PMML Predictor

Can predict the following PMML models: ClusteringModel, GeneralRegressionModel, RegressionModel, TreeModel , RegressionTreeModel (Simple Regression Tree), GradientBoostingModel (Gradient Boosted Trees), SupportVectorMachineModel and NeuralNetwork

Options

Change prediction column name
When set, you can change the name of the prediction column.
Prediction Column
The possibly overridden column name for the predicted column. (The default depends on the model)
Append probability value column per class instance
When classification is done and this option is set, the class probabilities are appended.
Suffix for probability columns
Suffix for the normalized distribution columns. Their names are like: P (trainingColumn=value).

Input Ports

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PMML Model
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Data to be predicted.

Output Ports

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Data with assigned prediction.

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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: 2024-12-17
KNIME versions: Since v3.7

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