doc/whats_new/v1.5.rst
.. include:: _contributors.rst
.. currentmodule:: sklearn
.. _release_notes_1_5:
For a short description of the main highlights of the release, please refer to
:ref:sphx_glr_auto_examples_release_highlights_plot_release_highlights_1_5_0.py.
.. include:: changelog_legend.inc
.. _changes_1_5_2:
September 2024
sklearn._loss, sklearn.manifold, sklearn.metrics and sklearn.utils,
which were built without OpenMP support.
:pr:29694 by :user:Loïc Estèvce <lesteve>.:mod:sklearn.calibration
..........................
~sklearn.model_selection.LeaveOneOut used in
cv, matching what would happen if KFold(n_splits=n_samples) was used.
:pr:29545 by :user:Lucy Liu <lucyleeow>:mod:sklearn.compose
......................
compose.TransformedTargetRegressor not to raise UserWarning if
transform output is set to pandas or polars, since it isn't a transformer.
:pr:29401 by :user:Stefanie Senger <StefanieSenger>.:mod:sklearn.decomposition
............................
decomposition.FastICA with whiten_solver="eigh" to improve the
platform-agnosticity of the estimator.
:pr:29612 by :user:Olivier Grisel <ogrisel>.:mod:sklearn.metrics
......................
metrics.accuracy_score and in
:func:metrics.zero_one_loss causing an error for Array API dispatch with multilabel
inputs.
:pr:29336 by :user:Edoardo Abati <EdAbati>.:mod:sklearn.svm
..................
svm.SVC and :class:svm.SVR such that we accept
C=float("inf").
:pr:29780 by :user:Guillaume Lemaitre <glemaitre>... _changes_1_5_1:
July 2024
|Fix| Fixed a regression in the validation of the input data of all estimators where
an unexpected error was raised when passing a DataFrame backed by a read-only buffer.
:pr:29018 by :user:Jérémie du Boisberranger <jeremiedbb>.
|Fix| Fixed a regression causing a dead-lock at import time in some settings.
:pr:29235 by :user:Jérémie du Boisberranger <jeremiedbb>.
:mod:sklearn.compose
......................
compose.ColumnTransformer
where the full input data was copied for each transformer when n_jobs > 1.
:pr:29330 by :user:Jérémie du Boisberranger <jeremiedbb>.:mod:sklearn.metrics
......................
|Fix| Fix a regression in :func:metrics.r2_score. Passing torch CPU tensors
with array API dispatched disabled would complain about non-CPU devices
instead of implicitly converting those inputs as regular NumPy arrays.
:pr:29119 by :user:Olivier Grisel.
|Fix| Fix a regression in
:func:metrics.zero_one_loss causing an error for Array API dispatch with multilabel
inputs.
:pr:29269 by :user:Yaroslav Korobko <Tialo>.
:mod:sklearn.model_selection
..............................
|Fix| Fix a regression in :class:model_selection.GridSearchCV for parameter
grids that have heterogeneous parameter values.
:pr:29078 by :user:Loïc Estève <lesteve>.
|Fix| Fix a regression in :class:model_selection.GridSearchCV for parameter
grids that have estimators as parameter values.
:pr:29179 by :user:Marco Gorelli<MarcoGorelli>.
|Fix| Fix a regression in :class:model_selection.GridSearchCV for parameter
grids that have arrays of different sizes as parameter values.
:pr:29314 by :user:Marco Gorelli<MarcoGorelli>.
:mod:sklearn.tree
...................
tree.export_graphviz and :func:tree.plot_tree
that could potentially result in exception or wrong results on 32bit OSes.
:pr:29327 by :user:Loïc Estève<lesteve>.:mod:sklearn.utils
....................
utils.validation.check_array has a new parameter, force_writeable, to
control the writeability of the output array. If set to True, the output array will
be guaranteed to be writeable and a copy will be made if the input array is read-only.
If set to False, no guarantee is made about the writeability of the output array.
:pr:29018 by :user:Jérémie du Boisberranger <jeremiedbb>... _changes_1_5:
May 2024
|Fix| :class:feature_extraction.text.CountVectorizer and
:class:feature_extraction.text.TfidfVectorizer no longer store discarded
tokens from the training set in their stop_words_ attribute. This attribute
would hold too frequent (above max_df) but also too rare tokens (below
min_df). This fixes a potential security issue (data leak) if the discarded
rare tokens hold sensitive information from the training set without the
model developer's knowledge.
