MAINT pin max numpydoc for now #22286
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ogrisel
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Jan 24, 2022
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Failure originally observed in #21990. |
This was referenced Jan 24, 2022
jjerphan
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Jan 26, 2022
lorentzenchr
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Feb 10, 2022
* Forward pairwise_dist_chunk_size in the configuration * Flip finalized results for PairwiseDistancesArgKmin The previous would have made the code more complex by introducing some boilerplate for the interface plugs. Having it this way actually simplifies the code. This also removes the haversine branch for test_pairwise_distances_argkmin Co-authored-by: Olivier Grisel <[email protected]> * Plug PairwiseDistancesArgKmin as a back-end * Adapt test accordingly * Add whats_new entry * Change input validation order for kneighbors * Remove duplicated test_neighbors_distance_metric_deprecation Co-authored-by: Thomas J. Fan <[email protected]> * Adapt the documentation Co-authored-by: Thomas J. Fan <[email protected]> * Add mahalanobis case to test fixtures * Correct whats_new entry * CLN Remove unneeded private metric attribute This was needed when 'fast_sqeuclidean' and 'fast_euclidean' were present to choose the best implementation based on the user specification. Those metric have been removed since then, making this attribute useless. Co-authored-by: Thomas J. Fan <[email protected]> * TST Assert FutureWarning instead of DeprecationWarning in test_neighbors_metrics * MAINT Add use_pairwise_dist_activate to scikit-learn config * TST Add a test for the 'brute' backends' results' consistency Co-authored-by: Thomas J. Fan <[email protected]> * fixup! MAINT Add use_pairwise_dist_activate to scikit-learn config * fixup! fixup! MAINT Add use_pairwise_dist_activate to scikit-learn config * TST Filter FutureWarning for WMinkowskiDistance * MAINT pin numpydoc in arm for now (#22292) * fixup! TST Filter FutureWarning for WMinkowskiDistance * Revert keywords arguments removal for the GEMM trick for 'euclidean' * MAINT pin max numpydoc for now (#22286) * Add 'haversine' to CDIST_PAIRWISE_DISTANCES_REDUCTION_COMMON_METRICS Co-authored-by: Olivier Grisel <[email protected]> * fixup! Add 'haversine' to CDIST_PAIRWISE_DISTANCES_REDUCTION_COMMON_METRICS * Apply suggestions from code review Co-authored-by: Olivier Grisel <[email protected]> * MAINT Document some config parameters for maintenance Also rename one of them. Co-authored-by: Thomas J. Fan <[email protected]> Co-authored-by: Olivier Grisel <[email protected]> * FIX Support and test one of 'sqeuclidean' specification Co-authored-by: Olivier Grisel <[email protected]> * FIX Various typos fix and correct haversine 'haversine' is not supported by cdist. * Directly use get_config * CLN Apply comments from review Co-authored-by: Christian Lorentzen <[email protected]> Co-authored-by: Jérémie du Boisberranger <[email protected]> * Motivate swapped returned values Co-authored-by: Jérémie du Boisberranger <[email protected]> Co-authored-by: Thomas J. Fan <[email protected]> * TST Remove mahalanobis from test fixtures Co-authored-by: Jérémie du Boisberranger <[email protected]> * MNT Add comment regaduction functions' signatures Co-authored-by: Christian Lorentzen <[email protected]> Co-authored-by: Olivier Grisel <[email protected]> * TST Complete test for `pairwise_distance_{argmin,argmin_min}` (#22371) * DOC Add sub-pull requests to the whats_new entry
lorentzenchr
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Feb 17, 2022
…min` (feature branch) (#22134) * MAINT Introduce Pairwise Distances Reductions private submodule (#22064) * MAINT Introduce FastEuclideanPairwiseArgKmin (#22065) * fixup! Merge branch 'main' into pairwise-distances-argkmin Remove duplicated Bunch * MAINT Plug `PairwiseDistancesArgKmin` as a back-end (#22288) * Forward pairwise_dist_chunk_size in the configuration * Flip finalized results for PairwiseDistancesArgKmin The previous would have made the code more complex by introducing some boilerplate for the interface plugs. Having it this way actually simplifies the code. This also removes the haversine branch for test_pairwise_distances_argkmin * Plug PairwiseDistancesArgKmin as a back-end * Adapt test accordingly * Add whats_new entry * Change input validation order for kneighbors * Remove duplicated test_neighbors_distance_metric_deprecation * Adapt the documentation * Add mahalanobis case to test fixtures * Correct whats_new entry * CLN Remove unneeded private metric attribute This was needed when 'fast_sqeuclidean' and 'fast_euclidean' were present to choose the best implementation based on the user specification. Those metric have been removed since then, making this attribute useless. * TST Assert FutureWarning instead of DeprecationWarning in test_neighbors_metrics * MAINT Add