Thanks to visit codestin.com
Credit goes to github.com

Skip to content

Release 1.2.1 #25442

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom
Merged
merged 93 commits into from
Jan 24, 2023
Merged

Release 1.2.1 #25442

merged 93 commits into from
Jan 24, 2023

Conversation

jjerphan
Copy link
Member

@jjerphan jjerphan commented Jan 20, 2023 •
edited by jeremiedbb
Loading

Release checklist as indicated in the docs:

Comments

Following #25436 (comment), #25114 and #25131 aren't part of this release.

Original commits at the start of the rebase 
cat git-rebase-todo-before

pick 5014d02b39 DOC correct link for image in the PDP documentation (#25054)
pick 02d45e580a DOC Update docs for making a release (#25047)
pick f9453d5765 MAINT Remove -Wcpp warnings when compiling sklearn.cluster._hierarchical_fast (#24914)
pick 18741d0b2a MAINT Bump version number to 1.3 (#25046)
pick 981fb3be07 DOC make interaction constraints a MajorFeature in whatsnew (#25055)
pick b2ee09535f MAINT Update what's new 1.2 (#25057)
pick 2ee1c0d5c6 MAINT Parameters validation for sklearn.metrics.zero_one_loss (#25025)
pick 35b826a49c TST use global_dtype in sklearn/manifold/tests/test_isomap.py (#22673)
pick 86080bbd5f ENH cartesian accepts mixed dtypes arrays (#25067)
pick 808c32df07 MAINT Remove -Wcpp warnings when compiling sklearn.linear_model._sag_fast (#24975)
pick f7239bf1a1 BLD Reduce binary size of wheels (#25063)
pick 31909634cf MAINT Parameters validation for `sklearn.metrics.mean_absolute_error` (#24943)
pick 7e0ed1ec00 MAINT Parameters validation for sklearn.metrics.auc (#25008)
pick 2d475c0d36 MAINT Parameters validation for cluster.estimate_bandwidth (#24869)
pick 8d9d6793a9 MAINT Parameters validation for `sklearn.feature_extraction.grid_to_graph` (#24887)
pick 167b2980b9 MAINT Parameters validation for `sklearn.feature_extraction.image.img_to_graph` (#24886)
pick f2f3b3cef0 MAINT Remove `-Wcpp` warnings when compiling `sklearn.manifold._utils` (#24925)
pick 4501959493 DOC adding PDP for categorical features in highlights (#25065)
pick 599e03cb07 MAINT Handle `Criterion.samples` using a memoryview (#25005)
pick 2b34dfde24 DOC Improve docs of BaseLabelPropagation.transduction_ (#24985)
pick 04f3298727 DOC fix typo in cross_validate docstring (#25090)
pick 7af5297c9f CI Fixes CI for windows (#25091)
pick c04724114a FIX Array validation for DecisionBoundaryDisplay (#25077)
pick 54d91d3cbe FIX Fixes check_array for pd.NA in a series (#25080)
pick 5e25f8e06d MAINT Make param validation more lenient towards downstream dependencies (#25088)
pick c557080d39 ENH better error message in HGBRT with feature names (#25092)
pick caefdd4790 MAINT adjust tolerance in test_balance_property (#25098)
pick 4dde64d61e MAINT Remove warnings in vendored `lib{linear,svm}` C++ code (#24998)
pick d52e946fa4 MNT Require matplotlib in test_input_data_dimension test (#25104)
pick b01f018c9b FIX ignore *args and **kwargs in parameter validation of public functions (#25114)
pick 1f9dc717f4 FIX always expose best_loss_, validation_scores_, and best_validation_score (#24683)
pick f7e6977a08 FEA Adds FeatureUnion.__getitem__ to access transformers (#25093)
pick 14130f44eb MAINT Allow partial param validation for functions (#25087)
pick 981e728b81 update release checklist regarding SECURITY.md (#25122)
pick 6643c2ceae MAINT Parameters validation for `metrics.roc_curve` (#25108)
pick 929b3dc188 FIX pos_label constraint in roc_curve (param validation) (#25131)
pick e99cd11eb5 FIX Remove spurious `UserWarning` (#25129)
pick 9527920c3d BLD Reduces size of wheels by stripping symbols (#25123)
pick 556454121e MAINT Remove -Wcpp warnings when compiling `_kd_tree` and `_ball_tree` (#24965)
pick 29b4cca3c0 CI Fixes Azure atlas CI job (#25136)
pick 0057118016 MAINT update SECURITY.md (#25138)
pick 0266481aeb DOC Add missing step to the "making a release" checklist (#25139)
pick 17b8278342 MNT parameter validation for covariance.empirical_covariance (#25146)
pick 754bd5245a MAINT validate parameters of Pipeline (#25133)
pick a576bcc22f FIX Convert boolean pd.Series to boolean ndarrays (#25147)
pick 743fe8e5a2 CI Introduces macOS arm64 wheel building with Cirrus CI [cd build cirrus] (#25048)
pick 530fb72856 MAINT exclude cirrus.star from MANIFEST (#25185)
pick f2c78fe8c5 MAINT handle deprecations from `importlib.resources` (#25157)
pick e1ec3f99a3 CI Adds quicker CI failure to reduce resource usage (#21497)
pick c0eb3d3724 DOC improve inline comments in SAGA (#25100)
pick 1f3c1be77a ENH add support for sample_weight in KBinsDiscretizer with strategy="quantile" (#24935)
pick 53a16094d2 MAINT sync lobpcg with SciPy main (#25176)
pick bd3ab49781 ENH improve error messages for invalid categorical variables in HGBDT (#25173)
pick 6367597810 MAINT Remove -Wcpp warnings when compiling sklearn.ensemble._gradient_boosting (#25033)
pick 205f3b76ef MAINT Remove `_arr` suffixes from `_binary_tree` (#25106)
pick a0829ac893 Use `check_array` to validate `y` (#25089)
pick b0bf2315a7 MAINT fix deprecation raised in scipy-dev build (#25175)
pick 9017c70183 FIX fix pickling for empty object with Python 3.11+ (#25188)
pick 708b810742 DOC fix rendering of versionadded (#25211)
pick 2bb0340b9d MAINT parameters validation for sklearn.metrics.r2_score (#25155)
pick ce89a4ff15 MAINT use parameter validation framework for ColumnTransformer (#25137)
pick 6235bce4ea DOC add link to Korean documentation translation (#25205)
pick fba66ded6c FIX Allow tuple for ColumnTransformer 'transformers' parameter (#25222)
pick 0b202caf56 ENH Add option to pass custom scorer for RandomForest OOB calculation (#25177)
pick c78a422edc DOC consistency fixes in multiclass estimators docstring (#25226)
pick ecb9a70e82 FIX Ensure dtype of categories is `object` for strings in `OneHotEncoder` (#25174)
pick efddd9afeb MAINT Parameters validation for metrics.cohen_kappa_score (#25233)
pick f9c454d6b7 MAINT Parameters validation for make_sparse_coded_signal (#25152)
pick 209c132786 MAINT add parameter validation for SearchCV (#25151)
pick 0ab47124fc MAINT Parameters validation for decomposition.sparse_encode (#25061)
pick 8a9635f588 MAINT Parameters validation for classification.confusion_matrix (#25141)
pick 15327787c1 MAINT Parameters validation for `sklearn.metrics.mean_tweedie_deviance` (#25234)
pick 9a90af5151 MAINT Parameters validation for covariance.ledoit_wolf (#24870)
pick a4d470838f MAINT Parameters validation for `covariance.oas` (#24904)
pick ec95edc810 MAINT validate parameter for affinity_propagation (#25026)
pick a7e513c62b MAINT Parameters validation for sklearn.feature_extraction.image.extract_patches_2d (#25149)
pick 1280e099a4 TST check error consistency when calling get_feature_names_out on unfitted estimator (#25223)
pick 3a30538113 MAINT Parameters validation for `fastica` (#24924)
pick 8256a48519 MAINT Parameters validation for metrics.mutual_info_score (#25243)
pick de16d93969 MAINT Refactors __reduce__ to parent splitter (#25199)
pick 6227ee1de7 MNT Remove unneeded computation (#25194)
pick 6261579c1f MAINT Parameters validation for cluster.cluster_optics_dbscan (#25007)
pick d17d0f9f72 FIX `cross_validate` with multimetric scoring returns the non-failed scorers results even if some fail (#23101)
pick 5aa9b99114 MAINT Parameters validation for decomposition.dict_learning (#24871)
pick affaa62b1d ENH added original version of pickled estimator in state dict (#22094)
pick f86aae2ccc MAINT Parameters validation for sklearn.metrics.multilabel_confusion_matrix (#25248)
pick d00d983279 MAINT Parameters validation for cluster.compute_optics_graph (#25245)
pick 2cce02414d TST Add common tests for single class fitting induced by sample weights (#24140)
pick 190c214341 MAINT Parameter validation for sklearn.metrics.mean_squared_error (#25260)
pick ebfaf8e9ff MAINT Parameter validation for sklearn.metrics.det_curve (#25256)
pick a7728f6036 DOC fix typo in logistic regression (#25263)
pick 96a0bc861a ENH remove redundant expr in min_max_dist (#25262)
