Gradient Boosted Trees Predictor (Regression)

Applies regression from a Gradient Boosted Trees model. The implementation follows the algorithms described in "Greedy Function Approximation: A Gradient Boosting Machine" by Jerome H. Friedman (1999)". For more information you can also take a look at this .

Options

Change prediction column name: Check this option if you want to use a custom name for the column containing the prediction
Prediction column name: Name of the output column containing the prediction.

Input Ports

: Gradient Boosted Trees model as produced by Gradient Boosted Trees Learner (Regression) node.
: The data to predict

Output Ports

: The predicted data

Popular Predecessors

Popular Successors

Views

This node has no views

Workflows

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 Ensemble Learning Wrappers from the below update site following our NodePit Product and Node Installation Guide:

v5.4

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

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 5.4.0.v202407231409

On NodePit since: 2024-12-06

Last update: 2024-12-31

Tags: Streamable

KNIME versions: Since v3.6

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

Try NodePit Runner!