mlops-template/dvc.lock at main · mathewsrc/mlops-template · GitHub

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schema: '2.0'
stages:
  preprocess:
    cmd: python src/preprocess.py
    deps:
    - path: raw_dataset/apple_quality.csv
      hash: md5
      md5: c5d3bb68c6b4505943c884e373313980
      size: 387649
    - path: src/preprocess.py
      hash: md5
      md5: 3c90d5ae8b52f20860eb6338232674a0
      size: 3749
    - path: src/utils.py
      hash: md5
      md5: 5bb6efdf5e77f11274eee7a15372f87b
      size: 395
    outs:
    - path: processed_dataset/apple_quality.csv
      hash: md5
      md5: 80fb7e4ee6cc0fb597b69ab0c97fc895
      size: 561497
  train:
    cmd: python src/train.py
    deps:
    - path: processed_dataset/apple_quality.csv
      hash: md5
      md5: 80fb7e4ee6cc0fb597b69ab0c97fc895
      size: 561497
    - path: src/metrics_and_plots.py
      hash: md5
      md5: 4452b65748ab51bb18d7e685cfbf1592
      size: 1274
    - path: src/train.py
      hash: md5
      md5: dade9c5a8625aff584613defa3068690
      size: 2360
    - path: src/utils.py
      hash: md5
      md5: 5bb6efdf5e77f11274eee7a15372f87b
      size: 395
    params:
      params.yaml:
        random_state: 42
        train.max_depth: 7
        train.n_estimators: 5
    outs:
    - path: metrics/metrics.json
      hash: md5
      md5: 3d61499bfb8d49d64aa5f04c3d930593
      size: 83
    - path: metrics/predictions.csv
      hash: md5
      md5: ee8561b8bf6c3c7c7d4edc427c481a75
      size: 8027
    - path: metrics/roc_curve.csv
      hash: md5
      md5: b2bfc7b1c554d79ed86006ea8e41b72a
      size: 1266
    - path: models/model.pkl
      hash: md5
      md5: 5b8cc4df714bdb4bb85aa03994729986
      size: 18629
    - path: plots/confusion_matrix.png
      hash: md5
      md5: d075b36d17e5ad7d9606a6f8a35a3bf4
      size: 15249
  tunning:
    cmd: python src/tuning.py
    deps:
    - path: config/hp_config.json
      hash: md5
      md5: d98249503a9bb224ccd942a0b6d0c6bf
      size: 118
    - path: processed_dataset/apple_quality.csv
      hash: md5
      md5: 80fb7e4ee6cc0fb597b69ab0c97fc895
      size: 561497
    - path: src/metrics_and_plots.py
      hash: md5
      md5: 4452b65748ab51bb18d7e685cfbf1592
      size: 1274
    - path: src/train.py
      hash: md5
      md5: dade9c5a8625aff584613defa3068690
      size: 2360
    - path: src/utils.py
      hash: md5
      md5: 5bb6efdf5e77f11274eee7a15372f87b
      size: 395
    params:
      params.yaml:
        cv: 5
        random_state: 42
    outs:
    - path: hp_tuning_results.md
      hash: md5
      md5: 2e29e66f5b2845a2ad9cf111b5197cce
      size: 25211