0 ×

H2O MOJO Predictor (Cluster Assigner)

StreamableKNIME H2O Machine Learning Integration - MOJO Extension version 4.0.1.v201908131226 by KNIME AG

This node applies a clustering MOJO to an input dataset.


General Settings

Enforce presence of all feature columns
If checked, the node will fail, if any of the feature columns used for learning the MOJO is missing. Otherwise a warning will be displayed and the missing columns are treated as NA by the MOJO predictor.
Fail, if a prediction exception occurs
If checked, the node will fail, if the prediction of a row fails. Otherwise a missing value will be the output and a warning will be given.

Clustering Settings

Change cluster column name
Change the name of the cluster column.

Input Ports

The MOJO. Its model category must be clustering.
Table for prediction. Missing values will be treated as NA .

Output Ports

Table containing the assigned cluster.

Best Friends (Incoming)

Best Friends (Outgoing)


To use this node in KNIME, install KNIME H2O Machine Learning Integration - MOJO Extension from the following update site:

Wait a sec! You want to explore and install nodes even faster? We highly recommend our NodePit for KNIME extension for your KNIME Analytics Platform.


You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.