Data Science, Machine Learning, Time Series Forecasting, Lstm, Deep Learning.
results: n_samples = 12 train_size = 321 X_train, y_train, X_test, X_forecast, n_steps_in, n_steps_out = split_sequences_comparable(ts_data, n_samples, train_size) y_test = ts_data[train_size:] # Reshaping X_train = X_train.reshape(X_train.shape[0], X_train.shape[1], 1) X_test =