volf52
/
dagshub-mnist


  
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            schema: '2.0'
stages:
  featurization:
    cmd: python dagshub_mnist/featurization.py
    deps:
    - path: dagshub_mnist/featurization.py
      md5: f12d804d8d1844c1893cdcb1a59db850
      size: 1084
    - path: data/test_data.csv
      md5: c807df8d6d804ab2647fc15c3d40f543
      size: 18289443
    - path: data/train_data.csv
      md5: 5b49cf1b57fb9d6102b559d59d99df7c
      size: 109575994
    outs:
    - path: ./data/norm_params.json
      md5: e46984ac8b7097bfddfe5d9210f78ca4
      size: 54
      isexec: true
    - path: ./data/processed_test_data.npy
      md5: a5257a91e73920bdd4cafd0f88105b74
      size: 62800128
      isexec: true
    - path: ./data/processed_train_data.npy
      md5: 9ee0468925c998fda26d197a14d1caec
      size: 376800128
      isexec: true
  training:
    cmd: python dagshub_mnist/train_model.py
    deps:
    - path: dagshub_mnist/train_model.py
      md5: 67226c971e5ead24817a354ed4628cf8
      size: 2364
    - path: data/processed_train_data.npy
      md5: 9ee0468925c998fda26d197a14d1caec
      size: 376800128
    outs:
    - path: artifacts/model.pkl
      md5: c69223fb421fe5663609b673683dfb7d
      size: 1727815
      isexec: true
    - path: metrics/train_metric.json
      md5: 6bbfca191586cd58e4405d63d2d25b75
      size: 34
  eval:
    cmd: python dagshub_mnist/eval.py
    deps:
    - path: artifacts/model.pkl
      md5: c69223fb421fe5663609b673683dfb7d
      size: 1727815
    - path: dagshub_mnist/eval.py
      md5: e9498663bef7035c3cc308a7eff6d6d9
      size: 911
    - path: data/processed_test_data.npy
      md5: a5257a91e73920bdd4cafd0f88105b74
      size: 62800128
    outs:
    - path: metrics/eval.json
      md5: 186dbb7d4d9a00aba12094875bea62a7
      size: 15