pick 8679db47e1 FIX regression due to memoryview in SGD when using verbose (#25250)
pick bd555228f7 FIX deprecate sample_weight in predict method of BaseKMeans (#25251)
pick 53123d0cc5 MAINT Parameters validation for sklearn.covariance.shrunk_covariance (#25269)
pick ce00ba817e MAINT Parameters validation for sklearn.datasets.fetch_california_housing (#25265)
pick 1c6e182f92 MAINT Remove -Wcpp warnings when compiling sklearn.svm._libsvm (#25064)
pick e0041bc44a DOC include kernel_approx ref in svm (#25266)
pick f30d35befd Revert "ENH added original version of pickled estimator in state dict" (#25279)
pick 8d74f16582 FIX Handles all numerical DataFrames with check_inverse=True in FunctionTransformer (#25274)
pick 375df8f715 TST use global_random_seed in sklearn/covariance/tests/test_elliptic_envelope.py (#25272)
pick 29317601c3 FIX Raises informative error in FeatureHasher when a sample is a single string (#25094)
pick cde6d65794 ENH KBinsDiscretizer sample_weight support for kmeans strategy (#25257)
pick e411c29625 MNT Enable O3 optimization for trees (#25277)
pick 97fe999f47 FIX Allow input validation by pass in MLPClassifier (#24873)
pick 906faa5574 DOC Minor refinements of lars_path docstring (#25235)
pick 62a017efa0 MAINT use ArgKmin in OutputCodeClassifier (#25196)
pick 0fe2b2c8ca MAINT Remove -Wcpp warnings when compiling sklearn.neighbors._quad_tree (#25225)
pick e0a29df428 MAINT remove -Wsign-compare when compiling `sklearn.utils.sparsefuncs_fast` (#25244)
pick 35b5ee6577 ENH Raise NotFittedError in get_feature_names_out for estimators that use OnetoOneFeatureMixin  (#25294)
pick 9e61f7895b MAINT update sklearn-ci email to [email protected] (#25302)
pick 3efdc8965f Document config_context and transform output (#25289)
pick ba1d23d13e TST Remove ConvergenceWarnings in test_logistic (#25062)
pick 38d7fba586 MAINT Parameters validation for sklearn.random_projection.johnson_lindenstrauss_min_dim (#25278)
pick 37bd51d935 ENH Raise NotFittedError in get_feature_names_out for AdditiveChi2Sampler (#25291)
pick 9e08ed2279 DOC fix formatting changelog (#25315)
pick 0a36bd8892 MAINT Remove -Wcpp warnings when compiling sklearn.svm._liblinear (#25112)
pick f7e5f412dd CI fix test in scipy-dev build following deprecation of array elementwise comparison with string (#25316)
pick fb9c549689 FIX Add stride to `y` in `_ger_memview` (#25323)
pick 860b34c5b3 DOC fix typo in euclidean_distances (#25331)
pick bc00bdce93 DOC document how to generate a valid CIRCLE_CI_TOKEN (#25338)
pick 44bf2abffc DOC fix typo in doc/developers/contributing.rst (#25343) (#25344)
pick a0a6ea744f FIX Fixes transform wrappig in _SetOutputMixin (#25295)
pick 2c7d1ef84b TST Fixes set random seed for test_multinomial_binary_probabilities (#25352)
pick d3c365e2d4 CI Only run cirrus on the scikit-learn repo (#25349)
pick 5a3c057c0d MNT Fixes convergence issue in test_logistic.py (#25345)
pick c892ade837 DOC Improve documentation regarding some pitfalls in interpretation (#20451)
pick 93533ddaff MNT Refactor tree to share splitters between dense and sparse data (#25306)
pick 5b23a2d77b MAINT always seed make_classification in tests (#25353)
pick 26aaa8698b MNT minor clean-up of sklearn/conftests.py (#25358)
pick fdbe4413b7 CI Remove unused env var (#25359)
pick 7d47190cef MNT [scipy-dev] [pypy] [azure parallel] update lock files (#25361)
pick 6ce482c127 TST use global_random_seed in sklearn/cluster/tests/test_hierarchical.py (#25281)
pick f5ae73dcb4 CI Use latest Cython sources in scipy-dev build (#25300)
pick 52e89a4e17 MAINT Clean deprecations in MiniBatchDictionaryLearning (#25357)
pick c676917697 FEA Store the  GradientBoosting OOB Scores in the `oob_score(s)_` fitted attributes (#24882)
pick 70c690ebdd ENH Adds InconsistentVersionWarning when unpickling version doesn't match (#25297)
pick 3bc36e000d ENH Add feature_name_combiner to OneHotEncoder (#22506)
pick 55f024f489 DOC replace markdown by rst (#25368)
pick 8b06f6a979 DOC update the documentation of fit of stateless transformers (#25191)
pick ee1f6048ad DOC Includes jquery to fix website (#25371)
pick c3fca81536 FIX Support read-only sparse datasets for `Tree`-based estimators (#25341)
pick 464922b4ac DOC only use chi2 on binary and counts features (#24684)
pick 2fd6e34f2b DOC Adds sklearn-evaluation to related_projects (#25375)
pick dc7ef61d0d CI Migrate Linux ARM job to CirrusCI (#25366)
pick f45a9071e1 FIX skip space after delimiter in fetch_openml when using pandas parser (#25312)
pick 5af8c6b080 CI Adds arm wheel build in cirrus CI (#25362)
pick fbd95f1764 FIX Set TSNE's internal PCA to always use numpy as output (#25370)
pick 0867da5954 DOC Adds logo back to navbar (#25382)
pick 6823e20e10 CI Make no-OpenMP build fail with unprotected `cimport openmp` (#25391)
pick dec902a7a5 MAINT Parameters validation for sklearn.metrics.cluster.contingency_matrix (#25309)
pick 769ae439f0 MAINT fix typo in comments of t-SNE code base (#25394)
pick bf40b5b622 CI sanitize commit message for Azure (#25376)
pick f34994003e MAINT Parameters validation for cluster.ward_tree (#25388)
pick 2ee3418339 MAINT Parameters validation for metrics.balanced_accuracy_score (#25335)
pick f7eea97809 MAINT Parameters validation for sklearn.metrics.average_precision_score (#25318)
pick 1a4cc0bb85 Fix color maps of contour and scatter plots. (#25329)
pick d61efb6363 DOC fix typo in docstring of RandomizedSearchCV (#25396)
pick 475ee60ad1 DOC cross-reference the term metaestimator in SelfTrainingClassifier (#25325)
pick d3811dcaa2 MAINT Remove -Wsign-compare warnings when compiling sklearn.neighbors._quad_tree (#25271)
pick 9b536c1db9 DOC Add ledoit_wolf_shrinkage reference to the public api (#25255)
pick bf03a63546 ENH add feature_names_in_ in FeatureUnion (#25220)
pick 550fa9c28c MAINT Remove -Wcpp warnings when compiling sklearn.svm._libsvm_sparse (#25337)
pick 71ca9258d3 CI Update conda-lock from 1.2.1 to 1.3.0 (#25404)
pick d5fcb20b39 DOC fix name of estimator used when referring to code example (#25408)
pick 2e63d2e41a ENH Raise NotFittedError in get_feature_names_out for Stacking and Voting - Classifier and Regressor (#25324)
pick 71a647f8bc FIX expose fill_value in IterativeImputer (#25232)
pick d60af3de41 MNT fix test following scipy dev change (#25393)
pick f1340c73ab CI Adapt handling of discarded fused typed memoryview (#25425)
pick 8ce4a67ef5 MAINT Parameters validation for sklearn.metrics.hamming_loss (#25347)
pick a18a1edfea MAINT Parameters validation for metrics.median_absolute_error (#25410)
pick 7c91462fdb ENH Raise NotFittedError in get_feature_names_out for Imputers and Isotonic Regression (#25367)
pick 1e9829ae1c DOC Fix typo in LogisticRegressionCV (#25428)
pick 5f70c4468c BLD Update Cython minimum version to `0.29.33` (#25342)
pick eb8d45e666 MNT Reduces the number of runs for circleci redirector job (#25426)
pick 134c492bf0 CI Enable native osx-arm64 wheels on Python 3.8 (#25427)
pick e010e4f007 MAINT make `AdditiveChi2Sampler` stateless and check that stateless `Transformers` don't raise `NotFittedError` (#25190)
pick 55eaa4ba5c FIX SplineTransformer.get_feature_names_out returns correct names for extrapolations=periodic (#25296)
pick 0260283326 DOC Add detail about dataframe passthrough columns (#25423)
pick d431d7e911 FIX Better support large or read-only datasets in `decomposition.DictionaryLearning` (#25172)
pick cfd428afc5 FIX online updates in MiniBatchDictionaryLearning (#25354)
pick 4b55dee764 DOC Rework Importance of Feature Scaling example (#25012)
pick 3f82f84059 ENH Introduces the __sklearn_clone__ protocol (#24568)
pick 2248b4a078 DOC Update "About Us" (#25435)
pick c3340c029b DOC Improve visibility of warning message on example "Pitfalls in the interpretation of coefficients of linear models" (#25441)
pick 4162ade89a DOC Update changelog before the 1.2.1 release (#25436)
pick de084fc3f0 CI Update nogil lock file (#25437)
pick a7cd0ca44d FIX propagate configuration to workers in parallel (#25363)
pick b3bd78a275 CI Update nogil lock file (#25455)

