Abeshith commited on
Commit
11fba5d
·
verified ·
1 Parent(s): 8e5f262

Upload folder using huggingface_hub

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. .gitattributes +52 -0
  2. README.md +0 -22
  3. artifacts/data_validation/status.txt +1 -0
  4. artifacts/feature_engineering/preprocessor.pkl +0 -0
  5. artifacts/logs/predictions/.gitkeep +0 -0
  6. artifacts/logs/training/.gitkeep +0 -0
  7. artifacts/model_evaluation/metrics.json +7 -0
  8. artifacts/model_pusher/push_metadata.json +6 -0
  9. artifacts/model_trainer/feature_importance.json +104 -0
  10. artifacts/model_trainer/leaderboard.csv +13 -0
  11. artifacts/model_trainer/model/learner.pkl +0 -0
  12. artifacts/model_trainer/model/metadata.json +279 -0
  13. artifacts/model_trainer/model/models/CatBoost_BAG_L1/S1F1/model.pkl +3 -0
  14. artifacts/model_trainer/model/models/CatBoost_BAG_L1/S1F2/model.pkl +3 -0
  15. artifacts/model_trainer/model/models/CatBoost_BAG_L1/S1F3/model.pkl +3 -0
  16. artifacts/model_trainer/model/models/CatBoost_BAG_L1/S1F4/model.pkl +3 -0
  17. artifacts/model_trainer/model/models/CatBoost_BAG_L1/S1F5/model.pkl +3 -0
  18. artifacts/model_trainer/model/models/CatBoost_BAG_L1/model.pkl +0 -0
  19. artifacts/model_trainer/model/models/CatBoost_BAG_L1/utils/model_template.pkl +0 -0
  20. artifacts/model_trainer/model/models/CatBoost_BAG_L1/utils/oof.pkl +3 -0
  21. artifacts/model_trainer/model/models/CatBoost_BAG_L2/S1F1/model.pkl +3 -0
  22. artifacts/model_trainer/model/models/CatBoost_BAG_L2/S1F2/model.pkl +3 -0
  23. artifacts/model_trainer/model/models/CatBoost_BAG_L2/S1F3/model.pkl +3 -0
  24. artifacts/model_trainer/model/models/CatBoost_BAG_L2/S1F4/model.pkl +3 -0
  25. artifacts/model_trainer/model/models/CatBoost_BAG_L2/S1F5/model.pkl +3 -0
  26. artifacts/model_trainer/model/models/CatBoost_BAG_L2/model.pkl +0 -0
  27. artifacts/model_trainer/model/models/CatBoost_BAG_L2/utils/model_template.pkl +0 -0
  28. artifacts/model_trainer/model/models/CatBoost_BAG_L2/utils/oof.pkl +3 -0
  29. artifacts/model_trainer/model/models/ExtraTreesEntr_BAG_L1/utils/model_template.pkl +0 -0
  30. artifacts/model_trainer/model/models/ExtraTreesEntr_BAG_L2/utils/model_template.pkl +0 -0
  31. artifacts/model_trainer/model/models/ExtraTreesGini_BAG_L1/utils/model_template.pkl +0 -0
  32. artifacts/model_trainer/model/models/ExtraTreesGini_BAG_L2/utils/model_template.pkl +0 -0
  33. artifacts/model_trainer/model/models/LightGBMLarge_BAG_L1/S1F1/model.pkl +3 -0
  34. artifacts/model_trainer/model/models/LightGBMLarge_BAG_L1/S1F2/model.pkl +0 -0
  35. artifacts/model_trainer/model/models/LightGBMLarge_BAG_L1/S1F3/model.pkl +3 -0
  36. artifacts/model_trainer/model/models/LightGBMLarge_BAG_L1/S1F4/model.pkl +0 -0
  37. artifacts/model_trainer/model/models/LightGBMLarge_BAG_L1/S1F5/model.pkl +0 -0
  38. artifacts/model_trainer/model/models/LightGBMLarge_BAG_L1/model.pkl +0 -0
  39. artifacts/model_trainer/model/models/LightGBMLarge_BAG_L1/utils/model_template.pkl +0 -0
  40. artifacts/model_trainer/model/models/LightGBMLarge_BAG_L1/utils/oof.pkl +3 -0
  41. artifacts/model_trainer/model/models/LightGBMLarge_BAG_L2/S1F1/model.pkl +3 -0
  42. artifacts/model_trainer/model/models/LightGBMLarge_BAG_L2/S1F2/model.pkl +3 -0
  43. artifacts/model_trainer/model/models/LightGBMLarge_BAG_L2/S1F3/model.pkl +3 -0
  44. artifacts/model_trainer/model/models/LightGBMLarge_BAG_L2/S1F4/model.pkl +3 -0
  45. artifacts/model_trainer/model/models/LightGBMLarge_BAG_L2/S1F5/model.pkl +3 -0
  46. artifacts/model_trainer/model/models/LightGBMLarge_BAG_L2/model.pkl +0 -0
  47. artifacts/model_trainer/model/models/LightGBMLarge_BAG_L2/utils/model_template.pkl +0 -0
  48. artifacts/model_trainer/model/models/LightGBMLarge_BAG_L2/utils/oof.pkl +3 -0
  49. artifacts/model_trainer/model/models/LightGBMXT_BAG_L1/S1F1/model.pkl +3 -0
