psara
/
O2020


  
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            make_dataset:
  cmd: python ./make_dataset.py
  deps:
  - path: configs/dir.yaml
    md5: a35bd290d49cfb4b3797a035930ad659
  - path: configs/parameters.yaml
    md5: 9604730132caf9d4244f639ae9ee4378
  outs:
  - path: ids_dict.json
    md5: 86f738be1c7d03abb41fd3fab58021dd
  - path: test.csv
    md5: a9d81e9c5ce5e3d2cd852586f8fad5e7
  - path: train.csv
    md5: 2bf1beec5a3589d4de7c57b9f2e52e64
  - path: val.csv
    md5: d81ade2a3f5d1d99fd39801f88a86c7c
train_model:
  cmd: python ./train_model.py
  deps:
  - path: configs/dir.yaml
    md5: a457b14b93e2720ba3352916eb6e85d6
  - path: configs/parameters.yaml
    md5: c0cc2bc5decae12d1ba0b5b6ff631b6d
  - path: ids_dict.json
    md5: cd6dd8a5f17c778a10e2fefa2baeb2d4
  outs:
  - path: best_model.pth
    md5: 5f5b97f94b35350df4f667bbb2e79371
  - path: checkpoint_model.pth
    md5: 5f5b97f94b35350df4f667bbb2e79371
  - path: final_model.pth
    md5: 5f5b97f94b35350df4f667bbb2e79371
  - path: train_metrics.csv
    md5: 37f63c30f754285c2a9ea1140eb51992
predict_model:
  cmd: python ./predict_model.py
  deps:
  - path: configs/dir.yaml
    md5: a457b14b93e2720ba3352916eb6e85d6
  - path: configs/parameters.yaml
    md5: c0cc2bc5decae12d1ba0b5b6ff631b6d
  - path: ids_dict.json
    md5: cd6dd8a5f17c778a10e2fefa2baeb2d4
  outs:
  - path: test_metrics.json
    md5: 35827159ffdc544522ff0453eedef19e