static void StochasticGradientDescent()
{
string dataDirectory = "C:\\Dropbox\\Private\\Stanford\\CS246\\Homeworks\\HW4\\Q1\\HW4-q1\\";
GradientDescent gd = new StochasticGradientDescent(dataDirectory + "features.txt", dataDirectory + "target.txt");
Stopwatch stopwatch = new Stopwatch();
var results = gd.Iterate();
using (System.IO.StreamWriter file = new System.IO.StreamWriter("C:\\Dropbox\\Private\\Stanford\\CS246\\Homeworks\\HW4\\Q1\\output\\SGD.txt"))
{
Console.WriteLine(" k \t Cost\t\t Time\n----\t----------------\t----------");
file.WriteLine(" k \t Cost\t\t Time\n----\t----------------\t----------");
foreach (var result in results)
{
if (result.Item1 == 1 || result.Item1 == results.Count || (result.Item1 % 100 == 0))
{
Console.WriteLine("{0}\t{1}\t{2}", result.Item1.ToString().PadLeft(4), result.Item2.ToString().PadRight(16), FormatSeconds(result.Item3.TotalSeconds));
}
file.WriteLine("{0}\t{1}\t{2}", result.Item1.ToString().PadLeft(3), result.Item2.ToString().PadRight(16), FormatSeconds(result.Item3.TotalSeconds));
}
}
Console.WriteLine("\nStochastic Gradient Descent Complete.\n");
}
static void Q1f()
{
string dataDirectory = "C:\\Dropbox\\Private\\Stanford\\CS246\\Homeworks\\HW4\\Q1\\HW4-q1\\";
Console.WriteLine("C\tTime Elapsed\t\tError");
foreach (double c in new double[] { 1, 10, 50, 100, 200, 300, 400, 500 })
{
GradientDescent gd = new StochasticGradientDescent(dataDirectory + "features.train.txt", dataDirectory + "target.train.txt", c);
var results = gd.Iterate();
var timeElapsed = results[results.Count - 1].Item3;
var error = gd.GetError(dataDirectory + "features.test.txt", dataDirectory + "target.test.txt");
Console.WriteLine("{0}\t{1}\t{2}", gd.C, timeElapsed, error);
}
}
static void StochasticGradientDescent()
{
string dataDirectory = "C:\\Dropbox\\Private\\Stanford\\CS246\\Homeworks\\HW4\\Q1\\HW4-q1\\";
GradientDescent gd = new StochasticGradientDescent(dataDirectory + "features.txt", dataDirectory + "target.txt");
Stopwatch stopwatch = new Stopwatch();
var results = gd.Iterate();
using (System.IO.StreamWriter file = new System.IO.StreamWriter("C:\\Dropbox\\Private\\Stanford\\CS246\\Homeworks\\HW4\\Q1\\output\\SGD.txt"))
{
Console.WriteLine(" k \t Cost\t\t Time\n----\t----------------\t----------");
file.WriteLine(" k \t Cost\t\t Time\n----\t----------------\t----------");
foreach (var result in results)
{
if (result.Item1 == 1 || result.Item1 == results.Count || (result.Item1 % 100 == 0))
{
Console.WriteLine("{0}\t{1}\t{2}", result.Item1.ToString().PadLeft(4), result.Item2.ToString().PadRight(16), FormatSeconds(result.Item3.TotalSeconds));
}
file.WriteLine("{0}\t{1}\t{2}", result.Item1.ToString().PadLeft(3), result.Item2.ToString().PadRight(16), FormatSeconds(result.Item3.TotalSeconds));
}
}
Console.WriteLine("\nStochastic Gradient Descent Complete.\n");
}
static void Q1f()
{
string dataDirectory = "C:\\Dropbox\\Private\\Stanford\\CS246\\Homeworks\\HW4\\Q1\\HW4-q1\\";
Console.WriteLine("C\tTime Elapsed\t\tError");
foreach (double c in new double[] { 1, 10, 50, 100, 200, 300, 400, 500 })
{
GradientDescent gd = new StochasticGradientDescent(dataDirectory + "features.train.txt", dataDirectory + "target.train.txt", c);
var results = gd.Iterate();
var timeElapsed = results[results.Count - 1].Item3;
var error = gd.GetError(dataDirectory + "features.test.txt", dataDirectory + "target.test.txt");
Console.WriteLine("{0}\t{1}\t{2}", gd.C, timeElapsed, error);
}
}
