tune_bayes(), etc) have been reordered to better align with parsnip’s
fit(). The first argument to all these functions is now a model specification or model workflow. The previous versions are soft-deprecated as of 0.1.0 and will be deprecated as of 0.1.2.
collect_predictions() gains two new arguments.
parameters allows for pre-filtering of the hold-out predictions by tuning parameters values. If you are only interested in one sub-model, this makes things much faster. The other option is
summarize and is used when the resampling method has training set rows that are predicted in multiple holdout sets.
select_by_pct_loss() no longer have a redundant
maximize argument (#176). Each metric set in yardstick now has a direction (maximize vs. minimize) built in.