def test_change_kernel(self):
"""Test QSVC with QuantumKernel later"""
qkernel = QuantumKernel(feature_map=self.feature_map,
quantum_instance=self.statevector_simulator)
pegasos_qsvc = PegasosQSVC(C=1000, num_steps=self.tau)
pegasos_qsvc.quantum_kernel = qkernel
pegasos_qsvc.fit(self.sample_train, self.label_train)
score = pegasos_qsvc.score(self.sample_test, self.label_test)
self.assertEqual(score, 1)
def test_qsvc_4d(self):
"""Test PegasosQSVC with 4-dimensional input data"""
qkernel = QuantumKernel(feature_map=self.feature_map_4d,
quantum_instance=self.statevector_simulator)
pegasos_qsvc = PegasosQSVC(quantum_kernel=qkernel,
C=1000,
num_steps=self.tau)
pegasos_qsvc.fit(self.sample_train_4d, self.label_train_4d)
score = pegasos_qsvc.score(self.sample_test_4d, self.label_test_4d)
self.assertEqual(score, 1.0)
def test_precomputed_kernel(self):
"""Test PegasosQSVC with a precomputed kernel matrix"""
qkernel = QuantumKernel(feature_map=self.feature_map,
quantum_instance=self.statevector_simulator)
pegasos_qsvc = PegasosQSVC(C=1000,
num_steps=self.tau,
precomputed=True)
# training
kernel_matrix_train = qkernel.evaluate(self.sample_train,
self.sample_train)
pegasos_qsvc.fit(kernel_matrix_train, self.label_train)
# testing
kernel_matrix_test = qkernel.evaluate(self.sample_test,
self.sample_train)
score = pegasos_qsvc.score(kernel_matrix_test, self.label_test)
self.assertEqual(score, 1.0)
def test_labels(self):
"""Test PegasosQSVC with different integer labels than {0, 1}"""
qkernel = QuantumKernel(feature_map=self.feature_map,
quantum_instance=self.statevector_simulator)
pegasos_qsvc = PegasosQSVC(quantum_kernel=qkernel,
C=1000,
num_steps=self.tau)
label_train_temp = self.label_train.copy()
label_train_temp[self.label_train == 0] = 2
label_train_temp[self.label_train == 1] = 3
label_test_temp = self.label_test.copy()
label_test_temp[self.label_test == 0] = 2
label_test_temp[self.label_test == 1] = 3
pegasos_qsvc.fit(self.sample_train, label_train_temp)
score = pegasos_qsvc.score(self.sample_test, label_test_temp)
self.assertEqual(score, 1.0)