SharpLearning.InputOutput 0.31.8

.NET Standard 2.0 .NET Framework 4.6.1 
Install-Package SharpLearning.InputOutput -Version 0.31.8
dotnet add package SharpLearning.InputOutput --version 0.31.8
<PackageReference Include="SharpLearning.InputOutput" Version="0.31.8" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add SharpLearning.InputOutput --version 0.31.8
The NuGet Team does not provide support for this client. Please contact its maintainers for support. 
#r "nuget: SharpLearning.InputOutput, 0.31.8"
#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 SharpLearning.InputOutput as a Cake Addin
#addin nuget:?package=SharpLearning.InputOutput&version=0.31.8

// Install SharpLearning.InputOutput as a Cake Tool
#tool nuget:?package=SharpLearning.InputOutput&version=0.31.8
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

Provides CsvParser and serialization for SharpLearning.

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
.NET Core netcoreapp2.0 netcoreapp2.1 netcoreapp2.2 netcoreapp3.0 netcoreapp3.1
.NET Standard netstandard2.0 netstandard2.1
.NET Framework net461 net462 net463 net47 net471 net472 net48
MonoAndroid monoandroid
MonoMac monomac
MonoTouch monotouch
Tizen tizen40 tizen60
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.

NuGet packages (9)

Showing the top 5 NuGet packages that depend on SharpLearning.InputOutput:

Package Downloads
SharpLearning.DecisionTrees

Provides learning algorithms and models for DecisionTree regression and classification.
SharpLearning.RandomForest

Provides learning algorithms and models for RandomForest and ExtraTrees regression and classification.
SharpLearning.CrossValidation

Provides cross-validation, training/test set samplers and learning curves for SharpLearning.
SharpLearning.GradientBoost

Provides learning algorithms and models for GradientBoost regression and classification.
SharpLearning.Neural

Provides learning algorithms and models for neural net regression and classification.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
0.31.8 6,748 7/12/2020
0.31.7 114,076 10/26/2019
0.31.6 5,058 10/12/2019
0.31.5 1,102 10/9/2019
0.31.4 24,726 7/29/2019
0.31.3 1,305 6/26/2019
0.31.2 1,133 6/23/2019
0.31.1 4,734 3/3/2019
0.31.0 1,545 2/24/2019
0.30.2 1,323 2/3/2019
0.30.1 1,270 2/3/2019
0.30.0 1,358 1/20/2019
0.29.1 1,273 1/20/2019
0.29.0 1,628 12/2/2018
0.28.5 1,332 12/1/2018
0.28.4 2,957 8/17/2018
0.28.3 1,896 7/12/2018
0.28.2 1,493 7/4/2018
0.28.1 2,037 5/27/2018
0.28.0 7,538 5/22/2018
0.27.1 1,385 5/22/2018
0.27.0.1 1,377 5/22/2018
0.27.0 1,421 5/20/2018
0.26.9 5,062 5/6/2018
0.26.8.1 3,796 2/19/2018
0.26.8 1,463 2/18/2018
0.26.7.3 1,581 2/6/2018
0.26.7.2 2,183 1/22/2018
0.26.7.1 1,639 1/14/2018
0.26.7 1,713 12/28/2017
0.26.6.1 1,411 12/23/2017
0.26.6 1,335 12/22/2017
0.26.5.1 1,465 12/21/2017
0.26.5 2,508 10/20/2017
0.26.4 1,391 10/13/2017
0.26.2 1,816 10/8/2017
0.26.0 1,503 10/3/2017
0.25.0.4 58,080 2/25/2017
0.25.0.3 1,581 2/20/2017
0.25.0.1 1,477 2/20/2017
0.25.0 1,448 2/20/2017