H2O Driverless AI MOJO Predictor (Classification)

This node applies an H2O Driverless AI MOJO of type classification (binomial or multinomial) 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.

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.

Classification Settings

Suffix for probability columns

Specify the suffix for the probability columns. This allows you to avoid duplicate column names. Can be empty.

Append prediction column containing the class with highest probability

Select to append a column to the table that contains the class which has the highest probability. For binomial classification, this is the class with probability > 0.5.

Change prediction column name

Change the name of the prediction column.

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Workflows

• 09_H2O_DriverlessAI_ExampleKNIME Hub
• 10_H2O_DriverlessAI_CreditCardKNIME Hub

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