Simple ensemble

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 algorithm following tuning based on a chosen metric (note that the metric is defined when tuning the workflows, it can not be changed at this stage). The workflows are fitted to the full training dataset before making predictions.

Usage

simple_ensemble(...)

Arguments

...

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

Value

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