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H2O Driverless AI MOJO Predictor (Regression)

StreamableKNIME H2O Driverless AI Integration version 1.0.0.v202011111327 by KNIME AG

This node applies an H2O Driverless AI MOJO of type regression to an input dataset.

Note that a valid Driverless AI license is required in order to execute this node. The license file can either be set in the preferences or by setting the proper environment variable or system property (system properties can be set in the knime.ini file in the root directory of the KNIME installation). See the license specification section in this guide for details.


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.

Regression Settings

Change prediction column name
Change the name of the prediction column.

Input Ports

The Driverless AI MOJO. It must be of type regression.
Table for prediction. Missing values will be treated as NA .

Output Ports

Table containing the predicted value.


To use this node in KNIME, install KNIME H2O Driverless AI Integration from the following update site:


A zipped version of the software site can be downloaded here.

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