/// <summary>
/// Odczytuje klasyfikator Bayesa z podanego pliku.
/// </summary>
/// <param name="pathFile">Scieżka do pliku.</param>
public void LoadBayes(String pathFile)
{
Stream stream = File.Open(pathFile, FileMode.Open);
BinaryFormatter bFormatter = new BinaryFormatter();
this.bayesClassificator = (BayesClassificator)bFormatter.Deserialize(stream);
DocumentClass.DocumentCategories = (List <String>)bFormatter.Deserialize(stream);
LoadSettings(stream, bFormatter);
stream.Close();
this.form.LoadClassificatorEnd(ClasyficatorType.Bayes);
}
public void Test()
{
string[] boys = new String[] { "Michal", "Pawel", "Jan", "Wiktor", "Zbigniew", "Emil", "Tomek" };
string[] girls = new String[] { "Wika", "Ania", "Aga", "Joanna", "Gosia", "Iwona" };
string[] testBoys = new String[] { "Michal", "Jan", "Andrzej", "Tomek" };
string[] testGirls = new String[] { "Wika", "Ania", "Joanna", "Ilona" };
string[] testDiferent = new String[] { "Wika", "Ania", "Joanna", "Ilona", "Tomek", "Gosia" };
BayesClassificator bayes = new BayesClassificator();
Console.WriteLine("Uczy sie imion chlopcow ....");
bayes.Learn(boys); //index 0
Console.WriteLine("Uczy sie imion dziewczyn ...");
bayes.Learn(girls); //index 1
int test = bayes.Classificate(testBoys);
if (test == 0)
{
Console.WriteLine("Zgadl !. To naprawde imiona chlopcow.");
}
else
{
Console.WriteLine("Niestety. Prawidlowa odpowiedz: imiona chlopcow !");
}
test = bayes.Classificate(testGirls);
if (test == 1)
{
Console.WriteLine("Zgadl !. To naprawde imiona dziewczyn.");
}
else
{
Console.WriteLine("Niestety. Prawidlowa odpowiedz: imiona dziewczyn !");
}
test = bayes.Classificate(testDiferent);
if (test == 1)
{
Console.WriteLine("Mysli ze to imiona dziewczyn.");
}
else if (test == 0)
{
Console.WriteLine("Mysli ze to imiona chlopcow.");
}
Assert.IsTrue(true);
}
private void BayesLearn()
{
//tworze klasyfikator
bayesClassificator = new BayesClassificator(learningWorker);
//ładuje listę kategorii
DocumentClass.LoadFromFiles(Settings.Default.pathLearningDir, PreprocessingConsts.CategoryFilePattern);
//tworze liste kategorii
CategoryList categoryList = new CategoryList(Settings.Default.pathLearningDir, PreprocessingConsts.CategoryFilePattern);
this.allWordsInBayesCategory = categoryList.AllWordsCount;
//nauka
if (bayesClassificator.Learn(categoryList) == false)
{
bayesClassificator = null;
this.allWordsInBayesCategory = 0;
}
}