  50. artifacts/model_trainer/model/models/LightGBMXT_BAG_L1/S1F2/model.pkl +3 -0
.gitattributes CHANGED
@@ -50,3 +50,55 @@ models/production/model/models/XGBoost_BAG_L2/S1F3/xgb.ubj filter=lfs diff=lfs m
50
  models/production/model/models/XGBoost_BAG_L2/S1F4/xgb.ubj filter=lfs diff=lfs merge=lfs -text
51
  models/production/model/models/XGBoost_BAG_L2/S1F5/xgb.ubj filter=lfs diff=lfs merge=lfs -text
52
  models/production/model/models/XGBoost_BAG_L2/utils/oof.pkl filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
50
  models/production/model/models/XGBoost_BAG_L2/S1F4/xgb.ubj filter=lfs diff=lfs merge=lfs -text
51
  models/production/model/models/XGBoost_BAG_L2/S1F5/xgb.ubj filter=lfs diff=lfs merge=lfs -text
52
  models/production/model/models/XGBoost_BAG_L2/utils/oof.pkl filter=lfs diff=lfs merge=lfs -text
53
+ artifacts/model_trainer/model/models/CatBoost_BAG_L1/S1F1/model.pkl filter=lfs diff=lfs merge=lfs -text
54
+ artifacts/model_trainer/model/models/CatBoost_BAG_L1/S1F2/model.pkl filter=lfs diff=lfs merge=lfs -text
55
+ artifacts/model_trainer/model/models/CatBoost_BAG_L1/S1F3/model.pkl filter=lfs diff=lfs merge=lfs -text
56
+ artifacts/model_trainer/model/models/CatBoost_BAG_L1/S1F4/model.pkl filter=lfs diff=lfs merge=lfs -text
57
+ artifacts/model_trainer/model/models/CatBoost_BAG_L1/S1F5/model.pkl filter=lfs diff=lfs merge=lfs -text
58
+ artifacts/model_trainer/model/models/CatBoost_BAG_L1/utils/oof.pkl filter=lfs diff=lfs merge=lfs -text
59
+ artifacts/model_trainer/model/models/CatBoost_BAG_L2/S1F1/model.pkl filter=lfs diff=lfs merge=lfs -text
60
+ artifacts/model_trainer/model/models/CatBoost_BAG_L2/S1F2/model.pkl filter=lfs diff=lfs merge=lfs -text
61
+ artifacts/model_trainer/model/models/CatBoost_BAG_L2/S1F3/model.pkl filter=lfs diff=lfs merge=lfs -text
62
+ artifacts/model_trainer/model/models/CatBoost_BAG_L2/S1F4/model.pkl filter=lfs diff=lfs merge=lfs -text
63
+ artifacts/model_trainer/model/models/CatBoost_BAG_L2/S1F5/model.pkl filter=lfs diff=lfs merge=lfs -text
64
+ artifacts/model_trainer/model/models/CatBoost_BAG_L2/utils/oof.pkl filter=lfs diff=lfs merge=lfs -text
65
+ artifacts/model_trainer/model/models/LightGBMLarge_BAG_L1/S1F1/model.pkl filter=lfs diff=lfs merge=lfs -text
66
+ artifacts/model_trainer/model/models/LightGBMLarge_BAG_L1/S1F3/model.pkl filter=lfs diff=lfs merge=lfs -text
67
+ artifacts/model_trainer/model/models/LightGBMLarge_BAG_L1/utils/oof.pkl filter=lfs diff=lfs merge=lfs -text
68
+ artifacts/model_trainer/model/models/LightGBMLarge_BAG_L2/S1F1/model.pkl filter=lfs diff=lfs merge=lfs -text
69
+ artifacts/model_trainer/model/models/LightGBMLarge_BAG_L2/S1F2/model.pkl filter=lfs diff=lfs merge=lfs -text
70
+ artifacts/model_trainer/model/models/LightGBMLarge_BAG_L2/S1F3/model.pkl filter=lfs diff=lfs merge=lfs -text
71
+ artifacts/model_trainer/model/models/LightGBMLarge_BAG_L2/S1F4/model.pkl filter=lfs diff=lfs merge=lfs -text
72
+ artifacts/model_trainer/model/models/LightGBMLarge_BAG_L2/S1F5/model.pkl filter=lfs diff=lfs merge=lfs -text
73
+ artifacts/model_trainer/model/models/LightGBMLarge_BAG_L2/utils/oof.pkl filter=lfs diff=lfs merge=lfs -text
74
+ artifacts/model_trainer/model/models/LightGBMXT_BAG_L1/S1F1/model.pkl filter=lfs diff=lfs merge=lfs -text
75
+ artifacts/model_trainer/model/models/LightGBMXT_BAG_L1/S1F2/model.pkl filter=lfs diff=lfs merge=lfs -text
76
+ artifacts/model_trainer/model/models/LightGBMXT_BAG_L1/utils/oof.pkl filter=lfs diff=lfs merge=lfs -text
77
+ artifacts/model_trainer/model/models/LightGBMXT_BAG_L2/S1F1/model.pkl filter=lfs diff=lfs merge=lfs -text
78
+ artifacts/model_trainer/model/models/LightGBMXT_BAG_L2/S1F3/model.pkl filter=lfs diff=lfs merge=lfs -text
79
+ artifacts/model_trainer/model/models/LightGBMXT_BAG_L2/S1F4/model.pkl filter=lfs diff=lfs merge=lfs -text
80
