LordRudolf

Currently, the bayesian optimization uses gaussian process as the surrogate model. The research shows that random forest underlying process ahcieves fastest convergence: http://ceur-ws.org/Vol-1201/paper-06.pdf

caret xgb na.action=na.pass does not work while using recipes

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The same dataset with an NA value does not work with caret-recipes pipeline whereas the single caret does not cause any issues. ``` r library(caret) #> Loading required package: lattice...