没有适用于 'prep' 的方法应用于 class 的 object
no applicable method for 'prep' applied to an object of class
我正在构建自定义 recipes 函数，当我尝试 prep() 配方时出现错误。我收到以下错误：
> prep(rec_obj)
Error in UseMethod("prep") :
no applicable method for 'prep' applied to an object of class "c('step_hai_hyperbolic', 'step')"
当我将 prep.step_hai_hyperbolic() 作为函数加载到全局环境中，以便它显示在 RStudio 的环境区域中时，prep() 就可以正常工作了。
这是整个函数和一个例子：
step_hai_hyperbolic <- function(recipe,
...,
role = "predictor",
trained = FALSE,
columns = NULL,
scale_type = c("sin","cos","tan"),
skip = FALSE,
id = rand_id("hai_hyperbolic")
){
terms <- recipes::ellipse_check(...)
funcs <- c("sin", "cos", "tan")
if (!(scale_type %in% funcs))
rlang::abort("`func` should be either `sin`, `cos`, or `tan`")
recipes::add_step(
recipe,
step_hai_hyperbolic_new(
terms = terms,
role = role,
trained = trained,
columns = columns,
scale_type = scale_type,
skip = skip,
id = id
)
)
}
step_hai_hyperbolic_new <-
function(terms, role, trained, columns, scale_type, skip, id){
recipes::step(
subclass = "hai_hyperbolic",
terms = terms,
role = role,
trained = trained,
columns = columns,
scale_type = scale_type,
skip = skip,
id = id
)
}
#' @export
prep.step_hai_hyperbolic <- function(x, training, info = NULL, ...) {
#col_names <- recipes::recipes_eval_select(x$terms, training, info = info)
col_names <- recipes::recipes_eval_select(x$terms, training, info)
value_data <- info[info$variable %in% col_names, ]
if(any(value_data$type != "numeric")){
rlang::abort(
paste0("All variables for `step_hai_hyperbolic` must be `numeric`",
"`integer` `double` classes.")
)
}
step_hai_hyperbolic_new(
terms = x$terms,
role = x$role,
trained = TRUE,
columns = col_names,
scale_type = x$scale_type,
skip = x$skip,
id = x$id
)
}
#' @export
bake.step_hai_hyperbolic <- function(object, new_data, ...){
make_call <- function(col, scale_type){
rlang::call2(
"hai_hyperbolic_vec",
x = rlang::sym(col)
, .scale_type = scale_type
, .ns = "healthyR.ai"
)
}
grid <- expand.grid(
col = object$columns
, scale_type = object$scale_type
, stringsAsFactors = FALSE
)
calls <- purrr::pmap(.l = list(grid$col, grid$scale_type), make_call)
# Column Names
newname <- paste0(grid$col, "_", grid$scale_type)
calls <- recipes::check_name(calls, new_data, object, newname, TRUE)
tibble::as_tibble(dplyr::mutate(new_data, !!!calls))
}
#' @export
print.step_hai_hyperbolic <-
function(x, width = max(20, options()$width - 35), ...) {
cat("Hyperbolic transformation on ", sep = "")
