There are 59 nodes that can be used as successor
for a node with an output port of type MOJO.
Applies a dimension reduction MOJO to input data.
Detects anomalies/outliers in input data according to a MOJO.
Predicts input data by regression using a MOJO.
Applies a word embedding MOJO to input data.
Writes out MOJOs.
Writes out MOJOs.
The loop end node for an active learning loop.
The loop start node for an active learning loop.
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.