v0.8.0 - 2021-02-24
This version adds conditional sampling for tabular models by combining a reject-sampling
strategy with the native conditional sampling capabilities from the Gaussian Copulas.
It also introduces several upgrades on the HMA1 algorithm that improve data quality and
robustness in the multi-table scenarios by making changes in how the parameters of the child
tables are aggregated on the parent tables, including a complete rework of how the correlation
matrices are modeled and rebuild after sampling.