Checking and Simplifying Validation Rule Sets
get categorical rules as mip_rules
Get coefficient matrix from categorical rules
Detect viable domains for categorical variables
Detect the range for numerical variables
Detect fixed variables
Detect which rules cause infeasibility
Detect redundant rules without removing.
expect values
Check if rules are categorical
Check if rules are conditional rules
Find out which rules are conflicting
Find which rule(s) make rule_name redundant
Check the feasibility of a rule set
Check which rules are linear rules.
Make an infeasible system feasible.
Create a rule used by mip
Remove redundant rules
Simplify conditional statements
Simplify fixed variables
Simplify a rule set
substitute a value in a rule set
translate linear rules into an lp problem
Tools for validation rules
Rule sets with validation rules may contain redundancies or contradictions. Functions for finding redundancies and problematic rules are provided, given a set a rules formulated with 'validate'.
Useful links