Allow nans in X about gplearn HOT 2 CLOSED

In genetic.py, I have hard coded gplearn source to what I am hoping to have added as a parameter to gplearn:

fit:

            X, y = self._validate_data(X, y, y_numeric=True, validate_separately=(
               dict(force_all_finite=False),
               dict(force_all_finite=True, ensure_2d=False),
            ))

transform:

           X = check_array(X, force_all_finite=False)

from gplearn.

tbh i dont see a lot of demand here. allowing NaN's in X would require all functions used in the evolution to handle them and currently all will propogate NA through to fitness evaluation.

from gplearn.