没有适用于 'extract_parameter_set_dials' 的方法应用于 class "workflow" 的对象

Question

继优秀书籍 Tidy modeling with R、Section 14.1 之后，作者介绍了 SVM 模型超参数调整的案例：

library(tidymodels)
tidymodels_prefer()
data(cells, package = "modeldata")
cells <- cells[, -1] # remove case column

svm_rec <- 
  recipe(class ~ ., data = cells) %>%
  step_YeoJohnson(all_numeric_predictors()) %>%
  step_normalize(all_numeric_predictors())

svm_spec <- 
  svm_rbf(cost = tune(), rbf_sigma = tune()) %>% 
  set_engine("kernlab") %>% 
  set_mode("classification")

svm_wflow <- 
  workflow() %>% 
  add_model(svm_spec) %>% 
  add_recipe(svm_rec)

之后，他们说明了如何更改内核参数范围，以改进搜索的可视化：

svm_param <- 
  svm_wflow %>% 
  extract_parameter_set_dials() %>% 
  update(rbf_sigma = rbf_sigma(c(-7, -1)))

但这会导致错误：

Error in UseMethod("extract_parameter_set_dials") : 
  no applicable method for 'extract_parameter_set_dials' applied to an object of class "workflow"

这是因为 tidymodels 框架的更新吗？提取和修改超参数范围的正确方法是什么？

Answer 1

tidymodels packages recently had releases of dials 和添加此新通用的其他包（如工作流）：

library(tidymodels)
tidymodels_prefer()
data(cells, package = "modeldata")
cells <- cells[, -1] # minus case

svm_rec <- recipe(class ~ ., data = cells) |> 
    step_YeoJohnson(all_numeric_predictors()) |> 
    step_normalize(all_numeric_predictors())

svm_spec <- svm_rbf(cost = tune(), rbf_sigma = tune()) |> 
    set_engine("kernlab") |> 
    set_mode("classification")

svm_wflow <- workflow() |> 
    add_model(svm_spec) |> 
    add_recipe(svm_rec)

svm_wflow |> 
    extract_parameter_set_dials() |>
    update(rbf_sigma = rbf_sigma(c(-7, -1)))
#> Collection of 2 parameters for tuning
#> 
#>  identifier      type    object
#>        cost      cost nparam[+]
#>   rbf_sigma rbf_sigma nparam[+]

^{由 reprex package (v2.0.1)}

于 2022-04-02 创建

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