Note: users of those classes are encouraged to either retrain their pipelines
with the new scikit-learn version or to manually clear the stop_words_
attribute from previously trained instances of those transformers. This
attribute was designed only for model inspection purposes and has no impact
on the behavior of the transformers.
:pr:28823 by :user:Olivier Grisel <ogrisel>.
|Efficiency| The subsampling in :class:preprocessing.QuantileTransformer is now
more efficient for dense arrays but the fitted quantiles and the results of
transform may be slightly different than before (keeping the same statistical
properties).
:pr:27344 by :user:Xuefeng Xu <xuefeng-xu>.
|Enhancement| :class:decomposition.PCA, :class:decomposition.SparsePCA
and :class:decomposition.TruncatedSVD now set the sign of the components_
attribute based on the component values instead of using the transformed data
as reference. This change is needed to be able to offer consistent component
signs across all PCA solvers, including the new
svd_solver="covariance_eigh" option introduced in this release.
|Fix| Raise ValueError with an informative error message when passing 1D
sparse arrays to methods that expect 2D sparse inputs.
:pr:28988 by :user:Olivier Grisel <ogrisel>.
|API| The name of the input of the inverse_transform method of estimators has been
standardized to X. As a consequence, Xt is deprecated and will be removed in
version 1.7 in the following estimators: :class:cluster.FeatureAgglomeration,
:class:decomposition.MiniBatchNMF, :class:decomposition.NMF,
:class:model_selection.GridSearchCV, :class:model_selection.RandomizedSearchCV,
:class:pipeline.Pipeline and :class:preprocessing.KBinsDiscretizer.
:pr:28756 by :user:Will Dean <wd60622>.
Additional estimators and functions have been updated to include support for all
Array API <https://data-apis.org/array-api/latest/>_ compliant inputs.
See :ref:array_api for more details.
Functions:
sklearn.metrics.r2_score now supports Array API compliant inputs.
:pr:27904 by :user:Eric Lindgren <elindgren>, :user:Franck Charras <fcharras>,
:user:Olivier Grisel <ogrisel> and :user:Tim Head <betatim>.Classes:
linear_model.Ridge now supports the Array API for the svd solver.
See :ref:array_api for more details.
:pr:27800 by :user:Franck Charras <fcharras>, :user:Olivier Grisel <ogrisel>
and :user:Tim Head <betatim>.From scikit-learn 1.5 onwards, Meson is the main supported way to build scikit-learn.
Unless we discover a major blocker, setuptools support will be dropped in scikit-learn 1.6. The 1.5.x releases will support building scikit-learn with setuptools.
Meson support for building scikit-learn was added in :pr:28040 by
:user:Loïc Estève <lesteve>
The following models now support metadata routing in one or more of their
methods. Refer to the :ref:Metadata Routing User Guide <metadata_routing> for
more details.
|Feature| :class:impute.IterativeImputer now supports metadata routing in
its fit method. :pr:28187 by :user:Stefanie Senger <StefanieSenger>.
|Feature| :class:ensemble.BaggingClassifier and :class:ensemble.BaggingRegressor
now support metadata routing. The fit methods now
accept **fit_params which are passed to the underlying estimators
via their fit methods.
:pr:28432 by :user:Adam Li <adam2392> and
:user:Benjamin Bossan <BenjaminBossan>.
|Feature| :class:linear_model.RidgeCV and
:class:linear_model.RidgeClassifierCV now support metadata routing in
their fit method and route metadata to the underlying
:class:model_selection.GridSearchCV object or the underlying scorer.
:pr:27560 by :user:Omar Salman <OmarManzoor>.
|Feature| :class:GraphicalLassoCV now supports metadata routing in its
fit method and routes metadata to the CV splitter.
:pr:27566 by :user:Omar Salman <OmarManzoor>.
|Feature| :class:linear_model.RANSACRegressor now supports metadata routing
in its fit, score and predict methods and route metadata to its
underlying estimator's fit, score and predict methods.
:pr:28261 by :user:Stefanie Senger <StefanieSenger>.
|Feature| :class:ensemble.VotingClassifier and
:class:ensemble.VotingRegressor now support metadata routing and pass
**fit_params to the underlying estimators via their fit methods.
:pr:27584 by :user:Stefanie Senger <StefanieSenger>.
|Feature| :class:pipeline.FeatureUnion now supports metadata routing in its
fit and fit_transform methods and route metadata to the underlying
transformers' fit and fit_transform.
