diff --git a/syntheticSuccess/c6/arf/arf-c6-20260422_055912/_arf_generate.py b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/_arf_generate.py new file mode 100644 index 0000000000000000000000000000000000000000..9bbd5682615880cafb58547a8b2cce5c4389baf4 --- /dev/null +++ b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/_arf_generate.py @@ -0,0 +1,23 @@ +import pickle +import pandas as pd + +n_target = int(7636) +with open("/work/output-SpecializedModels/c6/arf/arf-c6-20260422_055912/arf_model.pkl", "rb") as f: + model = pickle.load(f) +syn = model.forge(n=n_target) +syn = syn.reset_index(drop=True) +if len(syn) > n_target: + syn = syn.iloc[:n_target] +elif len(syn) < n_target: + parts = [syn] + tries = 0 + while sum(len(p) for p in parts) < n_target and tries < 64: + tries += 1 + need = n_target - sum(len(p) for p in parts) + chunk = model.forge(n=max(need, 1)).reset_index(drop=True) + if len(chunk) == 0: + break + parts.append(chunk) + syn = pd.concat(parts, ignore_index=True).iloc[:n_target] +syn.to_csv("/work/output-SpecializedModels/c6/arf/arf-c6-20260422_055912/arf-c6-7636-20260422_060120.csv", index=False) +print(f"[ARF] Generated {len(syn)} rows (requested {n_target}) -> /work/output-SpecializedModels/c6/arf/arf-c6-20260422_055912/arf-c6-7636-20260422_060120.csv") diff --git a/syntheticSuccess/c6/arf/arf-c6-20260422_055912/_arf_train.py b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/_arf_train.py new file mode 100644 index 0000000000000000000000000000000000000000..790fc9c830a5eb9ed79bba3713678483381ce874 --- /dev/null +++ b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/_arf_train.py @@ -0,0 +1,37 @@ +import pickle +import numpy as np +import pandas as pd +from arfpy import arf + +def _sanitize_for_arf(df: pd.DataFrame) -> pd.DataFrame: + """缓解 forge 阶段 scipy.stats.truncnorm / 除零：处理 inf、NaN 与极端尾部。""" + df = df.replace([np.inf, -np.inf], np.nan) + df = df.dropna(axis=1, how="all") + for col in df.select_dtypes(include=[np.number]).columns: + med = df[col].median() + if pd.isna(med): + med = 0.0 + df[col] = df[col].fillna(med) + nu = int(df[col].nunique(dropna=True)) + if nu <= 1: + continue + lo, hi = df[col].quantile(0.001), df[col].quantile(0.999) + if pd.notna(lo) and pd.notna(hi) and lo < hi: + df[col] = df[col].clip(lo, hi) + return df + +df = pd.read_csv("/work/output-SpecializedModels/c6/arf/arf-c6-20260422_055912/staged/public/train.csv") +df = _sanitize_for_arf(df) +print(f"[ARF] Training on {len(df)} rows, {len(df.columns)} cols") + +model = arf.arf(x=df) +if hasattr(model, "fit"): + model.fit() +elif hasattr(model, "forde"): + model.forde() +else: + raise RuntimeError("arfpy API: no fit() / forde()") + +with open("/work/output-SpecializedModels/c6/arf/arf-c6-20260422_055912/arf_model.pkl", "wb") as f: + pickle.dump(model, f) +print(f"[ARF] Model saved -> /work/output-SpecializedModels/c6/arf/arf-c6-20260422_055912/arf_model.pkl") diff --git a/syntheticSuccess/c6/arf/arf-c6-20260422_055912/arf-c6-7636-20260422_060120.csv b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/arf-c6-7636-20260422_060120.csv new file mode 100644 index 0000000000000000000000000000000000000000..1a931d3442e295e24fda107b31bebd14bba49dc7 --- /dev/null +++ b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/arf-c6-7636-20260422_060120.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0b019847524a7e9dcb8902d308b48a552a83b99683e7e60027fbad9852ad0fe3 +size 1102517 diff --git a/syntheticSuccess/c6/arf/arf-c6-20260422_055912/arf_model.pkl b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/arf_model.pkl new file mode 100644 index 0000000000000000000000000000000000000000..e3eb5e888cebbfca77a59232ace875cd5b268030 --- /dev/null +++ b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/arf_model.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:305c25ca33e81129d5fa7eb09eb315f78cb0f71835f6dd49930ad5b0c0e4b90e +size 24861828 diff --git a/syntheticSuccess/c6/arf/arf-c6-20260422_055912/gen_20260422_060120.log b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/gen_20260422_060120.log new file mode 100644 index 0000000000000000000000000000000000000000..aba23b9c0741b3b8c3d456aeda8f822691c23582 --- /dev/null +++ b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/gen_20260422_060120.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:baafbab42422c39eb0b2bdeea60a2a5705952a6945683a21985c3e822c0e1754 +size 1719 diff --git a/syntheticSuccess/c6/arf/arf-c6-20260422_055912/input_snapshot.json b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..165b543a77e5b9a8f79f31fdf96a244bad6f72bf --- /dev/null +++ b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/input_snapshot.json @@ -0,0 +1,36 @@ +{ + "dataset_id": "c6", + "model": "arf", + "inputs": { + "train_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c6/c6-train.csv", + "exists": true, + "size": 849500, + "sha256": "7d8f85a52de0e63e292778c26cb06223383b366c589d4226c3de68b111ba5272" + }, + "val_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c6/c6-val.csv", + "exists": true, + "size": 108137, + "sha256": "9ede9f1e2036e743d822e8ed8d7b5e1050159e8fc7b402b758a294f7a14528fe" + }, + "test_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c6/c6-test.csv", + "exists": true, + "size": 107696, + "sha256": "d28b60b361526450f0c203ddf50498854cb66ad5c1978516a99c265f529f8e4f" + }, + "profile_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c6/c6-dataset_profile.json", + "exists": true, + "size": 4145, + "sha256": "70c4d3f4f544b9bff7543f502136d9b1403d8589ad5ef0a9695842d8ef9d5185" + }, + "contract_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c6/c6-dataset_contract_v1.json", + "exists": true, + "size": 4740, + "sha256": "602750e8159221cf97836d44d530098411b5f2cd6fc47c06776171da79d06593" + } + } +} \ No newline at end of file diff --git a/syntheticSuccess/c6/arf/arf-c6-20260422_055912/public_gate/normalized_schema_snapshot.json b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/public_gate/normalized_schema_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..62de672c6242a8fe33594746bc19ea183e203ce7 --- /dev/null +++ b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/public_gate/normalized_schema_snapshot.json @@ -0,0 +1,169 @@ +{ + "dataset_id": "c6", + "target_column": "Type of Answer", + "task_type": "classification", + "columns": [ + { + "name": "Student ID", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 367, + "unique_ratio": 0.048062, + "example_values": [ + "473", + "351", + "967", + "1557", + "394" + ] + } + }, + { + "name": "Student Country", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 8, + "unique_ratio": 0.001048, + "example_values": [ + "Portugal", + "Italy", + "Lithuania", + "Slovenia", + "Ireland" + ] + } + }, + { + "name": "Question ID", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 796, + "unique_ratio": 0.104243, + "example_values": [ + "346", + "796", + "453", + "87", + "325" + ] + } + }, + { + "name": "Type of Answer", + "role": "target", + "semantic_type": "boolean", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000262, + "example_values": [ + "0", + "1" + ] + } + }, + { + "name": "Question Level", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000262, + "example_values": [ + "Advanced", + "Basic" + ] + } + }, + { + "name": "Topic", + "role": "feature", + "semantic_type": "text", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "keep_raw", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 14, + "unique_ratio": 0.001833, + "example_values": [ + "Complex Numbers", + "Fundamental Mathematics", + "Linear Algebra", + "Real Functions of a single variable", + "Analytic Geometry" + ] + } + }, + { + "name": "Subtopic", + "role": "feature", + "semantic_type": "text", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "keep_raw", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 24, + "unique_ratio": 0.003143, + "example_values": [ + "Complex Numbers", + "Algebraic expressions, Equations, and Inequalities", + "Vector Spaces", + "Limits and Continuity", + "Linear Transformations" + ] + } + }, + { + "name": "Keywords", + "role": "feature", + "semantic_type": "text", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "keep_raw", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 360, + "unique_ratio": 0.047145, + "example_values": [ + "Imaginary part,Modulus of a complex number,Operations with complex numbers,Conjugate number,Real part", + "Logarithmic function,Exponential function,Simplify expressions", + "Linear independence,Span,Linear dependence", + "Indeterminate forms,Limits", + "Range,Kernel" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticSuccess/c6/arf/arf-c6-20260422_055912/public_gate/public_gate_report.json b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/public_gate/public_gate_report.json new file mode 100644 index 0000000000000000000000000000000000000000..68d5e4a7e5533d3434a96c463bb1367c9d25256e --- /dev/null +++ b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/public_gate/public_gate_report.json @@ -0,0 +1,37 @@ +{ + "dataset_id": "c6", + "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": "Type of Answer", + "task_type": "classification", + "input_splits": { + "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c6/c6-train.csv", + "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c6/c6-val.csv", + "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c6/c6-test.csv" + } +} \ No newline at end of file diff --git a/syntheticSuccess/c6/arf/arf-c6-20260422_055912/public_gate/staged_input_manifest.json b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/public_gate/staged_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2d91e2ad8567b11f0b5e9f678080f8c309c4d414 --- /dev/null +++ b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/public_gate/staged_input_manifest.json @@ -0,0 +1,174 @@ +{ + "dataset_id": "c6", + "target_column": "Type of Answer", + "task_type": "classification", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/arf/arf-c6-20260422_055912/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/arf/arf-c6-20260422_055912/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/arf/arf-c6-20260422_055912/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/arf/arf-c6-20260422_055912/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/arf/arf-c6-20260422_055912/public_gate/public_gate_report.json", + "column_schema": [ + { + "name": "Student ID", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 367, + "unique_ratio": 0.048062, + "example_values": [ + "473", + "351", + "967", + "1557", + "394" + ] + } + }, + { + "name": "Student Country", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 8, + "unique_ratio": 0.001048, + "example_values": [ + "Portugal", + "Italy", + "Lithuania", + "Slovenia", + "Ireland" + ] + } + }, + { + "name": "Question ID", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 796, + "unique_ratio": 0.104243, + "example_values": [ + "346", + "796", + "453", + "87", + "325" + ] + } + }, + { + "name": "Type of Answer", + "role": "target", + "semantic_type": "boolean", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000262, + "example_values": [ + "0", + "1" + ] + } + }, + { + "name": "Question Level", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000262, + "example_values": [ + "Advanced", + "Basic" + ] + } + }, + { + "name": "Topic", + "role": "feature", + "semantic_type": "text", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "keep_raw", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 14, + "unique_ratio": 0.001833, + "example_values": [ + "Complex Numbers", + "Fundamental Mathematics", + "Linear Algebra", + "Real Functions of a single variable", + "Analytic Geometry" + ] + } + }, + { + "name": "Subtopic", + "role": "feature", + "semantic_type": "text", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "keep_raw", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 24, + "unique_ratio": 0.003143, + "example_values": [ + "Complex Numbers", + "Algebraic expressions, Equations, and Inequalities", + "Vector Spaces", + "Limits and Continuity", + "Linear Transformations" + ] + } + }, + { + "name": "Keywords", + "role": "feature", + "semantic_type": "text", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "keep_raw", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 360, + "unique_ratio": 0.047145, + "example_values": [ + "Imaginary part,Modulus of a complex number,Operations with complex numbers,Conjugate number,Real part", + "Logarithmic function,Exponential function,Simplify expressions", + "Linear independence,Span,Linear dependence", + "Indeterminate forms,Limits", + "Range,Kernel" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticSuccess/c6/arf/arf-c6-20260422_055912/runtime_result.json b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/runtime_result.json new file mode 100644 index 0000000000000000000000000000000000000000..af87f21066af8eca2e62d6ca02a50b76aa9d9cc6 --- /dev/null +++ b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/runtime_result.json @@ -0,0 +1,15 @@ +{ + "dataset_id": "c6", + "model": "arf", + "run_id": "arf-c6-20260422_055912", + "public_gate_status": "pass", + "adapter_ready_status": "pass", + "train_status": "success", + "generate_status": "success", + "reason_code": null, + "reason_detail": null, + "artifacts": { + "synthetic_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/arf/arf-c6-20260422_055912/arf-c6-7636-20260422_060120.csv", + "model_path": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/arf/arf-c6-20260422_055912/arf_model.pkl" + } +} \ No newline at end of file diff --git a/syntheticSuccess/c6/arf/arf-c6-20260422_055912/staged/arf/adapter_report.json b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/staged/arf/adapter_report.json new file mode 100644 index 0000000000000000000000000000000000000000..26428e5de6d3f2de0d734632d70ffc0c1de67887 --- /dev/null +++ b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/staged/arf/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/c6/arf/arf-c6-20260422_055912/staged/arf/model_input_manifest.json" +} \ No newline at end of file diff --git a/syntheticSuccess/c6/arf/arf-c6-20260422_055912/staged/arf/adapter_transforms_applied.json b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/staged/arf/adapter_transforms_applied.json new file mode 100644 index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc --- /dev/null +++ b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/staged/arf/adapter_transforms_applied.json @@ -0,0 +1 @@ +[] \ No newline at end of file diff --git a/syntheticSuccess/c6/arf/arf-c6-20260422_055912/staged/arf/model_input_manifest.json b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/staged/arf/model_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..98cecf6af6fc941deee9c3ebcd2ab2fdbd542cbc --- /dev/null +++ b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/staged/arf/model_input_manifest.json @@ -0,0 +1,176 @@ +{ + "dataset_id": "c6", + "model": "arf", + "target_column": "Type of Answer", + "task_type": "classification", + "column_schema": [ + { + "name": "Student ID", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 367, + "unique_ratio": 0.048062, + "example_values": [ + "473", + "351", + "967", + "1557", + "394" + ] + } + }, + { + "name": "Student Country", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 8, + "unique_ratio": 0.001048, + "example_values": [ + "Portugal", + "Italy", + "Lithuania", + "Slovenia", + "Ireland" + ] + } + }, + { + "name": "Question ID", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 796, + "unique_ratio": 0.104243, + "example_values": [ + "346", + "796", + "453", + "87", + "325" + ] + } + }, + { + "name": "Type of Answer", + "role": "target", + "semantic_type": "boolean", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000262, + "example_values": [ + "0", + "1" + ] + } + }, + { + "name": "Question Level", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000262, + "example_values": [ + "Advanced", + "Basic" + ] + } + }, + { + "name": "Topic", + "role": "feature", + "semantic_type": "text", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "keep_raw", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 14, + "unique_ratio": 0.001833, + "example_values": [ + "Complex Numbers", + "Fundamental Mathematics", + "Linear Algebra", + "Real Functions of a single variable", + "Analytic Geometry" + ] + } + }, + { + "name": "Subtopic", + "role": "feature", + "semantic_type": "text", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "keep_raw", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 24, + "unique_ratio": 0.003143, + "example_values": [ + "Complex Numbers", + "Algebraic expressions, Equations, and Inequalities", + "Vector Spaces", + "Limits and Continuity", + "Linear