Bump version to 0.7.9 + Python 3.12 builds

• Fixed KMeans (Scikit-learn) algorithm paramter

Add 3.11 builds

0.7.8

bump version

Add 3.10 and other minor bug fixes

Fixed Frank copula init check and added 3.10 build

Upgrade numpy build version to >= 1.20

0.7.6

Upgrade minimum numpy version

Bug fix when DataFrame is put in as fit input

0.7.5

Bump version to 0.7.5

Major bug fix

Fixes a critical issue when data passed into fit method is not a numpy array (i.e. DataFrame)

Fit method changes

Enable users to pass in uniform marginals straightaway

Fix Empirical Copula

1. Fixed teething issues in the Empirical Copula
2. Minor changes to the psuedo_obs function

0.7.1

1. Refactored estimation codebase
2. Fixed bug when fitting Archimedean copulas without adding initial paramter (Issue #29)
3. Add python 3.9

Copulae 0.7.0

1. Added MarginalCopula. This enables users to specify different marginal distributions given a single dependency structure
2. Fixed bug in EmpiricalCopula caused by eager conversion of data to pseudo-observations
3. Update EllipticalCopula getitem and setitem logic and removed delitem to better handle parameter updates
4. Convert BaseCopula to a Protocol typing
5. Introduced 3.8 typings and made it backwards compatible by requiring older versions of python to install typing extensions