jialinzhang commited on
Commit ·
8f4b7ca
1
Parent(s): 0cc8c0e
Add syntheticFail m6
Browse files- syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/_fd_X_host.npy +3 -0
- syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/_fd_meta_host.json +1 -0
- syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/_fd_train.py +28 -0
- syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/input_snapshot.json +36 -0
- syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/public_gate/normalized_schema_snapshot.json +377 -0
- syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/public_gate/public_gate_report.json +37 -0
- syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/public_gate/staged_input_manifest.json +382 -0
- syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/runtime_result.json +12 -0
- syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/staged/forestdiffusion/adapter_report.json +7 -0
- syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/staged/forestdiffusion/adapter_transforms_applied.json +1 -0
- syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/staged/forestdiffusion/model_input_manifest.json +384 -0
- syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/staged/public/staged_features.json +92 -0
- syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/staged/public/test.csv +3 -0
- syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/staged/public/train.csv +3 -0
- syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/staged/public/val.csv +3 -0
- 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
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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
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syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/_fd_meta_host.json
ADDED
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{"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]}
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syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/_fd_train.py
ADDED
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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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import numpy as np, joblib, json, os
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from ForestDiffusion import ForestDiffusionModel
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X = np.load("/tmp/fd_X.npy")
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with open("/tmp/fd_meta.json") as f:
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meta = json.load(f)
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cat_indexes = meta["cat_indexes"]
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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 "
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f"xgb_verbosity=1",
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flush=True,
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)
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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")
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print("ForestDiffusion train OK")
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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')
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syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/input_snapshot.json
ADDED
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{
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"dataset_id": "m6",
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"model": "forestdiffusion",
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"inputs": {
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"train_csv": {
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"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",
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"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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}
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syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/public_gate/normalized_schema_snapshot.json
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{
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"dataset_id": "m6",
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"target_column": "VisitorType",
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| 4 |
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"task_type": "classification",
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| 5 |
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"columns": [
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{
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"name": "Administrative",
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| 8 |
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"role": "feature",
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| 9 |
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"semantic_type": "numeric",