# Rebase 98cf537f5c..b3bd78a275 onto 98cf537f5c (189 commands)
#
# Commands:
# p, pick <commit> = use commit
# r, reword <commit> = use commit, but edit the commit message
# e, edit <commit> = use commit, but stop for amending
# s, squash <commit> = use commit, but meld into previous commit
# f, fixup [-C | -c] <commit> = like "squash" but keep only the previous
#                    commit's log message, unless -C is used, in which case
#                    keep only this commit's message; -c is same as -C but
#                    opens the editor
# x, exec <command> = run command (the rest of the line) using shell
# b, break = stop here (continue rebase later with 'git rebase --continue')
# d, drop <commit> = remove commit
# l, label <label> = label current HEAD with a name
# t, reset <label> = reset HEAD to a label
# m, merge [-C <commit> | -c <commit>] <label> [# <oneline>]
#         create a merge commit using the original merge commit's
#         message (or the oneline, if no original merge commit was
#         specified); use -c <commit> to reword the commit message
# u, update-ref <ref> = track a placeholder for the <ref> to be updated
#                       to this position in the new commits. The <ref> is
#                       updated at the end of the rebase
#
# These lines can be re-ordered; they are executed from top to bottom.
#
# If you remove a line here THAT COMMIT WILL BE LOST.
#
# However, if you remove everything, the rebase will be aborted.
#
Chosen commit for the rebase 
cat git-rebase-todo-after

