Datasets:
| def get_vector(self, max_choice=3): | |
| """pass""" | |
| vec = {} | |
| for dim in ['forbidden', 'required', 'permitted']: | |
| if self.meta[dim] is None: | |
| continue | |
| dim_vec = map(lambda x: (x, max_choice), self.meta[dim]) | |
| vec[dim] = dict(dim_vec) | |
| return vec |