+ artifacts/model_trainer/model/models/LightGBMXT_BAG_L2/utils/oof.pkl filter=lfs diff=lfs merge=lfs -text
81
+ artifacts/model_trainer/model/models/LightGBM_BAG_L1/S1F1/model.pkl filter=lfs diff=lfs merge=lfs -text
82
+ artifacts/model_trainer/model/models/LightGBM_BAG_L1/S1F2/model.pkl filter=lfs diff=lfs merge=lfs -text
83
+ artifacts/model_trainer/model/models/LightGBM_BAG_L1/S1F4/model.pkl filter=lfs diff=lfs merge=lfs -text
84
+ artifacts/model_trainer/model/models/LightGBM_BAG_L1/S1F5/model.pkl filter=lfs diff=lfs merge=lfs -text
85
+ artifacts/model_trainer/model/models/LightGBM_BAG_L1/utils/oof.pkl filter=lfs diff=lfs merge=lfs -text
86
+ artifacts/model_trainer/model/models/LightGBM_BAG_L2/S1F1/model.pkl filter=lfs diff=lfs merge=lfs -text
87
+ artifacts/model_trainer/model/models/LightGBM_BAG_L2/S1F2/model.pkl filter=lfs diff=lfs merge=lfs -text
88
+ artifacts/model_trainer/model/models/LightGBM_BAG_L2/S1F3/model.pkl filter=lfs diff=lfs merge=lfs -text
89
+ artifacts/model_trainer/model/models/LightGBM_BAG_L2/S1F4/model.pkl filter=lfs diff=lfs merge=lfs -text
90
+ artifacts/model_trainer/model/models/LightGBM_BAG_L2/S1F5/model.pkl filter=lfs diff=lfs merge=lfs -text
91
+ artifacts/model_trainer/model/models/LightGBM_BAG_L2/utils/oof.pkl filter=lfs diff=lfs merge=lfs -text
92
+ artifacts/model_trainer/model/models/WeightedEnsemble_L2/utils/oof.pkl filter=lfs diff=lfs merge=lfs -text
93
+ artifacts/model_trainer/model/models/WeightedEnsemble_L3/utils/oof.pkl filter=lfs diff=lfs merge=lfs -text
94
+ artifacts/model_trainer/model/models/XGBoost_BAG_L1/S1F2/xgb.ubj filter=lfs diff=lfs merge=lfs -text
95
+ artifacts/model_trainer/model/models/XGBoost_BAG_L1/S1F3/xgb.ubj filter=lfs diff=lfs merge=lfs -text
96
+ artifacts/model_trainer/model/models/XGBoost_BAG_L1/S1F4/xgb.ubj filter=lfs diff=lfs merge=lfs -text
97
+ artifacts/model_trainer/model/models/XGBoost_BAG_L1/S1F5/xgb.ubj filter=lfs diff=lfs merge=lfs -text
98
+ artifacts/model_trainer/model/models/XGBoost_BAG_L1/utils/oof.pkl filter=lfs diff=lfs merge=lfs -text
99
+ artifacts/model_trainer/model/models/XGBoost_BAG_L2/S1F1/xgb.ubj filter=lfs diff=lfs merge=lfs -text
100
+ artifacts/model_trainer/model/models/XGBoost_BAG_L2/S1F2/xgb.ubj filter=lfs diff=lfs merge=lfs -text
101
+ artifacts/model_trainer/model/models/XGBoost_BAG_L2/S1F3/xgb.ubj filter=lfs diff=lfs merge=lfs -text
102
+ artifacts/model_trainer/model/models/XGBoost_BAG_L2/S1F4/xgb.ubj filter=lfs diff=lfs merge=lfs -text
103
+ artifacts/model_trainer/model/models/XGBoost_BAG_L2/S1F5/xgb.ubj filter=lfs diff=lfs merge=lfs -text
104
+ artifacts/model_trainer/model/models/XGBoost_BAG_L2/utils/oof.pkl filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -219,26 +219,4 @@ AutoML-MLOps-PipeLine/
219
  └── requirements.txt # Python dependencies
220
  ```
221
 
222
- ## 🤝 Contributing
223
-
224
- Contributions welcome! Please open an issue or submit a PR.
225
-
226
- ## 📄 License
227
-
228
- MIT License - see [LICENSE](LICENSE) file
229
-
230
- ## 🔗 Links
231
-
232
- - **GitHub**: https://github.com/Abeshith/AutoML-MLOps-PipeLine
233
- - **HuggingFace Space**: https://huggingface.co/spaces/Abeshith/AutoML_MLOps_PipeLine
234
- - **MLflow Tracking**: https://dagshub.com/abheshith7/AutoML-MLOps-PipeLine.mlflow
235
-
236
- ## 👤 Author
237
-
238
- **Abeshith**
239
- - GitHub: [@Abeshith](https://github.com/Abeshith)
240
- - HuggingFace: [@Abeshith](https://huggingface.co/Abeshith)
241
-
242
- ---
243
-
244
  ⭐ Star this repo if you find it helpful!
 
219
  └── requirements.txt # Python dependencies
220
  ```
221
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
222
  ⭐ Star this repo if you find it helpful!
artifacts/data_validation/status.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ Validation passed
artifacts/feature_engineering/preprocessor.pkl ADDED
Binary file (1.28 kB). View file
 