use_pairwise_dist_activate to scikit-learn config * TST Add a test for the 'brute' backends' results' consistency Co-authored-by: Thomas J. Fan <[email protected]> * fixup! MAINT Add use_pairwise_dist_activate to scikit-learn config * fixup! fixup! MAINT Add use_pairwise_dist_activate to scikit-learn config * TST Filter FutureWarning for WMinkowskiDistance * MAINT pin numpydoc in arm for now (#22292) * fixup! TST Filter FutureWarning for WMinkowskiDistance * Revert keywords arguments removal for the GEMM trick for 'euclidean' * MAINT pin max numpydoc for now (#22286) * Add 'haversine' to CDIST_PAIRWISE_DISTANCES_REDUCTION_COMMON_METRICS * fixup! Add 'haversine' to CDIST_PAIRWISE_DISTANCES_REDUCTION_COMMON_METRICS * Apply suggestions from code review * MAINT Document some config parameters for maintenance Also rename one of them. * FIX Support and test one of 'sqeuclidean' specification Co-authored-by: Olivier Grisel <[email protected]> * FIX Various typos fix and correct haversine 'haversine' is not supported by cdist. * Directly use get_config * CLN Apply comments from review * Motivate swapped returned values * TST Remove mahalanobis from test fixtures * MNT Add comment regaduction functions' signatures * TST Complete test for `pairwise_distance_{argmin,argmin_min}` (#22371) * DOC Add sub-pull requests to the whats_new entry * DOC place comment inside functions * DOC move up whatsnew entry Co-authored-by: Thomas J. Fan <[email protected]> Co-authored-by: Christian Lorentzen <[email protected]> Co-authored-by: Olivier Grisel <[email protected]> Co-authored-by: Jérémie du Boisberranger <[email protected]>
thomasjpfan
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Mar 1, 2022
…min` (feature branch) (scikit-learn#22134) * MAINT Introduce Pairwise Distances Reductions private submodule (scikit-learn#22064) * MAINT Introduce FastEuclideanPairwiseArgKmin (scikit-learn#22065) * fixup! Merge branch 'main' into pairwise-distances-argkmin Remove duplicated Bunch * MAINT Plug `PairwiseDistancesArgKmin` as a back-end (scikit-learn#22288) * Forward pairwise_dist_chunk_size in the configuration * Flip finalized results for PairwiseDistancesArgKmin The previous would have made the code more complex by introducing some boilerplate for the interface plugs. Having it this way actually simplifies the code. This also removes the haversine branch for test_pairwise_distances_argkmin * Plug PairwiseDistancesArgKmin as a back-end * Adapt test accordingly * Add whats_new entry * Change input validation order for kneighbors * Remove duplicated test_neighbors_distance_metric_deprecation * Adapt the documentation * Add mahalanobis case to test fixtures * Correct whats_new entry * CLN Remove unneeded private metric attribute This was needed when 'fast_sqeuclidean' and 'fast_euclidean' were present to choose the best implementation based on the user specification. Those metric have been removed since then, making this attribute useless. * TST Assert FutureWarning instead of DeprecationWarning in test_neighbors_metrics * MAINT Add use_pairwise_dist_activate to scikit-learn config * TST Add a test for the 'brute' backends' results' consistency Co-authored-by: Thomas J. Fan <[email protected]> * fixup! MAINT Add use_pairwise_dist_activate to scikit-learn config * fixup! fixup! MAINT Add use_pairwise_dist_activate to scikit-learn config * TST Filter FutureWarning for WMinkowskiDistance * MAINT pin numpydoc in arm for now (scikit-learn#22292) * fixup! TST Filter FutureWarning for WMinkowskiDistance * Revert keywords arguments removal for the GEMM trick for 'euclidean' * MAINT pin max numpydoc for now (scikit-learn#22286) * Add 'haversine' to CDIST_PAIRWISE_DISTANCES_REDUCTION_COMMON_METRICS * fixup! Add 'haversine' to CDIST_PAIRWISE_DISTANCES_REDUCTION_COMMON_METRICS * Apply suggestions from code review * MAINT Document some config parameters for maintenance Also rename one of them. * FIX Support and test one of 'sqeuclidean' specification Co-authored-by: Olivier Grisel <[email protected]> * FIX Various typos fix and correct haversine 'haversine' is not supported by cdist. * Directly use get_config * CLN Apply comments from review * Motivate swapped returned values * TST Remove mahalanobis from test fixtures * MNT Add comment regaduction functions' signatures * TST Complete test for `pairwise_distance_{argmin,argmin_min}` (scikit-learn#22371) * DOC Add sub-pull requests to the whats_new entry * DOC place comment inside functions * DOC move up whatsnew entry Co-authored-by: Thomas J. Fan <[email protected]> Co-authored-by: Christian Lorentzen <[email protected]> Co-authored-by: Olivier Grisel <[email protected]> Co-authored-by: Jérémie du Boisberranger <[email protected]>
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numpydoc 1.2 is breaking many PRs on unrelated test failures (
test_check_docstring_parameters):There is no quick fix as several tests in
test_testingneeds to be updated. So in the mean time let's pin numpydoc.