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izam-mohammed
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Wine-Quality-Prediction
connected to https://github.com/izam-mohammed/Wine-Quality-Prediction.git

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  1. schema: '2.0'
    2. 

  2. stages:
    3. 

  3.   data_ingestion:
    4. 

  4.     cmd: python src/mlProject/pipeline/stage_01_data_ingestion.py
    5. 

  5.     deps:
    6. 

  6.     - path: config/config.yaml
    7. 

  7.       hash: md5
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    18. 

  18.       size: 124280
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  19.       nfiles: 2
    20. 

  20.   data_validation:
    21. 

  21.     cmd: python src/mlProject/pipeline/stage_02_data_validation.py
    22. 

  22.     deps:
    23. 

  23.     - path: config/config.yaml
    24. 

  24.       hash: md5
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  31.     - path: src/mlProject/pipeline/stage_02_data_validation.py
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  33.       md5: 97a5d60cfb2735ed965db69402b48b65
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  39.       size: 23
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  40.       nfiles: 1
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  41.   data_transformation:
    42. 

  42.     cmd: python src/mlProject/pipeline/stage_03_data_transformation.py
    43. 

  43.     deps:
    44. 

  44.     - path: artifacts/data_ingestion
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  45.       hash: md5
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  49.     - path: config/config.yaml
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    61. 

  61.       size: 93631
    62. 

  62.       nfiles: 2
    63. 

  63.   model_training:
    64. 

  64.     cmd: python src/mlProject/pipeline/stage_04_model_trainer.py
    65. 

  65.     deps:
    66. 

  66.     - path: artifacts/data_transformation
    67. 

  67.       hash: md5
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  69.       size: 93631
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  71.     - path: config/config.yaml
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  73.       md5: 374c307693ec3d5fa388407e221f8810
    74. 

  74.       size: 995
    75. 

  75.     - path: src/mlProject/pipeline/stage_04_model_trainer.py
    76. 

  76.       hash: md5
    77. 

  77.       md5: 592c2255288969cc7c2298f96626d92e
    78. 

  78.       size: 831
    79. 

  79.     params:
    80. 

  80.       params.yaml:
    81. 

  81.         ElasticNet:
    82. 

  82.           alpha: 0.2
    83. 

  83.           l1_ratio: 0.1
    84. 

  84.     outs:
    85. 

  85.     - path: artifacts/model_trainer
    86. 

  86.       hash: md5
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    88. 

  88.       size: 1233
    89. 

  89.       nfiles: 1
    90. 

  90.   model_evaluation:
    91. 

  91.     cmd: python src/mlProject/pipeline/stage_05_model_evaluation.py
    92. 

  92.     deps:
    93. 

  93.     - path: artifacts/data_transformation
    94. 

  94.       hash: md5
    95. 

  95.       md5: 59d7038f1c8cdc56252b40dc9cdfc26d.dir
    96. 

  96.       size: 93631
    97. 

  97.       nfiles: 2
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  98.     - path: artifacts/model_trainer
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    101. 

  101.       size: 1233
    102. 

  102.       nfiles: 1
    103. 

  103.     - path: config/config.yaml
    104. 

  104.       hash: md5
    105. 

  105.       md5: 374c307693ec3d5fa388407e221f8810
    106. 

  106.       size: 995
    107. 

  107.     - path: src/mlProject/pipeline/stage_05_model_evaluation.py
    108. 

  108.       hash: md5
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  109.       md5: 989a7bc0c0bfaa13e1be5a947e299c60
    110. 

  110.       size: 871
    111. 

  111.     outs:
    112. 

  112.     - path: artifacts/model_evaluation
    113. 

  113.       hash: md5
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  114.       md5: 0d982b14a8c99abc0f890e4245a721ee.dir
    115. 

  115.       size: 96
    116. 

  116.       nfiles: 1
    117.
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