There are 37 nodes that can be used as successor
for a node with an output port of type Arima.
Simple RNN layer.
The loop end node for an active learning loop.
The loop start node for an active learning loop.
Extracts parameters from ARIMA Port Object and returns them as a table.
Computes predictions from estimated ARIMA model.
Shows the ARIMA model in a line plot with prediction to the future.
Run R code with a pre-trained R model on a Microsoft SQL Server in a database.
Merges two or more branches with arbitrary models which were initially created by an IF or CASE Switch Node.
Model (or generic port) CASE Switch to alter active branch for arbitrary port types..
End of Try-Catch construct. Use second input if execution leading to first input failed.