mwong009/pycmtensor: v1.4.0

v1.4.0 (2023-07-16) Feat optimizers.py: added new BFGS algorithm dataset.py: moved dataset initialization to dataset.py pycmtensor.py: Implemented early stopping on coefficient convergence in training loop functions.py: logit method now takes uneven dimensioned-utilities expression.py: Added RandomDraws expression for sampling in mixed logit get_train_data optional argument numpy_out to return numpy arrays rather than pandas arrays BHHH algorithm for calculating var-covar matrix applies to each data row Fix results.py: fixed instance when params are not Betas expressions.py: include RandomDraws as an option in expression evaluations Update tests workflow file conda packages pycmtensor.py: Added missing configuration for stepLR drop_every tests.yml: Update tests workflow file conda packages optimizers.py: Fixed name typo in __all__ results.py: Corrected calculation of hessian and bhhh matrices scheduler.py: Moved class function calls to parent class statistics.py: Fixed rob varcovar calculation error MNL.py: Moved aesara function to parent class data.py: Streamlined class function calls and removed unnecessary code removed package import clashes with config.py removed gnorm calculation update hessian matrix and bhhh algorithm functions Refactor pycmtensor.py: temporarily removed pycmtensor.py MNL.py: replaced function constructors from pycmtensor.py as a function call inside the model Class object basic.py: moved model functionality to from pycmtensor.py to models/basic.py utils.py: Removed unused cod