def Mappe(data, intervals):
filter_func = Eccentricity()
cover = CubicalCover(n_intervals=intervals, overlap_frac=0.3)
clusterer = DBSCAN()
n_jobs = 2
pipe = make_mapper_pipeline(
filter_func=filter_func,
cover=cover,
clusterer=clusterer,
verbose=False,
n_jobs=n_jobs,
)
g = pipe.fit_transform(data)
A = g.get_edgelist()
G = nx.Graph(A)
return G
def test_eccentricity_values_with_infinity_norm_equals_max_row_values(X):
eccentricity = Eccentricity(exponent=np.inf)
Xt = eccentricity.fit_transform(X)
distance_matrix = squareform(pdist(X))
assert_almost_equal(Xt, np.max(distance_matrix, axis=1).reshape(-1, 1))
def test_eccentricity_shape_equals_number_of_samples(X, exponent):
"""Verify that eccentricity preserves the nb of samples in the input."""
eccentricity = Eccentricity(exponent=exponent)
Xt = eccentricity.fit_transform(X)
assert Xt.shape == (len(X), 1)