MNT Common tests between KDTree and BallTree#16338
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thomasjpfan merged 1 commit intoscikit-learn:masterfrom Feb 2, 2020
Merged
MNT Common tests between KDTree and BallTree#16338thomasjpfan merged 1 commit intoscikit-learn:masterfrom
thomasjpfan merged 1 commit intoscikit-learn:masterfrom
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rth
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Jan 31, 2020
jeremiedbb
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Jan 31, 2020
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| @pytest.mark.parametrize('Cls', [KDTree, BallTree]) | ||
| @pytest.mark.parametrize("kernel", ['gaussian', 'tophat', 'epanechnikov', | ||
| 'exponential', 'linear', 'cosine']) | ||
| @pytest.mark.parametrize("h", [0.01, 0.1, 1]) | ||
| @pytest.mark.parametrize("rtol", [0, 1E-5]) | ||
| @pytest.mark.parametrize("atol", [1E-6, 1E-2]) | ||
| @pytest.mark.parametrize("breadth_first", [True, False]) |
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This actually runs 288 tests ! is it reasonably fast ?
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On my local machine: 288 passed in 1.72s
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For comparison: the old test_kd_tree_kde uses loops inside and results in 18 passed in 0.67s. Doubling for balltree, we have like 0.4s overhead.
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It should be fine. Thanks for checking.
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Thank you for the PR @VarIr !
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Reference Issues/PRs
More common tests between KDTree and BallTree. See also #15148 and #16110 (comment).
What does this implement/fix? Explain your changes.
From the previous PR by @rth :
Any other comments?
There might also be some overlap with
KernelDensity, which is not dealt with in this PR.For example,
compute_kernel_slow,test_kernel_density