Check the feasibility of a rule set

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, ...)

Arguments

x

validator object with validation rules.

...

not used

Value

TRUE or FALSE

See also

Other feasibility: detect_boundary_cat(), detect_boundary_num(), detect_contradicting_if_rules(), detect_infeasible_rules(), is_contradicted_by(), make_feasible()

Examples

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"