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Getting started
SharpLearning requires visual studio to build and run. You can download and install Visual Studio 2017 Community Edition from here:
The quickest way of getting started with SharpLearning is to clone the examples repository: SharpLearning.Examples. This repository contains data and examples that shows how to use SharpLearning.
After cloning the repository open the solution file in visual studio. Browse to one of the examples using the solution explorer, place the cursor within the specific example to run and press (Ctrl+R, Ctrl+T) to run the example:
The recommended and easiest way of including SharpLearning in a project is to use NuGet.
Search for "SharpLearning" in the nuget package manager from visual studio, then choose the packages you want to install. There are separate packages for each of the learner/model types, so it is possible to include only SharpLearning.RandomForest if this is the only learner of interest. There is an overview and description of the individual packages in the readme