Hi @Corey,
Thank you for suggesting the SARIMA Learner node.
I have another question:
I noticed that the PMML Writer node does not connect to any of the ARIMA nodes. How can we use our trained model to forecast future values on new data?
Also, I took a look at the Python Learner errors in the scripts and they refer to the ‘i_out’, ‘j_out’, and ‘k_out’ variables not being defined earlier in the script. I defined them using i_out = 0, but got another error: output_model is not defined.
Lastly, none of the examples on the Hub show how to predict future values (using the predict() function on the [ARIMAResults] object to make predictions. Since the existing examples use the broken components, I cannot see how this is done (for example referencing this workflow: Accessing, Transforming and Modeling Time Series – KNIME Hub).
Can you please point me to some examples that show predictions on future values vs. just the training set? Or, if there are none, what can be done with the Python Leaner script to get the components working again?
Many thanks for any help you can provide.