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DL4J Feedforward Predictor (Regression)

KNIME Deeplearning4J Integration version 4.3.1.v202101261633 by KNIME AG, Zurich, Switzerland

This node creates a regression prediction using the supplied network and test data. The node is intended to be used with the DL4J Feedforward Learner (Regression) node. The output is a column for each target feature containing the predicted value.

Options

Change prediction column/s name?
Allows to change the name of the prediction column/s. Here you can enter a pattern specifying the new name of the prediction column. The pattern needs to contain '$1' which will be replaced by the corresponding column name. E.g. if there are two target columns with the names 't1' and 't2' the pattern 'Prediction ($1)' will evaluate to the column names 'Prediction (t1)' and 'Prediction (t2)'.

Input Ports

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Regression Deep Learning Model.
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Data table containing testing data.

Output Ports

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Input data with prediction columns.

Best Friends (Incoming)

Best Friends (Outgoing)

Workflows

Installation

To use this node in KNIME, install KNIME Deeplearning4J Integration (64bit only) from the following update site:

KNIME 4.3

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

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Developers

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