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Release notes 1.6.0 (dotnet#5876)
* release notes and version * Final Changes * unstable version bump * Update docs/release-notes/1.6.0/release-1.6.0.md Co-authored-by: Eric StJohn <[email protected]> * Update docs/release-notes/1.6.0/release-1.6.0.md Co-authored-by: Eric StJohn <[email protected]> * Update docs/release-notes/1.6.0/release-1.6.0.md Co-authored-by: Eric StJohn <[email protected]> * Update docs/release-notes/1.6.0/release-1.6.0.md Co-authored-by: Eric StJohn <[email protected]> * Update docs/release-notes/1.6.0/release-1.6.0.md Co-authored-by: Eric StJohn <[email protected]> * Update docs/release-notes/1.6.0/release-1.6.0.md Co-authored-by: Eric StJohn <[email protected]> Co-authored-by: Eric StJohn <[email protected]>
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‎docs/release-notes/1.6.0/release-1.6.0.md

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# [ML.NET](http://dot.net/ml) 1.6.0
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## **New Features**
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- **Support for Arm/Arm64/Apple Silicon has been added**. ([#5789](https://github.com/dotnet/machinelearning/pull/5789)) You can now use most ML.NET on Arm/Arm64/Apple Silicon devices. Anything without a hard dependency on x86 SIMD instructions or Intel MKL are supported.
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- **Support for specifying a temp path ML.NET will use**. ([#5782](https://github.com/dotnet/machinelearning/pull/5782)) You can now set the TempFilePath in the MLContext that it will use.
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- **Support for specifying the recursion limit to use when loading an ONNX model** ([#5840](https://github.com/dotnet/machinelearning/pull/5840)) The recursion limit defaults to 100, but you can now specify the value in case you need to use a larger number. (**Thanks @Crabzmatic**)
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- **Support for saving Tensorflow models in the SavedModel format added** ([#5797](https://github.com/dotnet/machinelearning/pull/5797)) You can now save models that use the Tensorflow SavedModel format instead of just the frozen graph format. (**Thanks @darth-vader-lg**)
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- **DataFrame Specific enhancements**
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- **Extended DataFrame GroupBy operation** ([#5821](https://github.com/dotnet/machinelearning/pull/5821)) Extend DataFrame GroupBy operation by adding new property Groupings. This property returns collection of IGrouping objects (the same way as LINQ GroupBy operation does) (**Thanks @asmirnov82**)
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## **Enhancements**
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- Switched from using a fork of SharpZipLib to using the official package ([#5735](https://github.com/dotnet/machinelearning/pull/5735))
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- Let user specify a temp path location ([#5782](https://github.com/dotnet/machinelearning/pull/5782))
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- Clean up ONNX temp models by opening with a "Delete on close" flag ([#5782](https://github.com/dotnet/machinelearning/pull/5782))
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- Ensures the named model is loaded in a PredictionEnginePool before use ([#5833](https://github.com/dotnet/machinelearning/pull/5833)) (**Thanks @feiyun0112**)
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- Use indentation for 'if' ([#5825](https://github.com/dotnet/machinelearning/pull/5825)) (**Thanks @feiyun0112**)
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- Use Append instead of AppendFormat if we don't need formatting ([#5826](https://github.com/dotnet/machinelearning/pull/5826)) (**Thanks @feiyun0112**)
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- Cast by using is operator ([#5829](https://github.com/dotnet/machinelearning/pull/5829)) (**Thanks @feiyun0112**)
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- Removed unnecessary return statements ([#5828](https://github.com/dotnet/machinelearning/pull/5828)) (**Thanks @feiyun0112**)
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- Removed code that could never be executed ([#5808](https://github.com/dotnet/machinelearning/pull/5808)) (**Thanks @feiyun0112**)
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- Remove some empty statements ([#5827](https://github.com/dotnet/machinelearning/pull/5827)) (**Thanks @feiyun0112**)
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- Added in short-circuit logic for conditionals ([#5824](https://github.com/dotnet/machinelearning/pull/5824)) (**Thanks @feiyun0112**)
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- Update LightGBM to v2.3.1 ([#5851](https://github.com/dotnet/machinelearning/pull/5851))
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- Raised the default recursion limit for ONNX models from 10 to 100. ([#5796](https://github.com/dotnet/machinelearning/pull/5796)) (**Thanks @darth-vader-lg**)
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- Speed up the inference of the Tensorflow saved_models. ([#5848](https://github.com/dotnet/machinelearning/pull/5848)) (**Thanks @darth-vader-lg**)
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- Speed-up bitmap operations on images. ([#5857](https://github.com/dotnet/machinelearning/pull/5857)) (**Thanks @darth-vader-lg**)
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- Updated to latest version of Intel MKL. ([#5867](https://github.com/dotnet/machinelearning/pull/5867))
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- **AutoML.NET specific enhancements**
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- Offer suggestions for possibly mistyped label column names in AutoML ([#5624](https://github.com/dotnet/machinelearning/pull/5624)) (**Thanks @Crabzmatic**)
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- **DataFrame Specific enhancements**
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- Improve csv parsing ([#5711](https://github.com/dotnet/machinelearning/pull/5711))
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- IDataView to DataFrame ([#5712](https://github.com/dotnet/machinelearning/pull/5712))
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- Update to the latest Microsoft.DotNet.Interactive ([#5710](https://github.com/dotnet/machinelearning/pull/5710))
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- Move DataFrame to machinelearning repo ([#5641](https://github.com/dotnet/machinelearning/pull/5641))
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- Improvements to the sort routine ([#5776](https://github.com/dotnet/machinelearning/pull/5776))
