dvc.lock

schema: '2.0'
stages:
  training:
    cmd: python src/Heart/pipeline/Training_pipeline.py
    deps:
    - path: src/Heart/components/Data_ingestion.py
      hash: md5
      md5: 0f5f7c77b32823f3b30442e46d10d661
      size: 1874
    - path: src/Heart/components/Data_transformation.py
      hash: md5
      md5: 7770bf6b09d3c8bc185054bd5573882a
      size: 3443
    - path: src/Heart/components/Model_evaluation.py
      hash: md5
      md5: b767621ecc4ea53fecb62c099c3924ee
      size: 2255
    - path: src/Heart/components/Model_trainer.py
      hash: md5
      md5: edff8e10000910e32a722b08f61405e3
      size: 3320
    - path: src/Heart/pipeline/training_pipeline.py
      hash: md5
      md5: e8343d59fbd58d654a57648e1b274b9f
      size: 807
    outs:
    - path: Artifacts/Model.pkl
      hash: md5
      md5: 3d5b6c4ca5ae24a7cc48f6c72df7540b
      size: 66047
    - path: Artifacts/Preprocessor.pkl
      hash: md5
      md5: 4711a5e1776f0c533747a6b611143de6
      size: 2134
    - path: Artifacts/raw_data.csv
      hash: md5
      md5: a475aa906655f6f83fadbd9a421873ae
      size: 38996
    - path: Artifacts/test_data.csv
      hash: md5
      md5: 53b552bd583322f5a85aacc61909c5de
      size: 7863
    - path: Artifacts/train_data.csv
      hash: md5
      md5: 5da2d6b58bc9fd0f1c9e089608c4ac26
      size: 31214