I’m new to Knime and this is my first workflow. I am trying to recreate an ARIMA model I’ve developed using Python before.
I have a time series dataset in CSV and I need to predict each column separately.
the dataset looks like this. each column is a separate time-series.
I used the following workflow to loop through each column and train an Auto arima model.
however after training for one column when the loop goes to the next one, the auto arima node gives an error
WARN Column Selection Configuration 0:117:0:368 Column '11612425231' is not part of the table spec anymore.
also i noticed that when configuring the auto arima node it chooses only one column as the target column and doesnt change it according to the loop