Data Science, Machine Learning, Time Series Forecasting, Lstm, Deep Learning.
{one_r2*100:.2f}%\nMAPE = {one_mape*100:.2f}%', transform=plt.gca().transAxes, fontsize=12) plt.grid(True) plt.show() plt.figure(figsize=(10, 6)) plt.plot(date_range, ts_data, label='Actual', color='blue') plt.plot(date_range[n_steps_in+n_steps_out-1:train_size], fits12, label='Fitted',