 +size 105024