diff options
Diffstat (limited to 'src/python/gudhi/representations/vector_methods.py')
| -rw-r--r-- | src/python/gudhi/representations/vector_methods.py | 18 |
1 files changed, 9 insertions, 9 deletions
diff --git a/src/python/gudhi/representations/vector_methods.py b/src/python/gudhi/representations/vector_methods.py index e1402aea..a6d86821 100644 --- a/src/python/gudhi/representations/vector_methods.py +++ b/src/python/gudhi/representations/vector_methods.py @@ -711,16 +711,16 @@ 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 # doctest: +SKIP - >>> # array([[ 2. , 0.66666667, 3.33333333], - >>> # [ 2.6 , 2.8 , -0.4 ]]) - >>> atol_vectoriser(a) - >>> # array([1.18168665, 0.42375966]) # doctest: +SKIP - >>> atol_vectoriser(c) - >>> # array([0.02062512, 1.25157463]) # doctest: +SKIP + array([[ 2. , 0.66666667, 3.33333333], + [ 2.6 , 2.8 , -0.4 ]]) + >>> atol_vectoriser(a) # doctest: +SKIP + array([1.18168665, 0.42375966]) + >>> atol_vectoriser(c) # doctest: +SKIP + array([0.02062512, 1.25157463]) >>> atol_vectoriser.transform(X=[a, b, c]) # doctest: +SKIP - >>> # 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]]) """ # Note the example above must be up to date with the one in tests called test_atol_doc def __init__(self, quantiser, weighting_method="cloud", contrast="gaussian"): |