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H2O MOJO Predictor (Dimension Reduction)

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

This node applies a dimension reduction MOJO 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.

Dimension Reduction Settings

Dimension columns prefix
The prefix allows you to avoid duplicate column names. Can be empty.

Input Ports

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

Output Ports

Table containing the reduced input row.

Best Friends (Incoming)

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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