The algorithm proceeds in two phases.
A Covariate represents a predictor, also known as a "feature" or "independent variable".
Represents a tuple containing a value for each covariate.
Represents the abstract space of all possible CovariateKeys for the given set of Covariates.
An empirical frequency count of mismatches from the reference.
Table containing the empirical frequency of mismatches for each set of covariate values.