artifacts/logs/predictions/.gitkeep ADDED
File without changes
artifacts/logs/training/.gitkeep ADDED
File without changes
artifacts/model_evaluation/metrics.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "test_accuracy": 0.8868015873015873,
3
+ "test_f1_score": 0.8867795300321413,
4
+ "test_precision": 0.8867633828292247,
5
+ "test_recall": 0.8868015873015873,
6
+ "test_roc_auc": 0.9548228787393194
7
+ }
artifacts/model_pusher/push_metadata.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "pushed_at": "2026-02-12T09:40:51.954055",
3
+ "source_path": "artifacts\\model_trainer\\model",
4
+ "destination_path": "models\\production\\model",
5
+ "status": "success"
6
+ }
artifacts/model_trainer/feature_importance.json ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "importance": {
3
+ "Thallium": 0.047560000000000005,
4
+ "Max HR": 0.038759999999999975,
5
+ "Chest pain type": 0.033439999999999984,
6
+ "Number of vessels fluro": 0.017279999999999962,
7
+ "Exercise angina": 0.011239999999999962,
8
+ "Slope of ST": 0.01015999999999997,
9
+ "ST depression": 0.00895999999999999,
10
+ "Sex": 0.008319999999999972,
11
+ "Age": 0.005119999999999969,
12
+ "Cholesterol": 0.002359999999999962,
13
+ "EKG results": 0.00132000000000001,
14
+ "id_x_Age": 0.0009599999999999609,
15
+ "id": 0.0005999999999999784,
16
+ "BP": 0.00043999999999999595,
17
+ "FBS over 120": 3.999999999997339e-05
18
+ },
19
+ "stddev": {
20
+ "Thallium": 0.004646288841645584,
21
+ "Max HR": 0.00362049720342386,
22
+ "Chest pain type": 0.0030146309890266977,
23
+ "Number of vessels fluro": 0.0011713240371477066,
24
+ "Exercise angina": 0.0022154006409676706,
25
+ "Slope of ST": 0.0014380542409798262,
26
+ "ST depression": 0.0017910890541790213,
27
+ "Sex": 0.0027589853207293518,
28
+ "Age": 0.0029617562357493483,
29
+ "Cholesterol": 0.0016697305171792932,
30
+ "EKG results": 0.001025670512396625,
31
+ "id_x_Age": 0.0005727128425310356,
32
+ "id": 0.00019999999999997797,
33
+ "BP": 0.0004979959839195458,
34
+ "FBS over 120": 0.0004098780306383822
35
+ },
36
+ "p_value": {
37
+ "Thallium": 1.0792754024902715e-05,
38
+ "Max HR": 9.029912178562037e-06,
39
+ "Chest pain type": 7.840817257914156e-06,
40
+ "Number of vessels fluro": 2.518016255569998e-06,
41
+ "Exercise angina": 0.0001720909318076665,
42
+ "Slope of ST": 4.690238171262424e-05,
43
+ "ST depression": 0.00018181356893491384,
44
+ "Sex": 0.001260516958684887,
45
+ "Age": 0.00903124469382058,
46
+ "Cholesterol": 0.017084445926736715,
47
+ "EKG results": 0.02255786650856438,
48
+ "id_x_Age": 0.009989389707208399,
49
+ "id": 0.0012851303826996111,
50
+ "BP": 0.05969670203983758,
51
+ "FBS over 120": 0.4189700936972015
52
+ },
53
+ "n": {
54
+ "Thallium": 5,
55
+ "Max HR": 5,
56
+ "Chest pain type": 5,
57
+ "Number of vessels fluro": 5,
58
+ "Exercise angina": 5,
59
+ "Slope of ST": 5,
60
+ "ST depression": 5,
61
+ "Sex": 5,
62
+ "Age": 5,
63
+ "Cholesterol": 5,
64
+ "EKG results": 5,
65
+ "id_x_Age": 5,
66
+ "id": 5,
67
+ "BP": 5,
68
+ "FBS over 120": 5
69
+ },
70
+ "p99_high": {
71
+ "Thallium": 0.057126772943484616,
72
+ "Max HR": 0.046214653782438914,
73
+ "Chest pain type": 0.03964716687303417,
74
+ "Number of vessels fluro": 0.019691772381905746,
75
+ "Exercise angina": 0.015801540539843277,
76
+ "Slope of ST": 0.013120973558199283,
77
+ "ST depression": 0.01264787711803611,
78
+ "Sex": 0.01400078890861129,
79
+ "Age": 0.011218297025229342,
80
+ "Cholesterol": 0.005797998213000408,
81
+ "EKG results": 0.003431869761297667,
82
+ "id_x_Age": 0.0021392236585040586,
83
+ "id": 0.001011802764293697,
84
+ "BP": 0.0014653806139263048,
85
+ "FBS over 120": 0.0008839445302008227
86
+ },
87
+ "p99_low": {
88
+ "Thallium": 0.037993227056515394,
89
+ "Max HR": 0.031305346217561036,
90
+ "Chest pain type": 0.027232833126965797,
91
+ "Number of vessels fluro": 0.014868227618094178,
92
+ "Exercise angina": 0.006678459460156646,
93
+ "Slope of ST": 0.007199026441800655,
94
+ "ST depression": 0.005272122881963871,
95
+ "Sex": 0.0026392110913886525,
96
+ "Age": -0.0009782970252294031,
97
+ "Cholesterol": -0.0010779982130004833,
98
+ "EKG results": -0.000791869761297647,
99
+ "id_x_Age": -0.0002192236585041368,
100
+ "id": 0.00018819723570625982,
101
+ "BP": -0.0005853806139263129,
102
+ "FBS over 120": -0.0008039445302008758
103
+ }
104
+ }
artifacts/model_trainer/leaderboard.csv ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ model,score_val,eval_metric,pred_time_val,fit_time,pred_time_val_marginal,fit_time_marginal,stack_level,can_infer,fit_order
2
+ WeightedEnsemble_L3,0.8884166666666666,accuracy,6.368147373199463,185.18996047973633,0.0362851619720459,13.78397822380066,3,True,12
3
+ XGBoost_BAG_L2,0.8883333333333333,accuracy,4.772806644439697,117.99682998657227,0.7316691875457764,19.488352060317993,2,True,10
4
+ LightGBM_BAG_L2,0.8882916666666667,accuracy,4.236595630645752,108.94257974624634,0.19545817375183105,10.434101819992065,2,True,8
5
+ LightGBMLarge_BAG_L2,0.8882896825396825,accuracy,4.524163246154785,121.30039930343628,0.48302578926086426,22.791921377182007,2,True,11
6
+ LightGBMXT_BAG_L2,0.8881607142857143,accuracy,4.921709060668945,118.6916069984436,0.8805716037750244,20.18312907218933,2,True,7
7
+ WeightedEnsemble_L2,0.888140873015873,accuracy,3.4903199672698975,91.3477520942688,0.029932737350463867,4.999566316604614,2,True,6
8
+ CatBoost_BAG_L2,0.8880694444444445,accuracy,4.092148065567017,129.36256766319275,0.0510106086730957,30.854089736938477,2,True,9
9
+ CatBoost_BAG_L1,0.8711408730158731,accuracy,0.05260515213012695,2.6617836952209473,0.05260515213012695,2.6617836952209473,1,True,3
10
+ XGBoost_BAG_L1,0.8563115079365079,accuracy,1.0044958591461182,38.38530468940735,1.0044958591461182,38.38530468940735,1,True,4
11
+ LightGBM_BAG_L1,0.8209186507936508,accuracy,1.5950639247894287,26.91775679588318,1.5950639247894287,26.91775679588318,1,True,2
12
+ LightGBMXT_BAG_L1,0.6850019841269841,accuracy,0.5807502269744873,12.160292148590088,0.5807502269744873,12.160292148590088,1,True,1
13
+ LightGBMLarge_BAG_L1,0.6837380952380953,accuracy,0.8082222938537598,18.38334059715271,0.8082222938537598,18.38334059715271,1,True,5
artifacts/model_trainer/model/learner.pkl ADDED
Binary file (8.26 kB). View file
 