printer(
# Names before prep (could be selectors)
untr_obj = x$terms,
# Names after prep:
tr_obj = names(x$columns),
# Has it been prepped?
trained = x$trained,
# An estimate of how many characters to print on a line:
width = width
)
invisible(x)
}
#' @rdname required_pkgs.healthyR.ai
#' @export
required_pkgs.step_hai_hyperbolic <- function(x, ...) {
c("healthyR.ai")
}
这是一个示例，说明在没有将所有内容都加载到当前 session 环境的情况下它无法工作：
library(tidyverse)
library(tidymodels)
library(healthyR.ai)
len_out = 10
by_unit = "month"
start_date = as.Date("2021-01-01")
data_tbl <- tibble(
date_col = seq.Date(from = start_date, length.out = len_out, by = by_unit),
a = rnorm(len_out),
b = runif(len_out)
)
rec_obj <- recipe(a ~., data = data_tbl) %>%
step_hai_hyperbolic(b, scale_type = "sin") %>%
step_hai_hyperbolic(b, scale_type = "cos")
rec_obj 到控制台的输出：
> rec_obj
Recipe
Inputs:
role #variables
outcome 1
predictor 2
Operations:
Hyperbolic transformation on b
Hyperbolic transformation on b
准备时的错误：
> prep(rec_obj)
Error in UseMethod("prep") :
no applicable method for 'prep' applied to an object of class "c('step_hai_hyperbolic', 'step')"
Session 信息：
> sessioninfo::session_info()
- Session info ----------------------------------------------------------------------------------
hash: credit card, keyboard, flag: South Africa
setting value
version R version 4.1.0 (2021-05-18)
os Windows 10 x64 (build 19042)
system x86_64, mingw32
ui RStudio
language (EN)
collate English_United States.1252
ctype English_United States.1252
tz America/New_York
date 2021-11-05
rstudio 1.4.1717 Juliet Rose (desktop)
pandoc NA
- Packages ---------------------------------------------------------------------------------------
package * version date (UTC) lib source
assertthat 0.2.1 2019-03-21 [1] CRAN (R 4.1.0)
backports 1.3.0 2021-10-27 [1] CRAN (R 4.1.1)
broom * 0.7.10 2021-10-31 [1] CRAN (R 4.1.1)
cellranger 1.1.0 2016-07-27 [1] CRAN (R 4.1.0)
class 7.3-19 2021-05-03 [2] CRAN (R 4.1.0)
cli 3.1.0 2021-10-27 [1] CRAN (R 4.1.0)
codetools 0.2-18 2020-11-04 [2] CRAN (R 4.1.0)
colorspace 2.0-2 2021-06-24 [1] CRAN (R 4.1.0)
crayon 1.4.2 2021-10-29 [1] CRAN (R 4.1.1)
DBI 1.1.1 2021-01-15 [1] CRAN (R 4.1.0)
dbplyr 2.1.1 2021-04-06 [1] CRAN (R 4.1.0)
dials * 0.0.10 2021-09-10 [1] CRAN (R 4.1.0)
DiceDesign 1.9 2021-02-13 [1] CRAN (R 4.1.0)
digest 0.6.28 2021-09-23 [1] CRAN (R 4.1.1)
dplyr * 1.0.7 2021-06-18 [1] CRAN (R 4.1.0)
ellipsis 0.3.2 2021-04-29 [1] CRAN (R 4.1.0)
fansi 0.5.0 2021-05-25 [1] CRAN (R 4.1.0)
forcats * 0.5.1 2021-01-27 [1] CRAN (R 4.1.0)
foreach 1.5.1 2020-10-15 [1] CRAN (R 4.1.0)
fs 1.5.0 2020-07-31 [1] CRAN (R 4.1.0)
furrr 0.2.3 2021-06-25 [1] CRAN (R 4.1.0)
future 1.23.0 2021-10-31 [1] CRAN (R 4.1.1)
future.apply 1.8.1 2021-08-10 [1] CRAN (R 4.1.0)
generics 0.1.1 2021-10-25 [1] CRAN (R 4.1.0)
ggplot2 * 3.3.5 2021-06-25 [1] CRAN (R 4.1.0)
globals 0.14.0 2020-11-22 [1] CRAN (R 4.1.0)
glue 1.4.2 2020-08-27 [1] CRAN (R 4.1.0)
gower 0.2.2 2020-06-23 [1] CRAN (R 4.1.0)
GPfit 1.0-8 2019-02-08 [1] CRAN (R 4.1.0)
gtable 0.3.0 2019-03-25 [1] CRAN (R 4.1.0)
hardhat 0.1.6 2021-07-14 [1] CRAN (R 4.1.0)
haven 2.4.3 2021-08-04 [1] CRAN (R 4.1.0)
healthyR.ai * 0.0.2.9000 2021-11-05 [1] local
hms 1.1.1 2021-09-26 [1] CRAN (R 4.1.0)
httr 1.4.2 2020-07-20 [1] CRAN (R 4.1.0)
