There are 30 nodes that can be used as successor for a node with an output port of type.
Writes KNIME model port objects to a file.
A sunburst chart based on the d3.js library.
Loop end node for learning an ensemble model with boosting
Collects and combines all models provided during the loop iterations.
Converts a model input into a single table cell.
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.
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