def create_loss_distribution(self, name, signal_id=1, file_name=''):
test_bgs_data, test_signal_data = self.load_test_data(signal_id=signal_id)
predict_bgs_test = self.predict(test_bgs_data)
predict_signal_test = self.predict(test_signal_data)
test_bgs_distribution = model_utils.loss_distribution(test_bgs_data,
predict_bgs_test)
test_signal_distribution = model_utils.loss_distribution(test_signal_data,
predict_signal_test)
model_utils.plot_histogram(test_bgs_distribution.numpy(), test_signal_distribution.numpy(), name, file_name=file_name)
def create_loss_distribution(self, name, m_5=6000, k=1000, file_name=''):
test_bgs_data, test_signal_data = self.load_test_data(m_5=m_5, k=k)
predict_bgs_test = self.predict(test_bgs_data)
predict_signal_test = self.predict(test_signal_data)
test_bgs_distribution = model_utils.loss_distribution(test_bgs_data,
predict_bgs_test.reshape(test_bgs_data.shape))
test_signal_distribution = model_utils.loss_distribution(test_signal_data,
predict_signal_test.reshape(test_signal_data.shape))
model_utils.plot_histogram(test_bgs_distribution.numpy(),
test_signal_distribution.numpy(),
name,
file_name=file_name)