There are 35 nodes that can be used as successor for a node with an output port of type Spark MLlib Model.
Simple RNN layer.
Simple RNN layer.
Assigns data to a set of prototypes.
Converts supported Spark MLlib models to PMML model.
Predicts input data based on a previously learned Spark MLlib model (e.g. decision tree).
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..
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