Transformations" + ] + } + }, + { + "name": "Keywords", + "role": "feature", + "semantic_type": "text", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "keep_raw", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 360, + "unique_ratio": 0.047145, + "example_values": [ + "Imaginary part,Modulus of a complex number,Operations with complex numbers,Conjugate number,Real part", + "Logarithmic function,Exponential function,Simplify expressions", + "Linear independence,Span,Linear dependence", + "Indeterminate forms,Limits", + "Range,Kernel" + ] + } + } + ], + "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/arf/arf-c6-20260422_055912/public_gate/staged_input_manifest.json", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/arf/arf-c6-20260422_055912/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/arf/arf-c6-20260422_055912/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/arf/arf-c6-20260422_055912/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/arf/arf-c6-20260422_055912/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/arf/arf-c6-20260422_055912/public_gate/public_gate_report.json" +} \ No newline at end of file diff --git a/syntheticSuccess/c6/arf/arf-c6-20260422_055912/staged/public/staged_features.json b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/staged/public/staged_features.json new file mode 100644 index 0000000000000000000000000000000000000000..5523fb7a16718db5c4122f8381d3cff51e337c45 --- /dev/null +++ b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/staged/public/staged_features.json @@ -0,0 +1,42 @@ +[ + { + "feature_name": "Student ID", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "Student Country", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "Question ID", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "Type of Answer", + "data_type": "binary", + "is_target": true + }, + { + "feature_name": "Question Level", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "Topic", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "Subtopic", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "Keywords", + "data_type": "categorical", + "is_target": false + } +] \ No newline at end of file diff --git a/syntheticSuccess/c6/arf/arf-c6-20260422_055912/staged/public/test.csv b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/staged/public/test.csv new file mode 100644 index 0000000000000000000000000000000000000000..221052bae020346f46e1c71d36fce7eb347ed62d --- /dev/null +++ b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/staged/public/test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d28b60b361526450f0c203ddf50498854cb66ad5c1978516a99c265f529f8e4f +size 107696 diff --git a/syntheticSuccess/c6/arf/arf-c6-20260422_055912/staged/public/train.csv b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/staged/public/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..28f63ae8128dbf03647f9cda7458db51d98581f5 --- /dev/null +++ b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/staged/public/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7d8f85a52de0e63e292778c26cb06223383b366c589d4226c3de68b111ba5272 +size 849500 diff --git a/syntheticSuccess/c6/arf/arf-c6-20260422_055912/staged/public/val.csv b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/staged/public/val.csv new file mode 100644 index 0000000000000000000000000000000000000000..400c35bc93bd5a660ae20c7574c7bea7bc24035f --- /dev/null +++ b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/staged/public/val.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9ede9f1e2036e743d822e8ed8d7b5e1050159e8fc7b402b758a294f7a14528fe +size 108137 diff --git a/syntheticSuccess/c6/arf/arf-c6-20260422_055912/train_20260422_055912.log b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/train_20260422_055912.log new file mode 100644 index 0000000000000000000000000000000000000000..b2681ba4d7278696ce72617e9259bb09bf7f6332 --- /dev/null +++ b/syntheticSuccess/c6/arf/arf-c6-20260422_055912/train_20260422_055912.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3ad4fe1b3113c746d8adc3d872ee211266d85a3dd6688227da9569c0ad8f3f93 +size 289 diff --git a/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/_bayesnet_generate.py b/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/_bayesnet_generate.py new file mode 100644 index 0000000000000000000000000000000000000000..f8423a54fd6d6e70b3da2f898801502cfc68134e --- /dev/null +++ b/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/_bayesnet_generate.py @@ -0,0 +1,104 @@ + +import pickle +import subprocess +import sys +import warnings + +import numpy as np +import pandas as pd +from pgmpy.sampling import BayesianModelSampling + +warnings.filterwarnings("ignore", category=FutureWarning) + +def _ensure_cloudpickle(): + try: + import cloudpickle # noqa: F401 + except ModuleNotFoundError: + subprocess.check_call( + [sys.executable, "-m", "pip", "install", "--quiet", "cloudpickle"], + ) + +_ensure_cloudpickle() + +with open("/work/output-SpecializedModels/c6/bayesnet/bayesnet-c6-20260422_060152/bayesnet_model.pkl", "rb") as f: + bundle = pickle.load(f) + +network = bundle["network"] +inverse = bundle["inverse"] +cols = bundle["column_order"] +integer_columns = set(bundle.get("integer_columns") or []) +full_order = bundle.get("full_column_order") or cols +const_cols = bundle.get("const_cols") or {} + +num_rows = int(7636) +sampler = BayesianModelSampling(network) +raw = sampler.forward_sample(size=num_rows, show_progress=False) +raw = raw.reset_index(drop=True) +if len(raw) > num_rows: + raw = raw.iloc[:num_rows] +_tries = 0 +while len(raw) < num_rows and _tries < 64: + _tries += 1 + nextra = min(10000, num_rows - len(raw)) + more = sampler.forward_sample(size=max(nextra, 1), show_progress=False) + more = more.reset_index(drop=True) + if len(more) == 0: + break + raw = pd.concat([raw, more], ignore_index=True) + if len(raw) > num_rows: + raw = raw.iloc[:num_rows] + +out = pd.DataFrame(index=raw.index) +rng = np.random.default_rng() + +for c in cols: + if c in inverse["categorical"]: + levels = inverse["categorical"][c] + idx = raw[c].astype(int).to_numpy() + idx = np.clip(idx, 0, max(0, len(levels) - 1)) + out[c] = [levels[i] for i in idx] + else: + edges = np.asarray(inverse["continuous"][c], dtype=float) + if edges.size < 2: + out[c] = 0.0 + else: + nbin = edges.size - 1 + res = [] + for k in raw[c].astype(int).to_numpy(): + k = int(k) + if k < 0: + k = 0 + if k >= nbin: + k = nbin - 1 + lo, hi = float(edges[k]), float(edges[k + 1]) + if hi < lo: + lo, hi = hi, lo + v = rng.uniform(lo, hi) + if c in integer_columns: + v = int(round(v)) + res.append(v) + out[c] = res + +final = pd.DataFrame(index=out.index) +for c in full_order: + if c in const_cols: + final[c] = const_cols[c] + elif c in out.columns: + final[c] = out[c] + +dtypes = bundle.get("original_dtypes") or {} +for c, dts in dtypes.items(): + if c not in final.columns: + continue + try: + if "int" in dts: + final[c] = pd.to_numeric(final[c], errors="coerce").astype("Int64") + elif "float" in dts: + final[c] = pd.to_numeric(final[c], errors="coerce") + except Exception: + pass + +if len(final) != num_rows: + final = final.iloc[:num_rows].copy() +final.to_csv("/work/output-SpecializedModels/c6/bayesnet/bayesnet-c6-20260422_060152/bayesnet-c6-7636-20260422_060304.csv", index=False) +print(f"[BayesNet] Generated {len(final)} rows (requested {num_rows}) -> /work/output-SpecializedModels/c6/bayesnet/bayesnet-c6-20260422_060152/bayesnet-c6-7636-20260422_060304.csv") diff --git a/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/_bayesnet_train.py b/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/_bayesnet_train.py new file mode 100644 index 0000000000000000000000000000000000000000..d6c6895bc60aac0a0bdd26965b6d955ae772e3f7 --- /dev/null +++ b/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/_bayesnet_train.py @@ -0,0 +1,118 @@ + +import json +import pickle +import subprocess +import sys +import warnings + +import numpy as np +import pandas as pd +from pgmpy.estimators import TreeSearch +from pgmpy.models import DiscreteBayesianNetwork +warnings.filterwarnings("ignore", category=FutureWarning) + +def _ensure_cloudpickle(): + try: + import cloudpickle # noqa: F401 + except ModuleNotFoundError: + subprocess.check_call( + [sys.executable, "-m", "pip", "install", "--quiet", "cloudpickle"], + ) + +_ensure_cloudpickle() + +with open("/work/output-SpecializedModels/c6/bayesnet/bayesnet-c6-20260422_060152/bayesnet_coltypes.json", "r", encoding="utf-8") as _f: + colmeta = json.load(_f) +integer_columns = set(colmeta.get("integer_columns") or []) + +df = pd.read_csv("/work/output-SpecializedModels/c6/bayesnet/bayesnet-c6-20260422_060152/staged/public/train.csv") +df = df.dropna(axis=1, how="all") +full_column_order = list(df.columns) + +const_cols = {} +for col in list(df.columns): + if df[col].nunique(dropna=True) <= 1: + const_cols[col] = df[col].iloc[0] if len(df) > 0 else None + df = df.drop(columns=[col]) + print(f"[BayesNet] Dropped zero-variance column '{col}'") + +const_path = "/work/output-SpecializedModels/c6/bayesnet/bayesnet-c6-20260422_060152/bayesnet_model.pkl".replace("bayesnet_model.pkl", "const_cols.json") +with open(const_path, "w", encoding="utf-8") as _f: + json.dump({k: str(v) for k, v in const_cols.items()}, _f) + +inverse = {"categorical": {}, "continuous": {}} +enc = pd.DataFrame(index=df.index) +_n_samples = len(df) +_n_plan = sum( + 1 for e in colmeta["columns"] if str(e.get("name", "")) in df.columns +) +max_bins = 10 +if _n_plan > 35 or _n_samples > 200000: + max_bins = 5 +if _n_plan > 55: + max_bins = 4 +print(f"[BayesNet] max_bins={max_bins} (cols_in_df={_n_plan}, rows={_n_samples})") + +for entry in colmeta["columns"]: + name = entry["name"] + if name not in df.columns: + continue + kind = entry["type"] + s = df[name] + if kind == "categorical": + uniques = sorted(s.dropna().unique(), key=lambda x: str(x)) + mapping = {str(v): i for i, v in enumerate(uniques)} + inverse["categorical"][name] = [uniques[i] for i in range(len(uniques))] + enc[name] = s.map(lambda x, m=mapping: m.get(str(x), 0)).astype(int) + else: + s_num = pd.to_numeric(s, errors="coerce") + nu = int(s_num.nunique(dropna=True)) + q = min(max_bins, max(2, nu)) + if nu < 2: + enc[name] = np.zeros(len(s_num), dtype=int) + lo, hi = float(s_num.min()), float(s_num.max()) + inverse["continuous"][name] = [lo, hi] + else: + try: + _, bins = pd.qcut( + s_num, q=q, retbins=True, duplicates="drop" + ) + except Exception: + med = float(s_num.median()) + s2 = s_num.fillna(med) + _, bins = pd.qcut( + s2, q=min(q, 3), retbins=True, duplicates="drop" + ) + bins = np.asarray(bins, dtype=float) + lab = pd.cut( + s_num, bins=bins, labels=False, include_lowest=True + ) + enc[name] = lab.fillna(0).astype(int) + inverse["continuous"][name] = bins.tolist() + +print(f"[BayesNet] Training on {len(enc)} rows, {len(enc.columns)} cols (encoded)") + +enc_struct = enc +if len(enc) > 25000: + enc_struct = enc.sample(n=25000, random_state=0, replace=False) + print(f"[BayesNet] TreeSearch on {len(enc_struct)} rows (subsample; full n={len(enc)})") +dag = TreeSearch(enc_struct).estimate(show_progress=False) +for col in enc.columns: + if col not in dag.nodes(): + dag.add_node(col) + print(f"[BayesNet] Added isolated node to DAG: {col}") +network = DiscreteBayesianNetwork(dag) +network.fit(enc) + +bundle = { + "network": network, + "inverse": inverse, + "column_order": list(enc.columns), + "full_column_order": full_column_order, + "integer_columns": list(integer_columns), + "original_dtypes": {c: str(df[c].dtype) for c in enc.columns}, + "const_cols": const_cols, +} +with open("/work/output-SpecializedModels/c6/bayesnet/bayesnet-c6-20260422_060152/bayesnet_model.pkl", "wb") as _f: + pickle.dump(bundle, _f) +print(f"[BayesNet] Model saved -> /work/output-SpecializedModels/c6/bayesnet/bayesnet-c6-20260422_060152/bayesnet_model.pkl") diff --git a/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/bayesnet-c6-7636-20260422_060304.csv b/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/bayesnet-c6-7636-20260422_060304.csv new file mode 100644 index 0000000000000000000000000000000000000000..153c2d194324b90aa58b47e714840e04cbc7c79b --- /dev/null +++ b/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/bayesnet-c6-7636-20260422_060304.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9dc9bfad4d7f78d8f802bd200dad9a0a88c3665230a565b1d194f4d89839d2ee +size 1058662 diff --git a/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/bayesnet_coltypes.json b/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/bayesnet_coltypes.json new file mode 100644 index 0000000000000000000000000000000000000000..1b5e9b2571099fabb160b233af3b2c15f6b9fd97 --- /dev/null +++ b/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/bayesnet_coltypes.json @@ -0,0 +1,37 @@ +{ + "columns": [ + { + "name": "Student ID", + "type": "continuous" + }, + { + "name": "Student Country", + "type": "categorical" + }, + { + "name": "Question ID", + "type": "continuous" + }, + { + "name": "Type of Answer", + "type": "categorical" + }, + { + "name": "Question Level", + "type": "categorical" + }, + { + "name": "Topic", + "type": "categorical" + }, + { + "name": "Subtopic", + "type": "categorical" + }, + { + "name": "Keywords", + "type": "categorical" + } + ], + "integer_columns": [] +} \ No newline at end of file diff --git a/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/bayesnet_model.pkl b/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/bayesnet_model.pkl new file mode 100644 index 0000000000000000000000000000000000000000..446474013c28e948039a3efa3dee3873ddcaab0b --- /dev/null +++ b/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/bayesnet_model.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dcd01c2b2f40cdaf88e7f003f7ceff936bc794b0e1f26856a65d696fe7947b30 +size 211733 diff --git a/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/const_cols.json b/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/const_cols.json new file mode 100644 index 0000000000000000000000000000000000000000..9e26dfeeb6e641a33dae4961196235bdb965b21b --- /dev/null +++ b/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/const_cols.json @@ -0,0 +1 @@ +{} \ No newline at end of file diff --git a/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/gen_20260422_060304.log b/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/gen_20260422_060304.log new file mode 100644 index 0000000000000000000000000000000000000000..5f4c611a9a15349aaef66d0793a14b5d64633f42 --- /dev/null +++ b/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/gen_20260422_060304.