github dotnet/machinelearning v1.5.5
ML.NET 1.5.5

latest releases: v2.0.1-Preview, v1.7.1, v1.7.0...
3 years ago

New Features

  • New API allowing confidence parameter to be a double.(#5623)
    . A new API has been added to accept double type for the confidence level. This helps when you need to have higher precision than an int will allow for. (Thank you @esso23)
  • Support to export ValueMapping estimator to ONNX was added (#5577)
  • New API to treat TensorFlow output as batched/not-batched (#5634) A new API has been added so you can specify if the output from TensorFlow is batched or not.

Enhancements

  • Make ColumnInference serializable (#5611)

Bug Fixes

  • AutoML.NET specific fixes.
    • Fixed an AutoML aggregate timeout exception (#5631)
    • Offer suggestions for possibly mistyped label column names in AutoML (#5624) (Thank you @Crabzmatic)
  • Update some ToString conversions (#5627) (Thanks @4201104140)
  • Fixed an issue in SRCnnEntireAnomalyDetector (#5579)
  • Fixed nuget.config multi-feed issue (#5614)
  • Remove references to Microsoft.ML.Scoring (#5602)
  • Fixed Averaged Perceptron default value (#5586)

Build / Test updates

  • Fixing official build by adding homebrew bug workaround (#5596)
  • Nuget.config url fix for roslyn compilers (#5584)
  • Add SymSgdNative reference to AutoML.Tests.csproj (#5559)

Documentation Updates

  • Updated documentation for the correct version of CUDA for TensorFlow. (#5635)
  • Updates documentation for an issue with brew and installing libomp. (#5635)
  • Updated an ONNX url to the correct url. (#5635)
  • Added a note in the documentation that the PredictionEngine is not thread safe. (#5583)

Breaking Changes

  • None

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