dvc.lock

schema: '2.0'
stages:
  load_data:
    cmd: python src/load_data.py --config=params.yaml
    deps:
    - path: data_given/winequality.csv
      md5: ccc8d3507eb151f53f760d36abdef888
      size: 91998
    - path: src/get_data.py
      md5: be9811e7f59b81808c5e502a7e014ac3
      size: 669
    - path: src/load_data.py
      md5: 85006e806277c4b664afc377281e4c6c
      size: 733
    outs:
    - path: data/raw/winequality.csv
      md5: d98e8f2eca228c11c4de1cc96866a54d
      size: 91998
      isexec: true
  split_data:
    cmd: python src/split_data.py --config=params.yaml
    deps:
    - path: data/raw/winequality.csv
      md5: d98e8f2eca228c11c4de1cc96866a54d
      size: 91998
    - path: src/split_data.py
      md5: 58e738d2e73d9a8a81c9a6e0fb2a7714
      size: 1058
    outs:
    - path: data/processed/test_winequality.csv
      md5: 61c8795e355c18440d7bbaae25c0a4fb
      size: 19892
      isexec: true
    - path: data/processed/train_winequality.csv
      md5: f2aa3bd0c97468b7110f957a1ed59f54
      size: 79138
      isexec: true
  train_and_evaluate:
    cmd: python src/train_and_evaluate.py --config=params.yaml
    deps:
    - path: data/processed/test_winequality.csv
      md5: 61c8795e355c18440d7bbaae25c0a4fb
      size: 19892
    - path: data/processed/train_winequality.csv
      md5: f2aa3bd0c97468b7110f957a1ed59f54
      size: 79138
    - path: src/train_and_evaluate.py
      md5: 06b17e20de2cedeef786d0672f38d56b
      size: 2716
    params:
      params.yaml:
        estimators.ElasticNet.params.alpha: 0.9
        estimators.ElasticNet.params.l1_ratio: 0.4
  log_production_model:
    cmd: python src/log_production_model.py --config=params.yaml
    deps:
    - path: src/log_production_model.py
      md5: 33424b0b224bdca4e996c6b403251111
      size: 1707