:pr:28205 by :user:Stefanie Senger <StefanieSenger>.
|Fix| Fix an issue when resolving default routing requests set via class
attributes.
:pr:28435 by Adrin Jalali_.
|Fix| Fix an issue when set_{method}_request methods are used as unbound
methods, which can happen if one tries to decorate them.
:pr:28651 by Adrin Jalali_.
|FIX| Prevent a RecursionError when estimators with the default scoring
param (None) route metadata.
:pr:28712 by :user:Stefanie Senger <StefanieSenger>.
..
Entries should be grouped by module (in alphabetic order) and prefixed with
one of the labels: |MajorFeature|, |Feature|, |Efficiency|, |Enhancement|,
|Fix| or |API| (see whats_new.rst for descriptions).
Entries should be ordered by those labels (e.g. |Fix| after |Efficiency|).
Changes not specific to a module should be listed under Multiple Modules
or Miscellaneous.
Entries should end with:
:pr:123456 by :user:Joe Bloggs <joeongithub>.
where 123455 is the pull request number, not the issue number.
:mod:sklearn.calibration
..........................
calibration.CalibratedClassifierCV where
an error was wrongly raised with string targets.
:pr:28843 by :user:Jérémie du Boisberranger <jeremiedbb>.:mod:sklearn.cluster
......................
|Fix| The :class:cluster.MeanShift class now properly converges for constant data.
:pr:28951 by :user:Akihiro Kuno <akikuno>.
|FIX| Create copy of precomputed sparse matrix within the fit method of
:class:~cluster.OPTICS to avoid in-place modification of the sparse matrix.
:pr:28491 by :user:Thanh Lam Dang <lamdang2k>.
|Fix| :class:cluster.HDBSCAN now supports all metrics supported by
:func:sklearn.metrics.pairwise_distances when algorithm="brute" or "auto".
:pr:28664 by :user:Manideep Yenugula <myenugula>.
:mod:sklearn.compose
......................
|Feature| A fitted :class:compose.ColumnTransformer now implements __getitem__
which returns the fitted transformers by name. :pr:27990 by Thomas Fan_.
|Enhancement| :class:compose.TransformedTargetRegressor now raises an error in fit
if only inverse_func is provided without func (that would default to identity)
being explicitly set as well.
:pr:28483 by :user:Stefanie Senger <StefanieSenger>.
|Enhancement| :class:compose.ColumnTransformer can now expose the "remainder"
columns in the fitted transformers_ attribute as column names or boolean
masks, rather than column indices.
:pr:27657 by :user:Jérôme Dockès <jeromedockes>.
|Fix| Fixed a bug in :class:compose.ColumnTransformer with n_jobs > 1, where the
intermediate selected columns were passed to the transformers as read-only arrays.
:pr:28822 by :user:Jérémie du Boisberranger <jeremiedbb>.
:mod:sklearn.cross_decomposition
..................................
|Fix| The coef_ fitted attribute of :class:cross_decomposition.PLSRegression
now takes into account both the scale of X and Y when scale=True. Note that
the previous predicted values were not affected by this bug.
:pr:28612 by :user:Guillaume Lemaitre <glemaitre>.
|API| Deprecates Y in favor of y in the methods fit, transform and
inverse_transform of:
:class:cross_decomposition.PLSRegression,
:class:cross_decomposition.PLSCanonical,
and :class:cross_decomposition.CCA,
and methods fit and transform of:
:class:cross_decomposition.PLSSVD.
Y will be removed in version 1.7.
:pr:28604 by :user:David Leon <davidleon123>.
:mod:sklearn.datasets
.......................
n_retries and delay to functions
:func:datasets.fetch_20newsgroups,
:func:datasets.fetch_20newsgroups_vectorized,
:func:datasets.fetch_california_housing,
:func:datasets.fetch_covtype,
:func:datasets.fetch_kddcup99,
:func:datasets.fetch_lfw_pairs,
:func:datasets.fetch_lfw_people,
:func:datasets.fetch_olivetti_faces,
:func:datasets.fetch_rcv1,
and :func:datasets.fetch_species_distributions.
By default, the functions will retry up to 3 times in case of network failures.
