Node Connectivity

There are 43 nodes that can be used as successor for a node with an output port of type Tree Ensemble.

Random Forest Predictor (Regression) StreamableModern UI

Applies regression from a random forest model by using the mean of the individual predictions.

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 

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 

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.