artifacts/model_trainer/model/metadata.json ADDED
@@ -0,0 +1,279 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "system": "Windows",
3
+ "version": "1.5.0",
4
+ "lite": false,
5
+ "py_version": "3.11",
6
+ "py_version_micro": "3.11.9",
7
+ "packages": {
8
+ "aiohappyeyeballs": "2.6.1",
9
+ "aiohttp": "3.13.3",
10
+ "aiohttp-retry": "2.9.1",
11
+ "aiosignal": "1.4.0",
12
+ "alembic": "1.18.3",
13
+ "amqp": "5.3.1",
14
+ "annotated-doc": "0.0.4",
15
+ "annotated-types": "0.7.0",
16
+ "antlr4-python3-runtime": "4.9.3",
17
+ "anyio": "4.12.1",
18
+ "appdirs": "1.4.4",
19
+ "asttokens": "3.0.1",
20
+ "asyncssh": "2.22.0",
21
+ "atpublic": "7.0.0",
22
+ "attrs": "25.4.0",
23
+ "autogluon.common": "1.5.0",
24
+ "autogluon.core": "1.5.0",
25
+ "autogluon.features": "1.5.0",
26
+ "autogluon.tabular": "1.5.0",
27
+ "billiard": "4.2.4",
28
+ "black": "25.12.0",
29
+ "bleach": "6.3.0",
30
+ "blinker": "1.9.0",
31
+ "boto3": "1.42.40",
32
+ "botocore": "1.42.40",
33
+ "cachetools": "6.2.6",
34
+ "catboost": "1.2.8",
35
+ "category_encoders": "2.7.0",
36
+ "celery": "5.6.2",
37
+ "certifi": "2026.1.4",
38
+ "cffi": "2.0.0",
39
+ "charset-normalizer": "3.4.4",
40
+ "choreographer": "1.2.1",
41
+ "click": "8.3.1",
42
+ "click-didyoumean": "0.3.1",
43
+ "click-plugins": "1.1.1.2",
44
+ "click-repl": "0.3.0",
45
+ "cloudpickle": "3.1.2",
46
+ "colorama": "0.4.6",
47
+ "comm": "0.2.3",
48
+ "configobj": "5.0.9",
49
+ "contourpy": "1.3.3",
50
+ "cramjam": "2.11.0",
51
+ "cryptography": "46.0.4",
52
+ "cycler": "0.12.1",
53
+ "cython": "3.2.4",
54
+ "dash": "3.4.0",
55
+ "databricks-sdk": "0.82.0",
56
+ "decorator": "5.2.1",
57
+ "deprecation": "2.1.0",
58
+ "dictdiffer": "0.9.0",
59
+ "diskcache": "5.6.3",
60
+ "distro": "1.9.0",
61
+ "docker": "7.1.0",
62
+ "dpath": "2.2.0",
63
+ "dulwich": "1.0.0",
64
+ "dvc": "3.66.1",
65
+ "dvc-data": "3.18.2",
66
+ "dvc-http": "2.32.0",
67
+ "dvc-objects": "5.2.0",
68
+ "dvc-render": "1.0.2",
69
+ "dvc-studio-client": "0.22.0",
70
+ "dvc-task": "0.40.2",
71
+ "dynaconf": "3.2.12",
72
+ "ensure": "1.0.4",
73
+ "entrypoints": "0.4",
74
+ "evidently": "0.7.20",
75
+ "executing": "2.2.1",
76
+ "faker": "40.1.2",
77
+ "fastapi": "0.128.0",
78
+ "fastjsonschema": "2.21.2",
79
+ "fastparquet": "2025.12.0",
80
+ "filelock": "3.20.3",
81
+ "flaml": "2.5.0",
82
+ "flask": "3.1.2",
83
+ "flask-cors": "6.0.2",
84
+ "flatten-dict": "0.4.2",
85
+ "flufl.lock": "9.0.0",
86
+ "fonttools": "4.61.1",
87
+ "frozenlist": "1.8.0",
88
+ "fsspec": "2026.1.0",
89
+ "funcy": "2.0",
90
+ "gitdb": "4.0.12",
91
+ "gitpython": "3.1.46",
92
+ "google-auth": "2.48.0",
93
+ "grandalf": "0.8",
94
+ "graphene": "3.4.3",
95
+ "graphql-core": "3.2.7",
96
+ "graphql-relay": "3.2.0",
97
+ "graphviz": "0.21",
98
+ "greenlet": "3.3.1",
99
+ "gto": "1.9.0",
100
+ "h11": "0.16.0",
101
+ "httpcore": "1.0.9",
102
+ "httptools": "0.7.1",
103
+ "httpx": "0.28.1",
104
+ "huey": "2.6.0",
105
+ "hydra-core": "1.3.2",
106
+ "idna": "3.11",
107
+ "imbalanced-learn": "0.14.1",
108
+ "importlib_metadata": "8.7.1",
109
+ "iniconfig": "2.3.0",
110
+ "ipython": "9.10.0",
111
+ "ipython_pygments_lexers": "1.1.1",
112
+ "ipywidgets": "8.1.8",
113
+ "iterative-telemetry": "0.0.10",
114
+ "itsdangerous": "2.2.0",
115
+ "jedi": "0.19.2",
116
+ "jinja2": "3.1.6",
117
+ "jmespath": "1.1.0",
118
+ "joblib": "1.3.2",
119
+ "jsonschema": "4.26.0",
120
+ "jsonschema-specifications": "2025.9.1",
121
+ "jupyterlab_widgets": "3.0.16",
122
+ "jupyter_core": "5.9.1",
123
+ "kaggle": "1.8.3",
124
+ "kagglesdk": "0.1.15",
125
+ "kaleido": "1.2.0",
126
+ "kiwisolver": "1.4.9",
127
+ "kombu": "5.6.2",
128
+ "librt": "0.7.8",
129
+ "lightgbm": "4.6.0",
130
+ "litestar": "2.19.0",
131
+ "litestar-htmx": "0.5.0",
132
+ "llvmlite": "0.46.0",
133
+ "logistro": "2.0.1",
134
+ "mako": "1.3.10",
135
+ "markdown-it-py": "4.0.0",
136
+ "markupsafe": "3.0.3",
137
+ "matplotlib": "3.7.5",
138
+ "matplotlib-inline": "0.2.1",
139
+ "mdurl": "0.1.2",
140
+ "mlflow": "3.9.0",
141
+ "mlflow-skinny": "3.9.0",
142
+ "mlflow-tracing": "3.9.0",
143
+ "mlpipeline": "0.1.0",
144
+ "msgspec": "0.20.0",
145
+ "multidict": "6.7.1",
146
+ "multipart": "1.3.0",
147
+ "mypy": "1.19.1",
148
+ "mypy_extensions": "1.1.0",
149
+ "nbformat": "5.10.4",
150
+ "nest-asyncio": "1.6.0",
151
+ "networkx": "3.6.1",
152
+ "nltk": "3.9.2",
153
+ "numba": "0.63.1",
154
+ "numpy": "1.26.4",
155
+ "omegaconf": "2.3.0",
156
+ "opentelemetry-api": "1.39.1",
157
+ "opentelemetry-proto": "1.39.1",
158
+ "opentelemetry-sdk": "1.39.1",