:pr:28160 by :user:Zhehao Liu <MaxwellLZH> and
:user:Filip Karlo Došilović <fkdosilovic>.:mod:sklearn.decomposition
............................
|Efficiency| :class:decomposition.PCA with svd_solver="full" now assigns
a contiguous components_ attribute instead of a non-contiguous slice of
the singular vectors. When n_components << n_features, this can save some
memory and, more importantly, help speed-up subsequent calls to the transform
method by more than an order of magnitude by leveraging cache locality of
BLAS GEMM on contiguous arrays.
:pr:27491 by :user:Olivier Grisel <ogrisel>.
|Enhancement| :class:~decomposition.PCA now automatically selects the ARPACK solver
for sparse inputs when svd_solver="auto" instead of raising an error.
:pr:28498 by :user:Thanh Lam Dang <lamdang2k>.
|Enhancement| :class:decomposition.PCA now supports a new solver option
named svd_solver="covariance_eigh" which offers an order of magnitude
speed-up and reduced memory usage for datasets with a large number of data
points and a small number of features (say, n_samples >> 1000 > n_features). The svd_solver="auto" option has been updated to use the new
solver automatically for such datasets. This solver also accepts sparse input
data.
:pr:27491 by :user:Olivier Grisel <ogrisel>.
|Fix| :class:decomposition.PCA fit with svd_solver="arpack",
whiten=True and a value for n_components that is larger than the rank of
the training set, no longer returns infinite values when transforming
hold-out data.
:pr:27491 by :user:Olivier Grisel <ogrisel>.
:mod:sklearn.dummy
....................
dummy.DummyClassifier and :class:dummy.DummyRegressor now
have the n_features_in_ and feature_names_in_ attributes after fit.
:pr:27937 by :user:Marco vd Boom <tvdboom>.:mod:sklearn.ensemble
.......................
|Efficiency| Improves runtime of predict of
:class:ensemble.HistGradientBoostingClassifier by avoiding to call predict_proba.
:pr:27844 by :user:Christian Lorentzen <lorentzenchr>.
|Efficiency| :class:ensemble.HistGradientBoostingClassifier and
:class:ensemble.HistGradientBoostingRegressor are now a tiny bit faster by
pre-sorting the data before finding the thresholds for binning.
:pr:28102 by :user:Christian Lorentzen <lorentzenchr>.
|Fix| Fixes a bug in :class:ensemble.HistGradientBoostingClassifier and
:class:ensemble.HistGradientBoostingRegressor when monotonic_cst is specified
for non-categorical features.
:pr:28925 by :user:Xiao Yuan <yuanx749>.
:mod:sklearn.feature_extraction
.................................
|Efficiency| :class:feature_extraction.text.TfidfTransformer is now faster
and more memory-efficient by using a NumPy vector instead of a sparse matrix
for storing the inverse document frequency.
:pr:18843 by :user:Paolo Montesel <thebabush>.
|Enhancement| :class:feature_extraction.text.TfidfTransformer now preserves
the data type of the input matrix if it is np.float64 or np.float32.
:pr:28136 by :user:Guillaume Lemaitre <glemaitre>.
:mod:sklearn.feature_selection
................................
|Enhancement| :func:feature_selection.mutual_info_regression and
:func:feature_selection.mutual_info_classif now support n_jobs parameter.
:pr:28085 by :user:Neto Menoci <netomenoci> and
:user:Florin Andrei <FlorinAndrei>.
|Enhancement| The cv_results_ attribute of :class:feature_selection.RFECV has
a new key, n_features, containing an array with the number of features selected
at each step.
:pr:28670 by :user:Miguel Silva <miguelcsilva>.
:mod:sklearn.impute
.....................
impute.SimpleImputer now supports custom strategies
by passing a function in place of a strategy name.
:pr:28053 by :user:Mark Elliot <mark-thm>.:mod:sklearn.inspection
.........................
inspection.DecisionBoundaryDisplay.from_estimator no longer
warns about missing feature names when provided a polars.DataFrame.
:pr:28718 by :user:Patrick Wang <patrickkwang>.:mod:sklearn.linear_model
...........................
|Enhancement| Solver "newton-cg" in :class:linear_model.LogisticRegression and
:class:linear_model.LogisticRegressionCV now emits information when verbose is
set to positive values.
