dials 1.4.0

• For space-filling designs for $p$ parameters, there is a higher likelihood of finding a space-filling design for 1 < size <= p. Also, single-point designs now default to a random grid (#363).

• value_seq() and value_sample() now respect the inclusive argument of quantitative parameters (#347).

• The constructors, new_*_parameter(), now label unlabeled parameter (i.e., constructed with label = NULL) as such (#349).

• All messages, warnings and errors has been translated to use {cli} package (#311).

• parameters.list() now enforces the unused ellipsis to be empty (#378).

• Added three new parameters for use in postprocessing in the tailor package (#357).

  • buffer() sets the distance on either side of a classification threshold
    within which predictions are considered equivocal in
    tailor::adjust_equivocal_zone().
  • lower_limit() and upper_limit() sets the ranges for
    numeric predictions in tailor::adjust_numeric_range().

Breaking changes

• The grid_*() functions now error instead of warn when provided with the wrong argument to control the grid size. So grid_space_filling(), grid_random(), grid_max_entropy(), and grid_latin_hypercube() now error if used with a levels argument and grid_regular() now errors if used with a size argument (#368).

• The "optimal" option for the weight_func() parameter has been removed since it is choosing the optimal value based on the resubstition error (#370).

• When constructing integer-valued parameters with a range of two consecutive values the inclusive argument needs to be set to c(TRUE, TRUE) to leave at least two values to sample from (#373).