Snowflake H2O MOJO Predictor (Dimension Reduction)

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

Options

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

This node has no views

You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.

To use this node in KNIME, install the extension KNIME H2O Snowflake Integration from the below update site following our NodePit Product and Node Installation Guide:

v5.3

A zipped version of the software site can be downloaded here.

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 5.3.0.v202312081535

On NodePit since: 2024-07-09

Last update: 2024-11-15

KNIME versions: Since v4.5

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.