Python AZPSimulatedAnnealing.fit_from_geodataframe Beispiele

Beispiel #1

def test_geodataframe_multi_attr():
    cluster_object = AZPSimulatedAnnealing(init_temperature=1,
                                           max_iterations=2,
                                           random_state=0)
    cluster_object.fit_from_geodataframe(gdf, double_attr_str, n_regions=2)
    obtained = region_list_from_array(cluster_object.labels_)
    compare_region_lists(obtained, optimal_clustering)

Beispiel #2

Datei: test_azp_simulated_annealing.py Projekt: knaaptime/region

def test_geodataframe_multi_attr():
    cluster_object = AZPSimulatedAnnealing(init_temperature=1,
                                           max_iterations=2,
                                           random_state=0)
    cluster_object.fit_from_geodataframe(gdf, double_attr_str, n_regions=2)
    obtained = region_list_from_array(cluster_object.labels_)
    compare_region_lists(obtained, optimal_clustering)

Beispiel #3

def test_geodataframe():
    cluster_object = AZPSimulatedAnnealing(init_temperature=1,
                                           max_iterations=2,
                                           random_state=0)
    cluster_object.fit_from_geodataframe(gdf, attr_str, n_regions=2)
    result = region_list_from_array(cluster_object.labels_)
    compare_region_lists(result, optimal_clustering)

Beispiel #4

Datei: test_azp_simulated_annealing.py Projekt: knaaptime/region

def test_geodataframe():
    cluster_object = AZPSimulatedAnnealing(init_temperature=1,
                                           max_iterations=2,
                                           random_state=0)
    cluster_object.fit_from_geodataframe(gdf, attr_str, n_regions=2)
    result = region_list_from_array(cluster_object.labels_)
    compare_region_lists(result, optimal_clustering)