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| author | martinroyer <16647869+martinroyer@users.noreply.github.com> | 2020-06-09 12:23:20 +0200 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2020-06-09 12:23:20 +0200 |
| commit | a22b48e00ca858c0e9c300cee87f265d70aeecc7 (patch) | |
| tree | 7c77085f1cd15342509e64fd43221314f62c5f41 /src/python/gudhi/representations | |
| parent | 7eed21c364e244df7fceae11ce9d1c319db8bec9 (diff) | |
remove randomness in example
Diffstat (limited to 'src/python/gudhi/representations')
| -rw-r--r-- | src/python/gudhi/representations/vector_methods.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/src/python/gudhi/representations/vector_methods.py b/src/python/gudhi/representations/vector_methods.py index 0a26a8e5..98cd6153 100644 --- a/src/python/gudhi/representations/vector_methods.py +++ b/src/python/gudhi/representations/vector_methods.py @@ -613,7 +613,7 @@ class Atol(BaseEstimator, TransformerMixin): >>> a = np.array([[1, 2, 4], [1, 4, 0], [1, 0, 4]]) >>> b = np.array([[4, 2, 0], [4, 4, 0], [4, 0, 2]]) >>> c = np.array([[3, 2, -1], [1, 2, -1]]) - >>> atol_vectoriser = Atol(quantiser=KMeans(n_clusters=2)) + >>> 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]]) |