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ML.NET 1.6.0

docs/release-notes/1.6.0/release-1.6.0.md

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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