Node Connectivity
There are 39 nodes that can be used as successor
for a node with an output port of type 
Tree Ensemble.
Tree Ensemble Predictor (Regression) StreamableModern UI
Applies regression from a tree ensemble model by using the mean of the individual predictions.
Random Forest Distance
Creates a distance measure based on the proximity induced by the given random forest model.
Tree Ensemble Model Extract
Extracts individual decision trees from a tree ensemble model.
Tree Ensemble Statistics
Provides basic statistics on the ensemble and its trees
Boosting Learner Loop End Modern UI
Loop end node for learning an ensemble model with boosting.
Model Loop End
Collects and combines all models provided during the loop iterations.
Model to Cell Modern UI
Converts a model input into a single table cell.
Keras Convolutional LSTM 2D Layer
2D Convolutional Long-Short Term Memory (LSTM) layer.
Keras Convolutional LSTM 2D Layer Deprecated
2D Convolutional Long-Short Term Memory (LSTM) layer.
Keras CuDNN GRU Layer
Fast GRU implementation backed by CuDNN.