Microsoft.ML.Scoring 1.2.0

The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org. Prefix Reserved
.NET Standard 1.3 
dotnet add package Microsoft.ML.Scoring --version 1.2.0
NuGet\Install-Package Microsoft.ML.Scoring -Version 1.2.0
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package. 
<PackageReference Include="Microsoft.ML.Scoring" Version="1.2.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add Microsoft.ML.Scoring --version 1.2.0
#r "nuget: Microsoft.ML.Scoring, 1.2.0"
#r directive can be used in F# Interactive, C# scripting and .NET Interactive. Copy this into the interactive tool or source code of the script to reference the package. 
// Install Microsoft.ML.Scoring as a Cake Addin
#addin nuget:?package=Microsoft.ML.Scoring&version=1.2.0

// Install Microsoft.ML.Scoring as a Cake Tool
#tool nuget:?package=Microsoft.ML.Scoring&version=1.2.0

Microsoft.ML.Scoring library is a Model Inference Library that can used for scoring DNN models saved in either ONNX or TensorFlow format.. The library is .NET Standard 1.3 compatible library, with API for both managed as well as native application development. The following versions of ONNX and TensorFlow models are supported:

ONNX:

  • ONNX Version: 1.3
  • CPU with MKLDNN acceleration
  • GPU via CUDA 9.2 Tookit + CUDNN library

TensorFlow:

  • TensorFlow Version: 1.10.0
  • CPU with MKL acceleration
    • Note: CUDA libraries must be present on system path, even for CPU execution.
  • GPU via CUDA 9.2 Tookit and CUDNN library
  • Model formats: checkpoint and saved model only. Frozen model is not supported.
    • For TensorFlow Checkpoint - all files including a checkpoint file, a meta file, and data files should be stored under the same folder. If your model contains TensorFlow lookup operations, please copy your vocabulary file to this folder as well.
    • For TensorFlow SavedModel - all files including a pb file, data files and asset files should be stored under the same folder. Please do not import SavedModel files that were previously optimized by the library -this can result in unexpected errors.

Note: This library contains third party software. For more details, refer to ThirdPartyNotices.txt in the package.

Product Versions
.NET net5.0 net5.0-windows net6.0 net6.0-android net6.0-ios net6.0-maccatalyst net6.0-macos net6.0-tvos net6.0-windows net7.0 net7.0-android net7.0-ios net7.0-maccatalyst net7.0-macos net7.0-tvos net7.0-windows
.NET Core netcoreapp1.0 netcoreapp1.1 netcoreapp2.0 netcoreapp2.1 netcoreapp2.2 netcoreapp3.0 netcoreapp3.1
.NET Standard netstandard1.3 netstandard1.4 netstandard1.5 netstandard1.6 netstandard2.0 netstandard2.1
.NET Framework net46 net461 net462 net463 net47 net471 net472 net48 net481
MonoAndroid monoandroid
MonoMac monomac
MonoTouch monotouch
native native
Tizen tizen30 tizen40 tizen60
Universal Windows Platform uap uap10.0
Xamarin.iOS xamarinios
Xamarin.Mac xamarinmac
Xamarin.TVOS xamarintvos
Xamarin.WatchOS xamarinwatchos
Compatible target framework(s)
Additional computed target framework(s)
Learn more about Target Frameworks and .NET Standard.

This package has no dependencies.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories (1)

Showing the top 1 popular GitHub repositories that depend on Microsoft.ML.Scoring:

Repository Stars
microsoft/samples-for-ai
Samples for getting started with deep learning across TensorFlow, CNTK, Theano and more.
Version Downloads Last updated
1.2.0 13,473 11/16/2018
1.1.0 25,582 9/28/2018
1.0.3 7,836 5/4/2018

New additions in the version 1.2.0 release are -- .Net standard C# module; GPU support; updated ONNX runtime, supporting ONNX models of version 1.3