tests/testthat/_snaps/case-weights.md

importance_weights() doesn't allow negative weights

Code
  importance_weights(-1)
Condition
  Error in `importance_weights()`:
  ! `x` can't contain negative weights.

importance-weights constructor checks for double data

Code
  new_importance_weights(1L)
Condition
  Error in `new_importance_weights()`:
  ! `x` must be a double vector.

can't cast importance-weights -> integer (too lenient, likely fractional weights)

Code
  vec_cast(x, integer())
Condition
  Error:
  ! Can't convert `x` <importance_weights> to <integer>.

as.integer() fails (too lenient, likely fractional weights)

Code
  as.integer(x)
Condition
  Error in `as.integer()`:
  ! Can't convert `x` <importance_weights> to <integer>.

frequency_weights() coerces to integer

Code
  frequency_weights(1.5)
Condition
  Error in `frequency_weights()`:
  ! Can't convert from `x` <double> to <integer> due to loss of precision.
  * Locations: 1

frequency_weights() doesn't allow negative weights

Code
  frequency_weights(-1L)
Condition
  Error in `frequency_weights()`:
  ! `x` can't contain negative weights.

frequency-weights constructor checks for integer data

Code
  new_frequency_weights(1)
Condition
  Error in `new_frequency_weights()`:
  ! `x` must be an integer vector.

x must be integer or double

Code
  new_case_weights("x", class = "subclass")
Condition
  Error in `new_case_weights()`:
  ! `x` must be an integer or double vector.


tidymodels/hardhat documentation built on Sept. 26, 2024, 11:38 p.m.