:pr:27526 by :user:Christian Lorentzen <lorentzenchr>.
|Fix| :class:linear_model.ElasticNet, :class:linear_model.ElasticNetCV,
:class:linear_model.Lasso and :class:linear_model.LassoCV now explicitly don't
accept large sparse data formats.
:pr:27576 by :user:Stefanie Senger <StefanieSenger>.
|Fix| :class:linear_model.RidgeCV and :class:RidgeClassifierCV correctly pass
sample_weight to the underlying scorer when cv is None.
:pr:27560 by :user:Omar Salman <OmarManzoor>.
|Fix| n_nonzero_coefs_ attribute in :class:linear_model.OrthogonalMatchingPursuit
will now always be None when tol is set, as n_nonzero_coefs is ignored in
this case. :pr:28557 by :user:Lucy Liu <lucyleeow>.
|API| :class:linear_model.RidgeCV and :class:linear_model.RidgeClassifierCV
will now allow alpha=0 when cv != None, which is consistent with
:class:linear_model.Ridge and :class:linear_model.RidgeClassifier.
:pr:28425 by :user:Lucy Liu <lucyleeow>.
|API| Passing average=0 to disable averaging is deprecated in
:class:linear_model.PassiveAggressiveClassifier,
:class:linear_model.PassiveAggressiveRegressor,
:class:linear_model.SGDClassifier, :class:linear_model.SGDRegressor and
:class:linear_model.SGDOneClassSVM. Pass average=False instead.
:pr:28582 by :user:Jérémie du Boisberranger <jeremiedbb>.
|API| Parameter multi_class was deprecated in
:class:linear_model.LogisticRegression and
:class:linear_model.LogisticRegressionCV. multi_class will be removed in 1.8,
and internally, for 3 and more classes, it will always use multinomial.
If you still want to use the one-vs-rest scheme, you can use
OneVsRestClassifier(LogisticRegression(..)).
:pr:28703 by :user:Christian Lorentzen <lorentzenchr>.
|API| Parameters store_cv_values and cv_values_ are deprecated in favor of
store_cv_results and cv_results_ in ~linear_model.RidgeCV and
~linear_model.RidgeClassifierCV.
:pr:28915 by :user:Lucy Liu <lucyleeow>.
:mod:sklearn.manifold
.......................
n_iter in favor of max_iter in :class:manifold.TSNE.
n_iter will be removed in version 1.7. This makes :class:manifold.TSNE
consistent with the rest of the estimators. :pr:28471 by
:user:Lucy Liu <lucyleeow>:mod:sklearn.metrics
......................
|Feature| :func:metrics.pairwise_distances accepts calculating pairwise distances
for non-numeric arrays as well. This is supported through custom metrics only.
:pr:27456 by :user:Venkatachalam N <venkyyuvy>, :user:Kshitij Mathur <Kshitij68>
and :user:Julian Libiseller-Egger <julibeg>.
|Feature| :func:sklearn.metrics.check_scoring now returns a multi-metric scorer
when scoring as a dict, set, tuple, or list. :pr:28360 by Thomas Fan_.
|Feature| :func:metrics.d2_log_loss_score has been added which
calculates the D^2 score for the log loss.
:pr:28351 by :user:Omar Salman <OmarManzoor>.
|Efficiency| Improve efficiency of functions :func:~metrics.brier_score_loss,
:func:~calibration.calibration_curve, :func:~metrics.det_curve,
:func:~metrics.precision_recall_curve,
:func:~metrics.roc_curve when pos_label argument is specified.
Also improve efficiency of methods from_estimator
and from_predictions in :class:~metrics.RocCurveDisplay,
:class:~metrics.PrecisionRecallDisplay, :class:~metrics.DetCurveDisplay,
:class:~calibration.CalibrationDisplay.
:pr:28051 by :user:Pierre de Fréminville <pidefrem>.
|Fix|:class:metrics.classification_report now shows only accuracy and not
micro-average when input is a subset of labels.
:pr:28399 by :user:Vineet Joshi <vjoshi253>.
|Fix| Fix OpenBLAS 0.3.26 dead-lock on Windows in pairwise distances
computation. This is likely to affect neighbor-based algorithms.
:pr:28692 by :user:Loïc Estève <lesteve>.
|API| :func:metrics.precision_recall_curve deprecated the keyword argument
probas_pred in favor of y_score. probas_pred will be removed in version 1.7.
