private void confirm_Click(object sender, EventArgs e)
{
Metrics.metric metric;
DataValidation dataValidation;
int k;
string userSampleString;
List <double> attributesToCheck;
int? decision;
if (!DataValidation.isDataLoaded(dataLoader, out string dataError))
{
MessageBox.Show(dataError);
return;
}
dataValidation = new DataValidation(sampleColection, dataLoader, comboBox, kBox, attrBox);
if (!dataValidation.isValid)
{
MessageBox.Show(dataValidation.message);
return;
}
if ((string)comboBox.SelectedItem == "Minkowski Metric")
{
if (!DataValidation.isCorrectP(pBox, out string pError))
{
MessageBox.Show(pError);
return;
}
}
p = int.Parse(pBox.Text);
k = int.Parse(kBox.Text);
userSampleString = attrBox.Text;
metric = Metrics.chooseMetric(comboBox);
attributesToCheck = Data.rowToList(userSampleString);
decision = Algorithm.chooseDecision(attributesToCheck, sampleColection, k, metric, p);
resultsTextBox.Text = "";
results.Add("Attributes: " + userSampleString + "\nK: " + k + "\nMetric: " + comboBox.SelectedItem + "\nDecision: " + (decision == null ? "Couldn't solve" : decision.ToString()) + "\n----------\n");
foreach (string result in results)
{
resultsTextBox.Text += result;
}
}
private void loadData_Click(object sender, EventArgs e)
{
dataLoader = new DataLoader(ofd);
if (!DataValidation.isDataLoaded(dataLoader, out string dataError))
{
dataInfo.Text = dataError;
return;
}
sampleColection = new SampleColection(dataLoader.data);
var samplesAmount = sampleColection.countSamples();
var decisionAmount = sampleColection.possibleDecisions().Count;
var attributesAmount = sampleColection.samples.First().attributes.Count;
var maxK = KChecker.maxK(sampleColection);
dataInfo.Text = "File OK\n";
dataInfo.Text += "Loaded " + samplesAmount + " samples\n";
dataInfo.Text += "There are " + decisionAmount + " decisions possible\n";
dataInfo.Visible = true;
attributesInfo.Text = "Attributes";
attributesInfo.Text += "\nEnter " + attributesAmount + " attributes";
kInfo.Text = "K";
kInfo.Text += "\nK must be between 1 and " + maxK;
}