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SVM Predictor

StreamableKNIME Base Nodes version 4.0.2.v201909251340 by KNIME AG, Zurich, Switzerland

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

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

Output Ports

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

Best Friends (Incoming)

Best Friends (Outgoing)

Workflows

Installation

To use this node in KNIME, install KNIME Core from the following update site:

KNIME 4.0
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Developers

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