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:acc54b395b66ae0bf9f64b3589f3718312e540826db73f2f393b1e310f00a450 +size 3387 diff --git a/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/input_snapshot.json b/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..756f09e04e5665267d43feb35e42f0e1eea68be6 --- /dev/null +++ b/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/input_snapshot.json @@ -0,0 +1,36 @@ +{ + "dataset_id": "c6", + "model": "bayesnet", + "inputs": { + "train_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c6/c6-train.csv", + "exists": true, + "size": 849500, + "sha256": "7d8f85a52de0e63e292778c26cb06223383b366c589d4226c3de68b111ba5272" + }, + "val_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c6/c6-val.csv", + "exists": true, + "size": 108137, + "sha256": "9ede9f1e2036e743d822e8ed8d7b5e1050159e8fc7b402b758a294f7a14528fe" + }, + "test_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c6/c6-test.csv", + "exists": true, + "size": 107696, + "sha256": "d28b60b361526450f0c203ddf50498854cb66ad5c1978516a99c265f529f8e4f" + }, + "profile_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c6/c6-dataset_profile.json", + "exists": true, + "size": 4145, + "sha256": "70c4d3f4f544b9bff7543f502136d9b1403d8589ad5ef0a9695842d8ef9d5185" + }, + "contract_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c6/c6-dataset_contract_v1.json", + "exists": true, + "size": 4740, + "sha256": "602750e8159221cf97836d44d530098411b5f2cd6fc47c06776171da79d06593" + } + } +} \ No newline at end of file diff --git a/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/public_gate/normalized_schema_snapshot.json b/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/public_gate/normalized_schema_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..62de672c6242a8fe33594746bc19ea183e203ce7 --- /dev/null +++ b/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/public_gate/normalized_schema_snapshot.json @@ -0,0 +1,169 @@ +{ + "dataset_id": "c6", + "target_column": "Type of Answer", + "task_type": "classification", + "columns": [ + { + "name": "Student ID", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 367, + "unique_ratio": 0.048062, + "example_values": [ + "473", + "351", + "967", + "1557", + "394" + ] + } + }, + { + "name": "Student Country", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 8, + "unique_ratio": 0.001048, + "example_values": [ + "Portugal", + "Italy", + "Lithuania", + "Slovenia", + "Ireland" + ] + } + }, + { + "name": "Question ID", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 796, + "unique_ratio": 0.104243, + "example_values": [ + "346", + "796", + "453", + "87", + "325" + ] + } + }, + { + "name": "Type of Answer", + "role": "target", + "semantic_type": "boolean", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + 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at end of file diff --git a/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/staged/bayesnet/adapter_report.json b/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/staged/bayesnet/adapter_report.json new file mode 100644 index 0000000000000000000000000000000000000000..9133af59dca39df3be2a6d1018865a85d053cc67 --- /dev/null +++ b/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/staged/bayesnet/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/c6/bayesnet/bayesnet-c6-20260422_060152/staged/bayesnet/model_input_manifest.json" +} \ No newline at end of file diff --git a/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/staged/bayesnet/adapter_transforms_applied.json 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"Question ID", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "Type of Answer", + "data_type": "binary", + "is_target": true + }, + { + "feature_name": "Question Level", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "Topic", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "Subtopic", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "Keywords", + "data_type": "categorical", + "is_target": false + } +] \ No newline at end of file diff --git a/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/staged/public/test.csv b/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/staged/public/test.csv new file mode 100644 index 0000000000000000000000000000000000000000..221052bae020346f46e1c71d36fce7eb347ed62d --- /dev/null +++ b/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/staged/public/test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d28b60b361526450f0c203ddf50498854cb66ad5c1978516a99c265f529f8e4f +size 107696 diff --git a/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/staged/public/train.csv b/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/staged/public/train.csv new file mode 100644 index 0000000000000000000000000000000000000000..28f63ae8128dbf03647f9cda7458db51d98581f5 --- /dev/null +++ b/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/staged/public/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7d8f85a52de0e63e292778c26cb06223383b366c589d4226c3de68b111ba5272 +size 849500 diff --git a/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/staged/public/val.csv b/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/staged/public/val.csv new file mode 100644 index 0000000000000000000000000000000000000000..400c35bc93bd5a660ae20c7574c7bea7bc24035f --- /dev/null +++ b/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/staged/public/val.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9ede9f1e2036e743d822e8ed8d7b5e1050159e8fc7b402b758a294f7a14528fe +size 108137 diff --git a/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/train_20260422_060152.log b/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/train_20260422_060152.log new file mode 100644 index 0000000000000000000000000000000000000000..2443106230311bc831c9105a9c63d363dd3540b4 --- /dev/null +++ b/syntheticSuccess/c6/bayesnet/bayesnet-c6-20260422_060152/train_20260422_060152.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dc2aa7b0c2aa4d0c44a3c3173b854e55e1e6900bc02e85df242bbf2e60c0e961 +size 3444 diff --git a/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/_ctgan_generate.py b/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/_ctgan_generate.py new file mode 100644 index 0000000000000000000000000000000000000000..079de08754d4cefd9661c4b86244f5000fdf4ad6 --- /dev/null +++ b/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/_ctgan_generate.py @@ -0,0 +1,18 @@ +import sys +sys.path.insert(0, "/work") +from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix +apply_ctgan_inverse_fix() +import pandas as pd +from ctgan.synthesizers.ctgan import CTGAN +model = CTGAN.load("/work/output-SpecializedModels/c6/ctgan/ctgan-c6-20260422_025941/models_300epochs/ctgan_300epochs.pt") +total = 7636 +chunk = min(50000, total) if total > 50000 else total +parts = [] +left = total +while left > 0: + take = min(chunk, left) + parts.append(model.sample(take)) + left -= take +sampled = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0] +sampled.to_csv("/work/output-SpecializedModels/c6/ctgan/ctgan-c6-20260422_025941/ctgan-c6-7636-20260422_030517.csv", index=False) +print("[CTGAN] Generated", total, "rows in", len(parts), "chunks ->", "/work/output-SpecializedModels/c6/ctgan/ctgan-c6-20260422_025941/ctgan-c6-7636-20260422_030517.csv") \ No newline at end of file diff --git a/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/ctgan-c6-7636-20260422_030517.csv b/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/ctgan-c6-7636-20260422_030517.csv new file mode 100644 index 0000000000000000000000000000000000000000..abeab461eb48c83f788f2e06239779c53b9940f7 --- /dev/null +++ b/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/ctgan-c6-7636-20260422_030517.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4c8574499d27c66e25c1b1448d26ed51aeb9d65ee11b173509931b6819b98514 +size 850526 diff --git a/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/ctgan_metadata.json b/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/ctgan_metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fd44f1730c28205b8349695531f19bedb2470087 --- /dev/null +++ b/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/ctgan_metadata.json @@ -0,0 +1,36 @@ +{ + "columns": [ + { + "name": "Student ID", + "type": "continuous" + }, + { + "name": "Student Country", + "type": "categorical" + }, + { + "name": "Question ID", + "type": "continuous" + }, + { + "name": "Type of Answer", + "type": "categorical" + }, + { + "name": "Question Level", + "type": "categorical" + }, + { + "name": "Topic", + "type": "categorical" + }, + { + "name": "Subtopic", + "type": "categorical" + }, + { + "name": "Keywords", + "type": "categorical" + } + ] +} \ No newline at end of file diff --git a/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/gen_20260422_030517.log b/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/gen_20260422_030517.log new file mode 100644 index 0000000000000000000000000000000000000000..216e52308d8116af2be685c0c3a1fa49ec074b2a --- /dev/null +++ b/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/gen_20260422_030517.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c6dd494ebb6158864cd3a7114813febb0efc2fc6b624a0c97ea35cc53e634ef9 +size 292 diff --git a/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/input_snapshot.json b/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..6168765e31eaf2f2f4406b02a88b7b33fb522782 --- /dev/null +++ b/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/input_snapshot.json @@ -0,0 +1,36 @@ +{ + "dataset_id": "c6", + "model": "ctgan", + "inputs": { + "train_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c6/c6-train.csv", + "exists": true, + "size": 849500, + "sha256": "7d8f85a52de0e63e292778c26cb06223383b366c589d4226c3de68b111ba5272" + }, + "val_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c6/c6-val.csv", + "exists": true, + "size": 108137, + "sha256": "9ede9f1e2036e743d822e8ed8d7b5e1050159e8fc7b402b758a294f7a14528fe" + }, + "test_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c6/c6-test.csv", + "exists": true, + "size": 107696, + "sha256": "d28b60b361526450f0c203ddf50498854cb66ad5c1978516a99c265f529f8e4f" + }, + "profile_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c6/c6-dataset_profile.json", + "exists": true, + "size": 4145, + "sha256": "70c4d3f4f544b9bff7543f502136d9b1403d8589ad5ef0a9695842d8ef9d5185" + }, + "contract_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c6/c6-dataset_contract_v1.json", + "exists": true, + "size": 4740, + "sha256": "602750e8159221cf97836d44d530098411b5f2cd6fc47c06776171da79d06593" + } + } +} \ No newline at end of file diff --git a/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/models_300epochs/ctgan_300epochs.pt b/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/models_300epochs/ctgan_300epochs.pt new file mode 100644 index 0000000000000000000000000000000000000000..eb18aa2f8b25e88a3b10f2371146e2efd13164ba --- /dev/null +++ b/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/models_300epochs/ctgan_300epochs.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bd0eabb3aac5a61c6a2aebd14017b03a67781edf7d756d16605680ca30bedbc2 +size 3909987 diff --git a/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/models_300epochs/train_20260422_025941.log b/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/models_300epochs/train_20260422_025941.log new file mode 100644 index 0000000000000000000000000000000000000000..1cf211d293ea30684d7f5d4c0cf09b3eb2c039e1 --- /dev/null +++ b/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/models_300epochs/train_20260422_025941.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3bde6982a751134bac113ace027f4d8793e4b43b1707a1ac2da670f71e259c30 +size 1722 diff --git a/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/public_gate/normalized_schema_snapshot.json b/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/public_gate/normalized_schema_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..62de672c6242a8fe33594746bc19ea183e203ce7 --- /dev/null +++ b/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/public_gate/normalized_schema_snapshot.json @@ -0,0 +1,169 @@ +{ + "dataset_id": "c6", + "target_column": "Type of Answer", + "task_type": "classification", + "columns": [ + { + "name": "Student ID", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 367, + "unique_ratio": 0.048062, + "example_values": [ + "473", + "351", + "967", + "1557", + "394" + ] + } + }, + { + "name": "Student Country", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 8, + "unique_ratio": 0.001048, + "example_values": [ + "Portugal", + "Italy", + "Lithuania", + "Slovenia", + "Ireland" + ] + } + }, + { + "name": "Question ID", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 796, + "unique_ratio": 0.104243, + "example_values": [ + "346", + "796", + "453", + "87", + "325" + ] + } + }, + { + "name": "Type of Answer", + "role": "target", + "semantic_type": "boolean", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000262, + "example_values": [ + "0", + "1" + ] + } + }, + { + "name": "Question Level", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000262, + "example_values": [ + "Advanced", + "Basic" + ] + } + }, + { + "name": "Topic", + "role": "feature", + "semantic_type": "text", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "keep_raw", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 14, + "unique_ratio": 0.001833, + "example_values": [ + "Complex Numbers", + "Fundamental Mathematics", + "Linear Algebra", + "Real Functions of a single variable", + "Analytic Geometry" + ] + } + }, + { + "name": "Subtopic", + "role": "feature", + "semantic_type": "text", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "keep_raw", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 24, + "unique_ratio": 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"/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c6/c6-test.csv" + } +} \ No newline at end of file diff --git a/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/public_gate/staged_input_manifest.json b/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/public_gate/staged_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..236d7c4c0060068f5fa4641dba42b33c06a40151 --- /dev/null +++ b/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/public_gate/staged_input_manifest.json @@ -0,0 +1,174 @@ +{ + "dataset_id": "c6", + "target_column": "Type of Answer", + "task_type": "classification", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/ctgan/ctgan-c6-20260422_025941/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/ctgan/ctgan-c6-20260422_025941/staged/public/val.csv", + "test_csv": 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false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000262, + "example_values": [ + "Advanced", + "Basic" + ] + } + }, + { + "name": "Topic", + "role": "feature", + "semantic_type": "text", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "keep_raw", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 14, + "unique_ratio": 0.001833, + "example_values": [ + "Complex Numbers", + "Fundamental Mathematics", + "Linear Algebra", + "Real Functions of a single variable", + "Analytic Geometry" + ] + } + }, + { + "name": "Subtopic", + "role": "feature", + "semantic_type": "text", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "keep_raw", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 24, + "unique_ratio": 0.003143, + "example_values": [ + "Complex Numbers", + "Algebraic expressions, Equations, and Inequalities", + "Vector Spaces", + "Limits and Continuity", + "Linear Transformations" + ] + } + }, + { + "name": "Keywords", + "role": "feature", + "semantic_type": "text", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "keep_raw", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 360, + "unique_ratio": 0.047145, + "example_values": [ + "Imaginary part,Modulus of a complex number,Operations with complex numbers,Conjugate number,Real part", + "Logarithmic function,Exponential function,Simplify expressions", + "Linear independence,Span,Linear dependence", + "Indeterminate forms,Limits", + "Range,Kernel" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/runtime_result.json b/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/runtime_result.json new file mode 100644 index 0000000000000000000000000000000000000000..199e4de8aa965b09c35e1f03fb785289f6b29ff7 --- /dev/null +++ b/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/runtime_result.json @@ -0,0 +1,15 @@ +{ + "dataset_id": "c6", + "model": "ctgan", + "run_id": "ctgan-c6-20260422_025941", + "public_gate_status": "pass", + "adapter_ready_status": "pass", + "train_status": "success", + "generate_status": "success", + "reason_code": null, + "reason_detail": null, + "artifacts": { + "synthetic_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/ctgan/ctgan-c6-20260422_025941/ctgan-c6-7636-20260422_030517.csv", + "model_path": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/ctgan/ctgan-c6-20260422_025941/models_300epochs/ctgan_300epochs.pt" + } +} \ No newline at end of file diff --git a/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/staged/ctgan/adapter_report.json b/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/staged/ctgan/adapter_report.json new file mode 100644 index 0000000000000000000000000000000000000000..68880db9a138b935b0fdc5a77aaf3431d0a76541 --- /dev/null +++ b/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/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/c6/ctgan/ctgan-c6-20260422_025941/staged/ctgan/model_input_manifest.json" +} \ No newline at end of file diff --git a/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/staged/ctgan/adapter_transforms_applied.json b/syntheticSuccess/c6/ctgan/ctgan-c6-20260422_025941/staged/ctgan/adapter_transforms_applied.json new file mode 100644 index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc --- /dev/null +++ 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"2___NUMERIC___Question ID_03___9", "83": "3___CATEGORICAL___Type of Answer___0", "84": "3___CATEGORICAL___Type of Answer___1", "85": "4___CATEGORICAL___Question Level___Advanced", "86": "4___CATEGORICAL___Question Level___Basic", "87": "5___CATEGORICAL___Topic___Analytic Geometry", "88": "5___CATEGORICAL___Topic___Complex Numbers", "89": "5___CATEGORICAL___Topic___Differential Equations", "90": "5___CATEGORICAL___Topic___Differentiation", "91": "5___CATEGORICAL___Topic___Fundamental Mathematics", "92": "5___CATEGORICAL___Topic___Graph Theory", "93": "5___CATEGORICAL___Topic___Integration", "94": "5___CATEGORICAL___Topic___Linear Algebra", "95": "5___CATEGORICAL___Topic___Numerical Methods", "96": "5___CATEGORICAL___Topic___Optimization", "97": "5___CATEGORICAL___Topic___Probability", "98": "5___CATEGORICAL___Topic___Real Functions of a single variable", "99": "5___CATEGORICAL___Topic___Set Theory", "100": "5___CATEGORICAL___Topic___Statistics", "101": "6___CATEGORICAL___Subtopic___Algebraic expressions, Equations, and Inequalities", "102": "6___CATEGORICAL___Subtopic___Analytic