infer * 1.0.0 2021-08-13 [1] CRAN (R 4.1.0)
ipred 0.9-12 2021-09-15 [1] CRAN (R 4.1.0)
iterators 1.0.13 2020-10-15 [1] CRAN (R 4.1.0)
jsonlite 1.7.2 2020-12-09 [1] CRAN (R 4.1.0)
lattice 0.20-44 2021-05-02 [2] CRAN (R 4.1.0)
lava 1.6.10 2021-09-02 [1] CRAN (R 4.1.0)
lhs 1.1.3 2021-09-08 [1] CRAN (R 4.1.0)
lifecycle 1.0.1 2021-09-24 [1] CRAN (R 4.1.0)
listenv 0.8.0 2019-12-05 [1] CRAN (R 4.1.0)
lubridate 1.8.0 2021-10-07 [1] CRAN (R 4.1.1)
magrittr 2.0.1 2020-11-17 [1] CRAN (R 4.1.0)
MASS 7.3-54 2021-05-03 [2] CRAN (R 4.1.0)
Matrix 1.3-4 2021-06-01 [1] CRAN (R 4.1.0)
modeldata * 0.1.1 2021-07-14 [1] CRAN (R 4.1.0)
modelr 0.1.8 2020-05-19 [1] CRAN (R 4.1.0)
munsell 0.5.0 2018-06-12 [1] CRAN (R 4.1.0)
nnet 7.3-16 2021-05-03 [2] CRAN (R 4.1.0)
parallelly 1.28.1 2021-09-09 [1] CRAN (R 4.1.1)
parsnip * 0.1.7 2021-07-21 [1] CRAN (R 4.1.0)
pillar 1.6.4 2021-10-18 [1] CRAN (R 4.1.0)
pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.1.0)
plyr 1.8.6 2020-03-03 [1] CRAN (R 4.1.0)
pROC 1.18.0 2021-09-03 [1] CRAN (R 4.1.1)
prodlim 2019.11.13 2019-11-17 [1] CRAN (R 4.1.0)
purrr * 0.3.4 2020-04-17 [1] CRAN (R 4.1.0)
R6 2.5.1 2021-08-19 [1] CRAN (R 4.1.0)
Rcpp 1.0.7 2021-07-07 [1] CRAN (R 4.1.0)
readr * 2.0.2 2021-09-27 [1] CRAN (R 4.1.0)
readxl 1.3.1 2019-03-13 [1] CRAN (R 4.1.0)
recipes * 0.1.17 2021-09-27 [1] CRAN (R 4.1.0)
reprex 2.0.1 2021-08-05 [1] CRAN (R 4.1.0)
rlang 0.4.12 2021-10-18 [1] CRAN (R 4.1.0)
rpart 4.1-15 2019-04-12 [2] CRAN (R 4.1.0)
rsample * 0.1.0 2021-05-08 [1] CRAN (R 4.1.0)
rstudioapi 0.13 2020-11-12 [1] CRAN (R 4.1.0)
rvest 1.0.2 2021-10-16 [1] CRAN (R 4.1.0)
scales * 1.1.1 2020-05-11 [1] CRAN (R 4.1.0)
sessioninfo 1.2.1 2021-11-02 [1] CRAN (R 4.1.0)
stringi 1.7.5 2021-10-04 [1] CRAN (R 4.1.0)
stringr * 1.4.0 2019-02-10 [1] CRAN (R 4.1.0)
survival 3.2-11 2021-04-26 [2] CRAN (R 4.1.0)
tibble * 3.1.5 2021-09-30 [1] CRAN (R 4.1.0)
tidymodels * 0.1.4 2021-10-01 [1] CRAN (R 4.1.0)
tidyr * 1.1.4 2021-09-27 [1] CRAN (R 4.1.0)
tidyselect 1.1.1 2021-04-30 [1] CRAN (R 4.1.0)
tidyverse * 1.3.1 2021-04-15 [1] CRAN (R 4.1.0)
timeDate 3043.102 2018-02-21 [1] CRAN (R 4.1.0)
tune * 0.1.6 2021-07-21 [1] CRAN (R 4.1.0)
tzdb 0.2.0 2021-10-27 [1] CRAN (R 4.1.0)
utf8 1.2.2 2021-07-24 [1] CRAN (R 4.1.0)
vctrs 0.3.8 2021-04-29 [1] CRAN (R 4.1.0)
withr 2.4.2 2021-04-18 [1] CRAN (R 4.1.0)
workflows * 0.2.4 2021-10-12 [1] CRAN (R 4.1.1)
workflowsets * 0.1.0 2021-07-22 [1] CRAN (R 4.1.0)
xml2 1.3.2 2020-04-23 [1] CRAN (R 4.1.0)
yardstick * 0.0.8 2021-03-28 [1] CRAN (R 4.1.0)
[1] C:/Users/Steve/Documents/R/win-library/4.1
[2] C:/Program Files/R/R-4.1.0/library
--------------------------------------------------------------------------------------------------
@importFrom recipes prep bake 必须添加到 .R 文件
我正在构建自定义 recipes 函数，当我尝试 prep() 配方时出现错误。我收到以下错误：
> prep(rec_obj)
Error in UseMethod("prep") :
no applicable method for 'prep' applied to an object of class "c('step_hai_hyperbolic', 'step')"
当我将 prep.step_hai_hyperbolic() 作为函数加载到全局环境中，以便它显示在 RStudio 的环境区域中时，prep() 就可以正常工作了。
这是整个函数和一个例子：
step_hai_hyperbolic <- function(recipe,
...,
role = "predictor",
trained = FALSE,
columns = NULL,
scale_type = c("sin","cos","tan"),
skip = FALSE,
id = rand_id("hai_hyperbolic")
){
terms <- recipes::ellipse_check(...)