pick 5014d02b39 DOC correct link for image in the PDP documentation (#25054)
pick 02d45e580a DOC Update docs for making a release (#25047)
pick 981fb3be07 DOC make interaction constraints a MajorFeature in whatsnew (#25055)
pick b2ee09535f MAINT Update what's new 1.2 (#25057)
pick 35b826a49c TST use global_dtype in sklearn/manifold/tests/test_isomap.py (#22673)
pick f7239bf1a1 BLD Reduce binary size of wheels (#25063)
pick 4501959493 DOC adding PDP for categorical features in highlights (#25065)
pick 2b34dfde24 DOC Improve docs of BaseLabelPropagation.transduction_ (#24985)
pick 04f3298727 DOC fix typo in cross_validate docstring (#25090)
pick 7af5297c9f CI Fixes CI for windows (#25091)
pick c04724114a FIX Array validation for DecisionBoundaryDisplay (#25077)
pick 54d91d3cbe FIX Fixes check_array for pd.NA in a series (#25080)
pick 5e25f8e06d MAINT Make param validation more lenient towards downstream dependencies (#25088)
pick caefdd4790 MAINT adjust tolerance in test_balance_property (#25098)
pick d52e946fa4 MNT Require matplotlib in test_input_data_dimension test (#25104)
pick 1f9dc717f4 FIX always expose best_loss_, validation_scores_, and best_validation_score (#24683)
pick 14130f44eb MAINT Allow partial param validation for functions (#25087)
pick 981e728b81 update release checklist regarding SECURITY.md (#25122)
pick e99cd11eb5 FIX Remove spurious `UserWarning` (#25129)
pick 9527920c3d BLD Reduces size of wheels by stripping symbols (#25123)
pick 29b4cca3c0 CI Fixes Azure atlas CI job (#25136)
pick 0057118016 MAINT update SECURITY.md (#25138)
pick 0266481aeb DOC Add missing step to the "making a release" checklist (#25139)
pick a576bcc22f FIX Convert boolean pd.Series to boolean ndarrays (#25147)
pick 743fe8e5a2 CI Introduces macOS arm64 wheel building with Cirrus CI [cd build cirrus] (#25048)
pick 530fb72856 MAINT exclude cirrus.star from MANIFEST (#25185)
pick f2c78fe8c5 MAINT handle deprecations from `importlib.resources` (#25157)
pick e1ec3f99a3 CI Adds quicker CI failure to reduce resource usage (#21497)
pick c0eb3d3724 DOC improve inline comments in SAGA (#25100)
pick 53a16094d2 MAINT sync lobpcg with SciPy main (#25176)
pick a0829ac893 Use `check_array` to validate `y` (#25089)
pick b0bf2315a7 MAINT fix deprecation raised in scipy-dev build (#25175)
pick 9017c70183 FIX fix pickling for empty object with Python 3.11+ (#25188)
pick 708b810742 DOC fix rendering of versionadded (#25211)
pick 6235bce4ea DOC add link to Korean documentation translation (#25205)
pick c78a422edc DOC consistency fixes in multiclass estimators docstring (#25226)
pick ecb9a70e82 FIX Ensure dtype of categories is `object` for strings in `OneHotEncoder` (#25174)
pick 1280e099a4 TST check error consistency when calling get_feature_names_out on unfitted estimator (#25223)
pick d17d0f9f72 FIX `cross_validate` with multimetric scoring returns the non-failed scorers results even if some fail (#23101)
pick 2cce02414d TST Add common tests for single class fitting induced by sample weights (#24140)
pick a7728f6036 DOC fix typo in logistic regression (#25263)
pick 8679db47e1 FIX regression due to memoryview in SGD when using verbose (#25250)
pick e0041bc44a DOC include kernel_approx ref in svm (#25266)
pick 8d74f16582 FIX Handles all numerical DataFrames with check_inverse=True in FunctionTransformer (#25274)
pick 375df8f715 TST use global_random_seed in sklearn/covariance/tests/test_elliptic_envelope.py (#25272)
pick 29317601c3 FIX Raises informative error in FeatureHasher when a sample is a single string (#25094)
pick e411c29625 MNT Enable O3 optimization for trees (#25277)
pick 97fe999f47 FIX Allow input validation by pass in MLPClassifier (#24873)
pick 906faa5574 DOC Minor refinements of lars_path docstring (#25235)
pick 9e61f7895b MAINT update sklearn-ci email to [email protected] (#25302)
pick 3efdc8965f Document config_context and transform output (#25289)
pick ba1d23d13e TST Remove ConvergenceWarnings in test_logistic (#25062)
pick 9e08ed2279 DOC fix formatting changelog (#25315)
pick f7e5f412dd CI fix test in scipy-dev build following deprecation of array elementwise comparison with string (#25316)
pick 860b34c5b3 DOC fix typo in euclidean_distances (#25331)
pick bc00bdce93 DOC document how to generate a valid CIRCLE_CI_TOKEN (#25338)
pick 44bf2abffc DOC fix typo in doc/developers/contributing.rst (#25343) (#25344)
pick a0a6ea744f FIX Fixes transform wrappig in _SetOutputMixin (#25295)
pick 2c7d1ef84b TST Fixes set random seed for test_multinomial_binary_probabilities (#25352)
pick d3c365e2d4 CI Only run cirrus on the scikit-learn repo (#25349)
pick 5a3c057c0d MNT Fixes convergence issue in test_logistic.py (#25345)
pick c892ade837 DOC Improve documentation regarding some pitfalls in interpretation (#20451)
pick 5b23a2d77b MAINT always seed make_classification in tests (#25353)
pick 26aaa8698b MNT minor clean-up of sklearn/conftests.py (#25358)
pick fdbe4413b7 CI Remove unused env var (#25359)
pick 7d47190cef MNT [scipy-dev] [pypy] [azure parallel] update lock files (#25361)
pick 6ce482c127 TST use global_random_seed in sklearn/cluster/tests/test_hierarchical.py (#25281)
pick f5ae73dcb4 CI Use latest Cython sources in scipy-dev build (#25300)
pick 55f024f489 DOC replace markdown by rst (#25368)
pick 8b06f6a979 DOC update the documentation of fit of stateless transformers (#25191)
pick ee1f6048ad DOC Includes jquery to fix website (#25371)
pick c3fca81536 FIX Support read-only sparse datasets for `Tree`-based estimators (#25341)
pick 464922b4ac DOC only use chi2 on binary and counts features (#24684)
pick 2fd6e34f2b DOC Adds sklearn-evaluation to related_projects (#25375)
pick dc7ef61d0d CI Migrate Linux ARM job to CirrusCI (#25366)
pick f45a9071e1 FIX skip space after delimiter in fetch_openml when using pandas parser (#25312)
pick 5af8c6b080 CI Adds arm wheel build in cirrus CI (#25362)
pick fbd95f1764 FIX Set TSNE's internal PCA to always use numpy as output (#25370)
pick 0867da5954 DOC Adds logo back to navbar (#25382)
pick 6823e20e10 CI Make no-OpenMP build fail with unprotected `cimport openmp` (#25391)
pick 769ae439f0 MAINT fix typo in comments of t-SNE code base (#25394)
pick bf40b5b622 CI sanitize commit message for Azure (#25376)
pick 1a4cc0bb85 Fix color maps of contour and scatter plots. (#25329)
pick d61efb6363 DOC fix typo in docstring of RandomizedSearchCV (#25396)
pick 475ee60ad1 DOC cross-reference the term metaestimator in SelfTrainingClassifier (#25325)
pick 71ca9258d3 CI Update conda-lock from 1.2.1 to 1.3.0 (#25404)
pick d5fcb20b39 DOC fix name of estimator used when referring to code example (#25408)
pick d60af3de41 MNT fix test following scipy dev change (#25393)
pick f1340c73ab CI Adapt handling of discarded fused typed memoryview (#25425)
pick 1e9829ae1c DOC Fix typo in LogisticRegressionCV (#25428)
pick eb8d45e666 MNT Reduces the number of runs for circleci redirector job (#25426)
pick 134c492bf0 CI Enable native osx-arm64 wheels on Python 3.8 (#25427)
pick 55eaa4ba5c FIX SplineTransformer.get_feature_names_out returns correct names for extrapolations=periodic (#25296)
pick 0260283326 DOC Add detail about dataframe passthrough columns (#25423)
pick d431d7e911 FIX Better support large or read-only datasets in `decomposition.DictionaryLearning` (#25172)
pick cfd428afc5 FIX online updates in MiniBatchDictionaryLearning (#25354)
pick 4b55dee764 DOC Rework Importance of Feature Scaling example (#25012)
pick 2248b4a078 DOC Update "About Us" (#25435)
pick c3340c029b DOC Improve visibility of warning message on example "Pitfalls in the interpretation of coefficients of linear models" (#25441)
pick 4162ade89a DOC Update changelog before the 1.2.1 release (#25436)
pick a7cd0ca44d FIX propagate configuration to workers in parallel (#25363)

