Ensemble Learning

This category contains 15 nodes.

Boosting Learner Loop End 

Loop end node for learning an ensemble model with boosting

Boosting Learner Loop Start 

Loop start node for learning an ensemble model with boosting

Boosting Predictor Loop End 

Loop end node for predicting a boosted ensemble model

Boosting Predictor Loop Start 

Loop start node for predicting a boosted ensemble model

Cell To Model 

Converts a single table cell into a model output.

Model Loop End 

Collects and combines all models provided during the loop iterations.

Model Loop Start 

Provides one model from the input table at a time to the output.

Model to Cell 

Converts a model input into a single table cell.

Prediction Fusion Streamable

Fuses multiple prediction confidences into one, combined prediction.