KNN Sharp

Try it out on .NET Fiddle.

Getting Started

1. Create a console project.
2. Download and add the nuget package to your project.
3. Download the sample dataset and place it on the root of your project and in the same directory as your build artifact.
4. Replace the contents of Program.cs with:

    using Xapier14.KnnSharp;
   
    // load the data set
    var knn = new KnnClassifierModel<double>();
    var dataSet = DataSet<double>.LoadFromCsvFile("iris.data");
    dataSet.SetDataLabels("Sepal Length", "Sepal Width", "Petal Length", "Petal Width", "Class");
    var accuracy = knn.TrainAndTest(dataSet);
    Console.WriteLine("KNN data set loaded. Accuracy: {0}%", accuracy * 100.0);
   
    // test the data set interactively
    while (true)
    {
        Console.WriteLine("-Predict-");
        Console.Write("Sepal Length: ");
        var sepalLength = double.Parse(Console.ReadLine()!);
        Console.Write("Sepal Width: ");
        var sepalWidth = double.Parse(Console.ReadLine()!);
        Console.Write("Petal Length: ");
        var petalLength = double.Parse(Console.ReadLine()!);
        Console.Write("Petal Length: ");
        var petalWidth = double.Parse(Console.ReadLine()!);
        Console.WriteLine("Predicted Classification: {0}", knn.Classify(sepalLength, sepalWidth, petalLength, petalWidth));
        Console.WriteLine();
    }
   

5. Run the project.