Adding new features

[StillerPatrick]

New Features

Learning Rate Annealing is now available and can be activated in the fit()function. This algorithm balances the weights for initial and boundary conditions depending on the stiffness of the underlying PDE

Logger are available and can be activated in the fit()function. Logger enable automatic tracking of all loss terms and theire weights for example with Weights and Biases which is implemented yet. By implementing the Logger_Interface you can build your own loggers.

Pretraining the fit() function allows a pretraining by optimizing only on the initial condition

Callbacks its possible to write custom callbacks in order to modify the behavior in the training loop. At the moment only callbacks at the end of epochs are supported

Bugfixes

Fix the bug in the calculation of neumann and robin boundary condition

Resolved issues

• issue PINN should also accept Setups without boundary condition.  #24
• issue Extend the PINN function to accept only one boundary condition #19
• issue Adding callback option for fit function #13
• issue AttributeError: 'function' object has no attribute 'hpm_model' #30
• issue spelling mistake #31