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| 10 |
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"nullable": false,
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| 11 |
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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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| 15 |
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"missing_rate": 0.0,
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| 16 |
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"unique_count": 26,
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| 17 |
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"unique_ratio": 0.002636,
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| 18 |
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"example_values": [
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"0",
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| 20 |
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"3",
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"2",
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| 22 |
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"6",
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"1"
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| 24 |
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]
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| 25 |
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}
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| 26 |
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},
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| 27 |
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{
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| 28 |
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"name": "Administrative_Duration",
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| 29 |
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"role": "feature",
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| 30 |
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"semantic_type": "numeric",
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| 31 |
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"nullable": false,
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| 32 |
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"missing_tokens": [],
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| 33 |
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"parse_format": null,
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| 34 |
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"impute_strategy": "median",
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| 35 |
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"profile_stats": {
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| 36 |
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"missing_rate": 0.0,
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| 37 |
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"unique_count": 2789,
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| 38 |
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"unique_ratio": 0.282745,
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| 39 |
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"example_values": [
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| 40 |
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"0",
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| 41 |
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"45.8",
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| 42 |
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"77.7",
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| 43 |
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"52",
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| 44 |
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"46.33333333"
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| 45 |
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]
|
| 46 |
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}
|
| 47 |
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},
|
| 48 |
+
{
|
| 49 |
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"name": "Informational",
|
| 50 |
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"role": "feature",
|
| 51 |
+
"semantic_type": "numeric",
|
| 52 |
+
"nullable": false,
|
| 53 |
+
"missing_tokens": [],
|
| 54 |
+
"parse_format": null,
|
| 55 |
+
"impute_strategy": "median",
|
| 56 |
+
"profile_stats": {
|
| 57 |
+
"missing_rate": 0.0,
|
| 58 |
+
"unique_count": 17,
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| 59 |
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"unique_ratio": 0.001723,
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| 60 |
+
"example_values": [
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| 61 |
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"0",
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| 62 |
