private static void TestLinearRegression()
{
var lrm = new LinearRegressionModel {
Weights = np.array(new double[] { 2, 4, 6, 2, 2 })
};
var x = np.array(new double[][] { new double[] { 1, 1, 1, 1 } });
var list = LinearRegressionModel.MatrixToDataSet(x);
var resultat = lrm.Predict(list);
Console.WriteLine(resultat.ToString());
}
private static void TestFit()
{
var lrm = new LinearRegressionModel {
Weights = np.array(new double[] { 2, 4, 6, 2, 2 })
};
var x = np.array(new double[, ] {
{ 1, 1, 1, 1 }, { 2, 5, 2, 2 }, { 2, 3, 2, 2 }, { 5, 2, 2, 2 }, { 2, 2, 3, 2 }, { 7, 2, 2, 2 }, { 2, 6, 2, 2 }, { 2, 4, 2, 2 }, { 2, 3, 3, 2 }, { 2, 2, 2, 8 }
});
var list = LinearRegressionModel.MatrixToDataSet(x);
var yList = lrm.Predict(list);
var y = np.array(yList.Cast <double>().ToArray());
Console.WriteLine($"Weights {lrm.Weights.ToString()}");
Console.WriteLine($"X {x.ToString()}");
Console.WriteLine($"Y { y.ToString()}");
lrm.Fit(list, yList);
Console.WriteLine($"Weights after fit {lrm.Weights.ToString()}");
}