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@scottyak The current heads of #9 and #12 are both mergeable, all current checks are green, and there are no unresolved review threads. #9 preserves zero-valued model metrics and #12 preserves example weights in single-feature classification losses. I am grouping the request here to avoid two separate pings. Could you review them or redirect either one if needed? |
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Any feedback on the zero-valued metric preservation? Please let me know if there is anything to adjust. |
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write_model_metrics filters values by truthiness, dropping valid zero scores and errors. A zero update can also leave a previous nonzero value in the in-memory store.
Filter only None. Add classification/regression coverage across train, validation and test prefixes, plus a zero-overwrite regression.
Validation: all 11 metrics tests pass; seven new cases fail on unchanged upstream. A TensorBoard write/read check preserves zero metrics and omits missing values. Syntax and git diff --check pass.