DL4J Feedforward Predictor (Regression)

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)'.

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Workflows

• 10_Simple_Regression_Of_Simple_FunctionsKNIME Hub
• 11_Housing_Value_Prediction_Using_RegressionKNIME Hub
• M14.1KNIME Forum
• multioutputKNIME Forum

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