Geometry", "103": "6___CATEGORICAL___Subtopic___Complex Numbers", "104": "6___CATEGORICAL___Subtopic___Definite Integrals", "105": "6___CATEGORICAL___Subtopic___Derivatives", "106": "6___CATEGORICAL___Subtopic___Differential Equations", "107": "6___CATEGORICAL___Subtopic___Domain, Image and Graphics", "108": "6___CATEGORICAL___Subtopic___Double Integration", "109": "6___CATEGORICAL___Subtopic___Eigenvalues and Eigenvectors", "110": "6___CATEGORICAL___Subtopic___Elementary Geometry", "111": "6___CATEGORICAL___Subtopic___Graph Theory", "112": "6___CATEGORICAL___Subtopic___Integration Techniques", "113": "6___CATEGORICAL___Subtopic___Limits and Continuity", "114": "6___CATEGORICAL___Subtopic___Linear Optimization", "115": "6___CATEGORICAL___Subtopic___Linear Systems", "116": "6___CATEGORICAL___Subtopic___Linear Transformations", "117": "6___CATEGORICAL___Subtopic___Matrices and Determinants", "118": "6___CATEGORICAL___Subtopic___Nonlinear Optimization", "119": "6___CATEGORICAL___Subtopic___Numerical Methods", "120": "6___CATEGORICAL___Subtopic___Partial Differentiation", "121": "6___CATEGORICAL___Subtopic___Probability", "122": "6___CATEGORICAL___Subtopic___Set Theory", "123": "6___CATEGORICAL___Subtopic___Statistics", "124": "6___CATEGORICAL___Subtopic___Vector Spaces", "125": "7___CATEGORICAL___Keywords___Addition, multiplication, and total probability rules", "126": "7___CATEGORICAL___Keywords___Addition, multiplication, and total probability rules,Independence,Event", "127": "7___CATEGORICAL___Keywords___Addition, multiplication, and total probability rules,Sample space,Event,Axioms of probability", "128": "7___CATEGORICAL___Keywords___Adjacency matrix", "129": "7___CATEGORICAL___Keywords___Adjacency matrix,Simple graph", "130": "7___CATEGORICAL___Keywords___Algebraic form,Principal argument,De Moivre formulas,Polar representation,Operations with complex numbers,Modulus of a complex number,Trigonometric form", "131": "7___CATEGORICAL___Keywords___Algebraic form,Principal argument,De Moivre formulas,Polar representation,Trigonometric form,Operations with complex numbers,Modulus of a complex number", "132": "7___CATEGORICAL___Keywords___Algebraic form,Real part,Equations involving complex numbers,Imaginary part,Conjugate number,Modulus of a complex number", "133": "7___CATEGORICAL___Keywords___Area of a planar region ,Fundamental theorem of Calculus", "134": "7___CATEGORICAL___Keywords___Axioms of probability,Event,Addition, multiplication, and total probability rules,Sample space", "135": "7___CATEGORICAL___Keywords___Axioms of probability,Event,Independence,Addition, multiplication, and total probability rules,Sample space", "136": "7___CATEGORICAL___Keywords___Basis", "137": "7___CATEGORICAL___Keywords___Basis,Dimension", "138": "7___CATEGORICAL___Keywords___Basis,Span", "139": "7___CATEGORICAL___Keywords___Basis,Span,Change-of-basis matrix", "140": "7___CATEGORICAL___Keywords___Basis,Span,Subspace,Linear combination,Dimension", "141": "7___CATEGORICAL___Keywords___Bayes' Theorem,Conditional probability", "142": "7___CATEGORICAL___Keywords___Bernoulli equation,Linear differential equation", "143": "7___CATEGORICAL___Keywords___Cartesian coordinates,x-simple region (type II),Changing order of integration", "144": "7___CATEGORICAL___Keywords___Cartesian equations of a line,Orthogonality,Collinearity", "145": "7___CATEGORICAL___Keywords___Cartesian equations of a plane,Cartesian equations of a line", "146": "7___CATEGORICAL___Keywords___Cartesian equations of a plane,Cartesian equations of a line,Collinearity", "147": "7___CATEGORICAL___Keywords___Cartesian equations of a plane,Intersection,Cartesian equations of a line", "148": "7___CATEGORICAL___Keywords___Cartesian equations of a plane,Locus,Intersection,Cartesian equations of a line", "149": "7___CATEGORICAL___Keywords___Cartesian equations of a plane,Orthogonality", "150": "7___CATEGORICAL___Keywords___Cartesian equations of a plane,Orthogonality,Locus,Distance", "151": "7___CATEGORICAL___Keywords___Cauchy problem,Exact differential form", "152": "7___CATEGORICAL___Keywords___Chain rule", "153": "7___CATEGORICAL___Keywords___Change-of-basis matrix,Span,Basis,Dimension", "154": "7___CATEGORICAL___Keywords___Changing order of integration,Cartesian coordinates", "155": "7___CATEGORICAL___Keywords___Characteristic polynomial,Eigenvalue,Diagonalization,Eigenvector,Spectrum", "156": "7___CATEGORICAL___Keywords___Chi square distribution,Student distribution,Quantile,Hypothesis testing", "157": "7___CATEGORICAL___Keywords___Chromatic number", "158": "7___CATEGORICAL___Keywords___Collinearity,Distance,Locus,Cross product,Orthogonality,Scalar product", "159": "7___CATEGORICAL___Keywords___Collinearity,Locus,Orthogonality,Orthogonal projection,Scalar product,Distance", "160": "7___CATEGORICAL___Keywords___Collinearity,Orthogonality,Distance,Scalar product", "161": "7___CATEGORICAL___Keywords___Commuting matrices,Solve matrix equation,Matrix equivalent - echelon,Determinant computation,Matrix rank,Inverse matrix ,Determinant properties,Hermitian matrix,Matrix multiplication,Linearly independent rows,Symmetric matrix,Matrix operations", "162": "7___CATEGORICAL___Keywords___Commuting matrices,Solve matrix equation,Matrix equivalent - echelon,Inverse matrix ,Determinant computation,Matrix rank,Determinant properties,Hermitian matrix,Matrix multiplication,Linearly independent rows,Symmetric matrix,Matrix operations", "163": "7___CATEGORICAL___Keywords___Commuting matrices,Solve matrix equation,Matrix equivalent - echelon,Inverse matrix ,Determinant computation,Matrix rank,Determinant properties,Hermitian matrix,Symmetric matrix,Matrix multiplication,Linearly independent rows,Matrix operations", "164": "7___CATEGORICAL___Keywords___Complex plane", "165": "7___CATEGORICAL___Keywords___Conditional probability", "166": "7___CATEGORICAL___Keywords___Conditional probability,Bayes' Theorem", "167": "7___CATEGORICAL___Keywords___Conjugate number,Modulus of a complex number,Algebraic form,Real part,Equations involving complex numbers,Imaginary part", "168": "7___CATEGORICAL___Keywords___Conjugate number,Operations with complex numbers", "169": "7___CATEGORICAL___Keywords___Conjugate number,Real part,De Moivre formulas,Operations with complex numbers,Imaginary part", "170": "7___CATEGORICAL___Keywords___Conjugate number,Real part,Operations with complex numbers,Imaginary part,Modulus of a complex number", "171": "7___CATEGORICAL___Keywords___Conjugate number,Real part,Operations with complex numbers,Modulus of a complex number,Imaginary part", "172": "7___CATEGORICAL___Keywords___Consistent system,Inconsistent system,Solution of linear system,Undetermined solution of linear system", "173": "7___CATEGORICAL___Keywords___Consistent system,Square linear system,Inconsistent system,Solution of linear system,Undetermined solution of linear system", "174": "7___CATEGORICAL___Keywords___Continuity,Limits", "175": "7___CATEGORICAL___Keywords___Cross product,Cartesian equations of a plane,Orthogonality,Cartesian equations of a line", "176": "7___CATEGORICAL___Keywords___Cross product,Orthogonality", "177": "7___CATEGORICAL___Keywords___Cross product,Orthogonality,Scalar product", "178": "7___CATEGORICAL___Keywords___Cycle and circuit,Shortest path,Path,Planar graph,Tree,Adjacency matrix,Chromatic number,Simple graph,Spanning tree,Incidence matrix", "179": "7___CATEGORICAL___Keywords___Determinant computation,Determinant properties", "180": "7___CATEGORICAL___Keywords___Determinant computation,Determinant properties,Inverse matrix ,Matrix operations", "181": "7___CATEGORICAL___Keywords___Determinant computation,Determinant properties,Solve matrix equation", "182": "7___CATEGORICAL___Keywords___Determinant properties,Inverse matrix ,Solve matrix equation,Matrix rank,Matrix operations,Matrix multiplication,Symmetric matrix,Commuting matrices,Determinant computation", "183": "7___CATEGORICAL___Keywords___Determinant properties,Symmetric matrix,Inverse matrix ,Commuting matrices,Solve matrix equation,Matrix operations,Matrix rank,Determinant computation,Matrix multiplication", "184": "7___CATEGORICAL___Keywords___Direct inspection", "185": "7___CATEGORICAL___Keywords___Direct inspection,Simple integration", "186": "7___CATEGORICAL___Keywords___Direct integrals ,Fundamental theorem of Calculus", "187": "7___CATEGORICAL___Keywords___Directional derivative,Gradient", "188": "7___CATEGORICAL___Keywords___Directional derivative,Gradient,First order,Second order", "189": "7___CATEGORICAL___Keywords___Distance,Cross product,Orthogonality", "190": "7___CATEGORICAL___Keywords___Distance,Orthogonal projection,Orthogonality", "191": "7___CATEGORICAL___Keywords___Distance,Orthogonality,Locus", "192": "7___CATEGORICAL___Keywords___Distance,Scalar product,Cross product,Orthogonal projection,Orthogonality,Collinearity,Locus", "193": "7___CATEGORICAL___Keywords___Distance,Scalar product,Cross product,Orthogonality", "194": "7___CATEGORICAL___Keywords___Domain", "195": "7___CATEGORICAL___Keywords___Domain,Image of a function", "196": "7___CATEGORICAL___Keywords___Duality theory,Excel solver add-in,Simplex method,Linear programming,Sensitivity analysis,Postoptimality analysis", "197": "7___CATEGORICAL___Keywords___Duality theory,Linear programming", "198": "7___CATEGORICAL___Keywords___Eigenvalue,Diagonalization,Spectrum,Characteristic polynomial", "199": "7___CATEGORICAL___Keywords___Eigenvalue,Eigenvector", "200": "7___CATEGORICAL___Keywords___Eigenvalue,Eigenvector,Diagonalization", "201": "7___CATEGORICAL___Keywords___Eigenvalue,Eigenvector,Spectrum,Characteristic polynomial", "202": "7___CATEGORICAL___Keywords___Eigenvalue,Spectrum,Characteristic polynomial", "203": "7___CATEGORICAL___Keywords___Eigenvalue,Spectrum,Diagonalization,Characteristic polynomial", "204": "7___CATEGORICAL___Keywords___Eigenvalue,Spectrum,Eigenvector,Characteristic polynomial", "205": "7___CATEGORICAL___Keywords___Eigenvector,Eigenvalue", "206": "7___CATEGORICAL___Keywords___Eigenvector,Spectrum,Characteristic polynomial,Diagonalization,Eigenvalue", "207": "7___CATEGORICAL___Keywords___Eigenvector,Spectrum,Characteristic polynomial,Eigenvalue", "208": "7___CATEGORICAL___Keywords___Eigenvector,Spectrum,Characteristic polynomial,Eigenvalue,Diagonalization", "209": "7___CATEGORICAL___Keywords___Equations involving complex numbers,Imaginary part,Modulus of a complex number,Conjugate number,Algebraic form,Real part", "210": "7___CATEGORICAL___Keywords___Euclidean spaces,Orthogonal basis", "211": "7___CATEGORICAL___Keywords___Euclidean spaces,Orthogonal basis,Basis", "212": "7___CATEGORICAL___Keywords___Event,Addition, multiplication, and total probability rules,Independence", "213": "7___CATEGORICAL___Keywords___Event,Addition, multiplication, and total probability rules,Sample space", "214": "7___CATEGORICAL___Keywords___Event,Axioms of probability", "215": "7___CATEGORICAL___Keywords___Event,Axioms of probability,Addition, multiplication, and total probability rules,Sample space", "216": "7___CATEGORICAL___Keywords___Event,Axioms of probability,Sample space", "217": "7___CATEGORICAL___Keywords___Event,Independence,Addition, multiplication, and total probability rules", "218": "7___CATEGORICAL___Keywords___Event,Sample space", "219": "7___CATEGORICAL___Keywords___Event,Sample space,Addition, multiplication, and total probability rules,Axioms of probability", "220": "7___CATEGORICAL___Keywords___Exact differential form,Cauchy problem", "221": "7___CATEGORICAL___Keywords___Excel solver add-in,Simplex method,Linear programming", "222": "7___CATEGORICAL___Keywords___Excel solver add-in,Simplex method,Linear programming,Transportation problem", "223": "7___CATEGORICAL___Keywords___Exponential function,Simplify expressions", "224": "7___CATEGORICAL___Keywords___Exponential rule", "225": "7___CATEGORICAL___Keywords___First order", "226": "7___CATEGORICAL___Keywords___First order,Directional derivative", "227": "7___CATEGORICAL___Keywords___First order,Directional derivative,Gradient", "228": "7___CATEGORICAL___Keywords___First order,Gradient", "229": "7___CATEGORICAL___Keywords___First order,Second order", "230": "7___CATEGORICAL___Keywords___Frequency,Mode,Quantile,Population,Data type,Sample,Relative frequency,Mean,Standard deviation,Variance,Median", "231": "7___CATEGORICAL___Keywords___Frequency,Quantile,Mean,Variance,Median,Mode", "232": "7___CATEGORICAL___Keywords___Frequency,Sample,Stem and Leaf diagram,Variance,Standard deviation,Relative frequency", "233": "7___CATEGORICAL___Keywords___Fundamental theorem of Calculus,Volume of revolution", "234": "7___CATEGORICAL___Keywords___Geometric solids", "235": "7___CATEGORICAL___Keywords___Geometric solids,Geometrical figures,Classification of geometric solids", "236": "7___CATEGORICAL___Keywords___Geometrical figures", "237": "7___CATEGORICAL___Keywords___Geometrical figures,Polygons", "238": "7___CATEGORICAL___Keywords___Geometrical figures,Quadrilaterals,Rhombus", "239": "7___CATEGORICAL___Keywords___Geometrical figures,Triangles,Classification of geometrical figures", "240": "7___CATEGORICAL___Keywords___Gradient,Directional derivative", "241": "7___CATEGORICAL___Keywords___Gradient,First order", "242": "7___CATEGORICAL___Keywords___Gradient,First order,Directional derivative", "243": "7___CATEGORICAL___Keywords___Graphical method,Linear programming", "244": "7___CATEGORICAL___Keywords___Homogeneous equation", "245": "7___CATEGORICAL___Keywords___Homogeneous equation,Cauchy problem", "246": "7___CATEGORICAL___Keywords___Imaginary part,Complex plane ,Real part", "247": "7___CATEGORICAL___Keywords___Imaginary part,Conjugate number,Modulus of a complex number,Algebraic form,Real part,Equations involving complex numbers", "248": "7___CATEGORICAL___Keywords___Imaginary part,Modulus of a complex number,Algebraic form,Conjugate number,Real part,Equations involving complex numbers", "249": "7___CATEGORICAL___Keywords___Imaginary part,Modulus of a complex number,Conjugate number,Algebraic form,Operations with complex numbers,Real part,Equations involving complex numbers", "250": "7___CATEGORICAL___Keywords___Imaginary part,Modulus of a complex number,Conjugate number,Operations with complex numbers,Real part", "251": "7___CATEGORICAL___Keywords___Imaginary part,Modulus of a complex number,Operations with complex numbers,Conjugate number,Real part", "252": "7___CATEGORICAL___Keywords___Inconsistent system,Solution of linear system,Undetermined solution of linear system,Consistent system", "253": "7___CATEGORICAL___Keywords___Inconsistent system,Solution of linear system,Undetermined solution of linear system,Consistent system,Square linear system", "254": "7___CATEGORICAL___Keywords___Inconsistent system,Solution of linear system,Undetermined solution of linear system,Homogeneous system,Consistent system", "255": "7___CATEGORICAL___Keywords___Inconsistent system,Solution of linear system,Undetermined solution of linear system,Square linear system,Consistent system", "256": "7___CATEGORICAL___Keywords___Inconsistent system,Square linear system,Solution of linear system,Undetermined solution of linear system,Consistent system", "257": "7___CATEGORICAL___Keywords___Indeterminate forms,Limits", "258": "7___CATEGORICAL___Keywords___Injective linear application,Invertible linear operator,Isomorphism", "259": "7___CATEGORICAL___Keywords___Injective linear application,Invertible linear operator,Range,Kernel,Isomorphism", "260": "7___CATEGORICAL___Keywords___Injective linear application,Isomorphism", "261": "7___CATEGORICAL___Keywords___Injective linear application,Range,Kernel,Isomorphism", "262": "7___CATEGORICAL___Keywords___Integration by parts", "263": "7___CATEGORICAL___Keywords___Integration by parts,Fundamental theorem of Calculus", "264": "7___CATEGORICAL___Keywords___Integration by parts,Substitution,Simple integration,Direct inspection", "265": "7___CATEGORICAL___Keywords___Intersection,Cartesian equations of a plane", "266": "7___CATEGORICAL___Keywords___Inverse matrix ,Commuting matrices,Solve matrix equation,Matrix operations,Matrix rank,Determinant computation,Matrix multiplication,Determinant properties,Symmetric matrix", "267": "7___CATEGORICAL___Keywords___Inverse matrix ,Determinant computation,Determinant properties,Matrix operations", "268": "7___CATEGORICAL___Keywords___Invertible linear operator,Isomorphism,Injective linear application", "269": "7___CATEGORICAL___Keywords___Iterate integrals", "270": "7___CATEGORICAL___Keywords___Iterate integrals,Area ,y-simple region (type I),Cartesian coordinates", "271": "7___CATEGORICAL___Keywords___Iterate integrals,Cartesian coordinates,y-simple region (type I)", "272": "7___CATEGORICAL___Keywords___Kernel,Isomorphism,Injective linear application,Range", "273": "7___CATEGORICAL___Keywords___Lagrange