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A simple ensemble is a collection of workflows for which predictions will be combined in a simple way (e.g. by taking either the mean or median). Usually these workflows will consists each of the best version of a given model type following turning. The workflows are fitted to the full training dataset before making predictions.





not used, this function just creates an empty simple_ensemble object. Members are added with add_best_candidates()


an empty simple_ensemble. This is a tibble with columns:

  • wflow_id: the name of the workflows for which the best model was chosen

  • workflow: the trained workflow objects

  • metrics: metrics based on the crossvalidation resampling used to tune the models