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MultiLayerPerceptron Predictor

StreamableKNIME Base Nodes version 4.2.3.v202011031328 by KNIME AG, Zurich, Switzerland

Based on a trained MultiLayerPerceptron-model given at the model inport of this node, the expected output values are computed. If the output variable is nominal, the output of each neuron and the class of the winner neuron are produced. Otherwise, the regression value is computed. Filter out missing values before using this node.

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 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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Trained MLP Neural Network
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Datatable with test data to classify

Output Ports

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Datatable with classified data

Best Friends (Incoming)

Best Friends (Outgoing)

Workflows

Installation

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

KNIME 4.2

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

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Developers

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