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Merged
merged 3 commits into from
Sep 11, 2020
Merged

Created v1.5.2 relase notes #5373

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c1560db
Created v1.5.2 relase notes
harishsk Aug 30, 2020
75bd970
Updated notes from review comments
harishsk Aug 31, 2020
ec64087
Updated release notes
harishsk Sep 11, 2020
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23 changes: 17 additions & 6 deletions docs/release-notes/1.5.1/release-1.5.1.md → docs/release-notes/1.5.2/release-1.5.2.md
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# [ML.NET](http://dot.net/ml) 1.5.1
# [ML.NET](http://dot.net/ml) 1.5.2

## **New Features**
- **New API and algorithms for time series data**. In this release ML.NET introduces new capabilities for working with time series data.
- **New API and algorithms for time series data**. In this release ML.NET introduces new capabilities for working with time series data.
- Detecting seasonality in time series ([#5231](https://github.com/dotnet/machinelearning/pull/5231))
- Removing seasonality from time series prior to anomaly detection ([#5202](https://github.com/dotnet/machinelearning/pull/5202))
- Threshold for root cause analysis ([#5218](https://github.com/dotnet/machinelearning/pull/5218))
Expand All @@ -22,11 +22,11 @@
- ReplaceMissingValues now supports `Mode` as a replacement method. ([#5205](https://github.com/dotnet/machinelearning/pull/5205))
- Added in standard conversions to convert types to string ([#5106](https://github.com/dotnet/machinelearning/pull/5106))
- Output topic summary to model file for LDATransformer ([#5260](https://github.com/dotnet/machinelearning/pull/5260))
- Use Channel Instead of BufferBlock ([#5123](https://github.com/dotnet/machinelearning/pull/5123)). (Thanks **@jwood803**)
- Use Channel Instead of BufferBlock ([#5123](https://github.com/dotnet/machinelearning/pull/5123), [#5313](https://github.com/dotnet/machinelearning/pull/5313)). (Thanks [**@jwood803**](https://github.com/jwood803))
- Support specifying command timeout while using the database loader ([#5288](https://github.com/dotnet/machinelearning/pull/5288))
- Added cross entropy support to validation training, edited metric reporting ([#5255](https://github.com/dotnet/machinelearning/pull/5255))
- Allow TextLoader to load empty float/double fields as NaN instead of 0 ([#5198](https://github.com/dotnet/machinelearning/pull/5198))


## **Bug Fixes**
- Changed default value of RowGroupColumnName from null to GroupId ([#5290](https://github.com/dotnet/machinelearning/pull/5290))
Expand All @@ -48,6 +48,19 @@
- 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](https://github.com/dotnet/machinelearning/issues/4392). Added 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](https://github.com/dotnet/machinelearning/issues/5350), check file lock before reload model ([#5351](https://github.com/dotnet/machinelearning/pull/5351))
- Improve handling of infinity values in AutoML.NET when calculating average CV metrics ([#5345](https://github.com/dotnet/machinelearning/pull/5345))
- 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](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))
- Added catch in R^2 calculation for case with few samples ([#5319](https://github.com/dotnet/machinelearning/pull/5319))
- Added support for RankingMetrics with CrossValSummaryRunner ([#5386](https://github.com/dotnet/machinelearning/pull/5386))


## **Test updates**
- Refactor of OnnxConversionTests.cs ([#5185](https://github.com/dotnet/machinelearning/pull/5185))
Expand All @@ -61,5 +74,3 @@

## **Breaking Changes**
- None