Snowflake H2O MOJO Predictor (Dimension Reduction)

This node applies a dimension reduction MOJO to an incoming Snowflake connection.

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.

Treat unknown categorical values as missing values

By default, H2O does not handle the case that a categorical feature column contains a value that was not present during model training. If this option is enabled, H2O will convert these values to NA, i.e. treat them as missing values. If this option is disabled, the node will either fail or missing values will be in the output depending on the setting "Fail if a prediction exception occurs".

Dimension Reduction Settings

Dimension columns prefix

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

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