funcs <- c("sin", "cos", "tan")
if (!(scale_type %in% funcs))
rlang::abort("`func` should be either `sin`, `cos`, or `tan`")
recipes::add_step(
recipe,
step_hai_hyperbolic_new(
terms = terms,
role = role,
trained = trained,
columns = columns,
scale_type = scale_type,
skip = skip,
id = id
)
)
}
step_hai_hyperbolic_new <-
function(terms, role, trained, columns, scale_type, skip, id){
recipes::step(
subclass = "hai_hyperbolic",
terms = terms,
role = role,
trained = trained,
columns = columns,
scale_type = scale_type,
skip = skip,
id = id
)
}
#' @export
prep.step_hai_hyperbolic <- function(x, training, info = NULL, ...) {
#col_names <- recipes::recipes_eval_select(x$terms, training, info = info)
col_names <- recipes::recipes_eval_select(x$terms, training, info)
value_data <- info[info$variable %in% col_names, ]
if(any(value_data$type != "numeric")){
rlang::abort(
paste0("All variables for `step_hai_hyperbolic` must be `numeric`",
"`integer` `double` classes.")
)
}
step_hai_hyperbolic_new(
terms = x$terms,
role = x$role,
trained = TRUE,
columns = col_names,
scale_type = x$scale_type,
skip = x$skip,
id = x$id
)
}
#' @export
bake.step_hai_hyperbolic <- function(object, new_data, ...){
make_call <- function(col, scale_type){
rlang::call2(
"hai_hyperbolic_vec",
x = rlang::sym(col)
, .scale_type = scale_type
, .ns = "healthyR.ai"
)
}
grid <- expand.grid(
col = object$columns
, scale_type = object$scale_type
, stringsAsFactors = FALSE
)
calls <- purrr::pmap(.l = list(grid$col, grid$scale_type), make_call)
# Column Names
newname <- paste0(grid$col, "_", grid$scale_type)
calls <- recipes::check_name(calls, new_data, object, newname, TRUE)
tibble::as_tibble(dplyr::mutate(new_data, !!!calls))
}
#' @export
print.step_hai_hyperbolic <-
function(x, width = max(20, options()$width - 35), ...) {
cat("Hyperbolic transformation on ", sep = "")
