There are 57 nodes that can be used as successor for a node with an output port of type MOJO.
Assigns cluster to input data according to a 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.
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