static void Main(string[] args)
{
if (args.Length != 2)
{
Console.WriteLine("TestMultipleLinearRegression [train corpus file name] [test corpus file name]");
return;
}
double[][] inputs;
double[] outputs;
Console.WriteLine("Loading train corpus...");
//Load training corpus
LoadCorpusFromFile(args[0], out inputs, out outputs);
Console.WriteLine("Multiple linear regression...");
MultipleLinearRegression mlr = new MultipleLinearRegression(inputs[0].Length, true);
double error = mlr.Regress(inputs, outputs);
Console.WriteLine("Parameter list:");
for (int i = 0; i < mlr.Coefficients.Length; i++)
{
Console.WriteLine("Coefficient {0}: {1}", i, mlr.Coefficients[i]);
}
Console.WriteLine("Delta: {0}", error);
Console.WriteLine();
//Load test corpus
Console.WriteLine("Testing regress result:");
LoadCorpusFromFile(args[1], out inputs, out outputs);
for (int i = 0; i < outputs.Length; i++)
{
StringBuilder sb = new StringBuilder();
double output = mlr.Compute(inputs[i]);
for (int j = 0; j < inputs[i].Length; j++)
{
sb.Append(inputs[i][j].ToString() + " ");
}
sb.Append(outputs[i] + " RV:" + output);
sb.Append(" Err:" + (output - outputs[i]).ToString());
Console.WriteLine(sb.ToString());
}
}
/// <summary>
/// Creates a new Simple Linear Regression of the form y = Ax + B.
/// </summary>
///
public SimpleLinearRegression()
{
this.regression = new MultipleLinearRegression(2);
}
/// <summary>
/// Creates a new Simple Linear Regression of the form y = Ax + B.
/// </summary>
///
public SimpleLinearRegression()
{
this.regression = new MultipleLinearRegression(2);
}
