Improve json serde error in evalMetFromJson #380
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Codecov Report
@@ Coverage Diff @@
## master #380 +/- ##
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+ Coverage 86.84% 86.85% +0.01%
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Files 336 336
Lines 10948 10950 +2
Branches 351 580 +229
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+ Hits 9508 9511 +3
+ Misses 1440 1439 -1
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leahmcguire
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Bug fixes: - Ensure correct metrics despite model failures on some CV folds [#404](#404) - Fix flaky `ModelInsight` tests [#395](#395) - Avoid creating `SparseVector`s for LOCO [#377](#377) New features / updates: - Model combiner [#385](#399) - Added new sample for HousingPrices [#365](#365) - Test to verify that custom metrics appear in model insight metrics [#387](#387) - Add `FeatureDistribution` to `SerializationFormat`s [#383](#383) - Add metadata to `OpStandadrdScaler` to allow for descaling [#378](#378) - Improve json serde error in `evalMetFromJson` [#380](#380) - Track mean & standard deviation as metrics for numeric features and for text length of text features [#354](#354) - Making model selectors robust to failing models [#372](#372) - Use compact and compressed model json by default [#375](#375) - Descale feature contribution for Linear Regression & Logistic Regression [#345](#345) Dependency updates: - Update tika version [#382](#382)
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Related issues
Fixes #379
Describe the proposed solution
Remove mkString, keep track of the exceptions
Describe alternatives you've considered
too many