Hello,
I need to learn causal relationships from a dataset and then use it for new observations. If there is a failure, then use the causal relationships to determine the root cause of the failure. If there is no error, I would like to calculate the probabity of failure from each new observation using the causal relationships.
Is there any example?
Thank you in advance,
Mohammad
KNIME Analytics Platform is providing so-called Rule Engine nodes allowing to define your own rules to manipulate your data and to extract new features. I hope this helps, otherwise you have to be a little more specific about your problem.
I found this interesting article… not sure how to approach in KNIME at the moment but it may be of use to you: https://www.nature.com/articles/s43588-020-00005-8