multipliers,Maximum,Minimum", "274": "7___CATEGORICAL___Keywords___Lagrange multipliers,Minimum,Maximum,Stationary point", "275": "7___CATEGORICAL___Keywords___Lagrange multipliers,Optimal solution,Minimum,Maximum", "276": "7___CATEGORICAL___Keywords___Lagrange's interpolation,Polynomial interpolation", "277": "7___CATEGORICAL___Keywords___Limits", "278": "7___CATEGORICAL___Keywords___Limits,Indeterminate forms", "279": "7___CATEGORICAL___Keywords___Linear application,Composition of linear applications", "280": "7___CATEGORICAL___Keywords___Linear application,Linearity", "281": "7___CATEGORICAL___Keywords___Linear combination,Span", "282": "7___CATEGORICAL___Keywords___Linear combination,Subspace,Span", "283": "7___CATEGORICAL___Keywords___Linear differential equation", "284": "7___CATEGORICAL___Keywords___Linear differential equation,Homogeneous equation", "285": "7___CATEGORICAL___Keywords___Linear differential equation,Integral curve,Cauchy problem", "286": "7___CATEGORICAL___Keywords___Linear equations,Quadratic equations,Simplify expressions", "287": "7___CATEGORICAL___Keywords___Linear independence,Span,Linear dependence", "288": "7___CATEGORICAL___Keywords___Linear independence,Subspace,Linear combination,Linear dependence,Span", "289": "7___CATEGORICAL___Keywords___Linear programming", "290": "7___CATEGORICAL___Keywords___Linear programming,Assignment problem,Excel solver add-in,Simplex method", "291": "7___CATEGORICAL___Keywords___Linear programming,Excel solver add-in,Simplex method", "292": "7___CATEGORICAL___Keywords___Linear regression", "293": "7___CATEGORICAL___Keywords___Linearity,Invertible linear operator,Composition of linear applications,Linear application", "294": "7___CATEGORICAL___Keywords___Linearity,Linear application", "295": "7___CATEGORICAL___Keywords___Linearity,Matrix of a linear transformation,Linear application", "296": "7___CATEGORICAL___Keywords___Linearly independent rows,Matrix multiplication,Symmetric matrix,Matrix operations,Commuting matrices,Solve matrix equation,Inverse matrix ,Determinant computation,Matrix rank,Determinant properties", "297": "7___CATEGORICAL___Keywords___Linearly independent rows,Matrix rank", "298": "7___CATEGORICAL___Keywords___Locus,Distance", "299": "7___CATEGORICAL___Keywords___Locus,Distance,Scalar product,Cross product,Orthogonality,Collinearity", "300": "7___CATEGORICAL___Keywords___Locus,Scalar product,Cross product,Distance,Collinearity,Orthogonality", "301": "7___CATEGORICAL___Keywords___Logarithmic function,Exponential function,Simplify expressions", "302": "7___CATEGORICAL___Keywords___Logarithmic rule,Power rule,Exponential rule,Trigonometric rules,Product rule", "303": "7___CATEGORICAL___Keywords___Logarithmic rule,Power rule,Trigonometric rules", "304": "7___CATEGORICAL___Keywords___Logarithmic rule,Product rule,Trigonometric rules", "305": "7___CATEGORICAL___Keywords___Logarithmic rule,Trigonometric rules", "306": "7___CATEGORICAL___Keywords___Matrix equivalent - echelon,Matrix rank,Matrix operations,Hermitian matrix,Matrix multiplication,Symmetric matrix,Linearly independent rows,Commuting matrices,Determinant computation,Determinant properties,Inverse matrix ,Solve matrix equation", "307": "7___CATEGORICAL___Keywords___Matrix equivalent - echelon,Matrix rank,Matrix operations,Matrix multiplication,Symmetric matrix,Linearly independent rows,Determinant computation,Commuting matrices,Determinant properties,Inverse matrix ,Solve matrix equation", "308": "7___CATEGORICAL___Keywords___Matrix multiplication,Determinant computation,Determinant properties,Symmetric matrix,Hermitian matrix,Inverse matrix ,Linearly independent rows,Commuting matrices,Solve matrix equation,Matrix operations,Matrix rank,Matrix equivalent - echelon", "309": "7___CATEGORICAL___Keywords___Matrix multiplication,Determinant computation,Determinant properties,Symmetric matrix,Inverse matrix ,Commuting matrices,Solve matrix equation,Matrix operations,Matrix rank", "310": "7___CATEGORICAL___Keywords___Matrix multiplication,Determinant computation,Determinant properties,Symmetric matrix,Inverse matrix ,Linearly independent rows,Commuting matrices,Solve matrix equation,Matrix operations,Matrix rank", "311": "7___CATEGORICAL___Keywords___Matrix multiplication,Symmetric matrix,Matrix operations", "312": "7___CATEGORICAL___Keywords___Matrix multiplication,Symmetric matrix,Matrix operations,Commuting matrices,Solve matrix equation,Inverse matrix ,Determinant computation,Matrix rank,Determinant properties", "313": "7___CATEGORICAL___Keywords___Matrix of a linear transformation", "314": "7___CATEGORICAL___Keywords___Matrix of a linear transformation,Linear application,Linearity", "315": "7___CATEGORICAL___Keywords___Matrix operations,Commuting matrices,Solve matrix equation,Determinant computation,Inverse matrix ,Matrix rank,Determinant properties,Matrix multiplication,Symmetric matrix", "316": "7___CATEGORICAL___Keywords___Matrix operations,Determinant computation,Determinant properties,Inverse matrix", "317": "7___CATEGORICAL___Keywords___Matrix operations,Inverse matrix", "318": "7___CATEGORICAL___Keywords___Matrix operations,Matrix multiplication", "319": "7___CATEGORICAL___Keywords___Matrix operations,Matrix multiplication,Determinant computation,Determinant properties", "320": "7___CATEGORICAL___Keywords___Matrix rank,Linearly independent rows", "321": "7___CATEGORICAL___Keywords___Matrix rank,Matrix operations,Matrix multiplication,Symmetric matrix,Determinant computation,Commuting matrices,Determinant properties,Inverse matrix ,Solve matrix equation", "322": "7___CATEGORICAL___Keywords___Mean,Median,Mode", "323": "7___CATEGORICAL___Keywords___Mean,Median,Outliers,Interquartile range", "324": "7___CATEGORICAL___Keywords___Mean,Variance,Standard deviation,Median,Mode", "325": "7___CATEGORICAL___Keywords___Median,Frequency,Mode,Quantile,Population,Data type,Sample,Relative frequency,Mean,Standard deviation,Variance", "326": "7___CATEGORICAL___Keywords___Minimum,Maximum,Lagrange multipliers,Saddle point,Unconstrained optimization,Second derivative test", "327": "7___CATEGORICAL___Keywords___Minimum,Maximum,Stationary point,Second derivative test,Unconstrained optimization,Saddle point,Optimal solution", "328": "7___CATEGORICAL___Keywords___Minimum,Stationary point,Maximum,Saddle point,Optimal solution", "329": "7___CATEGORICAL___Keywords___Mode,Quantile,Population,Data type,Sample,Mean,Standard deviation,Variance,Median", "330": "7___CATEGORICAL___Keywords___Modulus of a complex number,Algebraic form,Real part,Equations involving complex numbers,Imaginary part,Conjugate number", "331": "7___CATEGORICAL___Keywords___Newton\u2019s interpolation,Polynomial interpolation", "332": "7___CATEGORICAL___Keywords___Newton\u2019s method,Nonlinear equation", "333": "7___CATEGORICAL___Keywords___Nonlinear equation,Newton\u2019s method", "334": "7___CATEGORICAL___Keywords___Nth root,Polar representation,Imaginary part,Complex plane ,Operations with complex numbers,Real part,Principal argument,De Moivre formulas", "335": "7___CATEGORICAL___Keywords___Nth root,Polar representation,Operations with complex numbers,Principal argument,De Moivre formulas", "336": "7___CATEGORICAL___Keywords___Operations with complex numbers", "337": "7___CATEGORICAL___Keywords___Operations with complex numbers,Conjugate number", "338": "7___CATEGORICAL___Keywords___Operations with complex numbers,Imaginary part,Modulus of a complex number,Conjugate number,Real part", "339": "7___CATEGORICAL___Keywords___Operations with complex numbers,Modulus of a complex number,Algebraic form,Principal argument,De Moivre formulas,Polar representation,Trigonometric form", "340": "7___CATEGORICAL___Keywords___Optimal solution,Minimum,Maximum", "341": "7___CATEGORICAL___Keywords___Optimal solution,Minimum,Maximum,Second derivative test,Stationary point,Unconstrained optimization,Saddle point", "342": "7___CATEGORICAL___Keywords___Optimal solution,Minimum,Maximum,Stationary point,Saddle point", "343": "7___CATEGORICAL___Keywords___Optimal solution,Minimum,Stationary point,Maximum,Saddle point", "344": "7___CATEGORICAL___Keywords___Optimal solution,Second derivative test,Minimum,Maximum,Stationary point,Saddle point", "345": "7___CATEGORICAL___Keywords___Optimal solution,Stationary point,Minimum,Maximum,Saddle point", "346": "7___CATEGORICAL___Keywords___Orthogonal projection,Distance,Cross product,Orthogonality", "347": "7___CATEGORICAL___Keywords___Orthogonality", "348": "7___CATEGORICAL___Keywords___Orthogonality,Cross product", "349": "7___CATEGORICAL___Keywords___Orthogonality,Cross product,Distance", "350": "7___CATEGORICAL___Keywords___Orthogonality,Distance,Cross product", "351": "7___CATEGORICAL___Keywords___Orthogonality,Distance,Scalar product", "352": "7___CATEGORICAL___Keywords___Orthogonality,Locus,Scalar product,Cross product,Collinearity", "353": "7___CATEGORICAL___Keywords___Orthogonality,Orthogonal projection,Cross product,Scalar product", "354": "7___CATEGORICAL___Keywords___Orthogonality,Orthogonal projection,Distance", "355": "7___CATEGORICAL___Keywords___Orthogonality,Scalar product", "356": "7___CATEGORICAL___Keywords___Path,Cycle and circuit", "357": "7___CATEGORICAL___Keywords___Path,Simple graph,Cycle and circuit", "358": "7___CATEGORICAL___Keywords___Planar graph", "359": "7___CATEGORICAL___Keywords___Platonic solids", "360": "7___CATEGORICAL___Keywords___Platonic solids,Regular polygon", "361": "7___CATEGORICAL___Keywords___Polar representation,Trigonometric form,Modulus of a complex number,Operations with complex numbers,Algebraic form,Principal argument,De Moivre 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"385": "7___CATEGORICAL___Keywords___Quadratic equations,Simplify expressions,Linear equations", "386": "7___CATEGORICAL___Keywords___Quadrilaterals,Geometrical figures", "387": "7___CATEGORICAL___Keywords___Quadrilaterals,Geometrical figures,Classification of geometrical figures", "388": "7___CATEGORICAL___Keywords___Quadrilaterals,Polygons,Classification of geometrical figures,Geometrical figures", "389": "7___CATEGORICAL___Keywords___Quadrilaterals,Rhombus", "390": "7___CATEGORICAL___Keywords___Quantile,Frequency,Sample,Mean,Variance,Standard deviation,Median,Mode", "391": "7___CATEGORICAL___Keywords___Quantile,Population,Sample,Mean,Variance,Standard deviation,Median,Mode", "392": "7___CATEGORICAL___Keywords___Quotient rule", "393": "7___CATEGORICAL___Keywords___Quotient rule,Product rule,Power rule,Trigonometric rules", "394": "7___CATEGORICAL___Keywords___Quotient rule,Product rule,Trigonometric rules", "395": "7___CATEGORICAL___Keywords___Quotient rule,Trigonometric rules", 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"7___CATEGORICAL___Keywords___Undetermined solution of linear system,Consistent system,Square linear system,Inconsistent system,Solution of linear system", "480": "7___CATEGORICAL___Keywords___Union of sets,Venn diagram,Complement of a set", "481": "7___CATEGORICAL___Keywords___Volume of revolution,Fundamental theorem of Calculus", "482": "7___CATEGORICAL___Keywords___y-simple region (type I),Area ,Cartesian coordinates", "483": "7___CATEGORICAL___Keywords___y-simple region (type I),Cartesian coordinates,Area ,Iterate integrals", "484": "7___CATEGORICAL___Keywords___y-simple region (type I),Cartesian coordinates,Iterate integrals"}, "token2id": {"[UNK]": 0, "[SEP]": 1, "[PAD]": 2, "[CLS]": 3, "[MASK]": 4, "[BOS]": 5, "[EOS]": 6, "[BMEM]": 7, "[EMEM]": 8, "[RMASK]": 9, "[SPTYPE]": 10, "0___NUMERIC___Student ID_00___0": 11, "0___NUMERIC___Student ID_00___1": 12, "0___NUMERIC___Student ID_01___0": 13, "0___NUMERIC___Student ID_01___1": 14, "0___NUMERIC___Student ID_01___2": 15, 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"2___NUMERIC___Question ID_02___1": 64, "2___NUMERIC___Question ID_02___2": 65, "2___NUMERIC___Question ID_02___3": 66, "2___NUMERIC___Question ID_02___4": 67, "2___NUMERIC___Question ID_02___5": 68, "2___NUMERIC___Question ID_02___6": 69, "2___NUMERIC___Question ID_02___7": 70, "2___NUMERIC___Question ID_02___8": 71, "2___NUMERIC___Question ID_02___9": 72, "2___NUMERIC___Question ID_03___0": 73, "2___NUMERIC___Question ID_03___1": 74, "2___NUMERIC___Question ID_03___2": 75, "2___NUMERIC___Question ID_03___3": 76, "2___NUMERIC___Question ID_03___4": 77, "2___NUMERIC___Question ID_03___5": 78, "2___NUMERIC___Question ID_03___6": 79, "2___NUMERIC___Question ID_03___7": 80, "2___NUMERIC___Question ID_03___8": 81, "2___NUMERIC___Question ID_03___9": 82, "3___CATEGORICAL___Type of Answer___0": 83, "3___CATEGORICAL___Type of Answer___1": 84, "4___CATEGORICAL___Question Level___Advanced": 85, "4___CATEGORICAL___Question Level___Basic": 86, "5___CATEGORICAL___Topic___Analytic Geometry": 87, 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Equations": 106, "6___CATEGORICAL___Subtopic___Domain, Image and Graphics": 107, "6___CATEGORICAL___Subtopic___Double Integration": 108, "6___CATEGORICAL___Subtopic___Eigenvalues and Eigenvectors": 109, "6___CATEGORICAL___Subtopic___Elementary Geometry": 110, "6___CATEGORICAL___Subtopic___Graph Theory": 111, "6___CATEGORICAL___Subtopic___Integration Techniques": 112, "6___CATEGORICAL___Subtopic___Limits and Continuity": 113, "6___CATEGORICAL___Subtopic___Linear Optimization": 114, "6___CATEGORICAL___Subtopic___Linear Systems": 115, "6___CATEGORICAL___Subtopic___Linear Transformations": 116, "6___CATEGORICAL___Subtopic___Matrices and Determinants": 117, "6___CATEGORICAL___Subtopic___Nonlinear Optimization": 118, "6___CATEGORICAL___Subtopic___Numerical Methods": 119, "6___CATEGORICAL___Subtopic___Partial Differentiation": 120, "6___CATEGORICAL___Subtopic___Probability": 121, "6___CATEGORICAL___Subtopic___Set Theory": 122, "6___CATEGORICAL___Subtopic___Statistics": 123, "6___CATEGORICAL___Subtopic___Vector Spaces": 124, "7___CATEGORICAL___Keywords___Addition, multiplication, and total probability rules": 125, "7___CATEGORICAL___Keywords___Addition, multiplication, and total probability rules,Independence,Event": 126, "7___CATEGORICAL___Keywords___Addition, multiplication, and total probability rules,Sample space,Event,Axioms of probability": 127, "7___CATEGORICAL___Keywords___Adjacency matrix": 128, "7___CATEGORICAL___Keywords___Adjacency matrix,Simple graph": 129, "7___CATEGORICAL___Keywords___Algebraic form,Principal argument,De Moivre formulas,Polar representation,Operations with complex numbers,Modulus of a complex number,Trigonometric form": 130, "7___CATEGORICAL___Keywords___Algebraic form,Principal argument,De Moivre formulas,Polar representation,Trigonometric form,Operations with complex numbers,Modulus of a complex number": 131, "7___CATEGORICAL___Keywords___Algebraic form,Real part,Equations involving complex numbers,Imaginary part,Conjugate number,Modulus of a complex number": 132, "7___CATEGORICAL___Keywords___Area of a planar region ,Fundamental theorem of Calculus": 133, "7___CATEGORICAL___Keywords___Axioms of probability,Event,Addition, multiplication, and total probability rules,Sample space": 134, "7___CATEGORICAL___Keywords___Axioms of probability,Event,Independence,Addition, multiplication, and total probability rules,Sample space": 135, "7___CATEGORICAL___Keywords___Basis": 136, "7___CATEGORICAL___Keywords___Basis,Dimension": 137, "7___CATEGORICAL___Keywords___Basis,Span": 138, "7___CATEGORICAL___Keywords___Basis,Span,Change-of-basis matrix": 139, "7___CATEGORICAL___Keywords___Basis,Span,Subspace,Linear combination,Dimension": 140, "7___CATEGORICAL___Keywords___Bayes' Theorem,Conditional probability": 141, "7___CATEGORICAL___Keywords___Bernoulli equation,Linear differential equation": 142, "7___CATEGORICAL___Keywords___Cartesian coordinates,x-simple region (type II),Changing order of integration": 143, 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of Calculus": 186, "7___CATEGORICAL___Keywords___Directional derivative,Gradient": 187, "7___CATEGORICAL___Keywords___Directional derivative,Gradient,First order,Second order": 188, "7___CATEGORICAL___Keywords___Distance,Cross product,Orthogonality": 189, "7___CATEGORICAL___Keywords___Distance,Orthogonal projection,Orthogonality": 190, "7___CATEGORICAL___Keywords___Distance,Orthogonality,Locus": 191, "7___CATEGORICAL___Keywords___Distance,Scalar product,Cross product,Orthogonal projection,Orthogonality,Collinearity,Locus": 192, "7___CATEGORICAL___Keywords___Distance,Scalar product,Cross product,Orthogonality": 193, "7___CATEGORICAL___Keywords___Domain": 194, "7___CATEGORICAL___Keywords___Domain,Image of a function": 195, "7___CATEGORICAL___Keywords___Duality theory,Excel solver add-in,Simplex method,Linear programming,Sensitivity analysis,Postoptimality analysis": 196, "7___CATEGORICAL___Keywords___Duality theory,Linear programming": 197, "7___CATEGORICAL___Keywords___Eigenvalue,Diagonalization,Spectrum,Characteristic polynomial": 