There are 40 nodes that can be used as successor
for a node with an output port of type Weka 3.7 Classifier.
Simple RNN layer.
The Weka Predictor takes a model generated in a weka node and classifies the test data at the inport.
The Weka Predictor takes a model generated in a weka node and classifies the test data at the inport.
Writes a Weka classification model to a (zip) file.
Writes a weka classification model to a (zip) file.
Takes a trained weka model and writes the weka classifier to a file.
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.