I'm using the Tree Ensamble Learner (Regression) node in the KNIME Labs repo and, in contrast with the similar classification node, I'm experiencing an odd behavior. I'm trying to set it to predict a response using a fingerprint bit vector column.
If in the input table are present only the response and the fingerprint columns the node configure dialog cannot be opened and the following message is obtained:
The dialog cannot be opened for the following reason: No column in spec compatible to "NominalValue" or "DoubleValue".
Anyway (oddly) the node can be executed (supposedly using the default configuration).
However if there is even a single one more column in the input table, than the node configure dialog can be opened and properly configured.
Please can anybody reproduce this behavior and/or confirm it is a bug?
Thanks in advance,