private void buttonRunCase_Click(object sender, EventArgs e)
{
if (network.IsTrained && dataSet.GetType() == typeof(IrisFlowerDataSets))
{
Cursor.Current = Cursors.WaitCursor;
var caseSet = new DataSet[1];
caseSet[0] = new IrisFlower(Convert.ToDouble(textBoxSL.Text), Convert.ToDouble(textBoxSW.Text), Convert.ToDouble(textBoxPL.Text), Convert.ToDouble(textBoxPW.Text), IrisFlower.IrisSpecies.Unknown);
textBoxResult.Clear();
Matrix <double> runCaseInput = dataSet.CreatePropertiesMatrixFromSet(caseSet);
Matrix <double> predicted = network.Forward(runCaseInput);
textBoxResult.AppendText(DataSet.ClassifyOutput(predicted.Column(0), NetworkGraphics.OutputNames, caseSet[0]));
NetworkGraphics.ToTreeView(treeView1, network);
NetworkGraphics.ToPictureBox(pictureBox1, network, 400, 0);
Cursor.Current = Cursors.Default;
}
}
//OVERRIDES DEFAULTA RESULT PROCESSING
public override String ProcessTestSetResults(Matrix <double> testSetInput, Matrix <double> testSetOutput, Matrix <double> testSetPredictedOutcome)
{
double accError = 0;
int failures = 0;
int canNotDefine = 0;
String txt = "Testing Set Results\r\n\r\n";
for (int i = 0; i < testSetPredictedOutcome.RowCount; i++)
{
var realResult = IrisFlower.EstimateSpecie(testSetOutput.Row(i).ToArray());
var estimatedResult = IrisFlower.EstimateSpecie(testSetPredictedOutcome.Row(i).ToArray());
var error = EstimationItemError(testSetPredictedOutcome.Row(i));
string result = String.Empty;
if (estimatedResult == IrisFlower.IrisSpecies.Unknown)
{
canNotDefine++;
result = "[UNDEFINED]";
}
else
{
if (estimatedResult != realResult)
{
failures++;
result = "[ERROR]";
}
}
result += "Real Output was " + realResult.ToString() + " estimation was " + estimatedResult.ToString() + "[Error:" + Math.Round(error, 5) + "]\r\n";
txt += result;
accError += error;
}
txt += "\r\n\r\nAverage Estimation Error: " + (accError / testSetPredictedOutcome.RowCount).ToString();
txt += "\r\nTotal Errors: " + failures + " out of " + testSetPredictedOutcome.RowCount + " samples [" + Math.Round((double)(100 * failures / testSetPredictedOutcome.RowCount), 2) + "%]";
txt += "\r\nTotal Undefined: " + canNotDefine + " out of " + testSetPredictedOutcome.RowCount + " samples [" + Math.Round((double)(100 * canNotDefine / testSetPredictedOutcome.RowCount), 2) + "%]";
return(txt);
}
new const double defaultErrorThreshold = 0.25; //Override BaseClass DefaultErrorThreshold
public IrisFlowerDataSets()
{
InputNeuronNames = IrisFlower.GetInputVariablesList();
OutputNeuronNames = IrisFlower.GetOutputVariablesList();
}