SharpLearning.InputOutput 0.31.8

.NET Standard 2.0 This package targets .NET Standard 2.0. The package is compatible with this framework or higher. .NET Framework 4.6.1 This package targets .NET Framework 4.6.1. The package is compatible with this framework or higher. 
dotnet add package SharpLearning.InputOutput --version 0.31.8
                    


                    

                
NuGet\Install-Package SharpLearning.InputOutput -Version 0.31.8
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="SharpLearning.InputOutput" Version="0.31.8" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="SharpLearning.InputOutput" Version="0.31.8" />
                    


                            Directory.Packages.props
                        

                    

                
<PackageReference Include="SharpLearning.InputOutput" />
                    


                            Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package. 
paket add SharpLearning.InputOutput --version 0.31.8
                    


                    

                
#r "nuget: SharpLearning.InputOutput, 0.31.8"
#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. 
#addin nuget:?package=SharpLearning.InputOutput&version=0.31.8
                    


                            Install SharpLearning.InputOutput as a Cake Addin
                        

                    

                
#tool nuget:?package=SharpLearning.InputOutput&version=0.31.8
                    


                            Install SharpLearning.InputOutput as a Cake Tool

Provides CsvParser and serialization for SharpLearning.

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.  net9.0 was computed.  net9.0-android was computed.  net9.0-browser was computed.  net9.0-ios was computed.  net9.0-maccatalyst was computed.  net9.0-macos was computed.  net9.0-tvos was computed.  net9.0-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 is compatible.  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 (10)

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.Neural

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

Provides learning algorithms and models for GradientBoost regression and classification.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
0.31.8 49,842 7/12/2020
0.31.7 168,956 10/26/2019
0.31.6 8,411 10/12/2019
0.31.5 4,577 10/9/2019
0.31.4 28,297 7/29/2019
0.31.3 4,637 6/26/2019
0.31.2 4,422 6/23/2019
0.31.1 8,220 3/3/2019
0.31.0 4,863 2/24/2019
0.30.2 4,740 2/3/2019
0.30.1 4,590 2/3/2019
0.30.0 4,599 1/20/2019
0.29.1 4,634 1/20/2019
0.29.0 5,011 12/2/2018
0.28.5 4,715 12/1/2018
0.28.4 7,139 8/17/2018
0.28.3 5,466 7/12/2018
0.28.2 5,008 7/4/2018
0.28.1 5,500 5/27/2018
0.28.0 30,562 5/22/2018
0.27.1 4,782 5/22/2018
0.27.0.1 4,844 5/22/2018
0.27.0 4,962 5/20/2018
0.26.9 10,005 5/6/2018
0.26.8.1 7,900 2/19/2018
0.26.8 4,858 2/18/2018
0.26.7.3 5,067 2/6/2018
0.26.7.2 5,585 1/22/2018
0.26.7.1 5,007 1/14/2018
0.26.7 5,196 12/28/2017
0.26.6.1 4,736 12/23/2017
0.26.6 4,710 12/22/2017
0.26.5.1 4,941 12/21/2017
0.26.5 5,877 10/20/2017
0.26.4 4,848 10/13/2017
0.26.2 5,164 10/8/2017
0.26.0 4,916 10/3/2017
0.25.0.4 61,575 2/25/2017
0.25.0.3 5,443 2/20/2017
0.25.0.1 4,812 2/20/2017
0.25.0 5,032 2/20/2017