Dean
/
mlops-best-practices
mirror of https://github.com/karan842/mlops-best-practices.git


  
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            schema: '2.0'
stages:
  ml_pipeline:
    cmd: python src/components/data_ingestion.py
    deps:
    - path: src/components/data_transformation.py
      hash: md5
      md5: 9921bc6ed5b9668d287ef7aed6892d32
      size: 5008
    - path: src/components/model_trainer.py
      hash: md5
      md5: 7a7e4f2e94c8c6724c8e1b2e1da4f91e
      size: 4337
    - path: src/tracking/params.py
      hash: md5
      md5: 971175c1113db19a87385941420f3aea
      size: 1717
    outs:
    - path: artifacts/raw.csv
      hash: md5
      md5: ee8eb25111a586a44baba65b31d1ade8
      size: 978246
    - path: artifacts/test.csv
      hash: md5
      md5: 8ad04bc49656380163d5ec763d3b193f
      size: 293676
    - path: artifacts/train.csv
      hash: md5
      md5: dc2bae8c99454ac6539e96b7431f3563
      size: 684681