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FIX RuntimeWarning by dividing by zero in test_kernel_gradient #19396

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Merged
merged 11 commits into from
Feb 11, 2021
Merged

FIX RuntimeWarning by dividing by zero in test_kernel_gradient #19396

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959171a
Fix: RuntimeWarning by dividing by zero in test_kernel_gradient
nuka137 Feb 8, 2021
efff2d8
Fix: linter error
nuka137 Feb 8, 2021
954a200
Fix: Address requests from the review
nuka137 Feb 9, 2021
ce12717
Fix: Address requests from the review
nuka137 Feb 9, 2021
7414286
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nuka137 Feb 9, 2021
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nuka137 Feb 9, 2021
915e5ac
Fix: Address requests from the review
nuka137 Feb 9, 2021
f7d6099
Fix: Address requests from the review
nuka137 Feb 9, 2021
125c20e
Fix: linter error
nuka137 Feb 9, 2021
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nuka137 Feb 10, 2021
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rth Feb 11, 2021
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6 changes: 3 additions & 3 deletions sklearn/gaussian_process/kernels.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1686,9 +1686,9 @@ def __call__(self, X, Y=None, eval_gradient=False):
D = squareform(dists**2)[:, :, np.newaxis]

if self.nu == 0.5:
K_gradient = K[..., np.newaxis] * D \
/ np.sqrt(D.sum(2))[:, :, np.newaxis]
K_gradient[~np.isfinite(K_gradient)] = 0
denominator = np.sqrt(D.sum(axis=2))[:, :, np.newaxis]
K_gradient = K[..., np.newaxis] * \
np.divide(D, denominator, where=denominator != 0)
elif self.nu == 1.5:
K_gradient = \
3 * D * np.exp(-np.sqrt(3 * D.sum(-1)))[..., np.newaxis]
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