Getting Started

The newest version of numl is designed to work on the .NET platform (as much as we could reach). This tutorial is designed to get you started on (hopefully) any platform. This is all CLI based.

Installing .NET Core

Installing .NET Core should not be too difficult if you follow the instructions outlined on the Getting Started page. There are several links for installing the bits depending on your OS.

Initializing a Project

  1. Create a folder for your project
  2. cd into it and dotnet new console - this will create a basic console application
  3. Next we will add numl (and its dependencies) to the project via NuGet. Run dotnet add package numl -v 0.9.9-*. This modifies the .csproj project file as follows:
<Project Sdk="Microsoft.NET.Sdk">
    <PackageReference Include="numl" Version="0.9.9-*" />

These were the lines added:

    <PackageReference Include="numl" Version="0.9.9-*">

If you are using Visual Studio Code and edit the project file manually, it will ask you to update the dependencies.

Writing Some Code

Add the sample Iris.cs code to your project folder. I added some code to my Program.cs file to test things out (it ended up looking like this):

using System;
using numl.Model;
using numl.Supervised.DecisionTree;

namespace ConsoleApplication
    public class Program
        public static void Main(string[] args)
            Console.WriteLine("Hello World!");
            var description = Descriptor.Create<Iris>();
            var generator = new DecisionTreeGenerator();
            var data = Iris.Load();
            var model = generator.Generate(description, data);
            Console.WriteLine("Generated model:");

Running the code

  1. Run dotnet restore if you've made further changes to the .csproj file
  2. Run dotnet run

numl running