KNIME Extension for Apache Spark core infrastructure version 2.4.0.v201811301556 by KNIME AG, Zurich, Switzerland
Note: GBTs do not yet support multiclass classification. The class column needs to contain 0 and 1 as class labels. For multiclass problems, please use decision trees or Random Forests.
Please note that all data must be numeric, including the label column which needs to contain 0 and 1. Use the Spark Category To Number nodes to convert nominal values to numeric columns. The mapping dictionary of the converter node is the input of the second in port of this node.
Use the Spark Predictor node to apply the learned model to unseen data.
To use this node in KNIME, install KNIME Extension for Apache Spark core infrastructure from the following update site:
Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to firstname.lastname@example.org, follow @NodePit on Twitter, or chat on Gitter!
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.