MNT Use copy=False when creating DataFrames #26272
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Not really sure what to say: yes?! Is there a reason to add A related thought: is there a way for us to have a common test to make sure that future scikit-learn code constructs dataframes with |
Currently, if panda's Copy on Write is turned on through From the pandas doc's, they expect CoW to be enabled by default in 3.0.
We likely need to refactor dataframe code into a module. An alternative is to use a code scanner like GitHub's CodeQL to check for best practices. |
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Thanks for the explanation and the link to the PR. I did a bit of experimenting to see if my mental model was right. I needed it to understand why/if the CoW (copy on write) setting would effect the construction of a dataframe. Naively I was thinking that whether or not a copy happens on construction should be independent of the CoW setting (because construction is not a write to the DF). The below helped me get my thoughts sorted out: from pandas.tests.copy_view.util import get_array
# CoW is off
X = np.array([[1,2,3], [4,5,6], [7,8,9.]])
df = pd.DataFrame(X, columns=['a', 'b', 'c'])
assert np.shares_memory(get_array(df, 'a'), X) == True
# Now CoW is on
pd.options.mode.copy_on_write = True
df = pd.DataFrame(X, columns=['a', 'b', 'c'])
# df no longer shares memory with X
assert np.shares_memory(get_array(df, 'a'), X) == False
# Now it shares again
df = pd.DataFrame(X, columns=['a', 'b', 'c'], copy=False)
assert np.shares_memory(get_array(df, 'a'), X) == TrueI think it makes sense to add
Nods. That would be good, then we don't have to add the additional kwarg(s) everywhere. And maybe it would be easier to output different types of dataframe as well? Maybe something for a new issue/PR though. |
betatim
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adrinjalali
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* MAINT Clean deprecated losses in (hist) gradient boosting for 1.3 (scikit-learn#25834) * MAINT Clean deprecation of normalize in calibration_curve for 1.3 (scikit-learn#25833) * BLD Clean command removes generated from cython templates (scikit-learn#25839) * PERF Implement `PairwiseDistancesReduction` backend for `KNeighbors.predict_proba` (scikit-learn#24076) Signed-off-by: Julien Jerphanion <git@jjerphan.xyz> Co-authored-by: Julien Jerphanion <git@jjerphan.xyz> Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org> * MAINT Added Parameter Validation for datasets.make_circles (scikit-learn#25848) Co-authored-by: jeremiedbb <jeremiedbb@yahoo.fr> * MNT use a single job by default with sphinx build (scikit-learn#25836) * BLD Generate warning automatically for templated cython files (scikit-learn#25842) * MAINT parameter validation for sklearn.datasets.fetch_lfw_people (scikit-learn#25820) Co-authored-by: jeremiedbb <jeremiedbb@yahoo.fr> * MAINT Parameters validation for metrics.fbeta_score (scikit-learn#25841) * TST add global_random_seed fixture to sklearn/covariance/tests/test_robust_covariance.py (scikit-learn#25821) * MAINT Parameter validation for linear_model.orthogonal_mp (scikit-learn#25817) * TST activate common tests for TSNE (scikit-learn#25374) * CI Update lock files (scikit-learn#25849) * MAINT Added Parameter Validation for metrics.mean_gamma_deviance (scikit-learn#25853) * MAINT Parameters validation for feature_selection.mutual_info_regression (scikit-learn#25850) * MAINT parameter validation metrics.class_likelihood_ratios (scikit-learn#25863) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * MAINT Ensure disjoint interval constraints (scikit-learn#25797) * MAINT Parameters validation for utils.gen_batches (scikit-learn#25864) * TST use global_random_seed in test_dict_vectorizer.py (scikit-learn#24533) * TST use global_random_seed in test_pls.py (scikit-learn#24526) Co-authored-by: jeremiedbb <jeremiedbb@yahoo.fr> * TST use global_random_seed in test_gpc.py (scikit-learn#24600) Co-authored-by: jeremiedbb <jeremiedbb@yahoo.fr> * DOC Fix overlapping plot axis in bench_sample_without_replacement.py (scikit-learn#25870) * MAINT Use contiguous memoryviews in _random.pyx (scikit-learn#25871) * MAINT parameter validation sklearn.datasets.fetch_lfw_pair (scikit-learn#25857) * MAINT Parameters validation for metrics.classification_report (scikit-learn#25868) * Empty commit * DOC fix docstring dtype parameter in OrdinalEncoder (scikit-learn#25877) * MAINT Clean up depreacted "log" loss of SGDClassifier for 1.3 (scikit-learn#25865) * ENH Adds TargetEncoder (scikit-learn#25334) Co-authored-by: Andreas Mueller <t3kcit@gmail.com> Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org> Co-authored-by: Jovan Stojanovic <62058944+jovan-stojanovic@users.noreply.github.com> Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com> * CI make it possible to cancel running Azure jobs (scikit-learn#25876) * MAINT