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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.


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

Regression Deep Learning Model.
Data table containing testing data.

Output Ports

Input data with prediction columns.

Best Friends (Incoming)

Best Friends (Outgoing)



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


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

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