Fix nightly builds#1193
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@jeromedockes Could you push a commit with the |
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@jovan-stojanovic I don't remember did you want to have another look at the deduplicate n clusters computation? |
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I think it would be good to have this in before we do a release this week |
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* bump version after 0.4.0 (#1162) * DOC Correct typo in TableReport docstring (#1168) * Add codespell support (#1126) * add python 3.13 (#1170) * add sections for the next release's changelogs (#1183) * Add a verbosity parameter to TableReport to control the printing of messages in stdout when opening summary report (#1182) * add verbose parameter to print_display to toggle on or off printing of progress messages when generating table report (#1188) * DOC add example for Cramer V for column_associations (#1186) * ENH adding alias "regression" and "classification" (#1180) * Bump codecov/codecov-action from 5.0.7 to 5.1.1 in the actions group (#1191) * remove use of matplotlib.rc_context (#1172) * MAINT adapt for scikit-learn 1.6 (#1135) * Revert "MAINT adapt for scikit-learn 1.6 (#1135)" (#1194) This reverts commit 18af508. * MAINT compatibility sklearn 1.6.0 (#1169) * MAINT fix nightly builds (#1193) * Updating contributing doc to add more detail on how to start (#1185) * FIX better display of object columns with multi-line repr in tablereport (#1196) * update changelog --------- Co-authored-by: Matt J. <matthieu.jouis@gmail.com> Co-authored-by: Yaroslav Halchenko <debian@onerussian.com> Co-authored-by: priscilla baah <66260270+priscilla-b@users.noreply.github.com> Co-authored-by: Reshama Shaikh <reshama.stat@gmail.com> Co-authored-by: mrastgoo <mojdeh.rastgoo@gmail.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Guillaume Lemaitre <guillaume@probabl.ai> Co-authored-by: Riccardo Cappuzzo <7548232+rcap107@users.noreply.github.com>
TheooJ
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adapt to the upcoming releases of pandas and scipy
mostly adjusting tests after pandas introduces the datetime64[s] and datetime64[us] types.
but also in deduplicate, I think guess_n_clusters was computing silhoutte scores for n_cluster ranging from to to n * (n -1) / 2 instead of 2 to n , where n is the number of unique values. now this results in an error from scipy but i guess it was a mistake anyway