159
+ "opentelemetry-semantic-conventions": "0.60b1",
160
+ "orjson": "3.11.7",
161
+ "packaging": "25.0",
162
+ "pandas": "2.1.4",
163
+ "parso": "0.8.5",
164
+ "pathspec": "0.12.1",
165
+ "patsy": "1.0.2",
166
+ "pillow": "12.1.0",
167
+ "pip": "24.0",
168
+ "platformdirs": "4.5.1",
169
+ "plotly": "5.24.1",
170
+ "plotly-resampler": "0.11.0",
171
+ "pluggy": "1.6.0",
172
+ "pmdarima": "2.0.4",
173
+ "polyfactory": "3.2.0",
174
+ "prettytable": "3.17.0",
175
+ "prometheus_client": "0.24.1",
176
+ "prompt_toolkit": "3.0.52",
177
+ "propcache": "0.4.1",
178
+ "protobuf": "6.33.5",
179
+ "psutil": "7.1.3",
180
+ "pure_eval": "0.2.3",
181
+ "pyarrow": "20.0.0",
182
+ "pyasn1": "0.6.2",
183
+ "pyasn1_modules": "0.4.2",
184
+ "pycaret": "3.3.2",
185
+ "pycparser": "3.0",
186
+ "pydantic": "2.12.5",
187
+ "pydantic_core": "2.41.5",
188
+ "pydantic-settings": "2.12.0",
189
+ "pydot": "4.0.1",
190
+ "pygit2": "1.19.1",
191
+ "pygments": "2.19.2",
192
+ "pygtrie": "2.5.0",
193
+ "pyod": "2.0.6",
194
+ "pyparsing": "3.3.2",
195
+ "pytest": "9.0.2",
196
+ "pytest-timeout": "2.4.0",
197
+ "python-box": "7.3.2",
198
+ "python-dateutil": "2.9.0.post0",
199
+ "python-dotenv": "1.2.1",
200
+ "python-json-logger": "4.0.0",
201
+ "python-multipart": "0.0.22",
202
+ "python-slugify": "8.0.4",
203
+ "pytokens": "0.4.1",
204
+ "pytz": "2025.2",
205
+ "pywin32": "311",
206
+ "pyyaml": "6.0.3",
207
+ "referencing": "0.37.0",
208
+ "regex": "2026.1.15",
209
+ "requests": "2.32.5",
210
+ "retrying": "1.4.2",
211
+ "rich": "14.3.2",
212
+ "rich-click": "1.9.7",
213
+ "rpds-py": "0.30.0",
214
+ "rsa": "4.9.1",
215
+ "ruamel.yaml": "0.19.1",
216
+ "s3transfer": "0.16.0",
217
+ "schemdraw": "0.15",
218
+ "scikit-base": "0.7.8",
219
+ "scikit-learn": "1.4.2",
220
+ "scikit-plot": "0.3.7",
221
+ "scipy": "1.11.4",
222
+ "scmrepo": "3.6.1",
223
+ "semver": "3.0.4",
224
+ "setuptools": "65.5.0",
225
+ "shellingham": "1.5.4",
226
+ "shortuuid": "1.0.13",
227
+ "shtab": "1.8.0",
228
+ "simplejson": "3.20.2",
229
+ "six": "1.17.0",
230
+ "sklearn-compat": "0.1.5",
231
+ "skops": "0.13.0",
232
+ "sktime": "0.26.0",
233
+ "smmap": "5.0.2",
234
+ "sniffio": "1.3.1",
235
+ "sqlalchemy": "2.0.46",
236
+ "sqlparse": "0.5.5",
237
+ "sqltrie": "0.11.2",
238
+ "stack-data": "0.6.3",
239
+ "starlette": "0.50.0",
240
+ "statsmodels": "0.14.6",
241
+ "tabulate": "0.9.0",
242
+ "tbats": "1.1.3",
243
+ "tenacity": "9.1.2",
244
+ "text-unidecode": "1.3",
245
+ "threadpoolctl": "3.6.0",
246
+ "tomlkit": "0.14.0",
247
+ "tqdm": "4.67.2",
248
+ "traitlets": "5.14.3",
249
+ "tsdownsample": "0.1.4.1",
250
+ "typer": "0.21.1",
251
+ "types-requests": "2.32.4.20260107",
252
+ "types-tqdm": "4.67.2.20260202",
253
+ "typing_extensions": "4.15.0",
254
+ "typing-inspect": "0.9.0",
255
+ "typing-inspection": "0.4.2",
256
+ "tzdata": "2025.3",
257
+ "tzlocal": "5.3.1",
258
+ "ujson": "5.11.0",
259
+ "urllib3": "2.6.3",
260
+ "uuid6": "2025.0.1",
261
+ "uvicorn": "0.40.0",
262
+ "vine": "5.1.0",
263
+ "voluptuous": "0.16.0",
264
+ "waitress": "3.0.2",
265
+ "watchdog": "6.0.0",
266
+ "watchfiles": "1.1.1",
267
+ "wcwidth": "0.5.3",
268
+ "webencodings": "0.5.1",
269
+ "websockets": "16.0",
270
+ "werkzeug": "3.1.5",
271
+ "widgetsnbextension": "4.0.15",
272
+ "xgboost": "3.1.3",
273
+ "xxhash": "3.6.0",
274
+ "yarl": "1.22.0",
275
+ "yellowbrick": "1.5",
276
+ "zc.lockfile": "4.0",
277
+ "zipp": "3.23.0"
278
+ }
279
+ }
artifacts/model_trainer/model/models/CatBoost_BAG_L1/S1F1/model.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aa66274d24ad5da80819807c3e43dec65adcdb7474b45e480f2be2f3f4f221b0
3
+ size 919116
artifacts/model_trainer/model/models/CatBoost_BAG_L1/S1F2/model.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:365539a8528adbe4f77297bda7a6505d4c452167cad183f0b7de1aa790a60d46
3
+ size 919116
artifacts/model_trainer/model/models/CatBoost_BAG_L1/S1F3/model.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5798b1dd83070cb7cf10903cf9b30345314425f0122c47ab43633e07f163641a
3
+ size 919108
artifacts/model_trainer/model/models/CatBoost_BAG_L1/S1F4/model.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fee5972132d4feae0049cf99a1deb4f5c4753f35f88c48f4790dfe85eae74b78
3
+ size 919116
artifacts/model_trainer/model/models/CatBoost_BAG_L1/S1F5/model.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dcbafc7515d702611faa1a3cee5ec48ec13bba250aa6114959a6d465c9e3564a
3
+ size 919116
artifacts/model_trainer/model/models/CatBoost_BAG_L1/model.pkl ADDED
Binary file (3.74 kB). View file
 
