Spark H2O MOJO Predictor (Classification)

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

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.

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.

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