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-rw-r--r--src/python/gudhi/representations/vector_methods.py14
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 cdcb1fde..d4449e7d 100644
--- a/src/python/gudhi/representations/vector_methods.py
+++ b/src/python/gudhi/representations/vector_methods.py
@@ -606,16 +606,16 @@ 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. , 0.66666667, 3.33333333],
- [ 2.6 , 2.8 , -0.4 ]])
+ >>> # array([[ 2. , 0.66666667, 3.33333333],
+ >>> # [ 2.6 , 2.8 , -0.4 ]])
>>> atol_vectoriser(a)
- array([1.18168665, 0.42375966])
+ >>> # array([1.18168665, 0.42375966])
>>> atol_vectoriser(c)
- array([0.02062512, 1.25157463])
+ >>> # array([0.02062512, 1.25157463])
>>> atol_vectoriser.transform(X=[a, b, c])
- array([[1.18168665, 0.42375966],
- [0.29861028, 1.06330156],
- [0.02062512, 1.25157463]])
+ >>> # array([[1.18168665, 0.42375966],
+ >>> # [0.29861028, 1.06330156],
+ >>> # [0.02062512, 1.25157463]])
"""
def __init__(self, quantiser, weighting_method="cloud", contrast="gaussian"):
"""