jialinzhang commited on
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Add syntheticFail m6

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Files changed (16) hide show
  1. syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/_fd_X_host.npy +3 -0
  2. syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/_fd_meta_host.json +1 -0
  3. syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/_fd_train.py +28 -0
  4. syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/input_snapshot.json +36 -0
  5. syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/public_gate/normalized_schema_snapshot.json +377 -0
  6. syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/public_gate/public_gate_report.json +37 -0
  7. syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/public_gate/staged_input_manifest.json +382 -0
  8. syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/runtime_result.json +12 -0
  9. syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/staged/forestdiffusion/adapter_report.json +7 -0
  10. syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/staged/forestdiffusion/adapter_transforms_applied.json +1 -0
  11. syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/staged/forestdiffusion/model_input_manifest.json +384 -0
  12. syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/staged/public/staged_features.json +92 -0
  13. syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/staged/public/test.csv +3 -0
  14. syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/staged/public/train.csv +3 -0
  15. syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/staged/public/val.csv +3 -0
  16. syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/train_20260429_081631.log +3 -0
syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/_fd_X_host.npy ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:ce27b51e592355e14fee8f6d47e08e3f99736fcde567190e0e180a1656361059
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+ size 710336
syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/_fd_meta_host.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"column_names": ["Administrative", "Administrative_Duration", "Informational", "Informational_Duration", "ProductRelated", "ProductRelated_Duration", "BounceRates", "ExitRates", "PageValues", "SpecialDay", "Month", "OperatingSystems", "Browser", "Region", "TrafficType", "Weekend", "Revenue", "VisitorType"], "cat_indexes": [10, 15, 16]}
syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/_fd_train.py ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+
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+ import shutil, json
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+ shutil.copy(r'/work/output-Benchmark-trainonly-v1/m6/forestdiffusion/forest-m6-20260429_081631/_fd_X_host.npy', '/tmp/fd_X.npy')
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+ with open(r'/work/output-Benchmark-trainonly-v1/m6/forestdiffusion/forest-m6-20260429_081631/_fd_meta_host.json') as f:
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+ open('/tmp/fd_meta.json','w').write(f.read())
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+
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+ import numpy as np, joblib, json, os
8
+ 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(
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+ "[ForestDiffusion] train config: "
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+ f"rows={X.shape[0]} cols={X.shape[1]} n_t=20 "
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+ f"n_estimators=100 duplicate_K=20 n_jobs=2 "
17
+ f"xgb_verbosity=1",
18
+ flush=True,
19
+ )
20
+ m = ForestDiffusionModel(
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+ 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,
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+ )
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+ joblib.dump((m, meta), "/tmp/fd_model.joblib")
26
+ print("ForestDiffusion train OK")
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+
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+ shutil.copy('/tmp/fd_model.joblib', r'/work/output-Benchmark-trainonly-v1/m6/forestdiffusion/forest-m6-20260429_081631/forestdiffusion_model.joblib')
syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/input_snapshot.json ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
2
+ "dataset_id": "m6",
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+ "model": "forestdiffusion",
4
+ "inputs": {
5
+ "train_csv": {
6
+ "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m6/m6-train.csv",
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+ "exists": true,
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+ "size": 856785,
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+ "sha256": "a5d1c487a8f2611385915fcc5a52bad546680ddbc8d23fc695f442cdd6dafa0c"
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+ },
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+ "val_csv": {
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+ "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m6/m6-val.csv",
13
+ "exists": true,
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+ "size": 107758,
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+ "sha256": "598196cecc227cfba95c9796b80bc1baf684a0117e6673b8662b89482cdcb78f"
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+ },
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+ "test_csv": {
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+ "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m6/m6-test.csv",
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+ "exists": true,
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+ "size": 107996,
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+ "sha256": "ec939ad96a3b14dd960886359fb6c5d45591adc8a734661ade3dee1417a015de"
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+ },
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+ "profile_json": {
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+ "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m6/m6-dataset_profile.json",
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+ "exists": true,
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+ "size": 7622,
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+ "sha256": "859f1fe93806c8ecdea9c9db9db34fb6cf94bc112b5c0a66b2436e8ef71c2e98"
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+ },
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+ "contract_json": {
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+ "path": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/artifacts/data_core/tabular/m6/m6-dataset_contract_v1.json",
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+ "exists": true,
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+ "size": 8990,
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+ "sha256": "01142eeb121af615a644c3e312f5f3e79d805396339f40d5a300ba3560cf8e90"
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+ }
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+ }
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+ }
syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/public_gate/normalized_schema_snapshot.json ADDED
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1
+ {
2
+ "dataset_id": "m6",
3
+ "target_column": "VisitorType",
4
+ "task_type": "classification",
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+ "columns": [
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+ {
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+ "name": "Administrative",
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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": 26,
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+ "unique_ratio": 0.002636,
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+ "example_values": [
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+ "0",
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+ "3",
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+ "2",
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+ "6",
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+ ]
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+ }
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+ },
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+ {
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+ "name": "Administrative_Duration",
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+ "role": "feature",
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+ "semantic_type": "numeric",
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+ "nullable": false,
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+ }
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+ },
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+ {
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+ "name": "Informational",
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+ "role": "feature",
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+ "semantic_type": "numeric",
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+ "nullable": false,
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+ "impute_strategy": "median",
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+ "unique_ratio": 0.001723,
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+ "0",
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+ "name": "Informational_Duration",
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+ "name": "ProductRelated",
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+ "15",
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+ "name": "ProductRelated_Duration",
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+ "nullable": false,
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+ "Nov",
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+ "name": "OperatingSystems",
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+ "6",
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+ "1"
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+ {
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+ "name": "Browser",
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+ "nullable": false,
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+ "name": "TrafficType",
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+ {
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+ "name": "VisitorType",
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+ ]
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+ }
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+ }
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+ }
syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/public_gate/public_gate_report.json ADDED
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1
+ {
2
+ "dataset_id": "m6",
3
+ "status": "pass",
4
+ "checks": [
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+ {
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+ "check_id": "PG001_csv_parse_ok",
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+ "status": "pass"
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+ },
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+ {
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+ "check_id": "PG002_split_header_consistent",
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+ "status": "pass"
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+ },
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+ {
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+ "check_id": "PG003_profile_header_match",
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+ "status": "pass"
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+ },
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+ {
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+ "check_id": "PG004_missing_token_normalized",
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+ "status": "pass"
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+ },
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+ {
22
+ "check_id": "PG005_semantic_type_validated",
23
+ "status": "pass"
24
+ },
25
+ {
26
+ "check_id": "PG006_target_defined_and_valid",
27
+ "status": "pass"
28
+ }
29
+ ],
30
+ "target_column": "VisitorType",
31
+ "task_type": "classification",
32
+ "input_splits": {
33
+ "train": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m6/m6-train.csv",
34
+ "val": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m6/m6-val.csv",
35
+ "test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m6/m6-test.csv"
36
+ }
37
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