printer(
# Names before prep (could be selectors)
untr_obj = x$terms,
# Names after prep:
tr_obj = names(x$columns),
# Has it been prepped?
trained = x$trained,
# An estimate of how many characters to print on a line:
width = width
)
invisible(x)
}
#' @rdname required_pkgs.healthyR.ai
#' @export
required_pkgs.step_hai_hyperbolic <- function(x, ...) {
c("healthyR.ai")
}
这是一个示例，说明在没有将所有内容都加载到当前 session 环境的情况下它无法工作：
library(tidyverse)
library(tidymodels)
library(healthyR.ai)
len_out = 10
by_unit = "month"
start_date = as.Date("2021-01-01")
data_tbl <- tibble(
date_col = seq.Date(from = start_date, length.out = len_out, by = by_unit),
a = rnorm(len_out),
b = runif(len_out)
)
rec_obj <- recipe(a ~., data = data_tbl) %>%
step_hai_hyperbolic(b, scale_type = "sin") %>%
step_hai_hyperbolic(b, scale_type = "cos")
rec_obj 到控制台的输出：
> rec_obj
Recipe
Inputs:
role #variables
outcome 1
predictor 2
Operations:
Hyperbolic transformation on b
Hyperbolic transformation on b
准备时的错误：
> prep(rec_obj)
Error in UseMethod("prep") :
no applicable method for 'prep' applied to an object of class "c('step_hai_hyperbolic', 'step')"
Session 信息：
> sessioninfo::session_info()
- Session info ----------------------------------------------------------------------------------
hash: credit card, keyboard, flag: South Africa
setting value
version R version 4.1.0 (2021-05-18)
os Windows 10 x64 (build 19042)
system x86_64, mingw32
ui RStudio
language (EN)
collate English_United States.1252
ctype English_United States.1252
tz America/New_York
date 2021-11-05
rstudio 1.4.1717 Juliet Rose (desktop)
pandoc NA
- Packages ---------------------------------------------------------------------------------------
package * version date (UTC) lib source
assertthat 0.2.1 2019-03-21 [1] CRAN (R 4.1.0)
backports 1.3.0 2021-10-27 [1] CRAN (R 4.1.1)
broom * 0.7.10 2021-10-31 [1] CRAN (R 4.1.1)
cellranger 1.1.0 2016-07-27 [1] CRAN (R 4.1.0)
class 7.3-19 2021-05-03 [2] CRAN (R 4.1.0)
cli 3.1.0 2021-10-27 [1] CRAN (R 4.1.0)
codetools 0.2-18 2020-11-04 [2] CRAN (R 4.1.0)
colorspace 2.0-2 2021-06-24 [1] CRAN (R 4.1.0)
crayon 1.4.2 2021-10-29 [1] CRAN (R 4.1.1)
DBI 1.1.1 2021-01-15 [1] CRAN (R 4.1.0)
dbplyr 2.1.1 2021-04-06 [1] CRAN (R 4.1.0)
dials * 0.0.10 2021-09-10 [1] CRAN (R 4.1.0)
DiceDesign 1.9 2021-02-13 [1] CRAN (R 4.1.0)
digest 0.6.28 2021-09-23 [1] CRAN (R 4.1.1)
dplyr * 1.0.7 2021-06-18 [1] CRAN (R 4.1.0)
ellipsis 0.3.2 2021-04-29 [1] CRAN (R 4.1.0)
fansi 0.5.0 2021-05-25 [1] CRAN (R 4.1.0)
forcats * 0.5.1 2021-01-27 [1] CRAN (R 4.1.0)
foreach 1.5.1 2020-10-15 [1] CRAN (R 4.1.0)
fs 1.5.0 2020-07-31 [1] CRAN (R 4.1.0)
furrr 0.2.3 2021-06-25 [1] CRAN (R 4.1.0)
future 1.23.0 2021-10-31 [1] CRAN (R 4.1.1)
future.apply 1.8.1 2021-08-10 [1] CRAN (R 4.1.0)
generics 0.1.1 2021-10-25 [1] CRAN (R 4.1.0)
ggplot2 * 3.3.5 2021-06-25 [1] CRAN (R 4.1.0)
globals 0.14.0 2020-11-22 [1] CRAN (R 4.1.0)
glue 1.4.2 2020-08-27 [1] CRAN (R 4.1.0)
gower 0.2.2 2020-06-23 [1] CRAN (R 4.1.0)
