Kmodes

What's changed
- Improve estimation of gamma for k-prototypes (https://github.com/nicodv/kmodes/pull/186)

**Full Changelog**: https://github.com/nicodv/kmodes/compare/0.12.1...0.12.2

What's changed
- Fix for broken `fit_predict` on `KPrototypes` (https://github.com/nicodv/kmodes/pull/176)
- Improved validation of sample weights (https://github.com/nicodv/kmodes/pull/176)

**Full Changelog**: https://github.com/nicodv/kmodes/compare/0.12.0...0.12.1

What's changed
- Support for sample weights for both k-modes and k-prototypes algorithms, courtesy of kklein (https://github.com/nicodv/kmodes/pull/174, https://github.com/nicodv/kmodes/pull/171)
- Add official support for Python 3.10 (https://github.com/nicodv/kmodes/pull/170)
- Bugfix for algorithm convergence (https://github.com/nicodv/kmodes/commit/370d64b1067331b413d641103a52bd4c636ac702)
- Switch internally to `pytest` from `nose` (https://github.com/nicodv/kmodes/pull/170)
- Some small fixes and cleanups

**Full Changelog**: https://github.com/nicodv/kmodes/compare/0.11.1...0.12.0

What's Changed
* 155: Make _labels_cost function public by nicodv in https://github.com/nicodv/kmodes/pull/156
* Iterations were running for 1 more than expected by nicodv in https://github.com/nicodv/kmodes/pull/160
* Change feature array initialization dtype to uint32 by rggelles in https://github.com/nicodv/kmodes/pull/166. This reduces memory footprint significantly.
* Drop support for missing values, following `scikit-learn`: https://github.com/nicodv/kmodes/commit/a20f6ed6567f4c0d5c5c9ad70ca86a6b77ab522f

**Full Changelog**: https://github.com/nicodv/kmodes/compare/0.11.0...0.11.1

- Python 3.9 support
- Minimum sklearn version upgrade to 0.22
- Default init method for k-prototypes is now the Cao method (same as k-modes and in line with documentation), courtesy of larroy
- Optimizations

- Added Jaccard dissimilarity function, courtesy of BikashPandey17 (129 )
- Return the costs per epoch after training, courtesy of daffidwilde (79 )
- Python 3.8 now supported
- Python 3.4 no longer supported because `sklearn` dropped it too
- Various bugfixes and improvements