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

: PMML Model
: Data to be predicted.

Output Ports

: 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:

v5.3

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

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 5.3.0.v202312081534

On NodePit since: 2024-07-09

Last update: 2024-11-15

KNIME versions: Since v3.7

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