SharpLearning.Common.Interfaces 0.25.0.3

There is a newer version of this package available.
See the version list below for details.
dotnet add package SharpLearning.Common.Interfaces --version 0.25.0.3                
NuGet\Install-Package SharpLearning.Common.Interfaces -Version 0.25.0.3                
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.Common.Interfaces" Version="0.25.0.3" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add SharpLearning.Common.Interfaces --version 0.25.0.3                
#r "nuget: SharpLearning.Common.Interfaces, 0.25.0.3"                
#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.Common.Interfaces as a Cake Addin
#addin nuget:?package=SharpLearning.Common.Interfaces&version=0.25.0.3

// Install SharpLearning.Common.Interfaces as a Cake Tool
#tool nuget:?package=SharpLearning.Common.Interfaces&version=0.25.0.3                

Provides common interfaces 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 (10)

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

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.Optimization

Provides optimization algorithms.

SharpLearning.Metrics

Provides classification, regression, impurity and ranking metrics.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
0.31.8 38,473 7/12/2020
0.31.7 163,433 10/26/2019
0.31.6 8,395 10/12/2019
0.31.5 4,512 10/9/2019
0.31.4 28,189 7/29/2019
0.31.3 4,656 6/26/2019
0.31.2 4,404 6/23/2019
0.31.1 8,095 3/3/2019
0.31.0 4,762 2/24/2019
0.30.2 4,639 2/3/2019
0.30.1 4,533 2/3/2019
0.30.0 4,659 1/20/2019
0.29.1 4,544 1/20/2019
0.29.0 4,943 12/2/2018
0.28.5 4,593 12/1/2018
0.28.4 6,963 8/17/2018
0.28.3 5,223 7/12/2018
0.28.2 4,839 7/4/2018
0.28.1 5,495 5/27/2018
0.28.0 26,161 5/22/2018
0.27.1 4,738 5/22/2018
0.27.0.1 4,753 5/22/2018
0.27.0 4,758 5/20/2018
0.26.9 9,743 5/6/2018
0.26.8.1 7,090 2/19/2018
0.26.8 4,661 2/18/2018
0.26.7.3 4,892 2/6/2018
0.26.7.2 5,418 1/22/2018
0.26.7.1 4,869 1/14/2018
0.26.7 5,042 12/28/2017
0.26.6.1 4,556 12/23/2017
0.26.6 4,638 12/22/2017
0.26.5.1 4,733 12/21/2017
0.26.5 5,838 10/20/2017
0.26.4 4,573 10/13/2017
0.26.3 1,153 10/13/2017
0.26.2 5,120 10/8/2017
0.26.0 4,831 10/3/2017
0.25.0.4 60,965 2/25/2017
0.25.0.3 5,422 2/20/2017
0.25.0.1 4,766 2/20/2017
0.25.0 4,853 2/20/2017