artifacts/model_trainer/model/models/CatBoost_BAG_L1/utils/model_template.pkl ADDED
Binary file (1.12 kB). View file
 
artifacts/model_trainer/model/models/CatBoost_BAG_L1/utils/oof.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:416899e0548eff4ed44b2620834f0caf8f63926872ca38d8ee0fc80881648c81
3
+ size 4536291
artifacts/model_trainer/model/models/CatBoost_BAG_L2/S1F1/model.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e03fa08d02f34799f3ef66ad5a36119e94de0f73718da771ceeebe95476671a
3
+ size 937302
artifacts/model_trainer/model/models/CatBoost_BAG_L2/S1F2/model.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ff71bc85667886008521a2210386027e6dfb507d456b27c64aa6f3003f9fd8a0
3
+ size 1071510
artifacts/model_trainer/model/models/CatBoost_BAG_L2/S1F3/model.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5dd925369eeeb1efda2f928c096474b6a8e9ee87fc0b19fa9917fe007b55734a
3
+ size 981334
artifacts/model_trainer/model/models/CatBoost_BAG_L2/S1F4/model.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:811904524610707ec2c5fa65478b2702b79ec6846d749c848b498ad3026c5bfb
3
+ size 1065270
artifacts/model_trainer/model/models/CatBoost_BAG_L2/S1F5/model.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:781337166e27bc78df949545048e6fbef43acbe8bb5c7a25c996558ff74e7277
3
+ size 951110
artifacts/model_trainer/model/models/CatBoost_BAG_L2/model.pkl ADDED
Binary file (4.33 kB). View file
 
