An infeasible rule set cannot be satisfied by any data because of internal contradictions. This function checks whether the record-wise linear, categorical and conditional rules in a rule set are consistent.
is_infeasible(x, ...)
validator
object with validation rules.
not used
TRUE or FALSE
Other feasibility:
detect_boundary_cat()
,
detect_boundary_num()
,
detect_infeasible_rules()
,
is_contradicted_by()
,
make_feasible()
rules <- validator( x > 0)
is_infeasible(rules)
#> [1] FALSE
rules <- validator( rule1 = x > 0
, rule2 = x < 0
)
is_infeasible(rules)
#> [1] TRUE
detect_infeasible_rules(rules)
#> [1] "rule1"
make_feasible(rules)
#> Dropping rule(s): "rule1"
#> Object of class 'validator' with 1 elements:
#> rule2: x < 0
#> Rules are evaluated using locally defined options
# find out the conflict with this rule
is_contradicted_by(rules, "rule1")
#> [1] "rule2"