Data Science, Machine Learning, Time Series Forecasting, Lstm, Deep Learning.
i in range(n_samples): # find the end of this pattern end_ix = i + n_steps_in out_end_ix = end_ix + n_steps_out # gather input and output parts of the pattern seq_x, seq_y = sequences[i:end_ix], sequences[end_ix:out_end_ix] X.append(seq_x) y.append(seq_y) return np.array(X), np.array(y),