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Created v1.5.2 relase notes #5373
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Codecov Report
@@ Coverage Diff @@
## master #5373 +/- ##
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+ Coverage 74.02% 74.09% +0.07%
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Files 1019 1019
Lines 190355 190355
Branches 20469 20469
==========================================
+ Hits 140905 141044 +139
+ Misses 43906 43781 -125
+ Partials 5544 5530 -14
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LGTM
- RobustScalingNormalizer entrypoint added ([#5310](https://github.com/dotnet/machinelearning/pull/5310)) | ||
- Replace whitelist terminology to allow list ([#5328](https://github.com/dotnet/machinelearning/pull/5328)) (Thanks [**@LetticiaNicoli**](https://github.com/LetticiaNicoli)) | ||
- Fixes #5352 issues caused by equality with non-string values for root cause localization ([#5354](https://github.com/dotnet/machinelearning/pull/5354)) | ||
- Aded catch in R^2 calculation for case with few samples ([#5319](https://github.com/dotnet/machinelearning/pull/5319)) |
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- Aded catch in R^2 calculation for case with few samples ([#5319](https://github.com/dotnet/machinelearning/pull/5319)) | |
- Added check in R^2 calculation for the case with few samples ([#5319](https://github.com/dotnet/machinelearning/pull/5319)) |
- Updated codegen to make it work with mlnet 1.5 ([#5173](https://github.com/dotnet/machinelearning/pull/5173)) | ||
- Updated codegen to support object detection scenario. ([#5216](https://github.com/dotnet/machinelearning/pull/5216)) | ||
- Fix issue #5350, check file lock before reload model ([#5351](https://github.com/dotnet/machinelearning/pull/5351)) | ||
- AutoML.Net filter infinity value when calculate average score ([#5345](https://github.com/dotnet/machinelearning/pull/5345)) |
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- AutoML.Net filter infinity value when calculate average score ([#5345](https://github.com/dotnet/machinelearning/pull/5345)) | |
- Improve handling of infinity values in AutoML.NET when calculating average CV metrics ([#5345](https://github.com/dotnet/machinelearning/pull/5345)) |
@@ -48,6 +48,18 @@ | |||
- Fixed OnnxTransformer output column mapping. ([#5192](https://github.com/dotnet/machinelearning/pull/5192)) | |||
- Fixed version format of built packages ([#5197](https://github.com/dotnet/machinelearning/pull/5197)) | |||
- Improvements to "Invalid TValue" error message ([#5189](https://github.com/dotnet/machinelearning/pull/5189)) | |||
- Added IDisposable to OnnxTransformer and fixed memory leaks ([#5348](https://github.com/dotnet/machinelearning/pull/5348)) | |||
- Fixes #4392 Add AddPredictionEnginePool overload for implementation factory ([#4393](https://github.com/dotnet/machinelearning/pull/4393)) |
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Recommend full URLs as otherwise the auto-numeric links break in github if a repo is renamed, or if viewing within a fork.
- Fixes #4392 Add AddPredictionEnginePool overload for implementation factory ([#4393](https://github.com/dotnet/machinelearning/pull/4393)) | |
- Fixes [#4392](https://github.com/dotnet/machinelearning/issues/4392) Add AddPredictionEnginePool overload for implementation factory ([#4393](https://github.com/dotnet/machinelearning/pull/4393)) |
- Fixes #4392 Add AddPredictionEnginePool overload for implementation factory ([#4393](https://github.com/dotnet/machinelearning/pull/4393)) | ||
- Updated codegen to make it work with mlnet 1.5 ([#5173](https://github.com/dotnet/machinelearning/pull/5173)) | ||
- Updated codegen to support object detection scenario. ([#5216](https://github.com/dotnet/machinelearning/pull/5216)) | ||
- Fix issue #5350, check file lock before reload model ([#5351](https://github.com/dotnet/machinelearning/pull/5351)) |
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Recommend full URLs as otherwise the auto-numeric links break in github if a repo is renamed, or if viewing within a fork.
- Fix issue #5350, check file lock before reload model ([#5351](https://github.com/dotnet/machinelearning/pull/5351)) | |
- Fix issue [#5350](https://github.com/dotnet/machinelearning/issues/5350), check file lock before reload model ([#5351](https://github.com/dotnet/machinelearning/pull/5351)) |
- Throw when PCA generates invalid eigenvectors ([#5349](https://github.com/dotnet/machinelearning/pull/5349)) | ||
- RobustScalingNormalizer entrypoint added ([#5310](https://github.com/dotnet/machinelearning/pull/5310)) | ||
- Replace whitelist terminology to allow list ([#5328](https://github.com/dotnet/machinelearning/pull/5328)) (Thanks [**@LetticiaNicoli**](https://github.com/LetticiaNicoli)) | ||
- Fixes #5352 issues caused by equality with non-string values for root cause localization ([#5354](https://github.com/dotnet/machinelearning/pull/5354)) |
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Recommend full URLs as otherwise the auto-numeric links break in github if a repo is renamed, or if viewing within a fork.
- Fixes #5352 issues caused by equality with non-string values for root cause localization ([#5354](https://github.com/dotnet/machinelearning/pull/5354)) | |
- Fixes [#5352](https://github.com/dotnet/machinelearning/issues/5352) issues caused by equality with non-string values for root cause localization ([#5354](https://github.com/dotnet/machinelearning/pull/5354)) |
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Minor changes listed above.
- Throw when PCA generates invalid eigenvectors ([#5349](https://github.com/dotnet/machinelearning/pull/5349)) | ||
- RobustScalingNormalizer entrypoint added ([#5310](https://github.com/dotnet/machinelearning/pull/5310)) | ||
- Replace whitelist terminology to allow list ([#5328](https://github.com/dotnet/machinelearning/pull/5328)) (Thanks [**@LetticiaNicoli**](https://github.com/LetticiaNicoli)) | ||
- Fixes #5352 issues caused by equality with non-string values for root cause localization ([#5354](https://github.com/dotnet/machinelearning/pull/5354)) |
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Nit:
- Fixes #5352 issues caused by equality with non-string values for root cause localization ([#5354](https://github.com/dotnet/machinelearning/pull/5354)) | |
- Fixes issue caused by equality with non-string values for root cause localization ([#5354](https://github.com/dotnet/machinelearning/pull/5354)) |
Created v1.5.2 release notes from v1.5.1 release notes.