scat_fda_bt: Tuned flexible discriminant analysis results

In shinymodels: Interactive Assessments of Models

Description

This object has the results when a flexible discriminant analysis model was tuned over the interaction degree parameters.

Details

To reduce the object size, five bootstraps were used for resampling and missing data were removed.

The code used to produce this object:

  library(tidymodels)
  library(discrim)
  tidymodels_prefer()

  # ------------------------------------------------------------------------------

  ctrl_gr <- control_grid(save_pred = TRUE)

  # ------------------------------------------------------------------------------

  data(scat)
  scat <- scat[complete.cases(scat), ]

  # ------------------------------------------------------------------------------

  set.seed(1)
  scat_rs <- bootstraps(scat, times = 5)

  scat_fda_bt <-
    discrim_flexible(prod_degree = tune()) %>%
    tune_grid(
      Species ~ .,
      resamples = scat_rs,
      control = ctrl_gr
    )

Value

An object with primary class tune_results.

shinymodels documentation built on Nov. 18, 2021, 1:12 a.m.