I am trying to do a time series prediction using a long short term memory (LSTM) network. Knime has a deep learning node known as DL4J for regression (see image below), but I would like to know if there is any other way that I can do a time series prediction using an LSTM network. I tried inserting an LSTM layer in the workflow but it didn’t work.
The examples that I found in Knime for LSTM are used for word prediction. I appreciate if someone can help me with this. Thanks.