# Rebase 98cf537f5c..b3bd78a275 onto 98cf537f5c (189 commands)
#
# Commands:
# p, pick <commit> = use commit
# r, reword <commit> = use commit, but edit the commit message
# e, edit <commit> = use commit, but stop for amending
# s, squash <commit> = use commit, but meld into previous commit
# f, fixup [-C | -c] <commit> = like "squash" but keep only the previous
#                    commit's log message, unless -C is used, in which case
#                    keep only this commit's message; -c is same as -C but
#                    opens the editor
# x, exec <command> = run command (the rest of the line) using shell
# b, break = stop here (continue rebase later with 'git rebase --continue')
# d, drop <commit> = remove commit
# l, label <label> = label current HEAD with a name
# t, reset <label> = reset HEAD to a label
# m, merge [-C <commit> | -c <commit>] <label> [# <oneline>]
#         create a merge commit using the original merge commit's
#         message (or the oneline, if no original merge commit was
#         specified); use -c <commit> to reword the commit message
# u, update-ref <ref> = track a placeholder for the <ref> to be updated
#                       to this position in the new commits. The <ref> is
#                       updated at the end of the rebase
#
# These lines can be re-ordered; they are executed from top to bottom.
#
# If you remove a line here THAT COMMIT WILL BE LOST.
#
# However, if you remove everything, the rebase will be aborted.
#
Excluded commit 
diff git-rebase-todo-before git-rebase-todo-after

