(self, data)
| 167 | return featuremap_pooled |
| 168 | |
| 169 | def _expand(self, data): |
| 170 | # expanding three dimension data to one dimension list |
| 171 | data_expanded = [] |
| 172 | for i in range(len(data)): |
| 173 | shapes = np.shape(data[i]) |
| 174 | data_listed = data[i].reshape(1, shapes[0] * shapes[1]) |
| 175 | data_listed = data_listed.getA().tolist()[0] |
| 176 | data_expanded.extend(data_listed) |
| 177 | data_expanded = np.asarray(data_expanded) |
| 178 | return data_expanded |
| 179 | |
| 180 | def _expand_mat(self, data_mat): |
| 181 | # expanding matrix to one dimension list |