def predict(self, x_test):
"""Return the predicted labels for the testing data.
Args:
x_test: An instance of numpy.ndarray containing the testing data.
Returns:
A numpy.ndarray containing the predicted labels for the testing data.
"""
if Constant.LIMIT_MEMORY:
pass
x_test = self.preprocess(x_test)
test_loader = self.data_transformer.transform_test(x_test)
model = self.graph.produce_model()
model.eval()
output = Backend.predict(model, test_loader)
return self.inverse_transform_y(output)
def predict(self, test_loader):
model = self.best_model.produce_model()
model.eval()
return Backend.predict(model, test_loader)