ArtificialInteligenceLibrary 1.0.0

using ArtificialInteligence; using NUnit.Framework; using System.IO;

namespace PerceptronTests { public class Tests { Perceptron p;

    [Test]
    public void ItShouldWorkWithFiles()
    {
        var helper = new CSVHelper();
        var testData = helper.ConvertToData(@"C:\Users\xxxxx\source\repos\ArtificialInteligence\PerceptronTests\TrainData.csv");
        var predictData = helper.ConvertToData(@"C:\Users\xxxxx\source\repos\ArtificialInteligence\PerceptronTests\PredictionData.csv");
        p = new Perceptron(4);
        p.TrainDataSetForEpochs(1000, testData);
        var results = p.Predictions(predictData);
        System.Console.WriteLine($"Prediction should be high: {results[0]}");
        System.Console.WriteLine($"Prediction should be low: {results[1]}");
        Assert.That(results[0] > 0.9, $"Prediction should be > 0.9, currently: {results[0]}");
        Assert.That(results[1] < 0.1, $"Prediction should be < 0.1, currently: {results[1]}");
        helper.AppendResults(@"C:\Users\xxxxx\source\repos\ArtificialInteligence\PerceptronTests\PredictionData.csv", results);
        
    }

}

}

! The file with the data will contain values separated by coma. The last value will be treated as the expected output. The others will be read as input values.