Clean-up deprecated if_delegate_has_method for 1.3 (scikit-learn#25879) * MAINT Parameter validation for tree.export_text (scikit-learn#25867) * DOC impact of `tol` for solvers in RidgeClassifier (scikit-learn#25530) * MAINT Parameters validation for metrics.hinge_loss (scikit-learn#25880) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * MAINT Parameters validation for metrics.ndcg_score (scikit-learn#25885) * ENH KMeans initialization account for sample weights (scikit-learn#25752) Co-authored-by: jeremiedbb <jeremiedbb@yahoo.fr> Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com> Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * TST use global_random_seed in sklearn/tests/test_dummy.py (scikit-learn#25884) * DOC improve calibration user guide (scikit-learn#25687) * ENH Support for sparse matrices added to `sklearn.metrics.silhouette_samples` (scikit-learn#24677) Co-authored-by: Sahil Gupta <sahil@Sahils-MBP.lan> Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com> Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com> * MAINT validate_params for plot_tree (scikit-learn#25882) Co-authored-by: Itay <itayvegh@gmail.com> * MAINT add missing space in error message in SVM (scikit-learn#25913) * FIX Adds requires_y tag to TargetEncoder (scikit-learn#25917) * MAINT Consistent cython types continued (scikit-learn#25810) * TST Speed-up common tests of DictionaryLearning (scikit-learn#25892) * TST Speed-up test_dbscan_optics_parity (scikit-learn#25893) * ENH add np.nan option for zero_division in precision/recall/f-score (scikit-learn#25531) Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com> * MAINT Parameters validation for datasets.make_low_rank_matrix (scikit-learn#25901) * MAINT Parameter validation for metrics.cluster.adjusted_mutual_info_score (scikit-learn#25898) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * TST Speed-up test_partial_dependence.test_output_shape (scikit-learn#25895) Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com> * MAINT Parameters validation for datasets.make_regression (scikit-learn#25899) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * MAINT Parameters validation for metrics.mean_squared_log_error (scikit-learn#25924) * TST Use global_random_seed in tests/test_naive_bayes.py (scikit-learn#25890) * TST add global_random_seed fixture to sklearn/datasets/tests/test_covtype.py (scikit-learn#25904) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> Co-authored-by: jeremiedbb <jeremiedbb@yahoo.fr> * MAINT Parameters validation for datasets.make_multilabel_classification (scikit-learn#25920) * Fixed feature mapping typo (scikit-learn#25934) * MAINT switch to newer codecov uploader (scikit-learn#25919) Co-authored-by: Loïc Estève <loic.esteve@ymail.com> * TST Speed-up test suite when using pytest-xdist (scikit-learn#25918) * DOC update license year to 2023 (scikit-learn#25936) * FIX Remove spurious feature names warning in IsolationForest (scikit-learn#25931) * TST fix unstable test_newrand_set_seed (scikit-learn#25940) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * MAINT Clean-up deprecated max_features="auto" in trees/forests/gb (scikit-learn#25941) * MAINT LogisticRegression informative error msg when penaly=elasticnet and l1_ratio is None (scikit-learn#25925) Co-authored-by: jeremiedbb <jeremiedbb@yahoo.fr> * MAINT Clean-up remaining SGDClassifier(loss="log") (scikit-learn#25938) * FIX Fixes pandas extension arrays in check_array (scikit-learn#25813) * FIX Fixes pandas extension arrays with objects in check_array (scikit-learn#25814) * CI Disable pytest-xdist in pylatest_pip_openblas_pandas build (scikit-learn#25943) * MAINT remove deprecated call to resources.content (scikit-learn#25951) * DOC note on calibration impact on ranking (scikit-learn#25900) * Remove loguniform fix, use scipy.stats instead (scikit-learn#24665) Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org> * MAINT Fix broken links in cluster.dbscan module (scikit-learn#25958) * DOC Fix lars Xy shape (scikit-learn#25952) * ENH Add drop_intermediate parameter to metrics.precision_recall_curve (scikit-learn#24668) Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com> * FIX improve error message when computing NDCG with a single document (scikit-learn#25672) Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com> * MAINT introduce _get_response_values and _check_response_methods (scikit-learn#23073) Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com> Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * MAINT Extend message for large sparse matrices support (scikit-learn#25961) Co-authored-by: Meekail Zain <34613774+Micky774@users.noreply.github.com> * MAINT Parameters validation for datasets.make_gaussian_quantiles (scikit-learn#25959) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * MAINT Parameters validation for sklearn.metrics.d2_tweedie_score (scikit-learn#25975) * MAINT Parameters