/// <summary>
/// Trains a linear regression model to predict bicycle sharing patterns
/// Files can be downloaded from https://archive.ics.uci.edu/ml/machine-learning-databases/00275/
/// </summary>
/// <param name="dataFilePath">The path to the csv file</param>
public static void PredictBicyclesWithNeuralNetwork(string dataFilePath)
{
var dataTable = _LoadBicyclesDataTable(dataFilePath);
var split = dataTable.Split(0);
using (var lap = BrightWireProvider.CreateLinearAlgebra(false))
{
var graph = new GraphFactory(lap);
var errorMetric = graph.ErrorMetric.Quadratic;
var trainingData = graph.CreateDataSource(split.Training);
var testData = trainingData.CloneWith(split.Test);
graph.CurrentPropertySet
.Use(graph.Adam())
;
var engine = graph.CreateTrainingEngine(trainingData, 1.3f, 128);
graph.Connect(engine)
.AddFeedForward(16)
.Add(graph.SigmoidActivation())
//.AddDropOut(dropOutPercentage: 0.5f)
.AddFeedForward(engine.DataSource.OutputSize)
//.Add(graph.SigmoidActivation())
.AddBackpropagation(errorMetric)
;
engine.Train(500, testData, errorMetric);
}
}