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"1",
|
| 63 |
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syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/public_gate/public_gate_report.json
ADDED
|
@@ -0,0 +1,37 @@
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|
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|
|
|
|
|
|
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|
|
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|
|
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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| 10 |
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|
| 11 |
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|
| 12 |
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| 13 |
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| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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"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 |
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"test": "/data/jialinzhang/SynthesizePipeline-server/DatasetNew/m6/m6-test.csv"
|
| 36 |
+
}
|
| 37 |
+
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|
syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/public_gate/staged_input_manifest.json
ADDED
|
@@ -0,0 +1,382 @@
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|
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| 302 |
+
]
|
| 303 |
+
}
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"name": "TrafficType",
|
| 307 |
+
"role": "feature",
|
| 308 |
+
"semantic_type": "numeric",
|
| 309 |
+
"nullable": false,
|
| 310 |
+
"missing_tokens": [],
|
| 311 |
+
"parse_format": null,
|
| 312 |
+
"impute_strategy": "median",
|
| 313 |
+
"profile_stats": {
|
| 314 |
+
"missing_rate": 0.0,
|
| 315 |
+
"unique_count": 20,
|
| 316 |
+
"unique_ratio": 0.002028,
|
| 317 |
+
"example_values": [
|
| 318 |
+
"2",
|
| 319 |
+
"8",
|
| 320 |
+
"3",
|
| 321 |
+
"11",
|
| 322 |
+
"1"
|
| 323 |
+
]
|
| 324 |
+
}
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"name": "VisitorType",
|
| 328 |
+
"role": "target",
|
| 329 |
+
"semantic_type": "categorical",
|
| 330 |
+
"nullable": false,
|
| 331 |
+
"missing_tokens": [],
|
| 332 |
+
"parse_format": null,
|
| 333 |
+
"impute_strategy": "mode",
|
| 334 |
+
"profile_stats": {
|
| 335 |
+
"missing_rate": 0.0,
|
| 336 |
+
"unique_count": 3,
|
| 337 |
+
"unique_ratio": 0.000304,
|
| 338 |
+
"example_values": [
|
| 339 |
+
"Returning_Visitor",
|
| 340 |
+
"New_Visitor",
|
| 341 |
+
"Other"
|
| 342 |
+
]
|
| 343 |
+
}
|
| 344 |
+
},
|
| 345 |
+
{
|
| 346 |
+
"name": "Weekend",
|
| 347 |
+
"role": "feature",
|
| 348 |
+
"semantic_type": "boolean",
|
| 349 |
+
"nullable": false,
|
| 350 |
+
"missing_tokens": [],
|
| 351 |
+
"parse_format": null,
|
| 352 |
+
"impute_strategy": "mode",
|
| 353 |
+
"profile_stats": {
|
| 354 |
+
"missing_rate": 0.0,
|
| 355 |
+
"unique_count": 2,
|
| 356 |
+
"unique_ratio": 0.000203,
|
| 357 |
+
"example_values": [
|
| 358 |
+
"FALSE",
|
| 359 |
+
"TRUE"
|
| 360 |
+
]
|
| 361 |
+
}
|
| 362 |
+
},
|
| 363 |
+
{
|
| 364 |
+
"name": "Revenue",
|
| 365 |
+
"role": "feature",
|
| 366 |
+
"semantic_type": "boolean",
|
| 367 |
+
"nullable": false,
|
| 368 |
+
"missing_tokens": [],
|
| 369 |
+
"parse_format": null,
|
| 370 |
+
"impute_strategy": "mode",
|
| 371 |
+
"profile_stats": {
|
| 372 |
+
"missing_rate": 0.0,
|
| 373 |
+
"unique_count": 2,
|
| 374 |
+
"unique_ratio": 0.000203,
|
| 375 |
+
"example_values": [
|
| 376 |
+
"FALSE",
|
| 377 |
+
"TRUE"
|
| 378 |
+
]
|
| 379 |
+
}
|
| 380 |
+
}
|
| 381 |
+
]
|
| 382 |
+
}
|
syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/runtime_result.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_id": "m6",
|
| 3 |
+
"model": "forestdiffusion",
|
| 4 |
+
"run_id": "forest-m6-20260429_081631",
|
| 5 |
+
"public_gate_status": "pass",
|
| 6 |
+
"adapter_ready_status": "pass",
|
| 7 |
+
"train_status": "fail",
|
| 8 |
+
"generate_status": "skipped",
|
| 9 |
+
"reason_code": "adapter_runtime_error",
|
| 10 |
+
"reason_detail": "Command '['docker', 'run', '--rm', '--init', '--cidfile', '/tmp/bench_docker_forestdiffusion_t0acbstw/container.cid', '-e', 'PYTHONUNBUFFERED=1', '-v', '/data/jialinzhang/SynthesizePipeline-server:/work', '-w', '/work', '-v', '/data/jialinzhang/synthetic_benchmark/third_party/ForestDiffusion/Python-Package/base-ForestDiffusion:/workspace/base-ForestDiffusion', 'benchmark:forestdiffusion-zjl', 'python', '/work/output-Benchmark-trainonly-v1/m6/forestdiffusion/forest-m6-20260429_081631/_fd_train.py']' returned non-zero exit status 137.",
|
| 11 |
+
"artifacts": {}
|
| 12 |
+
}
|
syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/staged/forestdiffusion/adapter_report.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"adapter_ready_status": "pass",
|
| 3 |
+
"adapter_fail_reason_code": null,
|
| 4 |
+
"adapter_fail_detail": null,
|
| 5 |
+
"adapter_transforms_applied": [],
|
| 6 |
+