3,4d2
< pick f9453d5765 MAINT Remove -Wcpp warnings when compiling sklearn.cluster._hierarchical_fast (#24914)
< pick 18741d0b2a MAINT Bump version number to 1.3 (#25046)
7d4
< pick 2ee1c0d5c6 MAINT Parameters validation for sklearn.metrics.zero_one_loss (#25025)
9,10d5
< pick 86080bbd5f ENH cartesian accepts mixed dtypes arrays (#25067)
< pick 808c32df07 MAINT Remove -Wcpp warnings when compiling sklearn.linear_model._sag_fast (#24975)
12,17d6
< pick 31909634cf MAINT Parameters validation for `sklearn.metrics.mean_absolute_error` (#24943)
< pick 7e0ed1ec00 MAINT Parameters validation for sklearn.metrics.auc (#25008)
< pick 2d475c0d36 MAINT Parameters validation for cluster.estimate_bandwidth (#24869)
< pick 8d9d6793a9 MAINT Parameters validation for `sklearn.feature_extraction.grid_to_graph` (#24887)
< pick 167b2980b9 MAINT Parameters validation for `sklearn.feature_extraction.image.img_to_graph` (#24886)
< pick f2f3b3cef0 MAINT Remove `-Wcpp` warnings when compiling `sklearn.manifold._utils` (#24925)
19d7
< pick 599e03cb07 MAINT Handle `Criterion.samples` using a memoryview (#25005)
26d13
< pick c557080d39 ENH better error message in HGBRT with feature names (#25092)
28d14
< pick 4dde64d61e MAINT Remove warnings in vendored `lib{linear,svm}` C++ code (#24998)
30d15
< pick b01f018c9b FIX ignore *args and **kwargs in parameter validation of public functions (#25114)
32d16
< pick f7e6977a08 FEA Adds FeatureUnion.__getitem__ to access transformers (#25093)
35,36d18
< pick 6643c2ceae MAINT Parameters validation for `metrics.roc_curve` (#25108)
< pick 929b3dc188 FIX pos_label constraint in roc_curve (param validation) (#25131)
39d20
< pick 556454121e MAINT Remove -Wcpp warnings when compiling `_kd_tree` and `_ball_tree` (#24965)
43,44d23
< pick 17b8278342 MNT parameter validation for covariance.empirical_covariance (#25146)
< pick 754bd5245a MAINT validate parameters of Pipeline (#25133)
51d29
< pick 1f3c1be77a ENH add support for sample_weight in KBinsDiscretizer with strategy="quantile" (#24935)
53,55d30
< pick bd3ab49781 ENH improve error messages for invalid categorical variables in HGBDT (#25173)
< pick 6367597810 MAINT Remove -Wcpp warnings when compiling sklearn.ensemble._gradient_boosting (#25033)
< pick 205f3b76ef MAINT Remove `_arr` suffixes from `_binary_tree` (#25106)
60,61d34
< pick 2bb0340b9d MAINT parameters validation for sklearn.metrics.r2_score (#25155)
< pick ce89a4ff15 MAINT use parameter validation framework for ColumnTransformer (#25137)
63,64d35
< pick fba66ded6c FIX Allow tuple for ColumnTransformer 'transformers' parameter (#25222)
< pick 0b202caf56 ENH Add option to pass custom scorer for RandomForest OOB calculation (#25177)
67,76d37
< pick efddd9afeb MAINT Parameters validation for metrics.cohen_kappa_score (#25233)
< pick f9c454d6b7 MAINT Parameters validation for make_sparse_coded_signal (#25152)
< pick 209c132786 MAINT add parameter validation for SearchCV (#25151)
< pick 0ab47124fc MAINT Parameters validation for decomposition.sparse_encode (#25061)
< pick 8a9635f588 MAINT Parameters validation for classification.confusion_matrix (#25141)
< pick 15327787c1 MAINT Parameters validation for `sklearn.metrics.mean_tweedie_deviance` (#25234)
< pick 9a90af5151 MAINT Parameters validation for covariance.ledoit_wolf (#24870)
< pick a4d470838f MAINT Parameters validation for `covariance.oas` (#24904)
< pick ec95edc810 MAINT validate parameter for affinity_propagation (#25026)
< pick a7e513c62b MAINT Parameters validation for sklearn.feature_extraction.image.extract_patches_2d (#25149)
78,82d38
< pick 3a30538113 MAINT Parameters validation for `fastica` (#24924)
< pick 8256a48519 MAINT Parameters validation for metrics.mutual_info_score (#25243)
< pick de16d93969 MAINT Refactors __reduce__ to parent splitter (#25199)
< pick 6227ee1de7 MNT Remove unneeded computation (#25194)
< pick 6261579c1f MAINT Parameters validation for cluster.cluster_optics_dbscan (#25007)
84,87d39
< pick 5aa9b99114 MAINT Parameters validation for decomposition.dict_learning (#24871)
< pick affaa62b1d ENH added original version of pickled estimator in state dict (#22094)
< pick f86aae2ccc MAINT Parameters validation for sklearn.metrics.multilabel_confusion_matrix (#25248)
< pick d00d983279 MAINT Parameters validation for cluster.compute_optics_graph (#25245)
89,90d40
< pick 190c214341 MAINT Parameter validation for sklearn.metrics.mean_squared_error (#25260)
< pick ebfaf8e9ff MAINT Parameter validation for sklearn.metrics.det_curve (#25256)
92d41
< pick 96a0bc861a ENH remove redundant expr in min_max_dist (#25262)
94,97d42
< pick bd555228f7 FIX deprecate sample_weight in predict method of BaseKMeans (#25251)
< pick 53123d0cc5 MAINT Parameters validation for sklearn.covariance.shrunk_covariance (#25269)
< pick ce00ba817e MAINT Parameters validation for sklearn.datasets.fetch_california_housing (#25265)
< pick 1c6e182f92 MAINT Remove -Wcpp warnings when compiling sklearn.svm._libsvm (#25064)
99d43
< pick f30d35befd Revert "ENH added original version of pickled estimator in state dict" (#25279)
103d46
< pick cde6d65794 ENH KBinsDiscretizer sample_weight support for kmeans strategy (#25257)
107,110d49
< pick 62a017efa0 MAINT use ArgKmin in OutputCodeClassifier (#25196)
< pick 0fe2b2c8ca MAINT Remove -Wcpp warnings when compiling sklearn.neighbors._quad_tree (#25225)
< pick e0a29df428 MAINT remove -Wsign-compare when compiling `sklearn.utils.sparsefuncs_fast` (#25244)
< pick 35b5ee6577 ENH Raise NotFittedError in get_feature_names_out for estimators that use OnetoOneFeatureMixin  (#25294)
114,115d52
< pick 38d7fba586 MAINT Parameters validation for sklearn.random_projection.johnson_lindenstrauss_min_dim (#25278)
< pick 37bd51d935 ENH Raise NotFittedError in get_feature_names_out for AdditiveChi2Sampler (#25291)
117d53
< pick 0a36bd8892 MAINT Remove -Wcpp warnings when compiling sklearn.svm._liblinear (#25112)
119d54
< pick fb9c549689 FIX Add stride to `y` in `_ger_memview` (#25323)
128d62
< pick 93533ddaff MNT Refactor tree to share splitters between dense and sparse data (#25306)
135,138d68
< pick 52e89a4e17 MAINT Clean deprecations in MiniBatchDictionaryLearning (#25357)
< pick c676917697 FEA Store the  GradientBoosting OOB Scores in the `oob_score(s)_` fitted attributes (#24882)
< pick 70c690ebdd ENH Adds InconsistentVersionWarning when unpickling version doesn't match (#25297)
< pick 3bc36e000d ENH Add feature_name_combiner to OneHotEncoder (#22506)
151d80
< pick dec902a7a5 MAINT Parameters validation for sklearn.metrics.cluster.contingency_matrix (#25309)
154,156d82
< pick f34994003e MAINT Parameters validation for cluster.ward_tree (#25388)
< pick 2ee3418339 MAINT Parameters validation for metrics.balanced_accuracy_score (#25335)
< pick f7eea97809 MAINT Parameters validation for sklearn.metrics.average_precision_score (#25318)
160,163d85
< pick d3811dcaa2 MAINT Remove -Wsign-compare warnings when compiling sklearn.neighbors._quad_tree (#25271)
< pick 9b536c1db9 DOC Add ledoit_wolf_shrinkage reference to the public api (#25255)
< pick bf03a63546 ENH add feature_names_in_ in FeatureUnion (#25220)
< pick 550fa9c28c MAINT Remove -Wcpp warnings when compiling sklearn.svm._libsvm_sparse (#25337)
166,167d87
< pick 2e63d2e41a ENH Raise NotFittedError in get_feature_names_out for Stacking and Voting - Classifier and Regressor (#25324)
< pick 71a647f8bc FIX expose fill_value in IterativeImputer (#25232)
170,172d89
< pick 8ce4a67ef5 MAINT Parameters validation for sklearn.metrics.hamming_loss (#25347)
< pick a18a1edfea MAINT Parameters validation for metrics.median_absolute_error (#25410)
< pick 7c91462fdb ENH Raise NotFittedError in get_feature_names_out for Imputers and Isotonic Regression (#25367)
174d90
< pick 5f70c4468c BLD Update Cython minimum version to `0.29.33` (#25342)
177d92
< pick e010e4f007 MAINT make `AdditiveChi2Sampler` stateless and check that stateless `Transformers` don't raise `NotFittedError` (#25190)
183d97
< pick 3f82f84059 ENH Introduces the __sklearn_clone__ protocol (#24568)
187d100
< pick de084fc3f0 CI Update nogil lock file (#25437)
189d101
< pick b3bd78a275 CI Update nogil lock file (#25455)

