'Handle the kwargs to be passed to the learner before they are used.
In some cases we need to manipulate the kwargs that will be passed to
the learner, e.g. SGD takes a `loss` parameter in both the regression
and classification learners, but the learner widget cannot
differentiate between these two, so it passes classification and
regression loss parameters individually. The appropriate one must be
renamed into `loss` before passed to the actual learner instance. This
is done here.'

def _change_kwargs(self, kwargs, problem_type):

    return kwargs
