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H2O MOJO Predictor (Classification)

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

This node applies a classification MOJO (binomial or multinomial) to an input dataset.

Options

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.

Classification Settings

Change prediction column name
Change the name of the prediction column.
Append individual class probabilities
Select to append the class probabilities of each class to the table. Useful for scoring models.
Suffix for probability columns
If class probabilities are appended, the suffix allows you to avoid duplicate column names. Can be empty.

Input Ports

The MOJO. Its model category must be either binomial or multinomial.
Table for prediction. Missing values will be treated as NA .

Output Ports

Table containing the predicted class and, if selected, the individual class probabilities.

Best Friends (Incoming)

Best Friends (Outgoing)

Installation

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

KNIME 4.0
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