def test_dict_multi_attr():
cluster_object = AZPSimulatedAnnealing(init_temperature=1,
max_iterations=2,
random_state=0)
cluster_object.fit_from_dict(neighbors_dict, double_attr_dict, n_regions=2)
obtained = region_list_from_array(cluster_object.labels_)
compare_region_lists(obtained, optimal_clustering)
def test_dict_multi_attr():
cluster_object = AZPSimulatedAnnealing(init_temperature=1,
max_iterations=2,
random_state=0)
cluster_object.fit_from_dict(neighbors_dict, double_attr_dict, n_regions=2)
obtained = region_list_from_array(cluster_object.labels_)
compare_region_lists(obtained, optimal_clustering)
def test_dict():
value_dict = dataframe_to_dict(gdf, attr_str)
cluster_object = AZPSimulatedAnnealing(init_temperature=1,
max_iterations=2,
random_state=0)
cluster_object.fit_from_dict(neighbors_dict, value_dict, n_regions=2)
result = region_list_from_array(cluster_object.labels_)
compare_region_lists(result, optimal_clustering)
def test_dict():
value_dict = dataframe_to_dict(gdf, attr_str)
cluster_object = AZPSimulatedAnnealing(init_temperature=1,
max_iterations=2,
random_state=0)
cluster_object.fit_from_dict(neighbors_dict, value_dict, n_regions=2)
result = region_list_from_array(cluster_object.labels_)
compare_region_lists(result, optimal_clustering)