This brick is designed to generate predictions for the trained model using an arbitrary dataset. You can either use historical data and check the model performance or create predictions for unlabeled data, in that case, there are no variables to calculate the metrics against.


The only things necessary to run this brick are the trained model and suitable format dataset.