User-defined loglikelihood functions should be able to accept args and kwargs. Typically, users want to compare model predictions to observed data in their likelihood functions, perhaps using a chi-squared metric, or something similar. A user could pass in the data via an arg or kwarg, so this functionality should be implemented.
dflemin3
commented
6 years ago
User-defined loglikelihood functions should be able to accept args and kwargs. Typically, users want to compare model predictions to observed data in their likelihood functions, perhaps using a chi-squared metric, or something similar. A user could pass in the data via an arg or kwarg, so this functionality should be implemented.