jialinzhang commited on
Commit
4e72566
·
1 Parent(s): df641fb

Add syntheticFail m1

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Files changed (16) hide show
  1. syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/_fd_X_host.npy +3 -0
  2. syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/_fd_meta_host.json +1 -0
  3. syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/_fd_train.py +28 -0
  4. syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/input_snapshot.json +36 -0
  5. syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/public_gate/normalized_schema_snapshot.json +625 -0
  6. syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/public_gate/public_gate_report.json +37 -0
  7. syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/public_gate/staged_input_manifest.json +630 -0
  8. syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/runtime_result.json +24 -0
  9. syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/staged/forestdiffusion/adapter_report.json +7 -0
  10. syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/staged/forestdiffusion/adapter_transforms_applied.json +1 -0
  11. syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/staged/forestdiffusion/model_input_manifest.json +632 -0
  12. syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/staged/public/staged_features.json +152 -0
  13. syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/staged/public/test.csv +3 -0
  14. syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/staged/public/train.csv +3 -0
  15. syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/staged/public/val.csv +3 -0
  16. syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/train_20260502_162341.log +3 -0
syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/_fd_X_host.npy ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:00ab7974a4cde5bd361d1192781607860ced378daa096e94876658e3dcb6da3c
3
+ size 144128
syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/_fd_meta_host.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"column_names": ["Employee_ID", "Age", "Years_Experience", "WFH_Days_Per_Week", "Gender", "Education_Level", "Marital_Status", "Has_Children", "Location_Type", "Department", "Job_Level", "Company_Size", "Industry", "Home_Office_Quality", "Internet_Speed_Category", "Work_Hours_Per_Week", "Manager_Support_Level", "Team_Collaboration_Frequency", "Productivity_Score", "Task_Completion_Rate", "Quality_Score", "Innovation_Score", "Efficiency_Rating", "Meetings_Per_Week", "Commute_Time_Minutes", "Job_Satisfaction", "Stress_Level", "Work_Life_Balance", "Survey_Date", "Response_Quality"], "cat_indexes": [0, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 28]}
syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/_fd_train.py ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+
2
+ import shutil, json
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+ shutil.copy(r'/work/output-Benchmark-trainonly-v1/m1/forestdiffusion/forest-m1-20260502_162341/_fd_X_host.npy', '/tmp/fd_X.npy')
4
+ with open(r'/work/output-Benchmark-trainonly-v1/m1/forestdiffusion/forest-m1-20260502_162341/_fd_meta_host.json') as f:
5
+ open('/tmp/fd_meta.json','w').write(f.read())
6
+
7
+ import numpy as np, joblib, json, os
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+ from ForestDiffusion import ForestDiffusionModel
9
+ X = np.load("/tmp/fd_X.npy")
10
+ with open("/tmp/fd_meta.json") as f:
11
+ meta = json.load(f)
12
+ cat_indexes = meta["cat_indexes"]
13
+ print(
14
+ "[ForestDiffusion] train config: "
15
+ f"rows={X.shape[0]} cols={X.shape[1]} n_t=20 "
16
+ f"n_estimators=100 duplicate_K=20 n_jobs=2 "
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+ f"xgb_verbosity=1",
18
+ flush=True,
19
+ )
20
+ m = ForestDiffusionModel(
21
+ X, n_t=20, n_estimators=100, duplicate_K=20, n_jobs=2,
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+ model="xgboost", max_depth=6, tree_method="hist", cat_indexes=cat_indexes,
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+ verbosity=1,
24
+ )
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+ joblib.dump((m, meta), "/tmp/fd_model.joblib")
26
+ print("ForestDiffusion train OK")
27
+
28
+ shutil.copy('/tmp/fd_model.joblib', r'/work/output-Benchmark-trainonly-v1/m1/forestdiffusion/forest-m1-20260502_162341/forestdiffusion_model.joblib')
syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/input_snapshot.json ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "dataset_id": "m1",
3
+ "model": "forestdiffusion",
4
+ "inputs": {
5
+ "train_csv": {
6
+ "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m1/m1-train.csv",
7
+ "exists": true,
8
+ "size": 247736,
9
+ "sha256": "28658fdcbade81b9228e4ee5f9e62cadcf890698f730afc2be402c32a71e151b"
10
+ },
11
+ "val_csv": {
12
+ "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m1/m1-val.csv",
13
+ "exists": true,
14
+ "size": 31474,
15
+ "sha256": "456422d2c2f69adfe81c81e2e6be1bf6fee895a582b8b63462ff234f90872927"
16
+ },
17
+ "test_csv": {
18
+ "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m1/m1-test.csv",
19
+ "exists": true,
20
+ "size": 31470,
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+ "sha256": "e0c692b62a23156b1c7d1895a979efb671de3e8a79399169602adeafb5733764"
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+ },
23
+ "profile_json": {
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+ "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m1/m1-dataset_profile.json",
25
+ "exists": true,
26
+ "size": 12335,
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+ "sha256": "bec761b39442c197addda4f50857b05419b1209fd5da1163d5a5ec10f0a79c62"
28
+ },
29
+ "contract_json": {
30
+ "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m1/m1-dataset_contract_v1.json",
31
+ "exists": true,
32
+ "size": 14869,
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+ "sha256": "5dd17025fe3446132776c80de35ceea1682db199b4e0c374bbb9b622c76a6180"
34
+ }
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+ }
36
+ }
syntheticFail/m1/forestdiffusion/forest-m1-20260502_162341/public_gate/normalized_schema_snapshot.json ADDED
@@ -0,0 +1,625 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "dataset_id": "m1",
3
+ "target_column": "Response_Quality",
4
+ "task_type": "classification",
5
+ "columns": [
6
+ {
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+ "name": "Employee_ID",
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+ "role": "id",
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+ "semantic_type": "id",
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+ "nullable": false,
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+ "missing_tokens": [],
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+ "parse_format": null,
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+ "impute_strategy": "keep_raw",
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+ "profile_stats": {
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+ "missing_rate": 0.0,
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+ "unique_count": 1200,
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+ "unique_ratio": 1.0,
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+ "example_values": [
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+ "EMP1304",
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+ "EMP0398",
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+ "EMP0387",
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+ "EMP0550",
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+ "EMP0598"
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+ ]
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+ }
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+ },
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+ {
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+ "name": "Age",
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+ "role": "feature",
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+ "semantic_type": "numeric",
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+ "nullable": false,
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+ "missing_tokens": [],
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+ "parse_format": null,
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+ "impute_strategy": "median",
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+ "profile_stats": {
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+ "missing_rate": 0.0,
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+ "unique_count": 39,
