H2O Driverless AI MOJO Predictor (Classification)
StreamableKNIME H2O Driverless AI Integration version 1.0.0.v202011111327 by KNIME AG
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.
Input Ports
- The Driverless AI MOJO. It must be of type classification.
- Table for prediction. Missing values will be treated as NA .
Output Ports
- Table containing the predicted probabilities and, if selected, the class with the highest probability.
Workflows
09_H2O_DriverlessAI_Example (KNIME Hub) - 10_H2O_DriverlessAI_CreditCard (KNIME Hub)
Installation
To use this node in KNIME, install KNIME H2O Driverless AI Integration from the following update site:
You don't know what to do with this link? Read our NodePit Product and Node Installation Guide that explains you in detail how to install nodes to your KNIME Analytics Platform.
Developers
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