schema: '2.0'
stages:
  train:
    cmd: python -m src.models.train_model
    deps:
    - path: data/processed
      md5: d751713988987e9331980363e24189ce.dir
      size: 0
      nfiles: 0
    - path: src/models/train_model.py
      md5: d41d8cd98f00b204e9800998ecf8427e
      size: 0
    outs:
    - path: models
      md5: d751713988987e9331980363e24189ce.dir
      size: 0
      nfiles: 0
    - path: reports/training_metrics.csv
      md5: d41d8cd98f00b204e9800998ecf8427e
      size: 0
  eval:
    cmd: python -m src.models.predict_model
    deps:
    - path: data/processed
      md5: d751713988987e9331980363e24189ce.dir
      size: 0
      nfiles: 0
    - path: models
      md5: d751713988987e9331980363e24189ce.dir
      size: 0
      nfiles: 0
    - path: src/models/predict_model.py
      md5: d41d8cd98f00b204e9800998ecf8427e
      size: 0
    outs:
    - path: reports/metrics.csv
      md5: d41d8cd98f00b204e9800998ecf8427e
      size: 0
  process_data:
    cmd: python -m src.data.make_dataset
    deps:
    - path: data/raw
      md5: d751713988987e9331980363e24189ce.dir
      size: 0
      nfiles: 0
    - path: src/data/make_dataset.py
      md5: d41d8cd98f00b204e9800998ecf8427e
      size: 0
    outs:
    - path: data/processed
      md5: d751713988987e9331980363e24189ce.dir
      size: 0
      nfiles: 0