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+ "unique_ratio": 0.0325,
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+ "example_values": [
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+ "28",
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+ "47",
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+ "38",
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+ "29",
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+ "26"
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+ ]
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+ }
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+ },
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+ {
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+ "name": "Years_Experience",
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+ "role": "feature",
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+ "semantic_type": "numeric",
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+ "nullable": false,
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+ "missing_tokens": [],
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+ "parse_format": null,
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+ "impute_strategy": "median",
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+ "profile_stats": {
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+ "missing_rate": 0.0,
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+ "unique_count": 29,
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+ "unique_ratio": 0.024167,
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+ "example_values": [
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+ "3",
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+ "7",
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+ "11",
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+ "4",
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+ "2"
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+ ]
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+ }
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+ },
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+ {
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+ "name": "WFH_Days_Per_Week",
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+ "role": "feature",
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+ "semantic_type": "numeric",
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+ "nullable": false,
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+ "missing_tokens": [],
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+ "parse_format": null,
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+ "impute_strategy": "median",
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+ "profile_stats": {
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+ "missing_rate": 0.0,
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+ "unique_count": 6,
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+ "unique_ratio": 0.005,
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+ "example_values": [
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+ "5",
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+ "4",
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+ "2",
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+ "3",
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+ "1"
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+ ]
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+ }
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+ },
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+ {
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+ "name": "Gender",
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+ "role": "feature",
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+ "semantic_type": "categorical",
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+ "nullable": false,
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+ "missing_tokens": [],
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+ "parse_format": null,
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+ "impute_strategy": "mode",
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+ "unique_ratio": 0.0025,
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+ "example_values": [
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+ "Female",
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+ "Male",
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+ "Non-binary"
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+ ]
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+ }
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+ },
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+ {
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+ "name": "Education_Level",
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+ "role": "feature",
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+ "semantic_type": "text",
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+ "nullable": false,
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+ "missing_tokens": [],
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+ "parse_format": null,
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+ "impute_strategy": "keep_raw",
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+ "profile_stats": {
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+ "missing_rate": 0.0,
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+ "unique_count": 6,
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+ "unique_ratio": 0.005,
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+ "example_values": [
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+ "Bachelor Degree",
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+ "Master Degree",
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+ "PhD",
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+ "Associate Degree",
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+ "Professional Degree"
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+ ]
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+ }
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+ },
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+ {
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+ "name": "Marital_Status",
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+ "role": "feature",
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+ "semantic_type": "categorical",
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+ "nullable": false,
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+ "missing_tokens": [],
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+ "parse_format": null,
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+ "impute_strategy": "mode",
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+ "profile_stats": {
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+ "missing_rate": 0.0,
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+ "unique_count": 4,
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+ "unique_ratio": 0.003333,
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+ "example_values": [
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+ "Married",
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+ "Single",
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+ "Divorced",
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+ "In Relationship"
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+ ]
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+ }
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+ },
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+ {
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+ "name": "Has_Children",
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+ "role": "feature",
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+ "semantic_type": "boolean",
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+ "nullable": false,
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+ "missing_tokens": [],
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+ "parse_format": null,
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+ "impute_strategy": "mode",
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+ "profile_stats": {
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+ "missing_rate": 0.0,
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+ "unique_count": 2,
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+ "unique_ratio": 0.001667,
