Data Science, Machine Learning, Time Series Forecasting, Lstm, Deep Learning.
fits to match the original time series fits = np.full(train_size, np.nan) for i in range(train_size-look_back): fits[i+look_back] = lstm_fits[i] # Plot actual, fits, and forecasts plt.figure(figsize=(10, 6)) plt.plot(date_range, ts_data, label='Actual', color='blue')