@jjerphan jjerphan added this to the 1.2.1 milestone Jan 20, 2023
@jjerphan jjerphan mentioned this pull request Jan 20, 2023
Merged
@jjerphan jjerphan mentioned this pull request Jan 23, 2023
Merged
jeremiedbb and others added 25 commits January 23, 2023 16:13
@jeremiedbb @jjerphan
DOC Update docs for making a release (scikit-learn#25047)
9323dd2
@jjerphan @glemaitre @jeremiedbb
TST use global_dtype in sklearn/manifold/tests/test_isomap.py (scikit…
f5f4663 
…-learn#22673)

Co-authored-by: Guillaume Lemaitre <[email protected]>
Co-authored-by: Jérémie du Boisberranger <[email protected]>
@scottgigante-immunai @jjerphan
DOC Improve docs of BaseLabelPropagation.transduction_ (scikit-learn#…
5741677 
…24985)
@lesteve @jjerphan
DOC fix typo in cross_validate docstring (scikit-learn#25090)
fbba000
@ogrisel @jjerphan
MAINT adjust tolerance in test_balance_property (scikit-learn#25098)
4194065
@jeremiedbb @jjerphan
update release checklist regarding SECURITY.md (scikit-learn#25122)
53f8fbd
@thomasjpfan @jjerphan
CI Fixes Azure atlas CI job (scikit-learn#25136)
0cf8a8c 
Fixes scikit-learn#25135
@jeremiedbb @jjerphan
MAINT update SECURITY.md (scikit-learn#25138)
8e28c6a
@jeremiedbb @jjerphan
DOC Add missing step to the "making a release" checklist (scikit-lear…
bf9eb84 
…n#25139)
@betatim @jjerphan
FIX Convert boolean pd.Series to boolean ndarrays (scikit-learn#25147)
944c2e2
@thomasjpfan @jjerphan
CI Introduces macOS arm64 wheel building with Cirrus CI [cd build cir…
b4c6ca4 
…rus] (scikit-learn#25048)
@glemaitre @jjerphan
MAINT exclude cirrus.star from MANIFEST (scikit-learn#25185)
582e5c8
@jjerphan @glemaitre
MAINT handle deprecations from importlib.resources (scikit-learn#25157
bcda708 
)