:pr:28092 by :user:Adam Li <adam2392>.
|API| :func:metrics.brier_score_loss deprecated the keyword argument y_prob
in favor of y_proba. y_prob will be removed in version 1.7.
:pr:28092 by :user:Adam Li <adam2392>.
|API| For classifiers and classification metrics, labels encoded as bytes
is deprecated and will raise an error in v1.7.
:pr:18555 by :user:Kaushik Amar Das <cozek>.
:mod:sklearn.mixture
......................
converged_ attribute of :class:mixture.GaussianMixture and
:class:mixture.BayesianGaussianMixture now reflects the convergence status of
the best fit whereas it was previously True if any of the fits converged.
:pr:26837 by :user:Krsto Proroković <krstopro>.:mod:sklearn.model_selection
..............................
|MajorFeature| :class:model_selection.TunedThresholdClassifierCV finds
the decision threshold of a binary classifier that maximizes a
classification metric through cross-validation.
:class:model_selection.FixedThresholdClassifier is an alternative when one wants
to use a fixed decision threshold without any tuning scheme.
:pr:26120 by :user:Guillaume Lemaitre <glemaitre>.
|Enhancement| :term:CV splitters <CV splitter> that ignores the group parameter now
raises a warning when groups are passed in to :term:split. :pr:28210 by
Thomas Fan_.
|Enhancement| The HTML diagram representation of
:class:~model_selection.GridSearchCV,
:class:~model_selection.RandomizedSearchCV,
:class:~model_selection.HalvingGridSearchCV, and
:class:~model_selection.HalvingRandomSearchCV will show the best estimator when
refit=True. :pr:28722 by :user:Yao Xiao <Charlie-XIAO> and Thomas Fan_.
|Fix| the cv_results_ attribute (of :class:model_selection.GridSearchCV) now
returns masked arrays of the appropriate NumPy dtype, as opposed to always returning
dtype object. :pr:28352 by :user:Marco Gorelli<MarcoGorelli>.
|Fix| :func:model_selection.train_test_split works with Array API inputs.
Previously indexing was not handled correctly leading to exceptions when using strict
implementations of the Array API like CuPY.
:pr:28407 by :user:Tim Head <betatim>.
:mod:sklearn.multioutput
..........................
chain_method parameter added to :class:multioutput.ClassifierChain.
:pr:27700 by :user:Lucy Liu <lucyleeow>.:mod:sklearn.neighbors
........................
neighbors.NeighborhoodComponentsAnalysis such that
get_feature_names_out returns the correct number of feature names.
:pr:28306 by :user:Brendan Lu <brendanlu>.:mod:sklearn.pipeline
.......................
pipeline.FeatureUnion can now use the
verbose_feature_names_out attribute. If True, get_feature_names_out
will prefix all feature names with the name of the transformer
that generated that feature. If False, get_feature_names_out will not
prefix any feature names and will error if feature names are not unique.
:pr:25991 by :user:Jiawei Zhang <jiawei-zhang-a>.:mod:sklearn.preprocessing
............................
preprocessing.QuantileTransformer and
:func:preprocessing.quantile_transform now supports disabling
subsampling explicitly.
:pr:27636 by :user:Ralph Urlus <rurlus>.:mod:sklearn.tree
...................
tree.plot_tree now
show a "True/False" label to indicate the directionality the samples traverse
given the split condition.
:pr:28552 by :user:Adam Li <adam2392>.:mod:sklearn.utils
....................
|Fix| :func:~utils._safe_indexing now works correctly for polars DataFrame when
axis=0 and supports indexing polars Series.
:pr:28521 by :user:Yao Xiao <Charlie-XIAO>.
|API| :data:utils.IS_PYPY is deprecated and will be removed in version 1.7.
:pr:28768 by :user:Jérémie du Boisberranger <jeremiedbb>.
|API| :func:utils.tosequence is deprecated and will be removed in version 1.7.
:pr:28763 by :user:Jérémie du Boisberranger <jeremiedbb>.
|API| utils.parallel_backend and utils.register_parallel_backend are
deprecated and will be removed in version 1.7. Use joblib.parallel_backend and
joblib.register_parallel_backend instead.
:pr:28847 by :user:Jérémie du Boisberranger <jeremiedbb>.
|API| Raise informative warning message in :func:~utils.multiclass.type_of_target
when represented as bytes. For classifiers and classification metrics, labels encoded
as bytes is deprecated and will raise an error in v1.7.
