iterative_proportional_fitting

Implementation of iterative proportional fitting algorithm.

See: https://en.wikipedia.org/wiki/Iterative_proportional_fitting

Functions

adjust_towards_aggregates(mat, ...)	Adjust a matrix towards aggregate targets.
default_convergence(targets, achieved)	Calculate the default convergence used by ipfn.
ipf()	Adjust a matrix iteratively towards targets until convergence met.
ipf_dataframe(seed_df, target_marginals, ...)	Adjust a matrix iteratively towards targets until convergence met.
overload(func)	Decorator for overloaded functions/methods.
pd_marginals_to_np(target_marginals, ...[, ...])	Convert pandas marginals to numpy format for ipf().
sparse_adjust_towards_aggregates(mat, ...)	Adjust a matrix towards aggregate targets.