diff options
| -rw-r--r-- | src/python/gudhi/representations/vector_methods.py | 14 |
1 files changed, 7 insertions, 7 deletions
diff --git a/src/python/gudhi/representations/vector_methods.py b/src/python/gudhi/representations/vector_methods.py index 98cd6153..77b2836f 100644 --- a/src/python/gudhi/representations/vector_methods.py +++ b/src/python/gudhi/representations/vector_methods.py @@ -615,16 +615,16 @@ class Atol(BaseEstimator, TransformerMixin): >>> c = np.array([[3, 2, -1], [1, 2, -1]]) >>> atol_vectoriser = Atol(quantiser=KMeans(n_clusters=2, random_state=202006)) >>> atol_vectoriser.fit(X=[a, b, c]).centers - array([[ 2.6 , 2.8 , -0.4 ], - [ 2. , 0.66666667, 3.33333333]]) + array([[ 2. , 0.66666667, 3.33333333], + [ 2.6 , 2.8 , -0.4 ]]) >>> atol_vectoriser(a) - array([0.58394704, 1.0769395 ]) + array([1.0769395 , 0.58394704]) >>> atol_vectoriser(c) - array([1.02816136, 0.23559623]) + array([0.23559623, 1.02816136]) >>> atol_vectoriser.transform(X=[a, b, c]) - array([[0.58394704, 1.0769395 ], - [1.04696684, 0.56203292], - [1.02816136, 0.23559623]]) + array([[1.0769395 , 0.58394704], + [0.56203292, 1.04696684], + [0.23559623, 1.02816136]]) """ def __init__(self, quantiser, weighting_method="cloud", contrast="gaussian"): """ |