198, "7___CATEGORICAL___Keywords___Eigenvalue,Eigenvector": 199, "7___CATEGORICAL___Keywords___Eigenvalue,Eigenvector,Diagonalization": 200, "7___CATEGORICAL___Keywords___Eigenvalue,Eigenvector,Spectrum,Characteristic polynomial": 201, "7___CATEGORICAL___Keywords___Eigenvalue,Spectrum,Characteristic polynomial": 202, "7___CATEGORICAL___Keywords___Eigenvalue,Spectrum,Diagonalization,Characteristic polynomial": 203, "7___CATEGORICAL___Keywords___Eigenvalue,Spectrum,Eigenvector,Characteristic polynomial": 204, "7___CATEGORICAL___Keywords___Eigenvector,Eigenvalue": 205, "7___CATEGORICAL___Keywords___Eigenvector,Spectrum,Characteristic polynomial,Diagonalization,Eigenvalue": 206, "7___CATEGORICAL___Keywords___Eigenvector,Spectrum,Characteristic polynomial,Eigenvalue": 207, "7___CATEGORICAL___Keywords___Eigenvector,Spectrum,Characteristic polynomial,Eigenvalue,Diagonalization": 208, 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"7___CATEGORICAL___Keywords___Event,Sample space,Addition, multiplication, and total probability rules,Axioms of probability": 219, "7___CATEGORICAL___Keywords___Exact differential form,Cauchy problem": 220, "7___CATEGORICAL___Keywords___Excel solver add-in,Simplex method,Linear programming": 221, "7___CATEGORICAL___Keywords___Excel solver add-in,Simplex method,Linear programming,Transportation problem": 222, "7___CATEGORICAL___Keywords___Exponential function,Simplify expressions": 223, "7___CATEGORICAL___Keywords___Exponential rule": 224, "7___CATEGORICAL___Keywords___First order": 225, "7___CATEGORICAL___Keywords___First order,Directional derivative": 226, "7___CATEGORICAL___Keywords___First order,Directional derivative,Gradient": 227, "7___CATEGORICAL___Keywords___First order,Gradient": 228, "7___CATEGORICAL___Keywords___First order,Second order": 229, "7___CATEGORICAL___Keywords___Frequency,Mode,Quantile,Population,Data type,Sample,Relative frequency,Mean,Standard 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derivative": 242, "7___CATEGORICAL___Keywords___Graphical method,Linear programming": 243, "7___CATEGORICAL___Keywords___Homogeneous equation": 244, "7___CATEGORICAL___Keywords___Homogeneous equation,Cauchy problem": 245, "7___CATEGORICAL___Keywords___Imaginary part,Complex plane ,Real part": 246, "7___CATEGORICAL___Keywords___Imaginary part,Conjugate number,Modulus of a complex number,Algebraic form,Real part,Equations involving complex numbers": 247, "7___CATEGORICAL___Keywords___Imaginary part,Modulus of a complex number,Algebraic form,Conjugate number,Real part,Equations involving complex numbers": 248, "7___CATEGORICAL___Keywords___Imaginary part,Modulus of a complex number,Conjugate number,Algebraic form,Operations with complex numbers,Real part,Equations involving complex numbers": 249, "7___CATEGORICAL___Keywords___Imaginary part,Modulus of a complex number,Conjugate number,Operations with complex numbers,Real part": 250, "7___CATEGORICAL___Keywords___Imaginary part,Modulus of a complex number,Operations with complex numbers,Conjugate number,Real part": 251, "7___CATEGORICAL___Keywords___Inconsistent system,Solution of linear system,Undetermined solution of linear system,Consistent system": 252, "7___CATEGORICAL___Keywords___Inconsistent system,Solution of linear system,Undetermined solution of linear system,Consistent system,Square linear system": 253, "7___CATEGORICAL___Keywords___Inconsistent system,Solution of linear system,Undetermined solution of linear system,Homogeneous system,Consistent system": 254, "7___CATEGORICAL___Keywords___Inconsistent system,Solution of linear system,Undetermined solution of linear system,Square linear system,Consistent system": 255, "7___CATEGORICAL___Keywords___Inconsistent system,Square linear system,Solution of linear system,Undetermined solution of linear system,Consistent system": 256, "7___CATEGORICAL___Keywords___Indeterminate forms,Limits": 257, "7___CATEGORICAL___Keywords___Injective linear application,Invertible linear operator,Isomorphism": 258, "7___CATEGORICAL___Keywords___Injective linear application,Invertible linear operator,Range,Kernel,Isomorphism": 259, "7___CATEGORICAL___Keywords___Injective linear application,Isomorphism": 260, "7___CATEGORICAL___Keywords___Injective linear application,Range,Kernel,Isomorphism": 261, "7___CATEGORICAL___Keywords___Integration by parts": 262, "7___CATEGORICAL___Keywords___Integration by parts,Fundamental theorem of Calculus": 263, "7___CATEGORICAL___Keywords___Integration by parts,Substitution,Simple integration,Direct inspection": 264, "7___CATEGORICAL___Keywords___Intersection,Cartesian equations of a plane": 265, "7___CATEGORICAL___Keywords___Inverse matrix ,Commuting matrices,Solve matrix equation,Matrix operations,Matrix rank,Determinant computation,Matrix multiplication,Determinant properties,Symmetric matrix": 266, "7___CATEGORICAL___Keywords___Inverse matrix ,Determinant computation,Determinant properties,Matrix operations": 267, "7___CATEGORICAL___Keywords___Invertible linear operator,Isomorphism,Injective linear application": 268, "7___CATEGORICAL___Keywords___Iterate integrals": 269, "7___CATEGORICAL___Keywords___Iterate integrals,Area ,y-simple region (type I),Cartesian coordinates": 270, "7___CATEGORICAL___Keywords___Iterate integrals,Cartesian coordinates,y-simple region (type I)": 271, "7___CATEGORICAL___Keywords___Kernel,Isomorphism,Injective linear application,Range": 272, "7___CATEGORICAL___Keywords___Lagrange multipliers,Maximum,Minimum": 273, "7___CATEGORICAL___Keywords___Lagrange multipliers,Minimum,Maximum,Stationary point": 274, "7___CATEGORICAL___Keywords___Lagrange multipliers,Optimal solution,Minimum,Maximum": 275, "7___CATEGORICAL___Keywords___Lagrange's interpolation,Polynomial interpolation": 276, "7___CATEGORICAL___Keywords___Limits": 277, "7___CATEGORICAL___Keywords___Limits,Indeterminate forms": 278, "7___CATEGORICAL___Keywords___Linear application,Composition of linear applications": 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"7___CATEGORICAL___Keywords___Linear regression": 292, "7___CATEGORICAL___Keywords___Linearity,Invertible linear operator,Composition of linear applications,Linear application": 293, "7___CATEGORICAL___Keywords___Linearity,Linear application": 294, "7___CATEGORICAL___Keywords___Linearity,Matrix of a linear transformation,Linear application": 295, "7___CATEGORICAL___Keywords___Linearly independent rows,Matrix multiplication,Symmetric matrix,Matrix operations,Commuting matrices,Solve matrix equation,Inverse matrix ,Determinant computation,Matrix rank,Determinant properties": 296, "7___CATEGORICAL___Keywords___Linearly independent rows,Matrix rank": 297, "7___CATEGORICAL___Keywords___Locus,Distance": 298, "7___CATEGORICAL___Keywords___Locus,Distance,Scalar product,Cross product,Orthogonality,Collinearity": 299, "7___CATEGORICAL___Keywords___Locus,Scalar product,Cross product,Distance,Collinearity,Orthogonality": 300, "7___CATEGORICAL___Keywords___Logarithmic function,Exponential function,Simplify expressions": 301, "7___CATEGORICAL___Keywords___Logarithmic rule,Power rule,Exponential rule,Trigonometric rules,Product rule": 302, "7___CATEGORICAL___Keywords___Logarithmic rule,Power rule,Trigonometric rules": 303, "7___CATEGORICAL___Keywords___Logarithmic rule,Product rule,Trigonometric rules": 304, "7___CATEGORICAL___Keywords___Logarithmic rule,Trigonometric rules": 305, "7___CATEGORICAL___Keywords___Matrix equivalent - echelon,Matrix rank,Matrix operations,Hermitian matrix,Matrix multiplication,Symmetric matrix,Linearly independent rows,Commuting matrices,Determinant computation,Determinant properties,Inverse matrix ,Solve matrix equation": 306, "7___CATEGORICAL___Keywords___Matrix equivalent - echelon,Matrix rank,Matrix operations,Matrix multiplication,Symmetric matrix,Linearly independent rows,Determinant computation,Commuting matrices,Determinant properties,Inverse matrix ,Solve matrix equation": 307, "7___CATEGORICAL___Keywords___Matrix multiplication,Determinant computation,Determinant properties,Symmetric matrix,Hermitian matrix,Inverse matrix ,Linearly independent rows,Commuting matrices,Solve matrix equation,Matrix operations,Matrix rank,Matrix equivalent - echelon": 308, "7___CATEGORICAL___Keywords___Matrix multiplication,Determinant computation,Determinant properties,Symmetric matrix,Inverse matrix ,Commuting matrices,Solve matrix equation,Matrix operations,Matrix rank": 309, "7___CATEGORICAL___Keywords___Matrix multiplication,Determinant computation,Determinant properties,Symmetric matrix,Inverse matrix ,Linearly independent rows,Commuting matrices,Solve matrix equation,Matrix operations,Matrix rank": 310, "7___CATEGORICAL___Keywords___Matrix multiplication,Symmetric matrix,Matrix operations": 311, "7___CATEGORICAL___Keywords___Matrix multiplication,Symmetric matrix,Matrix operations,Commuting matrices,Solve matrix equation,Inverse matrix ,Determinant computation,Matrix rank,Determinant properties": 312, "7___CATEGORICAL___Keywords___Matrix of a linear transformation": 313, "7___CATEGORICAL___Keywords___Matrix of a linear transformation,Linear application,Linearity": 314, "7___CATEGORICAL___Keywords___Matrix operations,Commuting matrices,Solve matrix equation,Determinant computation,Inverse matrix ,Matrix rank,Determinant properties,Matrix multiplication,Symmetric matrix": 315, "7___CATEGORICAL___Keywords___Matrix operations,Determinant computation,Determinant properties,Inverse matrix": 316, "7___CATEGORICAL___Keywords___Matrix operations,Inverse matrix": 317, "7___CATEGORICAL___Keywords___Matrix operations,Matrix multiplication": 318, "7___CATEGORICAL___Keywords___Matrix operations,Matrix multiplication,Determinant computation,Determinant properties": 319, "7___CATEGORICAL___Keywords___Matrix rank,Linearly independent rows": 320, "7___CATEGORICAL___Keywords___Matrix rank,Matrix operations,Matrix multiplication,Symmetric matrix,Determinant computation,Commuting matrices,Determinant properties,Inverse matrix ,Solve matrix equation": 321, "7___CATEGORICAL___Keywords___Mean,Median,Mode": 322, "7___CATEGORICAL___Keywords___Mean,Median,Outliers,Interquartile range": 323, "7___CATEGORICAL___Keywords___Mean,Variance,Standard deviation,Median,Mode": 324, "7___CATEGORICAL___Keywords___Median,Frequency,Mode,Quantile,Population,Data type,Sample,Relative frequency,Mean,Standard deviation,Variance": 325, "7___CATEGORICAL___Keywords___Minimum,Maximum,Lagrange multipliers,Saddle point,Unconstrained optimization,Second derivative test": 326, "7___CATEGORICAL___Keywords___Minimum,Maximum,Stationary point,Second derivative test,Unconstrained optimization,Saddle point,Optimal solution": 327, "7___CATEGORICAL___Keywords___Minimum,Stationary point,Maximum,Saddle point,Optimal solution": 328, "7___CATEGORICAL___Keywords___Mode,Quantile,Population,Data type,Sample,Mean,Standard deviation,Variance,Median": 329, "7___CATEGORICAL___Keywords___Modulus of a complex number,Algebraic form,Real part,Equations involving complex numbers,Imaginary part,Conjugate number": 330, "7___CATEGORICAL___Keywords___Newton\u2019s interpolation,Polynomial interpolation": 331, "7___CATEGORICAL___Keywords___Newton\u2019s method,Nonlinear equation": 332, "7___CATEGORICAL___Keywords___Nonlinear equation,Newton\u2019s method": 333, "7___CATEGORICAL___Keywords___Nth root,Polar representation,Imaginary part,Complex plane ,Operations with complex numbers,Real part,Principal argument,De Moivre formulas": 334, "7___CATEGORICAL___Keywords___Nth root,Polar representation,Operations with complex numbers,Principal argument,De Moivre formulas": 335, "7___CATEGORICAL___Keywords___Operations with complex numbers": 336, "7___CATEGORICAL___Keywords___Operations with complex numbers,Conjugate number": 337, "7___CATEGORICAL___Keywords___Operations with complex numbers,Imaginary part,Modulus of a complex number,Conjugate number,Real part": 338, "7___CATEGORICAL___Keywords___Operations with complex numbers,Modulus of a complex number,Algebraic form,Principal argument,De Moivre formulas,Polar representation,Trigonometric form": 339, "7___CATEGORICAL___Keywords___Optimal solution,Minimum,Maximum": 340, "7___CATEGORICAL___Keywords___Optimal solution,Minimum,Maximum,Second derivative test,Stationary point,Unconstrained optimization,Saddle point": 341, "7___CATEGORICAL___Keywords___Optimal solution,Minimum,Maximum,Stationary point,Saddle point": 342, "7___CATEGORICAL___Keywords___Optimal solution,Minimum,Stationary point,Maximum,Saddle point": 343, "7___CATEGORICAL___Keywords___Optimal solution,Second derivative test,Minimum,Maximum,Stationary point,Saddle point": 344, "7___CATEGORICAL___Keywords___Optimal solution,Stationary point,Minimum,Maximum,Saddle point": 345, "7___CATEGORICAL___Keywords___Orthogonal projection,Distance,Cross product,Orthogonality": 346, "7___CATEGORICAL___Keywords___Orthogonality": 347, "7___CATEGORICAL___Keywords___Orthogonality,Cross product": 348, "7___CATEGORICAL___Keywords___Orthogonality,Cross product,Distance": 349, "7___CATEGORICAL___Keywords___Orthogonality,Distance,Cross product": 350, "7___CATEGORICAL___Keywords___Orthogonality,Distance,Scalar product": 351, "7___CATEGORICAL___Keywords___Orthogonality,Locus,Scalar product,Cross product,Collinearity": 352, "7___CATEGORICAL___Keywords___Orthogonality,Orthogonal projection,Cross product,Scalar product": 353, "7___CATEGORICAL___Keywords___Orthogonality,Orthogonal projection,Distance": 354, "7___CATEGORICAL___Keywords___Orthogonality,Scalar product": 355, "7___CATEGORICAL___Keywords___Path,Cycle and circuit": 356, "7___CATEGORICAL___Keywords___Path,Simple graph,Cycle and circuit": 357, "7___CATEGORICAL___Keywords___Planar graph": 358, "7___CATEGORICAL___Keywords___Platonic solids": 359, "7___CATEGORICAL___Keywords___Platonic solids,Regular polygon": 360, "7___CATEGORICAL___Keywords___Polar representation,Trigonometric form,Modulus of a complex number,Operations with complex numbers,Algebraic form,Principal argument,De Moivre formulas": 361, "7___CATEGORICAL___Keywords___Polygons": 362, "7___CATEGORICAL___Keywords___Polygons,Geometric transformations,Geometrical figures": 363, "7___CATEGORICAL___Keywords___Polygons,Geometrical figures": 364, "7___CATEGORICAL___Keywords___Polygons,Regular polygon": 365, "7___CATEGORICAL___Keywords___Polygons,Triangles": 366, "7___CATEGORICAL___Keywords___Polyhedrons,Geometric solids,Classification of geometric solids": 367, "7___CATEGORICAL___Keywords___Polyhedrons,Platonic solids,Geometric solids": 368, "7___CATEGORICAL___Keywords___Polynomial interpolation,Lagrange's interpolation": 369, "7___CATEGORICAL___Keywords___Polynomial interpolation,Newton\u2019s interpolation": 370, "7___CATEGORICAL___Keywords___Population,Sample": 371, "7___CATEGORICAL___Keywords___Population,Variance,Median,Standard deviation,Mode,Quantile,Sample,Mean": 372, "7___CATEGORICAL___Keywords___Postoptimality analysis,Duality theory,Excel solver add-in,Simplex method,Linear programming,Sensitivity analysis": 373, "7___CATEGORICAL___Keywords___Power of trigonometric functions": 374, "7___CATEGORICAL___Keywords___Power rule,Product rule": 375, "7___CATEGORICAL___Keywords___Power rule,Quotient rule,Product rule,Trigonometric rules": 376, "7___CATEGORICAL___Keywords___Power rule,Trigonometric rules,Logarithmic rule": 377, "7___CATEGORICAL___Keywords___Power rule,Trigonometric rules,Logarithmic rule,First order": 378, "7___CATEGORICAL___Keywords___Principal argument,Trigonometric form,Modulus of a complex number,Algebraic form": 379, "7___CATEGORICAL___Keywords___Product rule,Logarithmic rule,Trigonometric rules": 380, "7___CATEGORICAL___Keywords___Product rule,Trigonometric rules": 381, "7___CATEGORICAL___Keywords___Product rule,Trigonometric rules,Exponential rule": 382, "7___CATEGORICAL___Keywords___Product rule,Trigonometric rules,Logarithmic rule": 383, "7___CATEGORICAL___Keywords___Product rule,Trigonometric rules,Quotient rule": 384, "7___CATEGORICAL___Keywords___Quadratic equations,Simplify expressions,Linear equations": 385, "7___CATEGORICAL___Keywords___Quadrilaterals,Geometrical figures": 386, "7___CATEGORICAL___Keywords___Quadrilaterals,Geometrical figures,Classification of geometrical figures": 387, "7___CATEGORICAL___Keywords___Quadrilaterals,Polygons,Classification of geometrical figures,Geometrical figures": 388, "7___CATEGORICAL___Keywords___Quadrilaterals,Rhombus": 389, "7___CATEGORICAL___Keywords___Quantile,Frequency,Sample,Mean,Variance,Standard deviation,Median,Mode": 390, "7___CATEGORICAL___Keywords___Quantile,Population,Sample,Mean,Variance,Standard deviation,Median,Mode": 391, "7___CATEGORICAL___Keywords___Quotient rule": 392, "7___CATEGORICAL___Keywords___Quotient rule,Product rule,Power rule,Trigonometric rules": 393, "7___CATEGORICAL___Keywords___Quotient rule,Product rule,Trigonometric rules": 394, "7___CATEGORICAL___Keywords___Quotient