There are 35 nodes that can be used as successor
for a node with an output port of type Fingerprint Bayes.
Simple RNN layer.
The loop end node for an active learning loop.
The loop start node for an active learning loop.
Run R code with a pre-trained R model on a Microsoft SQL Server in a database.
Merges two or more branches with arbitrary models which were initially created by an IF or CASE Switch Node.
Model (or generic port) CASE Switch to alter active branch for arbitrary port types..
End of Try-Catch construct. Use second input if execution leading to first input failed.
Predictor to the Fingerprint Bayesian Learner node, assigning score values to test data.
Compares the two input models.
Writes generic port objects to a file.