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Implement sweep settings as dataclasses, refactor training settings with distinct sections #138

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Nov 24, 2021

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@jfomhover jfomhover commented Oct 29, 2021

The goal of this PR was initially to implement missing Sweep settings. But it appeared pretty soon that the way we were handling training parameters was too complex. This PR introduces sections in the training configuration file that makes the training pipeline code a little easier to browse.

Also, it solves some issues that had remained open for some time:

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github-actions bot commented Oct 29, 2021

Unit Test Results for Build

  1 files  ±0    1 suites  ±0   6s ⏱️ ±0s
73 tests ±0  73 ✔️ ±0  0 💤 ±0  0 ±0 

Results for commit ffdf4c4. ± Comparison against base commit 7a21205.

♻️ This comment has been updated with latest results.

@jfomhover jfomhover temporarily deployed to mlops November 22, 2021 18:14 Inactive
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@jfomhover jfomhover linked an issue Nov 23, 2021 that may be closed by this pull request
@jfomhover jfomhover temporarily deployed to mlops November 23, 2021 01:32 Inactive
@jfomhover jfomhover marked this pull request as ready for review November 23, 2021 02:19
@jfomhover jfomhover added this to the Standardization milestone milestone Nov 23, 2021
@jfomhover jfomhover temporarily deployed to mlops November 23, 2021 05:25 Inactive
@jfomhover jfomhover temporarily deployed to mlops November 23, 2021 05:37 Inactive
@jfomhover jfomhover changed the title define sweep settings as dataclasses, with helper function Implement sweep settings as dataclasses, refactor training settings with distinct sections Nov 23, 2021
@jfomhover jfomhover temporarily deployed to mlops November 23, 2021 05:47 Inactive
@jfomhover jfomhover temporarily deployed to mlops November 23, 2021 05:52 Inactive
@jfomhover jfomhover temporarily deployed to mlops November 23, 2021 05:59 Inactive
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