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train_ensemble.dvc 750 B

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  1. md5: c29583bbcc5e158608ba6431293e8422
  2. cmd: python src/ensemble.py -i data/features/ -m data/models/ -o data/models/ensemble/
  3. deps:
  4. - md5: 1d64e1152f7f5cf6d9e7bd64bf42732a
  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: c1ab1e52ff817b938c36f0bf655f0b87
  11. path: data/models/svc/model.gz
  12. - md5: 6aee28257ba58d66723919dd994c86a2
  13. path: data/models/r_forrest/model.gz
  14. outs:
  15. - md5: f9298672fe7952354e7bc23cb91fce9b
  16. path: data/models/ensemble/model.gz
  17. cache: true
  18. metric: false
  19. persist: false
  20. - md5: 84f9553c5ddd26baae037290d523446a
  21. path: data/models/ensemble/metrics.csv
  22. cache: false
  23. metric: true
  24. persist: false
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