Jenn

Feature

- Added support for `python >= 3.8`

Documentation

- Update [paper link](https://github.com/shb84/JENN/blob/master/docs/theory.pdf) to point to version on `master` instead of `refactor` branch

Fix

- Fixed `minibatch` which was previously not reusing parameters from one batch to another
- Fixed `random_state` which was previously was not being passed everywhere it should
- Resolved rrror messages when optional `matplotlib` library not installed

Feature

- Added support for `python >= 3.9`

_This release introduces breaking changes but makes the algorithm about 5x faster._

Feature

- Added static, sensitivity profiles as new plotting utility
- Added `synthetic` module to create example data from canonical test functions
- Added `evaluate` method to `NeuralNet` model (which does `predict` and `predict_partials` in one step more efficiently)

Documentation

- Added documentation using `sphinx` and published on GitHub Pages
- Added more example notebooks

Refactor

- Moved core API into its own subpackage
- Moved core API data management functionality into their own classes: `Parameters`, `DataSet`, `Cache`
- Moved plotting module and metrics into utilities subpackage
- Renamed core API modules, classes, and functions
- Renamed user API modules, classes, and functions
- Changed user API by adding NeuralNet model
- Changed user API plotting utility functions names and kwards
- Changed datastructure exposed to user (compared to `v0.1.0`, `X, Y, J` are now transposed)
- Simplified almost all functions for easier maintainability/readability

Style

- Using `ruff`, `docformatter`, `black` and `mypy` for linting

Performance

- Arrays are now updated in place (code about 5x faster)

Tests

- Added unit tests using `pytest`

- First release of `jenn`