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dvc.lock 1.5 KB

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  1. schema: '2.0'
  2. stages:
  3. prepare_data:
  4. cmd: python src/prepare_data.py
  5. outs:
  6. - path: ecg_data/X_test.pickle
  7. md5: 6fed1ab6794fa967ac534084054b8a75
  8. size: 1120162
  9. - path: ecg_data/X_train.pickle
  10. md5: 25145830cf2f4c387a9465ac2a718299
  11. size: 4477922
  12. - path: ecg_data/ecg5000.csv
  13. md5: 69f4c0954231959f7bca2a50becebb77
  14. size: 8584008
  15. - path: ecg_data/y_test.pickle
  16. md5: f02515229d9807882c89dbbfb71495bb
  17. size: 8151
  18. - path: ecg_data/y_train.pickle
  19. md5: f18f05301b5f7bfb96824a61cbf629ae
  20. size: 32135
  21. anomaly_detection:
  22. cmd: python src/train.py
  23. deps:
  24. - path: ecg_data/X_test.pickle
  25. md5: 6fed1ab6794fa967ac534084054b8a75
  26. size: 1120162
  27. - path: ecg_data/X_train.pickle
  28. md5: 25145830cf2f4c387a9465ac2a718299
  29. size: 4477922
  30. - path: ecg_data/y_test.pickle
  31. md5: f02515229d9807882c89dbbfb71495bb
  32. size: 8151
  33. - path: ecg_data/y_train.pickle
  34. md5: f18f05301b5f7bfb96824a61cbf629ae
  35. size: 32135
  36. - path: src/detect_anomalies.py
  37. md5: 0161203b665fb205bc2688f25b9ebd43
  38. size: 2000
  39. - path: src/parameters.yaml
  40. md5: 8ef3cd98c94a88ca65849da26d841071
  41. size: 304
  42. - path: src/train.py
  43. md5: 3de88261c206cdd8bb5ef3c57b2c14d1
  44. size: 3296
  45. outs:
  46. - path: Autoencoder/saved_model.pb
  47. md5: b1da7cd8fff114c50e0ef66890ece7e9
  48. size: 145775
  49. - path: metrics.csv
  50. md5: 92503d72b93c50392d739fb85c571245
  51. size: 166
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