GenerateCandidatesTable
Asks for a data.table and some parameters and returns all possible combinations of collums for prediction that satisfy a given error in input
in a list the first element of the list are the combinations while the second is its measure of error,to get the best parameters call BestVectorGenerateCandidatesTable
Asks for a data.table and some parameters and returns all possible combinations of collums for prediction that satisfy a given error in input
in a list the first element of the list are the combinations while the second is its measure of error,to get the best parameters call BestVector
GenerateCandidatesTable(df, goal, maxi, repetitions, trigger = 1)
A data.table with the missing values you wish to fill
The collum with the missing values you wish to fill
What will be the length of possible combinations you will test example if 2 they will test up to all possible pairs of collums
Measure of error, the bigger the less likely you will get the right prediction
When you pair all possible combination of tuples a percentage of them will show only once, trigger rejects the set if this percentage is higher than this value