Microsoft.ML.DataView 3.0.1

The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org. Prefix Reserved
There is a newer prerelease version of this package available.
See the version list below for details.
dotnet add package Microsoft.ML.DataView --version 3.0.1
NuGet\Install-Package Microsoft.ML.DataView -Version 3.0.1
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.DataView" Version="3.0.1" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Microsoft.ML.DataView --version 3.0.1
#r "nuget: Microsoft.ML.DataView, 3.0.1"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install Microsoft.ML.DataView as a Cake Addin
#addin nuget:?package=Microsoft.ML.DataView&version=3.0.1

// Install Microsoft.ML.DataView as a Cake Tool
#tool nuget:?package=Microsoft.ML.DataView&version=3.0.1

Contains the IDataView system which is a set of interfaces and components that provide efficient, compositional processing of schematized data for machine learning and advanced analytics applications.

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
.NET Core netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 is compatible.  netstandard2.1 was computed. 
.NET Framework net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen40 was computed.  tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (4)

Showing the top 4 NuGet packages that depend on Microsoft.ML.DataView:

Package Downloads
Microsoft.ML The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org.

ML.NET is a cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers.

Microsoft.Data.Analysis The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org.

This package contains easy-to-use and high-performance libraries for data analysis and transformation.

FenixAlliance.ACL.Dependencies

Application Component for the Alliance Business Suite.

DataView.InteractiveExtension

Enable support for IDataView in Polyglot Notebooks

GitHub repositories (4)

Showing the top 4 popular GitHub repositories that depend on Microsoft.ML.DataView:

Repository Stars
dotnet/samples
Sample code referenced by the .NET documentation
dotnet/corefxlab
This repo is for experimentation and exploring new ideas that may or may not make it into the main corefx repo.
microsoft/CryptoNets
CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with Homomorphic Encryption. Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Therefore, it allows keeping data private while outsourcing computation (see here and here for more about Homomorphic E
fabsenet/adrilight
An Ambilight clone for Windows based sources - HTPC or just a normal PC
Version Downloads Last updated
4.0.0-preview.24162.2 1,835 3/13/2024
3.0.1 169,866 1/18/2024
3.0.0 287,149 11/27/2023
3.0.0-preview.23511.1 4,995 10/13/2023
3.0.0-preview.23266.6 43,940 5/17/2023
3.0.0-preview.22621.2 11,635 12/22/2022
2.0.1 1,661,691 2/1/2023
2.0.1-preview.22573.9 3,267 11/24/2022
2.0.0 228,066 11/8/2022
2.0.0-preview.22551.1 953 11/1/2022
2.0.0-preview.22313.1 15,618 6/14/2022
2.0.0-preview.22310.1 343 6/11/2022
1.7.1 1,276,860 3/9/2022
1.7.0 508,386 11/9/2021
1.7.0-preview.final 1,286 10/22/2021
1.6.0 862,115 7/15/2021
1.5.5 440,305 3/4/2021
1.5.4 121,888 12/17/2020
1.5.2 359,566 9/11/2020
1.5.1 90,732 7/11/2020
1.5.0 153,451 5/26/2020
1.5.0-preview2 61,742 3/12/2020
1.5.0-preview 71,923 12/26/2019
1.4.0 516,746 11/5/2019
1.4.0-preview2 29,971 10/8/2019
1.4.0-preview 68,615 8/30/2019
1.3.1 202,103 8/6/2019
1.2.0 79,472 7/3/2019
1.1.0 40,074 6/4/2019
1.0.0 789,116 5/2/2019
1.0.0-preview 22,339 4/2/2019