SVM Predictor

This node uses a SVM model generated by the SVM learner node to predict the output for given values. Only the columns that have been used during training are used in the SVM learner. The output table will contain one extra column, which contains the prediction and optinally the class probabilities.

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 Class Columns
Append class probability columns.
Suffix for probability columns
Suffix for the normalized distribution columns. Their names are like: P (trainingColumn=value).

Input Ports

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The model generated by the SVM Learner
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Inport for the input table

Output Ports

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The input table, with (the class probabilities and) the prediction column appended to it.

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Installation

To use this node in KNIME, install the extension KNIME Base nodes 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: 5.3.3.v202410291553
On NodePit since: 2024-07-09
Last update: 2024-11-21
Tags: Streamable
KNIME versions: Since v3.6

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