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WayScience
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Add auto loss logging
- #27
#27
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wli51
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Apr 30, 2026
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Add auto loss logging
#27
wli51
merged 12 commits into
WayScience:main
WayScience/virtual_stain_flow:main
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wli51:dev-auto-loss-log
wli51/virtual_stain_flow:dev-auto-loss-log
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Commits on Apr 25, 2026
Refactored current loss group by adding 1) a currently unused but potentially useful optional parameter, epoch, that would help future addition of loss weight scheudling functionality; and 2) addin…
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Refactored current realizations of logging trainers to 1) pass self.epoch as parameter to modified loss group (currently not used for anything) that will be useful for the future; and 2) add loss g…
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Add auto loss group logging functionality to MlflowLogger
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Refactor test fixture by moving fixtures only under the trainer scope to global fixture, and modified in test_abstract_trainer tests to use fixtures as opposed to rely on helper class import. This …
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Add tests for automatic loss-group config logging in MlflowLogger
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Commits on Apr 30, 2026
Add Progress class abstraction for more versatile weight scheduling
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Refactored loss item and group and trainer to use and update the newly added `Progress` object in place of a epoch number.
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Update logging method documentation for clarity
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Add docstrings to test methods for clarity on logging behavior
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Remove older tests for MlflowLogger focusing only on loss logging behavior against one one type of model across two trainers. Replace with newly added tests files separate for UNet, ConvNeXtUNet, a…
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Add model class path logging as tag and tests as it is a minimal but potentially useful enhancement fitting the theme of this PR
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Update version to 0.4.5 in pyproject.toml and document MLflow auto logging enhancements in CHANGELOG.md
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