:pr:18555 by :user:Kaushik Amar Das <cozek>.
|API| :func:utils.estimator_checks.check_estimator_sparse_data was split into two
functions: :func:utils.estimator_checks.check_estimator_sparse_matrix and
:func:utils.estimator_checks.check_estimator_sparse_array.
:pr:27576 by :user:Stefanie Senger <StefanieSenger>.
.. rubric:: Code and documentation contributors
Thanks to everyone who has contributed to the maintenance and improvement of the project since version 1.4, including:
101AlexMartin, Abdulaziz Aloqeely, Adam J. Stewart, Adam Li, Adarsh Wase, Adeyemi Biola, Aditi Juneja, Adrin Jalali, Advik Sinha, Aisha, Akash Srivastava, Akihiro Kuno, Alan Guedes, Alberto Torres, Alexis IMBERT, alexqiao, Ana Paula Gomes, Anderson Nelson, Andrei Dzis, Arif Qodari, Arnaud Capitaine, Arturo Amor, Aswathavicky, Audrey Flanders, awwwyan, baggiponte, Bharat Raghunathan, bme-git, brdav, Brendan Lu, Brigitta Sipőcz, Bruno, Cailean Carter, Cemlyn, Christian Lorentzen, Christian Veenhuis, Cindy Liang, Claudio Salvatore Arcidiacono, Connor Boyle, Conrad Stevens, crispinlogan, David Matthew Cherney, Davide Chicco, davidleon123, dependabot[bot], DerWeh, dinga92, Dipan Banik, Drew Craeton, Duarte São José, DUONG, Eddie Bergman, Edoardo Abati, Egehan Gunduz, Emad Izadifar, EmilyXinyi, Erich Schubert, Evelyn, Filip Karlo Došilović, Franck Charras, Gael Varoquaux, Gönül Aycı, Guillaume Lemaitre, Gyeongjae Choi, Harmanan Kohli, Hong Xiang Yue, Ian Faust, Ilya Komarov, itsaphel, Ivan Wiryadi, Jack Bowyer, Javier Marin Tur, Jérémie du Boisberranger, Jérôme Dockès, Jiawei Zhang, João Morais, Joe Cainey, Joel Nothman, Johanna Bayer, John Cant, John Enblom, John Hopfensperger, jpcars, jpienaar-tuks, Julian Chan, Julian Libiseller-Egger, Julien Jerphanion, KanchiMoe, Kaushik Amar Das, keyber, Koustav Ghosh, kraktus, Krsto Proroković, Lars, ldwy4, LeoGrin, lihaitao, Linus Sommer, Loic Esteve, Lucy Liu, Lukas Geiger, m-maggi, manasimj, Manuel Labbé, Manuel Morales, Marco Edward Gorelli, Marco Wolsza, Maren Westermann, Marija Vlajic, Mark Elliot, Martin Helm, Mateusz Sokół, mathurinm, Mavs, Michael Dawson, Michael Higgins, Michael Mayer, miguelcsilva, Miki Watanabe, Mohammed Hamdy, myenugula, Nathan Goldbaum, Naziya Mahimkar, nbrown-ScottLogic, Neto, Nithish Bolleddula, notPlancha, Olivier Grisel, Omar Salman, ParsifalXu, Patrick Wang, Pierre de Fréminville, Piotr, Priyank Shroff, Priyansh Gupta, Priyash Shah, Puneeth K, Rahil Parikh, raisadz, Raj Pulapakura, Ralf Gommers, Ralph Urlus, Randolf Scholz, renaissance0ne, Reshama Shaikh, Richard Barnes, Robert Pollak, Roberto Rosati, Rodrigo Romero, rwelsch427, Saad Mahmood, Salim Dohri, Sandip Dutta, SarahRemus, scikit-learn-bot, Shaharyar Choudhry, Shubham, sperret6, Stefanie Senger, Steffen Schneider, Suha Siddiqui, Thanh Lam DANG, thebabush, Thomas, Thomas J. Fan, Thomas Lazarus, Tialo, Tim Head, Tuhin Sharma, Tushar Parimi, VarunChaduvula, Vineet Joshi, virchan, Waël Boukhobza, Weyb, Will Dean, Xavier Beltran, Xiao Yuan, Xuefeng Xu, Yao Xiao, yareyaredesuyo, Ziad Amerr, Štěpán Sršeň