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Compiled Model Predictor

PMML to Java Compiler and Predictor version 4.1.0.v201911110943 by KNIME AG, Zurich, Switzerland

This node takes the bytecode produced by a PMML Compiler and runs it on the given data. Doing the scoring with precompiled models can be significantly faster than using the default nodes. Especially decision trees and small SVMs benefit from this.

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 is: Prediction (trainingColumn).)
Append columns with normalized class distribution
Shows the normalized class distribution for each prediction (If applicable, eg for classification models).
Suffix for probability columns
Suffix for the normalized distribution columns. Their names are like: P (trainingColumn=value).

Input Ports

The code generated from a PMML model
The data to be scored

Output Ports

The scored data

Best Friends (Incoming)

Best Friends (Outgoing)

Workflows

Installation

To use this node in KNIME, install KNIME Extension for Apache Spark from the following update site:

KNIME 4.1
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Developers

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