IconSpark H2O MOJO Predictor (Classification)0 ×

KNIME Extension for MOJO nodes on Spark version 2.3.0.v201807060627 by KNIME AG, Zurich, Switzerland

This node applies a classification MOJO (binomial or multinomial) to an incoming Spark DataFrame/RDD.


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.

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.

Spark Settings

Upload MOJO dependency
If checked, the MOJO dependency (genmodel jar file) will be uploaded to the cluster. Otherwise depend on cluster side provided dependency.

Input Ports

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

Output Ports

Spark DataFrame/RDD containing the predicted class and, if selected, the individual class probabilities.

Update Site

To use this node in KNIME, install KNIME Extension for MOJO nodes on Spark from the following update site:

Wait a sec! You want to explore and install nodes even faster? We highly recommend our NodePit for KNIME extension for your KNIME Analytics Platform.