| @@ -0,0 +1,27 @@ | |||||
| # -*-coding:utf-8 -*- | |||||
| """gklearn - utils module | |||||
| Implement some methods to manage graphs | |||||
| graphfiles.py : load .gxl and .ct files | |||||
| utils.py : compute some properties on networkX graphs | |||||
| """ | |||||
| # info | |||||
| __version__ = "0.1" | |||||
| __author__ = "Benoit Gaüzère" | |||||
| __date__ = "November 2017" | |||||
| # from utils import graphfiles | |||||
| # from utils import utils | |||||
| from gklearn.utils.dataset import Dataset, split_dataset_by_target | |||||
| from gklearn.utils.graph_files import load_dataset, save_dataset | |||||
| from gklearn.utils.timer import Timer | |||||
| from gklearn.utils.utils import get_graph_kernel_by_name | |||||
| from gklearn.utils.utils import compute_gram_matrices_by_class | |||||
| from gklearn.utils.utils import SpecialLabel, dummy_node, undefined_node, dummy_edge | |||||
| from gklearn.utils.utils import normalize_gram_matrix, compute_distance_matrix | |||||
| from gklearn.utils.trie import Trie | |||||
| from gklearn.utils.knn import knn_cv, knn_classification | |||||
| from gklearn.utils.model_selection_precomputed import model_selection_for_precomputed_kernel | |||||