Update dependency Microsoft.ML to v1.6.0

[renovate]

This PR contains the following updates:

Package	Type	Update	Change
Microsoft.ML (source)	nuget	minor	1.5.5 -> 1.6.0

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Release Notes

dotnet/machinelearning

v1.6.0

ML.NET 1.6.0

New Features

• Support for Arm/Arm64/Apple Silicon has been added. (#​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.
• Support for specifying a temp path ML.NET will use. (#​5782) You can now set the TempFilePath in the MLContext that it will use.
• Support for specifying the recursion limit to use when loading an ONNX model (#​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)
• Support for saving Tensorflow models in the SavedModel format added (#​5797) You can now save models that use the Tensorflow SavedModel format instead of just the frozen graph format. (Thanks @​darth-vader-lg)
• DataFrame Specific enhancements
• Extended DataFrame GroupBy operation (#​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)

Enhancements

• Switched from using a fork of SharpZipLib to using the official package (#​5735)
• Let user specify a temp path location (#​5782)
• Clean up ONNX temp models by opening with a "Delete on close" flag (#​5782)
• Ensures the named model is loaded in a PredictionEnginePool before use (#​5833) (Thanks @​feiyun0112)
• Use indentation for 'if' (#​5825) (Thanks @​feiyun0112)
• Use Append instead of AppendFormat if we don't need formatting (#​5826) (Thanks @​feiyun0112)
• Cast by using is operator (#​5829) (Thanks @​feiyun0112)
• Removed unnecessary return statements (#​5828) (Thanks @​feiyun0112)
• Removed code that could never be executed (#​5808) (Thanks @​feiyun0112)
• Remove some empty statements (#​5827) (Thanks @​feiyun0112)
• Added in short-circuit logic for conditionals (#​5824) (Thanks @​feiyun0112)
• Update LightGBM to v2.3.1 (#​5851)
• Raised the default recursion limit for ONNX models from 10 to 100. (#​5796) (Thanks @​darth-vader-lg)
• Speed up the inference of the Tensorflow saved_models. (#​5848) (Thanks @​darth-vader-lg)
• Speed-up bitmap operations on images. (#​5857) (Thanks @​darth-vader-lg)
• Updated to latest version of Intel MKL. (#​5867)
• AutoML.NET specific enhancements
• Offer suggestions for possibly mistyped label column names in AutoML (#​5624) (Thanks @​Crabzmatic)
• DataFrame Specific enhancements
• Improve csv parsing (#​5711)
• IDataView to DataFrame (#​5712)
• Update to the latest Microsoft.DotNet.Interactive (#​5710)
• Move DataFrame to machinelearning repo (#​5641)
• Improvements to the sort routine (#​5776)
• Improvements to the Merge routine (#​5778)
• Improve DataFrame exception text (#​5819) (Thanks @​asmirnov82)
• DataFrame csv DateTime enhancements (#​5834)

Bug Fixes

• Fix erroneous use of TaskContinuationOptions in ThreadUtils.cs (#​5753)
• Fix a few locations that can try to access a null object (#​5804) (Thanks @​feiyun0112)
• Use return value of method (#​5818) (Thanks @​feiyun0112)
• Adding throw to some exceptions that weren't throwing them originally (#​5823) (Thanks @​feiyun0112)
• Fixed a situation in the CountTargetEncodingTransformer where it never reached the stop condition (#​5822) (Thanks @​feiyun0112)
• DataFrame Specific bug fixes
• Fix issue with DataFrame Merge method (#​5768) (Thanks @​asmirnov82)

Build / Test updates

• Changed default branch from master to main (#​5715) (#​5717) (#​5719)
• Fix for libomp in the CI process for MacOS 11 (#​5771)
• Minor code cleanup. (#​5770)
• Updated arcade to the latest version (#​5783)
• Switched signing certificate to use dotnet certificate (#​5794)
• Building natively and cross targeting for Arm/Arm64/Apple Silicon is now supported. (#​5789)
• Upload classic pdb to symweb (#​5816)
• Fix MacOS CI issue (#​5854)
• Added in a Helix Integration for testing. (#​5837)
• Added in Helix Integration for arm/arm64/Apple Silicon for testing (#​5860)

Documentation Updates

• Fixed markdown issues in MulticlassClassificationMetrics and CalibratedBinaryClassificationMetrics (#​5732) (Thanks @​R0Wi)
• Update unix instructions for x-compiling on ARM (#​5811)
• Update Contribution.MD with description of help wanted tags (#​5815)
• Add Korean translation for repo readme.md (#​5780) (Thanks @​metr0jw)
• Fix spelling error in MLContext class summary (#​5832) (Thanks @​Crabzmatic)
• Update issue templates (#​5846)

Breaking Changes

• None

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