Co-authored-by: Guillaume Lemaitre <[email protected]>
@thomasjpfan @ogrisel @jjerphan
CI Adds quicker CI failure to reduce resource usage (scikit-learn#21497)
f9492bb 
Co-authored-by: Olivier Grisel <[email protected]>
Co-authored-by: Julien Jerphanion <[email protected]>
@TomDLT @jjerphan @ogrisel
DOC improve inline comments in SAGA (scikit-learn#25100)
ac70158 
Co-authored-by: Julien Jerphanion <[email protected]>
Co-authored-by: Olivier Grisel <[email protected]>
@glemaitre @ogrisel
@lesteve @jjerphan
MAINT sync lobpcg with SciPy main (scikit-learn#25176)
6cca595 
Co-authored-by: Olivier Grisel <[email protected]>
Co-authored-by: Loïc Estève <[email protected]>
@betatim @jjerphan
Use check_array to validate y (scikit-learn#25089)
2d3047b 
Co-authored-by: Julien Jerphanion <[email protected]>
closes scikit-learn#25073
@glemaitre @ogrisel
@lesteve @jjerphan
MAINT fix deprecation raised in scipy-dev build (scikit-learn#25175)
3694d22 
Co-authored-by: Olivier Grisel <[email protected]>
Co-authored-by: Loïc Estève <[email protected]>
@BenjaminBossan @jjerphan
FIX fix pickling for empty object with Python 3.11+ (scikit-learn#25188)
266d2b0 
Co-authored-by: Adrin Jalali <[email protected]>
Co-authored-by: Guillaume Lemaitre <[email protected]>

Python 3.11 introduces `__getstate__` on the `object` level, which breaks our existing `__getstate__` code for objects w/o any attributes. This fixes the issue.
@vitaliset @jjerphan
DOC fix rendering of versionadded (scikit-learn#25211)
32dd56a
@panda5176 @jjerphan
DOC add link to Korean documentation translation (scikit-learn#25205)
d95a601
@glemaitre @jjerphan
DOC consistency fixes in multiclass estimators docstring (scikit-lear…
e4c23b5 
…n#25226)
@betatim @glemaitre
@thomasjpfan @jjerphan
FIX Ensure dtype of categories is object for strings in `OneHotEnco…
717c775 
…der` (scikit-learn#25174)

Co-authored-by: Guillaume Lemaitre <[email protected]>
Co-authored-by: Thomas J. Fan <[email protected]>
@jpangas @jjerphan
TST check error consistency when calling get_feature_names_out on unf…
ad53590 
…itted estimator (scikit-learn#25223)
@simonandras @glemaitre @jjerphan
FIX cross_validate with multimetric scoring returns the non-failed …
5f01a31 
…scorers results even if some fail (scikit-learn#23101)

Co-authored-by: Guillaume Lemaitre <[email protected]>
ScottMGustafson and others added 8 commits January 23, 2023 16:54
@ScottMGustafson @jjerphan
DOC Add detail about dataframe passthrough columns (scikit-learn#25423)
5b624d2
@jjerphan @lesteve @thomasjpfan
FIX Better support large or read-only datasets in `decomposition.Dict…
cad67c7 
…ionaryLearning` (scikit-learn#25172)

Co-authored-by: Loïc Esteve <[email protected]>
Co-authored-by: Thomas J. Fan <[email protected]>
@jeremiedbb @ogrisel @jjerphan
FIX online updates in MiniBatchDictionaryLearning (scikit-learn#25354)
14d2066 
Co-authored-by: Olivier Grisel <[email protected]>
@ArturoAmorQ @glemaitre
@lorentzenchr @jjerphan
DOC Rework Importance of Feature Scaling example (scikit-learn#25012)
94fd968 
Co-authored-by: Guillaume Lemaitre <[email protected]>
Co-authored-by: Christian Lorentzen <[email protected]>
@jjerphan @ogrisel @glemaitre
DOC Update "About Us" (scikit-learn#25435)
f690ce9 
Co-authored-by: Olivier Grisel <[email protected]>
Co-authored-by: Guillaume Lemaitre <[email protected]>
@ArturoAmorQ @jjerphan
DOC Improve visibility of warning message on example "Pitfalls in the…
a6d8642 
… interpretation of coefficients of linear models" (scikit-learn#25441)
@jjerphan
DOC Update changelog before the 1.2.1 release (scikit-learn#25436)
2d69986
@glemaitre @ogrisel
@thomasjpfan @jjerphan
FIX propagate configuration to workers in parallel (scikit-learn#25363)
904c2ec 
Co-authored-by: Olivier Grisel <[email protected]>
Co-authored-by: Thomas J. Fan <[email protected]>
@jjerphan jjerphan mentioned this pull request Jan 23, 2023
Merged
@jjerphan jjerphan marked this pull request as ready for review January 23, 2023 16:56
@jeremiedbb
Copy link
Member

Before merging, I just noticed that there are 2 sections changes impacting all modules in the what's new (in main and in this branch). I think we should fix the what's in main and backport here first.

@ogrisel
Copy link
Member

ogrisel commented Jan 23, 2023

The 8e28c6a backport to 1.2.X (SECURITY.md) is not really needed for a bugfix release. Only the SECURITY.md file in main is meaningful.

@ogrisel
Copy link
Member

ogrisel commented Jan 23, 2023 •
edited
Loading

From a quick glance at th included and excluded commit lists, everything looks good to me besides the comments above. The [cd build] CI looks good as well.

@jjerphan
Copy link
Member Author

8e28c6a has been reverted to remove the changes made to SECURITY.md

#25461 opened to fix the change log.

@jjerphan
Copy link
Member Author

Everything builds correctly.

I am waiting for this PR to be merged before proceeding with the next steps.

ogrisel
ogrisel approved these changes Jan 24, 2023
View reviewed changes
Copy link
Member

@ogrisel ogrisel left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

+1 once #25461 has been backported here.

@jjerphan @ogrisel @jeremiedbb
DOC Reorder whats_new/v1.2.rst (scikit-learn#25461)
181331f 
Co-authored-by: Olivier Grisel <[email protected]>
Co-authored-by: Jérémie du Boisberranger <[email protected]>
@adrinjalali adrinjalali merged commit 3a69ddb into scikit-learn:1.2.X Jan 24, 2023
adrinjalali pushed a commit that referenced this pull request Jan 24, 2023
@jjerphan @adrinjalali
Revert "MAINT update SECURITY.md (#25138)"
546ff96 
This reverts commit 8e28c6a.

See:
#25442 (comment)
@jjerphan jjerphan deleted the release-1.2.1 branch January 24, 2023 13:33
This was referenced Jan 24, 2023
Merged
Merged
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Reviewers

@ogrisel ogrisel ogrisel approved these changes

Assignees
No one assigned
Labels
cython No Changelog Needed
Projects
None yet
Milestone
1.2.1
Development

Successfully merging this pull request may close these issues.