SharpLearning.InputOutput 0.25.0.1

.NET Framework 4.5 This package targets .NET Framework 4.5. The package is compatible with this framework or higher.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package SharpLearning.InputOutput --version 0.25.0.1                

                    
                

            
NuGet\Install-Package SharpLearning.InputOutput -Version 0.25.0.1
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="SharpLearning.InputOutput" Version="0.25.0.1" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add SharpLearning.InputOutput --version 0.25.0.1                

                    
                

            
#r "nuget: SharpLearning.InputOutput, 0.25.0.1"
#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 SharpLearning.InputOutput as a Cake Addin
#addin nuget:?package=SharpLearning.InputOutput&version=0.25.0.1

// Install SharpLearning.InputOutput as a Cake Tool
#tool nuget:?package=SharpLearning.InputOutput&version=0.25.0.1

Provides CsvParser and serialization for SharpLearning.

Product Compatible and additional computed target framework versions.
.NET Framework net45 is compatible.  net451 was computed.  net452 was computed.  net46 was computed.  net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
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.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 38,168 7/12/2020
0.31.7 158,455 10/26/2019
0.31.6 8,353 10/12/2019
0.31.5 4,526 10/9/2019
0.31.4 28,216 7/29/2019
0.31.3 4,593 6/26/2019
0.31.2 4,358 6/23/2019
0.31.1 8,150 3/3/2019
0.31.0 4,808 2/24/2019
0.30.2 4,681 2/3/2019
0.30.1 4,535 2/3/2019
0.30.0 4,538 1/20/2019
0.29.1 4,579 1/20/2019
0.29.0 4,943 12/2/2018
0.28.5 4,640 12/1/2018
0.28.4 6,951 8/17/2018
0.28.3 5,245 7/12/2018
0.28.2 4,848 7/4/2018
0.28.1 5,385 5/27/2018
0.28.0 26,191 5/22/2018
0.27.1 4,670 5/22/2018
0.27.0.1 4,732 5/22/2018
0.27.0 4,756 5/20/2018
0.26.9 9,836 5/6/2018
0.26.8.1 7,160 2/19/2018
0.26.8 4,690 2/18/2018
0.26.7.3 4,879 2/6/2018
0.26.7.2 5,411 1/22/2018
0.26.7.1 4,836 1/14/2018
0.26.7 5,023 12/28/2017
0.26.6.1 4,565 12/23/2017
0.26.6 4,594 12/22/2017
0.26.5.1 4,762 12/21/2017
0.26.5 5,760 10/20/2017
0.26.4 4,726 10/13/2017
0.26.2 5,043 10/8/2017
0.26.0 4,798 10/3/2017
0.25.0.4 61,448 2/25/2017
0.25.0.3 5,326 2/20/2017
0.25.0.1 4,694 2/20/2017
0.25.0 4,820 2/20/2017