This node is currently not available in KNIME v5.3 — instead we’re showing this page for KNIME v3.7. You can use the version menu in the title bar to permanently switch your preferred version. This will also show the link to the update site.

Spark Decision Tree Learner

This node applies the Apache Spark Decision / Regression Tree algorithm.

Please note that all data must be numeric, including the label column for classification tasks. 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.

Options

Max number of bins: Maximum number of bins used for discretizing continuous features and for choosing how to split on features at each node.
Max depth: Maximum depth of the tree (>= 0).
Is classification: Indicates whether this is a classification or a regression task.
Quality measure: Criterion used for information gain calculation. Available methods: "gini" (recommended) or "entropy". For more details on the available methods see the MLlib documentation.
Class column: The classification column. Must be numeric.
Feature Columns: The feature columns to learn the model from. Supports only numeric columns.

Input Ports

: Input Spark DataFrame/RDD
: PMML with the nominal values mapping dictionary

Output Ports

: Spark MLlib Decision Tree Model

Popular Predecessors

Popular Successors

Views

This node has no views

Workflows

No workflows found

Developers

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.

Installation

To use this node in KNIME, install the extension KNIME Extension for Apache Spark from the below update site following our NodePit Product and Node Installation Guide:

v3.7

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

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 2.4.0.v201811301556

On NodePit since: 2018-08-10

Last update: 2024-10-31

KNIME versions: From v3.6 to v3.7

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

Try NodePit Runner!