def has_errors(self):
        if self._completion_marker:
            return self._completion_marker.has_errors

        return False
Ravel column or 1d numpy array, else raises an error
dataset/ETHPy150Open Workiva/furious/furious/extras/appengine/ndb_persistence.py/ContextResult.has_errors--crossover with--dataset/ETHPy150Open scikit-learn/scikit-learn/sklearn/utils/validation.py/column_or_1d