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Raj-Narayanan-B
/
scania_truck
connected to https://github.com/Raj-Narayanan-B/scania_truck.git

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  1. schema: '2.0'
    2. 

  2. stages:
    3. 

  3.   pip_requirements:
    4. 

  4.     cmd: pip install -r requirements.txt
    5. 

  5.   stage_1_processing:
    6. 

  6.     cmd: python src/pipeline/training_pipeline.py training_pipeline_obj.initial_processing_
    7. 

  7.     deps:
    8. 

  8.     - path: artifacts/data/raw/test_data_1.csv
    9. 

  9.       hash: md5
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  10.       md5: 533af08600512981ce8a08ef67b4ecca
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  11.       size: 5082459
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  12.     - path: artifacts/data/raw/test_data_2.csv
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  16.     - path: artifacts/data/raw/test_data_3.csv
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  19.       size: 1816483
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  21.       hash: md5
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  22.       md5: 259d633b73dcff0024112122c20f5352
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  23.       size: 19032277
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  28.     - path: artifacts/data/raw/train_data_3.csv
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  29.       hash: md5
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  30.       md5: e145c8dba3370ab3616c69fae3702588
    31. 

  31.       size: 6820608
    32. 

  32.     outs:
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  33.     - path: artifacts/data/processed/stage_1_processing/preprocessed_test_data.csv
    34. 

  34.       hash: md5
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  36.       size: 16295271
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  37.     - path: artifacts/data/processed/stage_1_processing/preprocessed_train_data.csv
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  39.       md5: fc9e7a6e78a63bc12c9e0f3e4e694aab
    40. 

  40.       size: 61022889
    41. 

  41.   data_splitting:
    42. 

  42.     cmd: python src/pipeline/training_pipeline.py training_pipeline_obj.training_pipeline.data_splitting
    43. 

  43.     deps:
    44. 

  44.     - path: artifacts/data/processed/stage_1_processing/preprocessed_train_data.csv
    45. 

  45.       hash: md5
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    55. 

  55.       md5: 6c0ad1881e8ebda8839ad0b789539860
    56. 

  56.       size: 45775822
    57. 

  57.   stage_2_processing:
    58. 

  58.     cmd: python src/pipeline/training_pipeline.py training_pipeline_obj.training_pipeline.final_processing
    59. 

  59.     deps:
    60. 

  60.     - path: artifacts/data/train_test/test.csv
    61. 

  61.       hash: md5
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  62.       md5: 08d12078b2234f18bd07adb7002f58fb
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    67. 

  67.       size: 45775822
    68. 

  68.     outs:
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  69.     - path: artifacts/data/processed/stage_2_processing/processed_test_data.csv
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  73.     - path: artifacts/data/processed/stage_2_processing/processed_train_data.csv
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  76.       size: 230309428
    77. 

  77.     - path: artifacts/preprocessor/preprocessor.joblib
    78. 

  78.       hash: md5
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  79.       md5: bdc5b7f4581519a04338bce0591122e9
    80. 

  80.       size: 68856462
    81. 

  81.   data_ingestion:
    82. 

  82.     cmd: python src/pipeline/training_pipeline.py training_pipeline_obj.data_ingestion_
    83. 

  83.     deps:
    84. 

  84.     - path: Secrets/Bundles/Test Data Bundles/secure-connect-scania-truck-failure-test1.zip
    85. 

  85.       hash: md5
    86. 

  86.       md5: 2138fa96bba3bd7007bcd45536d39101
    87. 

  87.       size: 12280
    88. 

  88.     - path: Secrets/Bundles/Test Data Bundles/secure-connect-scania-truck-failure-test2.zip
    89. 

  89.       hash: md5
    90. 

  90.       md5: 3624d826618f4bde57b18f761a257117
    91. 

  91.       size: 12282
    92. 

  92.     - path: Secrets/Bundles/Test Data Bundles/secure-connect-scania-truck-failure-test3.zip
    93. 

  93.       hash: md5
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  94.       md5: da0f67b5b0dfc4bd616de22efa10fc93
    95. 

  95.       size: 12275
    96. 

  96.     - path: Secrets/Bundles/secure-connect-scania-truck-failure-1.zip
    97. 

  97.       hash: md5
    98. 

  98.       md5: 219314d721bd24e35602128bfceced69
    99. 

  99.       size: 12289
    100. 

  100.     - path: Secrets/Bundles/secure-connect-scania-truck-failure-train-2.zip
    101. 

  101.       hash: md5
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  102.       md5: 62d5abcfb6e8a7777ace6099786087d5
    103. 

  103.       size: 12287
    104. 

  104.     - path: Secrets/Bundles/secure-connect-scania-truck-failure-train-3.zip
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  106.       md5: 87c503d91c04d6e43d82179dcccb65a3
    107. 

  107.       size: 12265
    108. 

  108.     - path: Secrets/Tokens/Test Data Tokens/scania_truck_failure_test1-token.json
    109. 

