Showing content from http://cran.rstudio.com/web/packages/rJava/../CirceR/../rmarkdown/../tidypredict/vignettes/cubist.R below:
## ----setup, include = FALSE--------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) library(tidypredict) library(Cubist) library(dplyr) ## ----------------------------------------------------------------------------- library(Cubist) data("BostonHousing", package = "mlbench") model <- Cubist::cubist(x = BostonHousing[, -14], y = BostonHousing$medv, committees = 3) ## ----------------------------------------------------------------------------- tidypredict_fit(model) ## ----------------------------------------------------------------------------- tidypredict_sql(model, dbplyr::simulate_odbc()) ## ----------------------------------------------------------------------------- library(dplyr) BostonHousing %>% tidypredict_to_column(model) %>% glimpse() ## ----------------------------------------------------------------------------- tidypredict_test(model, BostonHousing) ## ----------------------------------------------------------------------------- pm <- parse_model(model) str(pm, 2) ## ----------------------------------------------------------------------------- str(pm$terms[1:2])
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