GPfit 1.0-8 2019-02-08 [1] CRAN (R 4.1.0)
gtable 0.3.0 2019-03-25 [1] CRAN (R 4.1.0)
hardhat 0.1.6 2021-07-14 [1] CRAN (R 4.1.0)
haven 2.4.3 2021-08-04 [1] CRAN (R 4.1.0)
healthyR.ai * 0.0.2.9000 2021-11-05 [1] local
hms 1.1.1 2021-09-26 [1] CRAN (R 4.1.0)
httr 1.4.2 2020-07-20 [1] CRAN (R 4.1.0)
infer * 1.0.0 2021-08-13 [1] CRAN (R 4.1.0)
ipred 0.9-12 2021-09-15 [1] CRAN (R 4.1.0)
iterators 1.0.13 2020-10-15 [1] CRAN (R 4.1.0)
jsonlite 1.7.2 2020-12-09 [1] CRAN (R 4.1.0)
lattice 0.20-44 2021-05-02 [2] CRAN (R 4.1.0)
lava 1.6.10 2021-09-02 [1] CRAN (R 4.1.0)
lhs 1.1.3 2021-09-08 [1] CRAN (R 4.1.0)
lifecycle 1.0.1 2021-09-24 [1] CRAN (R 4.1.0)
listenv 0.8.0 2019-12-05 [1] CRAN (R 4.1.0)
lubridate 1.8.0 2021-10-07 [1] CRAN (R 4.1.1)
magrittr 2.0.1 2020-11-17 [1] CRAN (R 4.1.0)
MASS 7.3-54 2021-05-03 [2] CRAN (R 4.1.0)
Matrix 1.3-4 2021-06-01 [1] CRAN (R 4.1.0)
modeldata * 0.1.1 2021-07-14 [1] CRAN (R 4.1.0)
modelr 0.1.8 2020-05-19 [1] CRAN (R 4.1.0)
munsell 0.5.0 2018-06-12 [1] CRAN (R 4.1.0)
nnet 7.3-16 2021-05-03 [2] CRAN (R 4.1.0)
parallelly 1.28.1 2021-09-09 [1] CRAN (R 4.1.1)
parsnip * 0.1.7 2021-07-21 [1] CRAN (R 4.1.0)
pillar 1.6.4 2021-10-18 [1] CRAN (R 4.1.0)
pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.1.0)
plyr 1.8.6 2020-03-03 [1] CRAN (R 4.1.0)
pROC 1.18.0 2021-09-03 [1] CRAN (R 4.1.1)
prodlim 2019.11.13 2019-11-17 [1] CRAN (R 4.1.0)
purrr * 0.3.4 2020-04-17 [1] CRAN (R 4.1.0)
R6 2.5.1 2021-08-19 [1] CRAN (R 4.1.0)
Rcpp 1.0.7 2021-07-07 [1] CRAN (R 4.1.0)
readr * 2.0.2 2021-09-27 [1] CRAN (R 4.1.0)
readxl 1.3.1 2019-03-13 [1] CRAN (R 4.1.0)
recipes * 0.1.17 2021-09-27 [1] CRAN (R 4.1.0)
reprex 2.0.1 2021-08-05 [1] CRAN (R 4.1.0)
rlang 0.4.12 2021-10-18 [1] CRAN (R 4.1.0)
rpart 4.1-15 2019-04-12 [2] CRAN (R 4.1.0)
rsample * 0.1.0 2021-05-08 [1] CRAN (R 4.1.0)
rstudioapi 0.13 2020-11-12 [1] CRAN (R 4.1.0)
rvest 1.0.2 2021-10-16 [1] CRAN (R 4.1.0)
scales * 1.1.1 2020-05-11 [1] CRAN (R 4.1.0)
sessioninfo 1.2.1 2021-11-02 [1] CRAN (R 4.1.0)
stringi 1.7.5 2021-10-04 [1] CRAN (R 4.1.0)
stringr * 1.4.0 2019-02-10 [1] CRAN (R 4.1.0)
survival 3.2-11 2021-04-26 [2] CRAN (R 4.1.0)
tibble * 3.1.5 2021-09-30 [1] CRAN (R 4.1.0)
tidymodels * 0.1.4 2021-10-01 [1] CRAN (R 4.1.0)
tidyr * 1.1.4 2021-09-27 [1] CRAN (R 4.1.0)
tidyselect 1.1.1 2021-04-30 [1] CRAN (R 4.1.0)
tidyverse * 1.3.1 2021-04-15 [1] CRAN (R 4.1.0)
timeDate 3043.102 2018-02-21 [1] CRAN (R 4.1.0)
tune * 0.1.6 2021-07-21 [1] CRAN (R 4.1.0)
tzdb 0.2.0 2021-10-27 [1] CRAN (R 4.1.0)
utf8 1.2.2 2021-07-24 [1] CRAN (R 4.1.0)
vctrs 0.3.8 2021-04-29 [1] CRAN (R 4.1.0)
withr 2.4.2 2021-04-18 [1] CRAN (R 4.1.0)
workflows * 0.2.4 2021-10-12 [1] CRAN (R 4.1.1)
workflowsets * 0.1.0 2021-07-22 [1] CRAN (R 4.1.0)
xml2 1.3.2 2020-04-23 [1] CRAN (R 4.1.0)
yardstick * 0.0.8 2021-03-28 [1] CRAN (R 4.1.0)
[1] C:/Users/Steve/Documents/R/win-library/4.1
[2] C:/Program Files/R/R-4.1.0/library
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@importFrom recipes prep bake 必须添加到 .R 文件