Main changes:
- ADD ResLogit and Learning-MNL (Enhanced DCM) models
- ADD London Passenger dataset
- ADD: possible parametrization of nb of parallel iterations when usign lbfgs
- ADD released paper & citation
- Diverse small improvements and fixes
Details:
- Release v1.0.0 by @VincentAuriau in #156
- ADD: official paper & citation by @VincentAuriau in #158
- ADD: London Passenger Choice Mode by @VincentAuriau in #159
- ADD: tests for SimpleMNL and ChoiceModel by @VincentAuriau in #160
- Test eager mode for some model tests by @VincentAuriau in #161
- microFIX: NestedLogit clone by @VincentAuriau in #163
- Add ResLogit implementation and a notebook example by @julesdesir in #162
- Minor enhancements by @VincentAuriau in #164
- TST: fix test_reslogit.py by @julesdesir in #165
- TST: Switch to "optim" mode in model.evaluate() by @julesdesir in #166
- ADD: allow for choice of nb of parallel iterations when using LBFGS by @VincentAuriau in #167
- ADD: diverse tests for models by @VincentAuriau in #168
- Add RUMnet & Nested Logit tests by @VincentAuriau in #169
- ADD: White logo by @VincentAuriau in #170
- ADD: Learning-MNL by @VincentAuriau in #171
- ENH: README by @VincentAuriau in #173
- Add colab notebooks links by @VincentAuriau in #175
- Make hooks faster by @chicham in #177
New Contributors
- @julesdesir made their first contribution in #162
- @chicham made their first contribution in #175
Full Changelog: v1.0.0...v1.1.0