class IdcQnn():
""" IdcQnn
IdcQnn is a wrapper class that creates the Invasive Ductal Carcinoma
Tensorflow QNN (Quantum Neural Network).
"""
def __init__(self):
""" Initializes the class. """
self.Helpers = Helpers("Core")
self.QModel = QModel()
self.Helpers.logger.info("IdcQnn QNN initialization complete.")
def do_data(self):
""" Sorts the training data """
self.Data = Data()
self.Data.get_paths_n_labels()
self.Data.process_data()
def do_train(self):
""" Creates & trains the QNN.
CREDIT: https://www.tensorflow.org/quantum/tutorials/mnist
CREDIT: https://arxiv.org/pdf/1802.06002.pdf
"""
self.QMNIST = QMNIST()
# "Quantumize" the training data
X_train_bin, X_test_bin = self.QMNIST.encode_data_as_binary(
self.Data.X_train, self.Data.X_test)
X_train_circ, X_test_circ = self.QMNIST.do_circuit_conversion(
X_train_bin, X_test_bin)
x_train_tfcirc, x_test_tfcirc = self.QMNIST.convert_to_tensors(
X_train_circ, X_test_circ)
# Create the Quantum Neural Network
model_circuit, model_readout = self.QModel.create_quantum_model()
self.QModel.create_keras_model(model_circuit, model_readout)
# Train the Quantum Neural Network
self.QModel.train_model(x_train_tfcirc, x_test_tfcirc,
self.Data.y_train, self.Data.y_test)
self.QModel.do_evaluate(x_train_tfcirc, x_test_tfcirc,
self.Data.y_test)
class QMNISTCOVID19():
""" QMNISTCOVID19
QMNISTCOVID19 is a wrapper class that creates the COVID-19 Tensorflow QNN (Quantum Neural Network).
"""
def __init__(self):
""" Initializes the class. """
self.Helpers = Helpers("Core")
self.Helpers.logger.info("QMNISTCOVID19 QNN initialization complete.")
def do_data(self):
""" Sorts the training data """
self.Data = Data()
self.Data.get_paths_n_labels()
self.Data.process_data()
def do_train(self):
""" Creates & trains the QNN. """
self.QMNIST = QMNIST()
X_train_bin, X_test_bin = self.QMNIST.encode_as_binary(
self.Data.X_train, self.Data.X_test)
X_train_circ, X__test_circ = self.QMNIST.do_circuit_conversion(
X_train_bin, X_test_bin)
x_train_tfcirc, x_test_tfcirc = self.QMNIST.convert_to_tensors(
X_train_circ, X__test_circ)
def do_load_model(self):
""" Loads the trained model """
print("TODO")
def do_classify(self):
""" Classifies the test data """
print("TODO")
