dvc.lock

schema: '2.0'
stages:
  prepare:
    cmd: python3 mlops/src/prepare.py
    deps:
    - path: mlops/src/prepare.py
      md5: 832b8926b7c460e7a81377a89ba42d76
      size: 986
    params:
      params.yaml:
        prepare.categories:
        - comp.graphics
        - rec.sport.baseball
    outs:
    - path: mlops/data/prepared
      md5: 77cdc4b415254bc15c5d109816504915.dir
      size: 3277682
      nfiles: 2
  featurize:
    cmd: python3 mlops/src/featurize.py mlops/data/prepared mlops/data/features
    deps:
    - path: mlops/data/prepared
      md5: 77cdc4b415254bc15c5d109816504915.dir
      size: 3277682
      nfiles: 2
    - path: mlops/src/featurize.py
      md5: 20fea8cdee321d4078e42451352a7222
      size: 1685
    outs:
    - path: mlops/data/features
      md5: 75bcc0588e8df579495caae792053150.dir
      size: 418297694
      nfiles: 2
  train:
    cmd: python3 mlops/src/train.py mlops/data/features model.pkl
    deps:
    - path: mlops/data/features
      md5: 75bcc0588e8df579495caae792053150.dir
      size: 418297694
      nfiles: 2
    - path: mlops/src/train.py
      md5: 4e2d26dcdf7e68de9b6c639ef4a15086
      size: 829
    params:
      params.yaml:
        train.alpha: 0.1
    outs:
    - path: model.pkl
      md5: 2c2d3bf17a37e4f06efd1246f0784361
      size: 850891
  evaluate:
    cmd: python3 mlops/src/evaluate.py model.pkl mlops/data/features scores.json plots.json
    deps:
    - path: mlops/data/features
      md5: 75bcc0588e8df579495caae792053150.dir
      size: 418297694
      nfiles: 2
    - path: mlops/src/prepare.py
      md5: 832b8926b7c460e7a81377a89ba42d76
      size: 986
    - path: model.pkl
      md5: 2c2d3bf17a37e4f06efd1246f0784361
      size: 850891
    outs:
    - path: plots.json
      md5: 5fa711793a7eca66e30dfa38023ef91a
      size: 34801
    - path: scores.json
      md5: add0286d0f09f2e0da7c5d69391ad60a
      size: 27