The two methods here are based on those should in Kuhn (2014). We start off by doing a small set of resamples for all of the grid points, then statistically testing to see which ones should be dropped or investigated more.
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Library ( tidymodels ) library ( finetune ) # Syntax very similar to `tune_grid()` or `tune_bayes()`: # - data ( two_class_dat, package = "modeldata" ) set.seed ( 1 ) rs % set_engine ( "klaR" ) # - set.seed ( 2 ) sa_res % tune_sim_anneal ( Class ~.
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