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  110.       md5: 823ae598491d33d4b7be1f9238182bd6
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  111.       size: 300
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  112.     - path: Secrets/Tokens/Test Data Tokens/scania_truck_failure_test2-token.json
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  115.       size: 300
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  116.     - path: Secrets/Tokens/Test Data Tokens/scania_truck_failure_test3-token.json
    117. 

  117.       hash: md5
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  118.       md5: a4a14143988ebcab743414142fe0a96d
    119. 

  119.       size: 300
    120. 

  120.     - path: Secrets/Tokens/scania_truck_failure_1-token.json
    121. 

  121.       hash: md5
    122. 

  122.       md5: 3147e8f76d1b5c73747482d54824ef6a
    123. 

  123.       size: 300
    124. 

  124.     - path: Secrets/Tokens/scania_truck_failure_train_2-token.json
    125. 

  125.       hash: md5
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  126.       md5: 89338c6a126eefdeb94712fc09ae29f8
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  127.       size: 300
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  128.     - path: Secrets/Tokens/scania_truck_failure_train_3-token.json
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  131.       size: 300
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  132.     outs:
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  133.     - path: artifacts/data/raw/test_data_1.csv
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  137.     - path: artifacts/data/raw/test_data_2.csv
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  140.       size: 5314170
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  141.     - path: artifacts/data/raw/test_data_3.csv
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  142.       hash: md5
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  143.       md5: 0afbc2bf50d94ab9deb968a1e22ab654
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  144.       size: 1816483
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  145.     - path: artifacts/data/raw/train_data_1.csv
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    156. 

  156.       size: 6820608
    157. 

  157.   model_tuning_tracking_training:
    158. 

  158.     cmd: python src/pipeline/training_pipeline.py training_pipeline_obj.training_pipeline.models_tuning
    159. 

  159.     deps:
    160. 

  160.     - path: artifacts/data/processed/stage_2_processing/processed_test_data.csv
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  164.     - path: artifacts/data/processed/stage_2_processing/processed_train_data.csv
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  168.     outs:
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  169.     - path: artifacts/metrics/metrics.yaml
    170. 

  170.       hash: md5
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  171.       md5: dc116656e282ea5d9c425093c94b9310
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  173.     - path: artifacts/metrics/model_trial_study_df.csv
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  175.       md5: 7029a863238fe20929a441269b606702
    176. 

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    177. 

  177.     - path: artifacts/model/hp_tuned_model/final_estimator.joblib
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  179.       md5: efbc69dae080950b5a353f630487abe2
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  180.       size: 490804
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  181.     - path: artifacts/model/hp_tuned_model/stacking_classifier.joblib
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  185.     - path: artifacts/model/hp_tuned_model/voting_classifier.joblib
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  187.       md5: ef2a76318f6c7266e15f5afd9d211199
    188. 

  188.       size: 22975664
    189. 

  189.   test_data_prediction:
    190. 

  190.     cmd: python src/pipeline/training_pipeline.py training_pipeline_obj.training_pipeline.model_training
    191. 

  191.     deps:
    192. 

  192.     - path: artifacts/data/processed/stage_1_processing/preprocessed_test_data.csv
    193. 

  193.       hash: md5
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  194.       md5: cc82d8c9aa20fb97d053ebff7bf5b191
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  196.     - path: artifacts/model/hp_tuned_model/final_estimator.joblib
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  199.       size: 490804
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  200.     - path: artifacts/model/hp_tuned_model/stacking_classifier.joblib
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  201.       hash: md5
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  202.       md5: c2d1b40fb44a45afc6916a881b3f60ef
    203. 

  203.       size: 23751110
    204. 

  204.     - path: artifacts/model/hp_tuned_model/voting_classifier.joblib
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  205.       hash: md5
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  206.       md5: ef2a76318f6c7266e15f5afd9d211199
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  207.       size: 22975664
    208. 

  208.     - path: artifacts/preprocessor/preprocessor.joblib
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  210.       md5: bdc5b7f4581519a04338bce0591122e9
    211. 

  211.       size: 68856462
    212. 

  212.     - path: schema.yaml
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  213.       hash: md5
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  214.       md5: 95ff19d9850439179c07ad34865353b3
    215. 

  215.       size: 3605
    216. 

  216.     outs:
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  217.     - path: artifacts/data/final_testing_data_and_predicted_data/predictions.csv
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  219.       md5: d07cd6edb41612e09df45224a97842ca
    220. 

  220.       size: 93582
    221. 

  221.     - path: artifacts/data/final_testing_data_and_predicted_data/transformed_test_df.csv
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  223.       md5: 2ab808645574cb0497354cf1452d7a97
    224. 

  224.       size: 81340854
    225. 

  225.     - path: artifacts/metrics/best_metric.yaml
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  226.       hash: md5
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  227.       md5: b9a63c65c43e4513b16dedfa12c12859
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  228.       size: 620
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  229.     - path: artifacts/model/champion_model.joblib
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  230.       hash: md5
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  231.       md5: 70793f8ff50be42226b73f395b8f20b3
    232. 

  232.       size: 22982320
    233.
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