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- Improvements to the Merge routine ([#5778](https://github.com/dotnet/machinelearning/pull/5778))
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- Improve DataFrame exception text ([#5819](https://github.com/dotnet/machinelearning/pull/5819)) (**Thanks @asmirnov82**)
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- DataFrame csv DateTime enhancements ([#5834](https://github.com/dotnet/machinelearning/pull/5834))
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## **Bug Fixes**
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- Fix erroneous use of TaskContinuationOptions in ThreadUtils.cs ([#5753](https://github.com/dotnet/machinelearning/pull/5753))
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- Fix a few locations that can try to access a null object ([#5804](https://github.com/dotnet/machinelearning/pull/5804)) (**Thanks @feiyun0112**)
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- Use return value of method ([#5818](https://github.com/dotnet/machinelearning/pull/5818)) (**Thanks @feiyun0112**)
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- Adding throw to some exceptions that weren't throwing them originally ([#5823](https://github.com/dotnet/machinelearning/pull/5823)) (**Thanks @feiyun0112**)
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- Fixed a situation in the CountTargetEncodingTransformer where it never reached the stop condition ([#5822](https://github.com/dotnet/machinelearning/pull/5822)) (**Thanks @feiyun0112**)
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- **DataFrame Specific bug fixes**
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- Fix issue with DataFrame Merge method ([#5768](https://github.com/dotnet/machinelearning/pull/5768)) (**Thanks @asmirnov82**)
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## **Build / Test updates**
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- Changed default branch from master to main ([#5715](https://github.com/dotnet/machinelearning/pull/5715)) ([#5717](https://github.com/dotnet/machinelearning/pull/5717)) ([#5719](https://github.com/dotnet/machinelearning/pull/5719))
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- Fix for libomp in the CI process for MacOS 11 ([#5771](https://github.com/dotnet/machinelearning/pull/5771))
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- Minor code cleanup. ([#5770](https://github.com/dotnet/machinelearning/pull/5770))
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- Updated arcade to the latest version ([#5783](https://github.com/dotnet/machinelearning/pull/5783))
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- Switched signing certificate to use dotnet certificate ([#5794](https://github.com/dotnet/machinelearning/pull/5794))
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- Building natively and cross targeting for Arm/Arm64/Apple Silicon is now supported. ([#5789](https://github.com/dotnet/machinelearning/pull/5789))
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- Upload classic pdb to symweb ([#5816](https://github.com/dotnet/machinelearning/pull/5816))
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- Fix MacOS CI issue ([#5854](https://github.com/dotnet/machinelearning/pull/5854))
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- Added in a Helix Integration for testing. ([#5837](https://github.com/dotnet/machinelearning/pull/5837))
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- Added in Helix Integration for arm/arm64/Apple Silicon for testing ([#5860](https://github.com/dotnet/machinelearning/pull/5860))
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## **Documentation Updates**
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- Fixed markdown issues in MulticlassClassificationMetrics and CalibratedBinaryClassificationMetrics ([#5732](https://github.com/dotnet/machinelearning/pull/5732)) (**Thanks @R0Wi**)
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- Update unix instructions for x-compiling on ARM ([#5811](https://github.com/dotnet/machinelearning/pull/5811))
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- Update Contribution.MD with description of help wanted tags ([#5815](https://github.com/dotnet/machinelearning/pull/5815))
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- Add Korean translation for repo readme.md ([#5780](https://github.com/dotnet/machinelearning/pull/5780)) (**Thanks @metr0jw**)
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- Fix spelling error in MLContext class summary ([#5832](https://github.com/dotnet/machinelearning/pull/5832)) (**Thanks @Crabzmatic**)
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- Update issue templates ([#5846](https://github.com/dotnet/machinelearning/pull/5846))
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## **Breaking Changes**
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- None

‎eng/BranchInfo.props

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</PropertyGroup>
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<PropertyGroup Condition="'$(IsStableProject)' == 'true'">
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<MajorVersion>1</MajorVersion>
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<MinorVersion>5</MinorVersion>
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<PatchVersion>6</PatchVersion>
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<MinorVersion>6</MinorVersion>
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</PropertyGroup>
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<PropertyGroup Condition="'$(IsStableProject)' != 'true'">
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<MajorVersion>0</MajorVersion>
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<MinorVersion>18</MinorVersion>
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‎eng/Versions.props

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https://github.com/dotnet/arcade/blob/c788ffa83b088cafe9dbffc1cbc8155ba88b2553/Documentation/CorePackages/Versioning.md#output
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-->
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<DotNetUseShippingVersions>true</DotNetUseShippingVersions>
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<VersionPrefix>1.5.6</VersionPrefix>
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<VersionPrefix>1.6.0</VersionPrefix>
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<PreReleaseVersionLabel>preview</PreReleaseVersionLabel>
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<AssemblyVersion>1.0.0.0</AssemblyVersion>
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<!--ML.NET Core dependencies-->

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