Candidates
Asks for a dataframe and some parameters and returns how close the collums chosen can predict the goal collum
Should be used mostly with generate_candidates or preferably BestVector in case you only want the best combination possible for predictionCandidates
Asks for a dataframe and some parameters and returns how close the collums chosen can predict the goal collum
Should be used mostly with generate_candidates or preferably BestVector in case you only want the best combination possible for prediction
Candidates(df, goal, vec, repetitions, trigger = 1)
A dataframe with the missing values you wish to fill
The collum with the missing values you wish to fill
a vector of collums you wish to test if can be used to predict the values
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