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author | Vincent Rouvreau <10407034+VincentRouvreau@users.noreply.github.com> | 2020-07-23 15:38:29 +0200 |
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committer | GitHub <noreply@github.com> | 2020-07-23 15:38:29 +0200 |
commit | 7bd8c85deb864166c228cea8ea2edfba32cced24 (patch) | |
tree | d1aaa95f4135661347162bb147dd89583775b4d7 /src/python/test | |
parent | 444ec77fe16783c35ef86598011a662c5d6e8d92 (diff) | |
parent | 96eb09e4f034fd71f5674f75e5e4584a7402b218 (diff) |
Merge pull request #348 from martinroyer/atol
Introduction of ATOL in finite vectorisation method
Diffstat (limited to 'src/python/test')
-rwxr-xr-x | src/python/test/test_representations.py | 17 |
1 files changed, 17 insertions, 0 deletions
diff --git a/src/python/test/test_representations.py b/src/python/test/test_representations.py index 589cee00..e5c211a0 100755 --- a/src/python/test/test_representations.py +++ b/src/python/test/test_representations.py @@ -4,6 +4,8 @@ import matplotlib.pyplot as plt import numpy as np import pytest +from sklearn.cluster import KMeans + def test_representations_examples(): # Disable graphics for testing purposes @@ -15,6 +17,7 @@ def test_representations_examples(): return None +from gudhi.representations.vector_methods import Atol from gudhi.representations.metrics import * from gudhi.representations.kernel_methods import * @@ -41,3 +44,17 @@ def test_multiple(): d2 = WassersteinDistance(order=2, internal_p=2, n_jobs=4).fit(l2).transform(l1) print(d1.shape, d2.shape) assert d1 == pytest.approx(d2, rel=.02) + + +def test_dummy_atol(): + 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]]) + + for weighting_method in ["cloud", "iidproba"]: + for contrast in ["gaussian", "laplacian", "indicator"]: + atol_vectoriser = Atol(quantiser=KMeans(n_clusters=1, random_state=202006), weighting_method=weighting_method, contrast=contrast) + atol_vectoriser.fit([a, b, c]) + atol_vectoriser(a) + atol_vectoriser.transform(X=[a, b, c]) + |