Data Science, Machine Learning, Time Series Forecasting, Lstm, Deep Learning.
i in range(lstm_fitted.shape[1]+n_steps_in - 1, -lstm_fitted.shape[0], -1)] forecasts1 = lstm_predictions[n_steps_out-1:,0] fits1 = model.predict(X)[:train_size-n_steps_in,0] forecasts12 = lstm_predictions[:,n_steps_out-1] fits12 = lstm_fitted[:,n_steps_out-1] # Metrics av_mape =