artifacts/model_trainer/model/models/CatBoost_BAG_L2/utils/model_template.pkl ADDED
Binary file (1.12 kB). View file
 
artifacts/model_trainer/model/models/CatBoost_BAG_L2/utils/oof.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ce29c0e686ac63055b0512add048206bb3c26fdabf1f4206450b0c0818480b1b
3
+ size 4536291
artifacts/model_trainer/model/models/ExtraTreesEntr_BAG_L1/utils/model_template.pkl ADDED
Binary file (1.16 kB). View file
 
artifacts/model_trainer/model/models/ExtraTreesEntr_BAG_L2/utils/model_template.pkl ADDED
Binary file (1.16 kB). View file
 
artifacts/model_trainer/model/models/ExtraTreesGini_BAG_L1/utils/model_template.pkl ADDED
Binary file (1.16 kB). View file
 
artifacts/model_trainer/model/models/ExtraTreesGini_BAG_L2/utils/model_template.pkl ADDED
Binary file (1.16 kB). View file
 
artifacts/model_trainer/model/models/LightGBMLarge_BAG_L1/S1F1/model.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5c3eae156b69016dc7c4519f716c383b946a0f85d2293244816854b6af485b29
3
+ size 3960981
artifacts/model_trainer/model/models/LightGBMLarge_BAG_L1/S1F2/model.pkl ADDED
Binary file (21.1 kB). View file
 
artifacts/model_trainer/model/models/LightGBMLarge_BAG_L1/S1F3/model.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6aefd0e4ce1e630c13ef2417eb216a76e4d96ca77f403e9c97c321751308beca
3
+ size 163657
artifacts/model_trainer/model/models/LightGBMLarge_BAG_L1/S1F4/model.pkl ADDED
Binary file (21.1 kB). View file
 
artifacts/model_trainer/model/models/LightGBMLarge_BAG_L1/S1F5/model.pkl ADDED
Binary file (21.1 kB). View file
 
artifacts/model_trainer/model/models/LightGBMLarge_BAG_L1/model.pkl ADDED
Binary file (3.73 kB). View file
 
artifacts/model_trainer/model/models/LightGBMLarge_BAG_L1/utils/model_template.pkl ADDED
Binary file (1.25 kB). View file
 
artifacts/model_trainer/model/models/LightGBMLarge_BAG_L1/utils/oof.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2a90ba368170fbb8b3cc59a3704b243595c23a20b00226495c9bfb02a3b28741
3
+ size 4536291
artifacts/model_trainer/model/models/LightGBMLarge_BAG_L2/S1F1/model.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:51e777734eebd9005d4d8126b9ba8f725fc0e2e2cb3cfa5674dfe42cf7b06b66
3
+ size 647606
artifacts/model_trainer/model/models/LightGBMLarge_BAG_L2/S1F2/model.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c0945b744c0bf98603527af8f9e95da394b7d2dbc4736234e284a89a9b8b07a
3
+ size 758503
artifacts/model_trainer/model/models/LightGBMLarge_BAG_L2/S1F3/model.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:de265493545b78a8b3ef3cdd5ba0cd738d67f729d6937c8bd2db2b125f01bf8c
3
+ size 675439
artifacts/model_trainer/model/models/LightGBMLarge_BAG_L2/S1F4/model.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:48f233113be67760377d0da9cd29f54670b43270e11d49225a33901938598338
3
+ size 1396161
artifacts/model_trainer/model/models/LightGBMLarge_BAG_L2/S1F5/model.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f225c225f19fa5b5fbef31a00ea329a9a3664d058d4055962a40578f41cd9363
3
+ size 967089
artifacts/model_trainer/model/models/LightGBMLarge_BAG_L2/model.pkl ADDED
Binary file (4.33 kB). View file
 
artifacts/model_trainer/model/models/LightGBMLarge_BAG_L2/utils/model_template.pkl ADDED
Binary file (1.25 kB). View file
 
artifacts/model_trainer/model/models/LightGBMLarge_BAG_L2/utils/oof.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:077fa334a643a17dcfad5248ed039191628e85cf8d25426faf7878408204e803
3
+ size 4536291
artifacts/model_trainer/model/models/LightGBMXT_BAG_L1/S1F1/model.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:880ef46a3ff4b730d61877177bda546ecc57911874f8422d86775bc0ede4979c
3
+ size 614260
artifacts/model_trainer/model/models/LightGBMXT_BAG_L1/S1F2/model.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b3b308e19e5f7fcd278946c67a622eb46313887475227d00e68741e9d1f3db0f
3
+ size 335950