neural_prophet_6.py

# prepping the DataFrame
df_test['prophet'] = preds_df_1.iloc[-test_length:].loc[:, 'yhat']
df_test['neural_prophet'] = preds_df_2.iloc[-test_length:].loc[:, 'yhat1']
df_test.set_index('ds', inplace=True)

print('MSE comparison ----')
print(f"Prophet:\t{mean_squared_error(df_test['y'], preds_df_1.iloc[-test_length:]['yhat']):.4f}")
print(f"NeuralProphet:\t{mean_squared_error(df_test['y'], preds_df_2.iloc[-test_length:]['yhat1']):.4f}")

df_test.plot(title='Forecast evaluation');