"model_input_manifest": "/data/jialinzhang/SynthesizePipeline-server/output-Benchmark-trainonly-v1/m6/forestdiffusion/forest-m6-20260429_081631/staged/forestdiffusion/model_input_manifest.json"
|
| 7 |
+
}
|
syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/staged/forestdiffusion/adapter_transforms_applied.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
[]
|
syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/staged/forestdiffusion/model_input_manifest.json
ADDED
|
@@ -0,0 +1,384 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
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|
|
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|
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|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset_id": "m6",
|
| 3 |
+
"model": "forestdiffusion",
|
| 4 |
+
"target_column": "VisitorType",
|
| 5 |
+
"task_type": "classification",
|
| 6 |
+
"column_schema": [
|
| 7 |
+
{
|
| 8 |
+
"name": "Administrative",
|
| 9 |
+
"role": "feature",
|
| 10 |
+
"semantic_type": "numeric",
|
| 11 |
+
"nullable": false,
|
| 12 |
+
"missing_tokens": [],
|
| 13 |
+
"parse_format": null,
|
| 14 |
+
"impute_strategy": "median",
|
| 15 |
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"profile_stats": {
|
| 16 |
+
"missing_rate": 0.0,
|
| 17 |
+
"unique_count": 26,
|
| 18 |
+
"unique_ratio": 0.002636,
|
| 19 |
+
"example_values": [
|
| 20 |
+
"0",
|
| 21 |
+
"3",
|
| 22 |
+
"2",
|
| 23 |
+
"6",
|
| 24 |
+
"1"
|
| 25 |
+
]
|
| 26 |
+
}
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"name": "Administrative_Duration",
|
| 30 |
+
"role": "feature",
|
| 31 |
+
"semantic_type": "numeric",
|
| 32 |
+
"nullable": false,
|
| 33 |
+
"missing_tokens": [],
|
| 34 |
+
"parse_format": null,
|
| 35 |
+
"impute_strategy": "median",
|
| 36 |
+
"profile_stats": {
|
| 37 |
+
"missing_rate": 0.0,
|
| 38 |
+
"unique_count": 2789,
|
| 39 |
+
"unique_ratio": 0.282745,
|
| 40 |
+
"example_values": [
|
| 41 |
+
"0",
|
| 42 |
+
"45.8",
|
| 43 |
+
"77.7",
|
| 44 |
+
"52",
|
| 45 |
+
"46.33333333"
|
| 46 |
+
]
|
| 47 |
+
}
|
| 48 |
+
},
|
| 49 |
+
{
|
| 50 |
+
"name": "Informational",
|
| 51 |
+
"role": "feature",
|
| 52 |
+
"semantic_type": "numeric",
|
| 53 |
+
"nullable": false,
|
| 54 |
+
"missing_tokens": [],
|
| 55 |
+
"parse_format": null,
|
| 56 |
+
"impute_strategy": "median",
|
| 57 |
+
"profile_stats": {
|
| 58 |
+
"missing_rate": 0.0,
|
| 59 |
+
"unique_count": 17,
|
| 60 |
+
"unique_ratio": 0.001723,
|
| 61 |
+
"example_values": [
|
| 62 |
+
"0",
|
| 63 |
+
"1",
|
| 64 |
+
"3",
|
| 65 |
+
"5",
|
| 66 |
+
"4"
|
| 67 |
+
]
|
| 68 |
+
}
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"name": "Informational_Duration",
|
| 72 |
+
"role": "feature",
|
| 73 |
+
"semantic_type": "numeric",
|
| 74 |
+
"nullable": false,
|
| 75 |
+
"missing_tokens": [],
|
| 76 |
+
"parse_format": null,
|
| 77 |
+
"impute_strategy": "median",
|
| 78 |
+
"profile_stats": {
|
| 79 |
+
"missing_rate": 0.0,
|
| 80 |
+
"unique_count": 1074,
|
| 81 |
+
"unique_ratio": 0.108881,
|
| 82 |
+
"example_values": [
|
| 83 |
+
"0",
|
| 84 |
+
"2",
|
| 85 |
+
"24",
|
| 86 |
+
"86.75",
|
| 87 |
+
"62.5"
|
| 88 |
+
]
|
| 89 |
+
}
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"name": "ProductRelated",
|
| 93 |
+
"role": "feature",
|
| 94 |
+
"semantic_type": "numeric",
|
| 95 |
+
"nullable": false,
|
| 96 |
+
"missing_tokens": [],
|
| 97 |
+
"parse_format": null,
|
| 98 |
+
"impute_strategy": "median",
|
| 99 |
+
"profile_stats": {
|
| 100 |
+
"missing_rate": 0.0,
|
| 101 |
+
"unique_count": 286,
|
| 102 |
+
"unique_ratio": 0.028994,
|
| 103 |
+
"example_values": [
|
| 104 |
+
"13",
|
| 105 |
+
"8",
|
| 106 |
+
"63",
|
| 107 |
+
"15",
|
| 108 |
+
"3"
|
| 109 |
+
]
|
| 110 |
+
}
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"name": "ProductRelated_Duration",
|
| 114 |
+
"role": "feature",
|
| 115 |
+
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syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/staged/public/staged_features.json
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|
syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/staged/public/test.csv
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:d16d0389cb0fe4b23bab344dc10070de6678357a9452f9f620d0eeba66a6b12d
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size 116376
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syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/staged/public/train.csv
ADDED
|
@@ -0,0 +1,3 @@
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|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e1f0338c367408dc21d5a4ec9cdc5d3fe8188916db6085f3fd326304a55551e1
|
| 3 |
+
size 924849
|
syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/staged/public/val.csv
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:cb9169f3c7213420491d9b709ee1cc650aeaed732fa77dcbd6ffe3583366b2d4
|
| 3 |
+
size 116198
|
syntheticFail/m6/forestdiffusion/forest-m6-20260429_081631/train_20260429_081631.log
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:610712e64e696da564d98bc4c5302ed32eb81e03d9984498c99a35cb93723ba2
|
| 3 |
+
size 400
|