public void ShouldConvertAlleLettersToAppropriateValues()
{
var input = Helpers.GenerateAllNumberValuesForLetters();
var output = OutputConverter.Convert(input);
Assert.AreEqual(Helpers.GenerateAllLetters(), output);
}
public void ShouldConvertUpperCaseAToAppropriateValue()
{
var input = new[] { 27 };
var output = OutputConverter.Convert(input);
Assert.AreEqual("A", output);
}
public void ShouldConvertNumberToProperValue()
{
var input = new [] { 1 };
var output = OutputConverter.Convert(input);
Assert.AreEqual("a", output);
}
private void showDataComboBox_SelectionChanged(object sender, SelectionChangedEventArgs e)
{
if (showItemComboBox != null)
{
String selectedValue = (String)showDataComboBox.SelectedValue;
DataItem.DataTypes selectedDataType = DataItem.DataTypes.None;
switch (selectedValue)
{
case "Uczące":
selectedDataType = DataItem.DataTypes.Learning;
break;
case "Walidujące":
selectedDataType = DataItem.DataTypes.Validate;
break;
case "Testowe":
selectedDataType = DataItem.DataTypes.Testing;
break;
}
showItemComboBox.Items.Clear();
for (int i = 0; i < dataHolder.Items.Count; i++)
{
if (dataHolder.Items[i].dataType == selectedDataType)
{
showItemComboBox.Items.Add(
new ComboBoxItem()
{
Content = outputConverter.Convert(dataHolder.Items[i].Outputs).ToString(),
Tag = i
}
);
}
}
showItemComboBox.SelectedIndex = 0;
}
}
public void Test(DataItem dataItem)
{
PatternOutputs = dataItem.Outputs;
neuralNetwork.SetInputs(dataItem.Inputs);
neuralNetwork.Propagate();
NetworkOutputs = neuralNetwork.GetOutputs();
ExpectedValue = outputConverter.Convert(PatternOutputs);
ReceivedValue = outputConverter.GetMostProbablyValue(NetworkOutputs);
Probability = outputConverter.GetProbability(NetworkOutputs, PatternOutputs);
}
public void ShouldThrowErrorForInvalidInput()
{
var input = new[] { 0 };
Assert.Throws <ArgumentException>(() => OutputConverter.Convert(input));
}