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+ "example_values": [
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+ "Yes",
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+ "No"
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+ ]
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+ }
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+ },
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+ {
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+ "name": "Location_Type",
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+ "role": "feature",
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+ "semantic_type": "categorical",
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+ "nullable": false,
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+ "missing_tokens": [],
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+ "parse_format": null,
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+ "impute_strategy": "mode",
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+ "profile_stats": {
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+ "missing_rate": 0.0,
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+ "unique_count": 3,
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+ "unique_ratio": 0.0025,
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+ "example_values": [
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+ "Urban",
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+ "Suburban",
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+ "Rural"
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+ ]
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+ }
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+ },
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+ {
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+ "name": "Department",
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+ "role": "feature",
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+ "semantic_type": "categorical",
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+ "nullable": false,
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+ "missing_tokens": [],
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+ "parse_format": null,
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+ "impute_strategy": "mode",
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+ "profile_stats": {
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+ "missing_rate": 0.0,
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+ "unique_count": 10,
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+ "unique_ratio": 0.008333,
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+ "example_values": [
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+ "Engineering",
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+ "Sales",
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+ "Finance",
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+ "Marketing",
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+ "Operations"
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+ ]
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+ }
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+ },
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+ {
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+ "name": "Job_Level",
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+ "role": "feature",
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+ "semantic_type": "categorical",
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+ "nullable": false,
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+ "missing_tokens": [],
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+ "parse_format": null,
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+ "impute_strategy": "mode",
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+ "profile_stats": {
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+ "missing_rate": 0.0,
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+ "unique_count": 6,
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+ "unique_ratio": 0.005,
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+ "example_values": [
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+ "Senior",
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+ "Mid-Level",
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+ "Lead",
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+ "Junior",
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+ "Manager"
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+ ]
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+ }
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+ },
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+ {
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+ "name": "Company_Size",
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+ "role": "feature",
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+ "semantic_type": "text",
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+ "nullable": false,
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+ "missing_tokens": [],
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+ "parse_format": null,
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+ "impute_strategy": "keep_raw",
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+ "profile_stats": {
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+ "missing_rate": 0.0,
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+ "unique_count": 5,
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+ "unique_ratio": 0.004167,
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+ "example_values": [
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+ "Large (1001-5000)",
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+ "Enterprise (5000+)",
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+ "Startup (1-50)",
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+ "Medium (201-1000)",
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+ "Small (51-200)"
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+ ]
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+ }
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+ },
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+ {
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+ "name": "Industry",
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+ "role": "feature",
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+ "semantic_type": "categorical",
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+ "nullable": false,
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+ "missing_tokens": [],
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+ "parse_format": null,
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+ "impute_strategy": "mode",
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+ "profile_stats": {
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+ "missing_rate": 0.0,
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+ "unique_count": 10,
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+ "unique_ratio": 0.008333,
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+ "example_values": [
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+ "Healthcare",
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+ "Non-profit",
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+ "Manufacturing",
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+ "Technology",
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+ "Consulting"
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+ ]
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+ }
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+ },
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+ {
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+ "name": "Home_Office_Quality",
273
+ "role": "feature",
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+ "semantic_type": "categorical",
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+ "nullable": false,
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+ "missing_tokens": [],
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+ "parse_format": null,
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+ "impute_strategy": "mode",
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+ "profile_stats": {
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+ "missing_rate": 0.0,
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+ "unique_count": 4,
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+ "unique_ratio": 0.003333,