rule,Trigonometric rules": 395, "7___CATEGORICAL___Keywords___Quotient rule,Trigonometric rules,Logarithmic rule,Product rule": 396, "7___CATEGORICAL___Keywords___Range,Kernel": 397, "7___CATEGORICAL___Keywords___Range,Kernel,Isomorphism": 398, "7___CATEGORICAL___Keywords___Range,Kernel,Isomorphism,Injective linear application": 399, "7___CATEGORICAL___Keywords___Range,Kernel,Matrix of a linear transformation": 400, "7___CATEGORICAL___Keywords___Rational functions": 401, "7___CATEGORICAL___Keywords___Real part,Operations with complex numbers,Imaginary part,Modulus of a complex number,Conjugate number": 402, "7___CATEGORICAL___Keywords___Rotation,Linear application": 403, "7___CATEGORICAL___Keywords___Saddle point,Optimal solution,Minimum,Maximum,Stationary point": 404, "7___CATEGORICAL___Keywords___Sample space,Addition, multiplication, and total probability rules,Axioms of probability,Event": 405, "7___CATEGORICAL___Keywords___Sample space,Addition, multiplication, and total probability rules,Event,Axioms of probability": 406, "7___CATEGORICAL___Keywords___Sample space,Event": 407, "7___CATEGORICAL___Keywords___Sample,Population,Mean,Variance,Standard deviation,Median,Mode,Quantile": 408, "7___CATEGORICAL___Keywords___Scalar product,Orthogonality,Orthogonal projection,Distance": 409, "7___CATEGORICAL___Keywords___Second order": 410, "7___CATEGORICAL___Keywords___Second order,First order": 411, "7___CATEGORICAL___Keywords___Sensitivity analysis,Postoptimality analysis,Duality theory,Excel solver add-in,Simplex method,Linear programming": 412, "7___CATEGORICAL___Keywords___Separable variables equation": 413, "7___CATEGORICAL___Keywords___Shortest path,Tree,Spanning tree,Path": 414, "7___CATEGORICAL___Keywords___Simple graph": 415, "7___CATEGORICAL___Keywords___Simple graph,Adjacency matrix": 416, "7___CATEGORICAL___Keywords___Simple integration,Direct inspection": 417, "7___CATEGORICAL___Keywords___Simplex method,Duality theory": 418, "7___CATEGORICAL___Keywords___Simplex method,Linear programming,Assignment problem,Excel solver add-in": 419, "7___CATEGORICAL___Keywords___Simplify expressions": 420, "7___CATEGORICAL___Keywords___Simplify expressions,Exponential function": 421, "7___CATEGORICAL___Keywords___Simplify expressions,Linear equations,Quadratic equations": 422, "7___CATEGORICAL___Keywords___Simplify expressions,Logarithmic function": 423, "7___CATEGORICAL___Keywords___Solution of linear system,Undetermined solution of linear system,Consistent system,Square linear system,Inconsistent system": 424, "7___CATEGORICAL___Keywords___Solution of linear system,Undetermined solution of linear system,Square linear system,Consistent system,Inconsistent system": 425, "7___CATEGORICAL___Keywords___Solve matrix equation,Matrix equivalent - echelon,Inverse matrix ,Determinant computation,Determinant properties,Matrix rank,Hermitian matrix,Matrix operations,Symmetric matrix,Matrix multiplication,Linearly independent rows,Commuting matrices": 426, 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b/syntheticSuccess/c6/realtabformer/rtf-c6-20260329_231509/staged/public/train.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7d8f85a52de0e63e292778c26cb06223383b366c589d4226c3de68b111ba5272 +size 849500 diff --git a/syntheticSuccess/c6/realtabformer/rtf-c6-20260329_231509/staged/public/val.csv b/syntheticSuccess/c6/realtabformer/rtf-c6-20260329_231509/staged/public/val.csv new file mode 100644 index 0000000000000000000000000000000000000000..400c35bc93bd5a660ae20c7574c7bea7bc24035f --- /dev/null +++ b/syntheticSuccess/c6/realtabformer/rtf-c6-20260329_231509/staged/public/val.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9ede9f1e2036e743d822e8ed8d7b5e1050159e8fc7b402b758a294f7a14528fe +size 108137 diff --git a/syntheticSuccess/c6/realtabformer/rtf-c6-20260329_231509/staged/realtabformer/adapter_report.json b/syntheticSuccess/c6/realtabformer/rtf-c6-20260329_231509/staged/realtabformer/adapter_report.json new file mode 100644 index 0000000000000000000000000000000000000000..dc3dffd82a7729d0af521c031d72e0b8a61d459c --- /dev/null +++ b/syntheticSuccess/c6/realtabformer/rtf-c6-20260329_231509/staged/realtabformer/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/c6/realtabformer/rtf-c6-20260329_231509/staged/realtabformer/model_input_manifest.json" +} \ No newline at end of file diff --git a/syntheticSuccess/c6/realtabformer/rtf-c6-20260329_231509/staged/realtabformer/adapter_transforms_applied.json b/syntheticSuccess/c6/realtabformer/rtf-c6-20260329_231509/staged/realtabformer/adapter_transforms_applied.json new file mode 100644 index 0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc --- /dev/null +++ b/syntheticSuccess/c6/realtabformer/rtf-c6-20260329_231509/staged/realtabformer/adapter_transforms_applied.json @@ -0,0 +1 @@ +[] \ No newline at end of file diff --git a/syntheticSuccess/c6/realtabformer/rtf-c6-20260329_231509/staged/realtabformer/model_input_manifest.json b/syntheticSuccess/c6/realtabformer/rtf-c6-20260329_231509/staged/realtabformer/model_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5d1a15ab6182f0b4df2106846605c15d90603828 --- /dev/null +++ b/syntheticSuccess/c6/realtabformer/rtf-c6-20260329_231509/staged/realtabformer/model_input_manifest.json @@ -0,0 +1,176 @@ +{ + "dataset_id": "c6", + "model": "realtabformer", + "target_column": "Type of Answer", + "task_type": "classification", + "column_schema": [ + { + "name": "Student ID", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 367, + "unique_ratio": 0.048062, + "example_values": [ + "473", + "351", + "967", + "1557", + "394" + ] + } + }, + { + "name": "Student Country", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 8, + "unique_ratio": 0.001048, + "example_values": [ + "Portugal", + "Italy", + "Lithuania", + "Slovenia", + "Ireland" + ] + } + }, + { + "name": "Question ID", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 796, + "unique_ratio": 0.104243, + "example_values": [ + "346", + "796", + "453", + "87", + "325" + ] + } + }, + { + "name": "Type of Answer", + "role": "target", + "semantic_type": "boolean", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000262, + "example_values": [ + "0", + "1" + ] + } + }, + { + "name": "Question Level", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000262, + "example_values": [ + "Advanced", + "Basic" + ] + } + }, + { + "name": "Topic", + "role": "feature", + "semantic_type": "text", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "keep_raw", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 14, + "unique_ratio": 0.001833, + "example_values": [ + "Complex Numbers", + "Fundamental Mathematics", + "Linear Algebra", + "Real Functions of a single variable", + "Analytic Geometry" + ] + } + }, + { + "name": "Subtopic", + "role": "feature", + "semantic_type": "text", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "keep_raw", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 24, + "unique_ratio": 0.003143, + "example_values": [ + "Complex Numbers", + "Algebraic expressions, Equations, and Inequalities", + "Vector Spaces", + "Limits and Continuity", + "Linear Transformations" + ] + } + }, + { + "name": "Keywords", + "role": "feature", + "semantic_type": "text", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "keep_raw", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 360, + "unique_ratio": 0.047145, + "example_values": [ + "Imaginary part,Modulus of a complex number,Operations with complex numbers,Conjugate number,Real part", + "Logarithmic function,Exponential function,Simplify expressions", + "Linear independence,Span,Linear dependence", + "Indeterminate forms,Limits", + "Range,Kernel" + ] + } + } + ], + "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/realtabformer/rtf-c6-20260329_231509/public_gate/staged_input_manifest.json", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/realtabformer/rtf-c6-20260329_231509/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/realtabformer/rtf-c6-20260329_231509/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/realtabformer/rtf-c6-20260329_231509/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/realtabformer/rtf-c6-20260329_231509/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/realtabformer/rtf-c6-20260329_231509/public_gate/public_gate_report.json" +} \ No newline at end of file diff --git a/syntheticSuccess/c6/realtabformer/rtf-c6-20260329_231509/train_20260329_231510.log b/syntheticSuccess/c6/realtabformer/rtf-c6-20260329_231509/train_20260329_231510.log new file mode 100644 index 0000000000000000000000000000000000000000..fa118b4d7a0802943254fc81ad857bb8d7bb5fbb --- /dev/null +++ b/syntheticSuccess/c6/realtabformer/rtf-c6-20260329_231509/train_20260329_231510.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c593588546caea885c8bc0ad25f9b58eece87a5d47e6b0e2e9106d460b86ee73 +size 1707182 diff --git a/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/_tabpfgen_generate.py b/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/_tabpfgen_generate.py new file mode 100644 index 0000000000000000000000000000000000000000..81c455fceb9b5f12ce687ca301ed5ec568530e91 --- /dev/null +++ b/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/_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/output-SpecializedModels/c6/tabpfgen/tabpfgen-c6-20260422_200030/staged/public/train.csv") +target_col = "Type of Answer" + +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(7636) + +# 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_classification") +X_syn, y_syn = gen.generate_classification(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/output-SpecializedModels/c6/tabpfgen/tabpfgen-c6-20260422_200030/tabpfgen-c6-7636-20260422_200031.csv", index=False) +print(f"[TabPFGen] Saved {len(syn_df)} rows -> /work/output-SpecializedModels/c6/tabpfgen/tabpfgen-c6-20260422_200030/tabpfgen-c6-7636-20260422_200031.csv") diff --git a/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/gen_20260422_200031.log b/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/gen_20260422_200031.log new file mode 100644 index 0000000000000000000000000000000000000000..f75d2152745a77546ea955907aeb513f6affeec0 --- /dev/null +++ b/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/gen_20260422_200031.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1d65d5950faf566e7ef8d39c6ddadf94d7bbf941e054206d7a551feb4955217e +size 755 diff --git a/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/input_snapshot.json b/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..0c7e627ff39f71f89cfcfe7d5c87dd7ae0e7a960 --- /dev/null +++ b/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/input_snapshot.json @@ -0,0 +1,36 @@ +{ + "dataset_id": "c6", + "model": "tabpfgen", + "inputs": { + "train_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c6/c6-train.csv", + "exists": true, + "size": 849500, + "sha256": "7d8f85a52de0e63e292778c26cb06223383b366c589d4226c3de68b111ba5272" + }, + "val_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c6/c6-val.csv", + "exists": true, + "size": 108137, + "sha256": "9ede9f1e2036e743d822e8ed8d7b5e1050159e8fc7b402b758a294f7a14528fe" + }, + "test_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c6/c6-test.csv", + "exists": true, + "size": 107696, + "sha256": "d28b60b361526450f0c203ddf50498854cb66ad5c1978516a99c265f529f8e4f" + }, + "profile_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c6/c6-dataset_profile.json", + "exists": true, + "size": 4145, + "sha256": "70c4d3f4f544b9bff7543f502136d9b1403d8589ad5ef0a9695842d8ef9d5185" + }, + "contract_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c6/c6-dataset_contract_v1.json", + "exists": true, + "size": 4740, + "sha256": "602750e8159221cf97836d44d530098411b5f2cd6fc47c06776171da79d06593" + } + } +} \ No newline at end of file diff --git a/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/public_gate/normalized_schema_snapshot.json b/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/public_gate/normalized_schema_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..62de672c6242a8fe33594746bc19ea183e203ce7 --- /dev/null +++ b/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/public_gate/normalized_schema_snapshot.json @@ -0,0 +1,169 @@ +{ + "dataset_id": "c6", + "target_column": "Type of Answer", + "task_type": "classification", + "columns": [ + { + "name": "Student ID", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 367, + "unique_ratio": 0.048062, + "example_values": [ + "473", + "351", + "967", + "1557", + "394" + ] + } + }, + { + "name": "Student Country", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 8, + "unique_ratio": 0.001048, + "example_values": [ + "Portugal", + "Italy", + "Lithuania", + "Slovenia", + "Ireland" + ] + } + }, + { + "name": "Question ID", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 796, + "unique_ratio": 0.104243, + "example_values": [ + "346", + "796", + "453", + "87", + "325" + ] + } + }, + { + "name": "Type of Answer", + "role": "target", + "semantic_type": "boolean", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000262, + "example_values": [ + "0", + "1" + ] + } + }, + { + "name": "Question Level", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "mode", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 2, + "unique_ratio": 0.000262, + "example_values": [ + "Advanced", + "Basic" + ] + } + }, + { + "name": "Topic", + "role": "feature", + "semantic_type": "text", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "keep_raw", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 14, + "unique_ratio": 0.001833, + "example_values": [ + "Complex Numbers", + "Fundamental Mathematics", + "Linear Algebra", + "Real Functions of a single variable", + "Analytic Geometry" + ] + } + }, + { + "name": "Subtopic", + "role": "feature", + "semantic_type": "text", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "keep_raw", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 24, + "unique_ratio": 0.003143, + "example_values": [ + "Complex Numbers", + "Algebraic expressions, Equations, and Inequalities", + "Vector Spaces", + "Limits and Continuity", + "Linear Transformations" + ] + } + }, + { + "name": "Keywords", + "role": "feature", + "semantic_type": "text", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "keep_raw", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 360, + "unique_ratio": 0.047145, + "example_values": [ + "Imaginary part,Modulus of a complex number,Operations with complex numbers,Conjugate number,Real part", + "Logarithmic function,Exponential function,Simplify expressions", + "Linear independence,Span,Linear dependence", + "Indeterminate forms,Limits", + "Range,Kernel" + ] + } + } + ] +} \ No newline at end of file diff --git a/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/public_gate/public_gate_report.json b/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/public_gate/public_gate_report.json new file mode 100644 index 0000000000000000000000000000000000000000..68d5e4a7e5533d3434a96c463bb1367c9d25256e --- /dev/null +++ b/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/public_gate/public_gate_report.json @@ -0,0 +1,37 @@ +{ + "dataset_id": "c6", + "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": "Type of Answer", + "task_type": "classification", + "input_splits": { + "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c6/c6-train.csv", + "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c6/c6-val.csv", + "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c6/c6-test.csv" + } +} \ No newline at end of file diff --git a/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/public_gate/staged_input_manifest.json b/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/public_gate/staged_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7b25db05fad1406ffa89a01909d8f790dc89033d --- /dev/null +++ b/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/public_gate/staged_input_manifest.json @@ -0,0 +1,174 @@ +{ + "dataset_id": "c6", + "target_column": "Type of Answer", + "task_type": "classification", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/tabpfgen/tabpfgen-c6-20260422_200030/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/tabpfgen/tabpfgen-c6-20260422_200030/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/tabpfgen/tabpfgen-c6-20260422_200030/staged/public/test.csv", + "features_json": 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b/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/staged/public/staged_features.json @@ -0,0 +1,42 @@ +[ + { + "feature_name": "Student ID", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "Student Country", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "Question ID", + "data_type": "continuous", + "is_target": false + }, + { + "feature_name": "Type of Answer", + "data_type": "binary", + "is_target": true + }, + { + "feature_name": "Question Level", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "Topic", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "Subtopic", + "data_type": "categorical", + "is_target": false + }, + { + "feature_name": "Keywords", + "data_type": "categorical", + "is_target": false + } +] \ No newline at end of file diff --git a/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/staged/public/test.csv 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a/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/staged/public/val.csv b/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/staged/public/val.csv new file mode 100644 index 0000000000000000000000000000000000000000..400c35bc93bd5a660ae20c7574c7bea7bc24035f --- /dev/null +++ b/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/staged/public/val.