Ctgan

Bugs Fixed

* Torch 2.0 fails with cuda=False - Issue [288](https://github.com/sdv-dev/CTGAN/issues/288) by amontanez24

Maintenance

* Upgrade to torch 2.0 - Issue [280](https://github.com/sdv-dev/CTGAN/issues/280) by frances-h

Bugs Fixed

* Cap numpy to less than 2.0.0 until CTGan supports - Issue [387](https://github.com/sdv-dev/CTGAN/issues/387) by gsheni
* Redundant whitespace in the demo data - Issue [233](https://github.com/sdv-dev/CTGAN/issues/233)

Internal

* Add workflow to generate release notes - Issue [404](https://github.com/sdv-dev/CTGAN/issues/404) by amontanez24

Maintenance

* Switch to using ruff for Python linting and code formatting - Issue [335](https://github.com/sdv-dev/CTGAN/issues/335) by gsheni

Miscellaneous

* Add support for numpy 2.0.0 - Issue [386](https://github.com/sdv-dev/CTGAN/issues/386) by R-Palazzo

This release removes a warning that was cluttering the console.

Maintenance

* Cleanup automated PR workflows - Issue [370](https://github.com/sdv-dev/CTGAN/issues/370) by R-Palazzo
* Only run unit and integration tests on oldest and latest python versions for macos - Issue [375](https://github.com/sdv-dev/CTGAN/issues/375) by R-Palazzo

Internal

* Remove FutureWarning: Setting an item of incompatible dtype is deprecated - Issue [373](https://github.com/sdv-dev/CTGAN/issues/373) by fealho

This release adds support for Python 3.12!

Maintenance

* Support Python 3.12 - Issue [324](https://github.com/sdv-dev/CTGAN/issues/324) by fealho
* Remove scikit-learn dependency - Issue [346](https://github.com/sdv-dev/CTGAN/issues/346) by R-Palazzo
* Add bandit workflow - Issue [353](https://github.com/sdv-dev/CTGAN/issues/353) by R-Palazzo

Internal

* Replace integration test that uses the iris demo data - Issue [352](https://github.com/sdv-dev/CTGAN/issues/352) by R-Palazzo

Bugs Fixed

* Fix minimum version workflow when pointing to github branch - Issue [355](https://github.com/sdv-dev/CTGAN/issues/355) by R-Palazzo

This release changes the `loss_values` attribute of a CTGAN model to contain floats instead of `torch.Tensors`.

New Features

* Return loss values as float values not PyTorch objects - Issue [332](https://github.com/sdv-dev/CTGAN/issues/332) by fealho

Maintenance

* Transition from using setup.py to pyproject.toml to specify project metadata - Issue [333](https://github.com/sdv-dev/CTGAN/issues/333) by R-Palazzo
* Remove bumpversion and use bump-my-version - Issue [334](https://github.com/sdv-dev/CTGAN/issues/334) by R-Palazzo
* Add dependency checker - Issue [336](https://github.com/sdv-dev/CTGAN/issues/336) by amontanez24

This release makes CTGAN sampling more efficient by saving the frequency of each categorical value.

New Features

* Improve DataSampler efficiency - Issue [327] ((https://github.com/sdv-dev/CTGAN/issue/327)) by fealho