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+ "example_values": [
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+ "Average",
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+ "Excellent",
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+ "Good",
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+ "Poor"
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+ ]
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+ }
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+ },
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+ {
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+ "name": "Internet_Speed_Category",
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+ "role": "feature",
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+ "semantic_type": "text",
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+ "nullable": false,
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+ "missing_tokens": [],
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+ "parse_format": null,
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+ "impute_strategy": "keep_raw",
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+ "profile_stats": {
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+ "missing_rate": 0.0,
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+ "unique_count": 4,
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+ "unique_ratio": 0.003333,
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+ "example_values": [
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+ "Very Fast (100+ Mbps)",
305
+ "Fast (50-100 Mbps)",
306
+ "Moderate (25-50 Mbps)",
307
+ "Slow (<25 Mbps)"
308
+ ]
309
+ }
310
+ },
311
+ {
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+ "name": "Work_Hours_Per_Week",
313
+ "role": "feature",
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+ "semantic_type": "numeric",
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+ "nullable": false,
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+ "missing_tokens": [],
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+ "parse_format": null,
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+ "impute_strategy": "median",
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+ "profile_stats": {
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+ "unique_count": 36,
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+ "unique_ratio": 0.03,
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+ "example_values": [
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+ "51",
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+ "40",
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+ "39",
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+ "38",
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+ "49"
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+ ]
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+ }
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+ },
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+ {
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+ "name": "Manager_Support_Level",
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+ "role": "feature",
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+ "semantic_type": "categorical",
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+ "nullable": false,
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+ "missing_tokens": [],
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+ "parse_format": null,
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+ "impute_strategy": "mode",
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+ "profile_stats": {
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+ "missing_rate": 0.0,
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+ "unique_count": 5,
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+ "unique_ratio": 0.004167,
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+ "example_values": [
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+ "High",
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+ "Moderate",
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+ "Very High",
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+ "Low",
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+ "Very Low"
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+ ]
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+ }
352
+ },
353
+ {
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+ "name": "Team_Collaboration_Frequency",
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+ "role": "feature",
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+ "semantic_type": "categorical",
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+ "nullable": false,
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+ "missing_tokens": [],
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+ "parse_format": null,
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+ "impute_strategy": "mode",
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+ "profile_stats": {
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+ "missing_rate": 0.0,
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+ "unique_count": 5,
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+ "unique_ratio": 0.004167,
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+ "example_values": [
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+ "Few times per week",
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+ "Monthly",
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+ "Bi-weekly",
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+ "Daily",
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+ "Weekly"
371
+ ]
372
+ }
373
+ },
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+ {
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+ "name": "Productivity_Score",
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+ "role": "feature",
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+ "semantic_type": "numeric",
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+ "nullable": false,
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+ "missing_tokens": [],
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+ "parse_format": null,
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+ "impute_strategy": "median",
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+ "profile_stats": {
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+ "missing_rate": 0.0,
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+ "unique_count": 403,
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+ "unique_ratio": 0.335833,
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+ "example_values": [
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+ "98.0",
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+ "95.5",
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+ "94.7",
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+ "70.4",
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+ "78.6"
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+ ]
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+ }
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+ },
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+ {
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+ "name": "Task_Completion_Rate",
397
+ "role": "feature",
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+ "semantic_type": "numeric",
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+ "nullable": false,
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+ "missing_tokens": [],
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+ "parse_format": null,
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+ "impute_strategy": "median",
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+ "profile_stats": {
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+ "missing_rate": 0.0,
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+ "unique_count": 439,
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+ "unique_ratio": 0.365833,
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+ "example_values": [
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+ "92.7",
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+ "100.0",
410
+ "99.4",
411
+ "88.3",
412
+ "88.4"
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+ ]
414
+ }
415
+ },
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+ {
417
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