private static void TestGradientDescent()
{
var x = np.array(new double[, ] {
{ 1.95223362, 0.19171514, 0.00512253, 0.80421507 }, { 2.33011483, 0.07497046, 2.37159478, 0.77167166 }
});
var y = np.array(new double[] { 2, 1 });
var weight = np.array(np.random.rand(x.shape[1] + 1)).reshape(x.shape[1] + 1, 1);
var progress = LinearRegressionModel.GradientDescent(ref weight, x, y, 500, 0.1);
//Console.WriteLine(np.array(progress.ToArray()).ToString());
foreach (var d in progress)
{
Console.WriteLine(d);
}
}
