/// <summary>
/// Tests the network.
/// </summary>
/// <param name="executor">Executor.</param>
/// <param name="data">Data.</param>
/// <param name="categoricalAttribute">Categorical attribute.</param>
public void TestNetwork(StringBuilder execution, string[][] data, shared.Attribute[] listAttributes,
shared.Attribute categoricalAttribute)
{
int success = 0, failure = 0;
// to each epoch (we are assuming that each training data line is an epoch)
foreach (var line in data) {
int index = 0;
List<double> inputValues = new List<double> ();
double[] targetValues = new double[1]
{ categoricalAttribute.Values.IndexOf (line [categoricalAttribute.Index]) };
foreach (string value in line) {
if (index < listAttributes.Count ()) {
if (listAttributes [index].Values.Count () > 0)
inputValues.Add (listAttributes [index].Values.IndexOf (value));
else
inputValues.Add (double.Parse (value));
index++;
}
}
double[] hiddenOut;
double[] outputOut = this.ComputeOutputs (inputValues.ToArray (), out hiddenOut);
if (Math.Round (outputOut.First (), 0) == targetValues.First ())
success++;
else
failure++;
}
execution.AppendLine();
execution.AppendFormat("Successful: {0}\n", success);
execution.AppendFormat("Failure: {0}\n", failure);
execution.AppendFormat("Rate: {0}%\n", Math.Ceiling((double)success / (double)data.Length * 100));
}
/// <summary>
/// Builds the network.
/// </summary>
/// <param name="data">Data.</param>
/// <param name="listAttributes">List attributes.</param>
/// <param name="categoricalAttribute">Categorical attribute.</param>
public void BuildNetwork(string[][] data, shared.Attribute[] listAttributes,
shared.Attribute categoricalAttribute)
{
double error = 0;
// to each epoch (we are assuming that each training data line is an epoch)
foreach (var line in data) {
int epoch = 0;
int index = 0;
List<double> inputValues = new List<double> ();
double[] targetValues = new double[1]
{ categoricalAttribute.Values.IndexOf (line [categoricalAttribute.Index]) };
foreach (string value in line) {
if (index < listAttributes.Count ()) {
if (listAttributes [index].Values.Count () > 0)
inputValues.Add (listAttributes [index].Values.IndexOf (value));
else
inputValues.Add (double.Parse (value));
index++;
}
}
while (epoch < 10000) {
double[] hiddenOut;
double[] outputOut = this.ComputeOutputs (inputValues.ToArray (), out hiddenOut);
// get the error
error = this.GetError (targetValues, outputOut);
// if current error is less the the defined error threshold
if (error < this.ErrorThreshold) {
break;
}
// update the weights
this.UpdateWeights (inputValues.ToArray (), hiddenOut, outputOut, targetValues);
epoch++;
}
// if current error is less the the defined error threshold
if (error < this.ErrorThreshold) {
break;
}
}
}
