Basic input/ output checks

[AniekMarkus]

Aniek: plausible input values -> to create checks.

StartRulelength = positive integer EndRulelength = positive integer OperatorMethod =one of list with strings, list = "EXHAUSTIVE", ... CutoffMethod = one of list with strings, list = "RVAC", ... ClassFeature = string (should be name of one of columns in data train) PositiveClass = 1 or string (?) (should be one of elements of column 'ClassFeature' in data train) FeatureInclude = empty or string (should be name of one of columns in data train) Maximize = one of list with strings, list = "ACCURACY", ... Accuracy = float 0-1 -> default = 0 (if 0 -> make empty = computationally more beneficial) Specificity = float 0-1 -> default = 0 PrintSettings = string yes or no PrintPerformance = string yes or no Subsumption = string yes or no BranchBound = string yes or no Parallel = string yes or no

• change: string yes or no -> true or false?
• no default available, should always be given by user*
• can make checks first with list = 1, extend the list of options later (needs testing)
• all paths -> check if need to add backslash (with escape /)

Cesar: functional input checks (e.g. kind of checks for string, integer etc.).

[AniekMarkus]

• Positive class; also allow numerical
• Accuracy/Specificity etc. should be larger than 0 (but desirable to allow 0 values -> manually convert to "") and smaller than 1 (allow only till 0.999) for C++