private void SetFormStateAfterLearn(ClasyficatorType classificationType)
{
//buttons and progress bar
changeLearningButtons(false);
this.progressBarLearn.Visible = false;
this.progressBarLearn.Value = ProgressBarClassification.Minimum;
//label stanu klasyfikacji
SetClassificatorState();
SetClassificationInfoAfterLearn(classificationType);
//wybór reprzentacji s³owników i dokumentów
SetEnableRadioButtonRepresentation(true);
//zmiana operacji (nauka/klasyfikacjia)
this.RadialNetworkToolStripMenuItem.Enabled = true;
this.BayesToolStripMenuItem.Enabled = true;
//menu
this.preproccesingToolStripMenuItem.Enabled = true;
this.saveBayesToolStripMenuItem.Enabled = true;
this.saveNetworkToolStripMenuItem.Enabled = true;
this.loadBayesToolStripMenuItem.Enabled = true;
this.loadNetworkToolStripMenuItem.Enabled = true;
this.loadToolStripMenuItem.Enabled = true;
this.buttonLearningStart1.Enabled = true;
this.buttonClassificationStart.Enabled = true;
//menu (NA KONCU)
SetMenuSaveClassificatorState();
}
private void SetClassificatorState()
{
ClasyficatorType classificationType = (ClasyficatorType)Settings.Default.clasificatorType;
switch (classificationType)
{
case ClasyficatorType.Bayes:
labelClassificationNameClassificatorState.Text = "Stan klasyfikatora Bayes'a:";
if (controller.IsAfterLearn())
{
labelClassificationValueClassificatorState.Text = "Nauczony";
}
else
{
labelClassificationValueClassificatorState.Text = "Nie nauczony";
}
break;
case ClasyficatorType.RadialNeural:
labelClassificationNameClassificatorState.Text = "Stan sieci:";
if (controller.IsAfterLearn())
{
labelClassificationValueClassificatorState.Text = "Nauczona";
}
else
{
labelClassificationValueClassificatorState.Text = "Nie nauczona";
}
break;
default:
break;
}
}
private void SetClassificationInfoAfterLearn(ClasyficatorType classificationType)
{
if (classificationType == ClasyficatorType.RadialNeural && this.controller.IsAfterLearn(ClasyficatorType.RadialNeural))
{
labelClassificationValueDirectory.Text = DictionaryTypeUtil.ToString(controller.LearnDictionaryType);
labelClassificationValueDocument.Text = DocumentRepresentationTypeUtil.ToString(controller.LearnDocumentRepresentationType);
}
}
public void SetFormStateArferLoadClassificator(ClasyficatorType classificateType)
{
//labele nauki
this.SetLearningInfo();
//label mówi¹cy o stanie klasyfikatora
SetClassificatorState();
SetClassificationInfoAfterLearn(classificateType);
//stan menu zapisu klasyfikatorów
SetMenuSaveClassificatorState();
}
public bool IsAfterLearn(ClasyficatorType classificatorType)
{
switch (classificatorType)
{
case ClasyficatorType.Bayes:
return(this.bayesClassificator != null);
case ClasyficatorType.RadialNeural:
return(radialNetwork != null);
default:
throw new NotImplementedException("Nieznany typ klasyfikacji.");
}
}
public static String ToString(ClasyficatorType classificatorType)
{
switch (classificatorType)
{
case ClasyficatorType.Bayes:
return("Bayes");
case ClasyficatorType.RadialNeural:
return("RadialNeural");
default:
throw new Exception("Methode not implemented for this type.");
}
}
//LOAD CLASSIFICATOR
public void LoadClassificatorEnd(ClasyficatorType classificationType)
{
this.SetFormStateArferLoadClassificator(classificationType);
}
