def __initData(self):
self.__paintBoard = PaintBoard(self)
mint = tf.keras.datasets.mnist
(X, y), (X_test, y_test) = mint.load_data()
self.model = NaiveBayesScratch()
X = np.array(X).reshape(60000, 784)
self.__xtest = np.array(X_test).reshape(10000, 784)
self.__ytest = y_test
self.model.fit(X, y)
def __initData(self):
self.__paintBoard = PaintBoard(self)
self.__model = NeuralNetwork()
def __initData(self):
self.__paintBoard = PaintBoard(self)
self.__model = DigitClassifier()
def __initData(self):
self.__paintBoard = PaintBoard(self)
self.model = NaiveBayes()