DL4J Feedforward Predictor (Classification)

This node creates a classification prediction using the supplied network and test data. The node is intended to be used with the DL4J Feedforward Learner (Classification) node. The output is a column containing the predicted class value for each example in the input table. If specified, additional columns containing the the probability for each class value will be appended.


Change prediction column name?
Whether to change the name of the prediction column. If so enter the new name into the text box.
Append columns with class probabilities?
Whether to append columns containing probabilities for each individual class value.
Probability Column Suffix
Suffix for the probability columns. Their names are like: P(trainingColumn=value).

Input Ports

Classification Deep Learning Model.
Data table containing testing data.

Output Ports

Input data with prediction columns.


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