0 ×

DL4J Feedforward Predictor (Regression)

KNIME Deeplearning4J Integration version 4.1.0.v201908271557 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

Regression Deep Learning Model.
Data table containing testing data.

Output Ports

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 4.1
Wait a sec! You want to explore and install nodes even faster? We highly recommend our NodePit for KNIME extension for your KNIME Analytics Platform.

Developers

You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.