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AiswaryaSrinivas
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Mayo_Stroke_Blood_Clot_Origin

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  1. schema: '2.0'
    2. 

  2. stages:
    3. 

  3.   train:
    4. 

  4.     cmd: python src/models/train_model.py
    5. 

  5.     deps:
    6. 

  6.     - path: data/processed
    7. 

  7.       md5: d751713988987e9331980363e24189ce.dir
    8. 

  8.     - path: src/models/train_model.py
    9. 

  9.       md5: d41d8cd98f00b204e9800998ecf8427e
    10. 

  10.     outs:
    11. 

  11.     - path: models
    12. 

  12.       md5: d751713988987e9331980363e24189ce.dir
    13. 

  13.     - path: reports/training_metrics.txt
    14. 

  14.       md5: d41d8cd98f00b204e9800998ecf8427e
    15. 

  15.   eval:
    16. 

  16.     cmd: python src/models/predict_model.py
    17. 

  17.     deps:
    18. 

  18.     - path: data/processed
    19. 

  19.       md5: d751713988987e9331980363e24189ce.dir
    20. 

  20.     - path: models
    21. 

  21.       md5: d751713988987e9331980363e24189ce.dir
    22. 

  22.     - path: src/models/predict_model.py
    23. 

  23.       md5: d41d8cd98f00b204e9800998ecf8427e
    24. 

  24.     outs:
    25. 

  25.     - path: reports/metrics.txt
    26. 

  26.       md5: d41d8cd98f00b204e9800998ecf8427e
    27. 

  27.   process_data:
    28. 

  28.     cmd: python src/data/make_dataset.py
    29. 

  29.     deps:
    30. 

  30.     - path: data/raw
    31. 

  31.       md5: 84fe85213df898e3f069cd685052b8bb.dir
    32. 

  32.       size: 3484968309
    33. 

  33.       nfiles: 763
    34. 

  34.     - path: src/data/make_dataset.py
    35. 

  35.       md5: d41d8cd98f00b204e9800998ecf8427e
    36. 

  36.       size: 0
    37. 

  37.     outs:
    38. 

  38.     - path: data/processed
    39. 

  39.       md5: d751713988987e9331980363e24189ce.dir
    40. 

  40.       size: 0
    41. 

  41.       nfiles: 0
    42.
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