validation_split()
is deprecatedCode
set.seed(11)
rs1 <- validation_split(dat1)
Condition
Warning:
`validation_split()` was deprecated in rsample 1.2.0.
i Please use `initial_validation_split()` instead.
Code
sizes1 <- dim_rset(rs1)
expect_true(all(sizes1$analysis == 15))
expect_true(all(sizes1$assessment == 5))
validation_time_split()
is deprecatedCode
set.seed(11)
rs1 <- validation_time_split(dat1)
Condition
Warning:
`validation_time_split()` was deprecated in rsample 1.2.0.
i Please use `initial_validation_time_split()` instead.
Code
sizes1 <- dim_rset(rs1)
expect_true(all(sizes1$analysis == 15))
expect_true(all(sizes1$assessment == 5))
Code
validation_time_split(drinks)
Output
# Validation Set Split (0.75/0.25)
# A tibble: 1 x 2
splits id
<list> <chr>
1 <split [231/78]> validation
Code
validation_time_split(drinks, lag = 12.5)
Condition
Error in `validation_time_split()`:
! `lag` must be a whole number.
Code
validation_time_split(drinks, lag = 500)
Condition
Error in `validation_time_split()`:
! `lag` must be less than or equal to the number of training observations.
group_validation_split()
is deprecatedCode
set.seed(11)
rs1 <- group_validation_split(dat1, c)
Condition
Warning:
`group_validation_split()` was deprecated in rsample 1.2.0.
i Please use `group_initial_validation_split()` instead.
Code
sizes1 <- dim_rset(rs1)
expect_true(all(sizes1$analysis == 15))
expect_true(all(sizes1$assessment == 5))
Code
sizes4
Output
# A tibble: 1 x 5
analysis assessment n p id
<int> <int> <int> <int> <chr>
1 37074 12926 50000 3 validation
Code
validation_split(mtcars, prop = 1)
Condition
Error in `validation_split()`:
! `prop` must be less than 1.
Code
validation_time_split(mtcars, prop = 1)
Condition
Error in `validation_time_split()`:
! `prop` must be less than 1.
Code
group_validation_split(mtcars, group = "cyl", prop = 1)
Condition
Error in `group_validation_split()`:
! `prop` must be less than 1.
Code
validation_split(warpbreaks, strata = warpbreaks$tension)
Condition
Error in `validation_split()`:
! Can't select columns that don't exist.
x Columns `L`, `L`, `L`, `L`, `L`, etc. don't exist.
Code
validation_split(warpbreaks, strata = c("tension", "wool"))
Condition
Error in `validation_split()`:
! `strata` must be a single string or `NULL`, not a character vector.
Code
validation_split(warpbreaks)
Output
# Validation Set Split (0.75/0.25)
# A tibble: 1 x 2
splits id
<list> <chr>
1 <split [40/14]> validation
Code
validation_split(warpbreaks)$splits[[1]]
Output
<Training/Validation/Total>
<40/14/54>
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