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train_ensemble.dvc 813 B

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  1. md5: e6ff7cf8e629fae5c49ecc44b8120dd4
  2. cmd: python src/ensemble.py -i data/features/ -m data/models/ -o data/models/ensemble/
  3. deps:
  4. - md5: 87cf1ab5aa611e388d9170859240aca8
  5. path: src/ensemble.py
  6. - md5: ae8b2ac6927d2d20a0f6463223bb7c18.dir
  7. path: data/features
  8. - md5: 24d7f7f28c068ce6b6e432391adeef09
  9. path: data/models/logistic/model.gz
  10. - md5: 4618ffee881cf0048cd034da822a3a0e
  11. path: data/models/svc/model.gz
  12. - md5: 0048a7b1a8216c360df7be87e2d898fe
  13. path: data/models/r_forrest/model.gz
  14. - path: params.yaml
  15. params:
  16. ensemble:
  17. voting: hard
  18. outs:
  19. - md5: 4cc5631d643f1050159707f1f7bc5ea1
  20. path: data/models/ensemble/model.gz
  21. cache: true
  22. metric: false
  23. persist: false
  24. - md5: fdbe8064f407e46f63393f1d907d59ed
  25. path: data/models/ensemble/metrics.csv
  26. cache: false
  27. metric: true
  28. persist: false
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