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9ede9f1e2036e743d822e8ed8d7b5e1050159e8fc7b402b758a294f7a14528fe +size 108137 diff --git a/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/staged/tabpfgen/adapter_report.json b/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/staged/tabpfgen/adapter_report.json new file mode 100644 index 0000000000000000000000000000000000000000..d235ea9404787f536c0b249809f9182c3e8af065 --- /dev/null +++ b/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/staged/tabpfgen/adapter_report.json @@ -0,0 +1,7 @@ +{ + "adapter_ready_status": "pass", + 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b/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/staged/tabpfgen/model_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9d1e41dc7fa8118b59dec275dde6e9950156a412 --- /dev/null +++ b/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/staged/tabpfgen/model_input_manifest.json @@ -0,0 +1,176 @@ +{ + "dataset_id": "c6", + "model": "tabpfgen", + "target_column": "Type of Answer", + "task_type": "classification", + "column_schema": [ + { + "name": "Student ID", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "median", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 367, + "unique_ratio": 0.048062, + "example_values": [ + "473", + "351", + "967", + "1557", + "394" + ] + } + }, + { + "name": "Student Country", + "role": "feature", + "semantic_type": "categorical", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + 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expressions, Equations, and Inequalities", + "Vector Spaces", + "Limits and Continuity", + "Linear Transformations" + ] + } + }, + { + "name": "Keywords", + "role": "feature", + "semantic_type": "text", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "keep_raw", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 360, + "unique_ratio": 0.047145, + "example_values": [ + "Imaginary part,Modulus of a complex number,Operations with complex numbers,Conjugate number,Real part", + "Logarithmic function,Exponential function,Simplify expressions", + "Linear independence,Span,Linear dependence", + "Indeterminate forms,Limits", + "Range,Kernel" + ] + } + } + ], + "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/tabpfgen/tabpfgen-c6-20260422_200030/public_gate/staged_input_manifest.json", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/tabpfgen/tabpfgen-c6-20260422_200030/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/tabpfgen/tabpfgen-c6-20260422_200030/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/tabpfgen/tabpfgen-c6-20260422_200030/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/tabpfgen/tabpfgen-c6-20260422_200030/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/tabpfgen/tabpfgen-c6-20260422_200030/public_gate/public_gate_report.json" +} \ No newline at end of file diff --git a/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/tabpfgen-c6-7636-20260422_200031.csv b/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/tabpfgen-c6-7636-20260422_200031.csv new file mode 100644 index 0000000000000000000000000000000000000000..021959e873ef57e4492b9bdea06695154cbf308c --- /dev/null +++ b/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/tabpfgen-c6-7636-20260422_200031.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8963481e4274e605ae74329f65a056375b21220d0504731be311b0f07d54bd79 +size 937173 diff --git a/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/tabpfgen_meta.json b/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/tabpfgen_meta.json new file mode 100644 index 0000000000000000000000000000000000000000..2447cf3a09e60e72f96bbd1be477198ae1d3847d --- /dev/null +++ b/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/tabpfgen_meta.json @@ -0,0 +1,8 @@ +{ + "csv_path": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/tabpfgen/tabpfgen-c6-20260422_200030/staged/public/train.csv", + "json_path": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/tabpfgen/tabpfgen-c6-20260422_200030/staged/public/staged_features.json", + "target_col": "Type of Answer", + "is_classification": true, + "n_rows": 7636, + "n_cols": 8 +} \ No newline at end of file diff --git a/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/train_20260422_200031.log b/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/train_20260422_200031.log new file mode 100644 index 0000000000000000000000000000000000000000..b93c930ddc815ba46d1bb6eb19596459b61beaab --- /dev/null +++ b/syntheticSuccess/c6/tabpfgen/tabpfgen-c6-20260422_200030/train_20260422_200031.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a1ed7933d5831d5ec40f319c21e4ce5dafafa2166700dd37d1a5a31442854fa5 +size 186 diff --git a/syntheticSuccess/c6/tabsyn/tabsyn-c6-20260420_233446/_tabsyn_sample.py b/syntheticSuccess/c6/tabsyn/tabsyn-c6-20260420_233446/_tabsyn_sample.py new file mode 100644 index 0000000000000000000000000000000000000000..552062cc758748896d2a6feacbdb76f140c7d4a8 --- /dev/null +++ b/syntheticSuccess/c6/tabsyn/tabsyn-c6-20260420_233446/_tabsyn_sample.py @@ -0,0 +1,39 @@ +import os, sys, subprocess + +work_dir = "/work/output-SpecializedModels/c6/tabsyn/tabsyn-c6-20260420_233446" +dataname = "tabsyn_c6" +output_csv = "/work/output-SpecializedModels/c6/tabsyn/tabsyn-c6-20260420_233446/tabsyn-c6-7636-20260421_005324.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 7636 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/syntheticSuccess/c6/tabsyn/tabsyn-c6-20260420_233446/_tabsyn_train.py b/syntheticSuccess/c6/tabsyn/tabsyn-c6-20260420_233446/_tabsyn_train.py new file mode 100644 index 0000000000000000000000000000000000000000..840e9d935cf98bf91297aa2cd27dcc1f16c15f6f --- /dev/null +++ b/syntheticSuccess/c6/tabsyn/tabsyn-c6-20260420_233446/_tabsyn_train.py @@ -0,0 +1,62 @@ +import os, sys, subprocess + +work_dir = "/work/output-SpecializedModels/c6/tabsyn/tabsyn-c6-20260420_233446" +dataname = "tabsyn_c6" +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/syntheticSuccess/c6/tabsyn/tabsyn-c6-20260420_233446/data/tabsyn_c6/X_cat_test.npy 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0000000000000000000000000000000000000000..0637a088a01e8ddab3bf3fa98dbe804cbde1a0dc --- /dev/null +++ b/syntheticSuccess/c6/tabsyn/tabsyn-c6-20260420_233446/staged/tabsyn/adapter_transforms_applied.json @@ -0,0 +1 @@ +[] \ No newline at end of file diff --git a/syntheticSuccess/c6/tabsyn/tabsyn-c6-20260420_233446/staged/tabsyn/model_input_manifest.json b/syntheticSuccess/c6/tabsyn/tabsyn-c6-20260420_233446/staged/tabsyn/model_input_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..20d7d83df00f9354b1d617a6c06539ccbecbdaed --- /dev/null +++ b/syntheticSuccess/c6/tabsyn/tabsyn-c6-20260420_233446/staged/tabsyn/model_input_manifest.json @@ -0,0 +1,176 @@ +{ + "dataset_id": "c6", + "model": "tabsyn", + "target_column": "Type of Answer", + "task_type": "classification", + "column_schema": [ + { + "name": "Student ID", + "role": "feature", + "semantic_type": "numeric", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": 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] + } + }, + { + "name": "Subtopic", + "role": "feature", + "semantic_type": "text", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "keep_raw", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 24, + "unique_ratio": 0.003143, + "example_values": [ + "Complex Numbers", + "Algebraic expressions, Equations, and Inequalities", + "Vector Spaces", + "Limits and Continuity", + "Linear Transformations" + ] + } + }, + { + "name": "Keywords", + "role": "feature", + "semantic_type": "text", + "nullable": false, + "missing_tokens": [], + "parse_format": null, + "impute_strategy": "keep_raw", + "profile_stats": { + "missing_rate": 0.0, + "unique_count": 360, + "unique_ratio": 0.047145, + "example_values": [ + "Imaginary part,Modulus of a complex number,Operations with complex numbers,Conjugate number,Real part", + "Logarithmic function,Exponential function,Simplify expressions", + "Linear independence,Span,Linear dependence", + "Indeterminate forms,Limits", + "Range,Kernel" + ] + } + } + ], + "public_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/tabsyn/tabsyn-c6-20260420_233446/public_gate/staged_input_manifest.json", + "train_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/tabsyn/tabsyn-c6-20260420_233446/staged/public/train.csv", + "val_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/tabsyn/tabsyn-c6-20260420_233446/staged/public/val.csv", + "test_csv": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/tabsyn/tabsyn-c6-20260420_233446/staged/public/test.csv", + "features_json": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/tabsyn/tabsyn-c6-20260420_233446/staged/public/staged_features.json", + "public_gate_report": "/data/jialinzhang/SynthesizePipeline-server/output-SpecializedModels/c6/tabsyn/tabsyn-c6-20260420_233446/public_gate/public_gate_report.json" +} \ No newline at end of file diff --git a/syntheticSuccess/c6/tabsyn/tabsyn-c6-20260420_233446/synthetic/tabsyn_c6/real.csv b/syntheticSuccess/c6/tabsyn/tabsyn-c6-20260420_233446/synthetic/tabsyn_c6/real.csv new file mode 100644 index 0000000000000000000000000000000000000000..b7f52b79330725b9bdfe01f663b23524b8667c80 --- /dev/null +++ b/syntheticSuccess/c6/tabsyn/tabsyn-c6-20260420_233446/synthetic/tabsyn_c6/real.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d443bf984dd72344aa05dd81b0296e2c5994be8118d9f87bb1434e6b886bdb8c +size 187468 diff --git a/syntheticSuccess/c6/tabsyn/tabsyn-c6-20260420_233446/synthetic/tabsyn_c6/test.csv b/syntheticSuccess/c6/tabsyn/tabsyn-c6-20260420_233446/synthetic/tabsyn_c6/test.csv new file mode 100644 index 0000000000000000000000000000000000000000..5e9f7585fb29d425bcdfa49aee86a63c0ab87fcc --- /dev/null +++ b/syntheticSuccess/c6/tabsyn/tabsyn-c6-20260420_233446/synthetic/tabsyn_c6/test.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c20f3927c241a291fa290d7cadd2432a4179c30f0eaa175061c5aab839ea80e4 +size 20915 diff --git a/syntheticSuccess/c6/tabsyn/tabsyn-c6-20260420_233446/tabsyn-c6-7636-20260421_005324.csv b/syntheticSuccess/c6/tabsyn/tabsyn-c6-20260420_233446/tabsyn-c6-7636-20260421_005324.csv new file mode 100644 index 0000000000000000000000000000000000000000..5dbcf41fd4931280ca50b59d796bd864892b7b03 --- /dev/null +++ b/syntheticSuccess/c6/tabsyn/tabsyn-c6-20260420_233446/tabsyn-c6-7636-20260421_005324.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9866af88a775107a08d6af3431d1dadd3371a6f10e26b4c9e6b874dc1046b088 +size 263458 diff --git a/syntheticSuccess/c6/tabsyn/tabsyn-c6-20260420_233446/train_20260420_233446.log b/syntheticSuccess/c6/tabsyn/tabsyn-c6-20260420_233446/train_20260420_233446.log new file mode 100644 index 0000000000000000000000000000000000000000..f1b44400c16a343d81b30e8658148b8c537c6c50 --- /dev/null +++ b/syntheticSuccess/c6/tabsyn/tabsyn-c6-20260420_233446/train_20260420_233446.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:68ea471fd5e6bebcf61779da5ee7e1915e05e2b2aa956c81aaadaa5b43a78da0 +size 2981789 diff --git a/syntheticSuccess/c6/tvae/tvae-c6-20260419_191329/_tvae_generate.py b/syntheticSuccess/c6/tvae/tvae-c6-20260419_191329/_tvae_generate.py new file mode 100644 index 0000000000000000000000000000000000000000..615c23330ca7861c56fcfc2f9b15620140ed3450 --- /dev/null +++ b/syntheticSuccess/c6/tvae/tvae-c6-20260419_191329/_tvae_generate.py @@ -0,0 +1,18 @@ +import sys +sys.path.insert(0, "/work") +from src.SpecificModels.ctgan_rdt_inverse_fix import apply_ctgan_inverse_fix +apply_ctgan_inverse_fix() +import pandas as pd +from ctgan.synthesizers.tvae import TVAE +model = TVAE.load("/work/output-SpecializedModels/c6/tvae/tvae-c6-20260419_191329/models_300epochs/tvae_300epochs.pt") +total = 7636 +chunk = min(50000, total) if total > 50000 else total +parts = [] +left = total +while left > 0: + take = min(chunk, left) + parts.append(model.sample(take)) + left -= take +samples = pd.concat(parts, ignore_index=True) if len(parts) > 1 else parts[0] +samples.to_csv("/work/output-SpecializedModels/c6/tvae/tvae-c6-20260419_191329/tvae-c6-7636-20260419_191634.csv", index=False) +print(f"[TVAE] Generated {total} rows (chunks={len(parts)}) -> /work/output-SpecializedModels/c6/tvae/tvae-c6-20260419_191329/tvae-c6-7636-20260419_191634.csv") diff --git a/syntheticSuccess/c6/tvae/tvae-c6-20260419_191329/_tvae_train.py b/syntheticSuccess/c6/tvae/tvae-c6-20260419_191329/_tvae_train.py new file mode 100644 index 0000000000000000000000000000000000000000..7e96ae404dc79019e34dc5aba4de7bb8096865c3 --- /dev/null +++ b/syntheticSuccess/c6/tvae/tvae-c6-20260419_191329/_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/c6/tvae/tvae-c6-20260419_191329/staged/public/train.csv" +meta_path = "/work/output-SpecializedModels/c6/tvae/tvae-c6-20260419_191329/tvae_metadata.json" +save_path = "/work/output-SpecializedModels/c6/tvae/tvae-c6-20260419_191329/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/syntheticSuccess/c6/tvae/tvae-c6-20260419_191329/gen_20260419_191634.log b/syntheticSuccess/c6/tvae/tvae-c6-20260419_191329/gen_20260419_191634.log new file mode 100644 index 0000000000000000000000000000000000000000..353a163487a6961cda42f3b1bcc8cfadaaad8146 --- /dev/null +++ b/syntheticSuccess/c6/tvae/tvae-c6-20260419_191329/gen_20260419_191634.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:04fb633e3ebe5b861c96bed70ad7f200e3651c2054077bb002ccd5cbb0ce94da +size 137 diff --git a/syntheticSuccess/c6/tvae/tvae-c6-20260419_191329/input_snapshot.json b/syntheticSuccess/c6/tvae/tvae-c6-20260419_191329/input_snapshot.json new file mode 100644 index 0000000000000000000000000000000000000000..f727c4c80d486ebc56fbd3a8a3d6c4815c95fc68 --- /dev/null +++ b/syntheticSuccess/c6/tvae/tvae-c6-20260419_191329/input_snapshot.json @@ -0,0 +1,36 @@ +{ + "dataset_id": "c6", + "model": "tvae", + "inputs": { + "train_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c6/c6-train.csv", + "exists": true, + "size": 849500, + "sha256": "7d8f85a52de0e63e292778c26cb06223383b366c589d4226c3de68b111ba5272" + }, + "val_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c6/c6-val.csv", + "exists": true, + "size": 108137, + "sha256": "9ede9f1e2036e743d822e8ed8d7b5e1050159e8fc7b402b758a294f7a14528fe" + }, + "test_csv": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/c6/c6-test.csv", + "exists": true, + "size": 107696, + "sha256": "d28b60b361526450f0c203ddf50498854cb66ad5c1978516a99c265f529f8e4f" + }, + "profile_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c6/c6-dataset_profile.json", + "exists": true, + "size": 4145, + "sha256": "70c4d3f4f544b9bff7543f502136d9b1403d8589ad5ef0a9695842d8ef9d5185" + }, + "contract_json": { + "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/c6/c6-dataset_contract_v1.json", + "exists": true, + "size": 4740, + "sha256": "602750e8159221cf97836d44d530098411b5f2cd6fc47c06776171da79d06593" + } + } +} \ No newline at end of file diff --git a/syntheticSuccess/c6/tvae/tvae-c6-20260419_191329/models_300epochs/train_20260419_191329.log b/syntheticSuccess/c6/tvae/tvae-c6-20260419_191329/models_300epochs/train_20260419_191329.log new file mode 100644 index 0000000000000000000000000000000000000000..e7fd6c87842b77569874fd6ac5407d87ebf87498 --- /dev/null +++ b/syntheticSuccess/c6/tvae/tvae-c6-20260419_191329/models_300epochs/train_20260419_191329.log @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c0b5e86cdd4429320921b2961a39ce27514d7a7ca98d3c0d231ebe805e3e39e2 +size 169 diff --git a/syntheticSuccess/c6/tvae/tvae-c6-20260419_191329/models_300epochs/tvae_300epochs.pt b/syntheticSuccess/c6/tvae/tvae-c6-20260419_191329/models_300epochs/tvae_300epochs.pt new file mode 100644 index 0000000000000000000000000000000000000000..1752b6829c820f77c3d0ea9c8957057a2f852b32 --- /dev/null +++ b/syntheticSuccess/c6/tvae/tvae-c6-20260419_191329/models_300epochs/tvae_300epochs.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d6c65bf2130babaa595cac77f196169cec05a4515e4c26956f9ca34236180e11 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