validation for datasets.make_hastie_10_2 (scikit-learn#25967) * MAINT Parameters validation for preprocessing.minmax_scale (scikit-learn#25962) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * MAINT Parameters validation for datasets.make_checkerboard (scikit-learn#25955) * MAINT Parameters validation for datasets.make_biclusters (scikit-learn#25945) * MAINT Parameters validation for datasets.make_moons (scikit-learn#25971) * DOC replace deviance by loss in docstring of GradientBoosting (scikit-learn#25968) * MAINT Fix broken link in feature_selection/_univariate_selection.py (scikit-learn#25984) * DOC Update model_persistence.rst to fix skops example (scikit-learn#25993) Co-authored-by: adrinjalali <adrin.jalali@gmail.com> * DOC Specified meaning for max_patches=None in extract_patches_2d (scikit-learn#25996) * DOC document that last step is never cached in pipeline (scikit-learn#25995) Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com> * FIX SequentialFeatureSelector throws IndexError when cv is a generator (scikit-learn#25973) * ENH Adds infrequent categories support to OrdinalEncoder (scikit-learn#25677) Co-authored-by: Tim Head <betatim@gmail.com> Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org> Co-authored-by: Andreas Mueller <t3kcit@gmail.com> * MAINT make plot_digits_denoising deterministic by fixing random state (scikit-learn#26004) * DOC improve example of PatchExtractor (scikit-learn#26002) * MAINT Parameters validation for datasets.make_friedman2 (scikit-learn#25986) * MAINT Parameters validation for datasets.make_friedman3 (scikit-learn#25989) * MAINT Parameters validation for datasets.make_sparse_uncorrelated (scikit-learn#26001) * MAINT Parameters validation for datasets.make_spd_matrix (scikit-learn#26003) * MAINT Parameters validation for datasets.make_sparse_spd_matrix (scikit-learn#26009) * DOC Added the meanings of default=None for PatchExtractor parameters (scikit-learn#26005) * MAINT remove unecessary check covered by parameter validation framework (scikit-learn#26014) * MAINT Consistent cython types from _typedefs (scikit-learn#25942) Co-authored-by: Julien Jerphanion <git@jjerphan.xyz> * MAINT Parameters validation for datasets.make_swiss_roll (scikit-learn#26020) * MAINT Parameters validation for datasets.make_s_curve (scikit-learn#26022) * MAINT Parameters validation for datasets.make_blobs (scikit-learn#25983) Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com> * DOC fix SplineTransformer include_bias docstring (scikit-learn#26018) * ENH RocCurveDisplay add option to plot chance level (scikit-learn#25987) * DOC show from_estimator and from_predictions for Displays (scikit-learn#25994) * EXA Fix rst in plot_partial_dependence (scikit-learn#26028) * CI Adds coverage to docker jobs on Azure (scikit-learn#26027) Co-authored-by: Julien Jerphanion <git@jjerphan.xyz> Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org> * API Replace `n_iter` in `Bayesian Ridge` and `ARDRegression` (scikit-learn#25697) Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com> * CLN Make _NumPyAPIWrapper naming consistent to _ArrayAPIWrapper (scikit-learn#26039) * CI disable coverage on Windows to keep CI times reasonable (scikit-learn#26052) * DOC Use Scientific Python Plausible instance for analytics (scikit-learn#25547) * MAINT Parameters validation for sklearn.preprocessing.scale (scikit-learn#26036) * MAINT Parameters validation for sklearn.metrics.pairwise.haversine_distances (scikit-learn#26047) * MAINT Parameters validation for sklearn.metrics.pairwise.laplacian_kernel (scikit-learn#26048) * MAINT Parameters validation for sklearn.metrics.pairwise.linear_kernel (scikit-learn#26049) * MAINT Parameters validation for sklearn.metrics.silhouette_samples (scikit-learn#26053) * MAINT Parameters validation for sklearn.preprocessing.add_dummy_feature (scikit-learn#26058) * Added Parameter Validation for metrics.cluster.normalized_mutual_info_score() (scikit-learn#26060) * DOC Typos in HistGradientBoosting documentation (scikit-learn#26057) * TST add global_random_seed fixture to sklearn/datasets/tests/test_rcv1.py (scikit-learn#26043) * MAINT Parameters validation for sklearn.metrics.pairwise.cosine_similarity (scikit-learn#26006) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * ENH Adds isdtype to Array API wrapper (scikit-learn#26029) * MAINT Parameters validation for sklearn.metrics.silhouette_score (scikit-learn#26054) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * FIX fix spelling mistake in _NumPyAPIWrapper (scikit-learn#26064) * CI ignore more non-library Python files in codecov (scikit-learn#26059) * MAINT Parameters validation for sklearn.metrics.pairwise.cosine_distances (scikit-learn#26046) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * MAINT Introduce BinaryClassifierCurveDisplayMixin (scikit-learn#25969) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * ENH Forces shape to be tuple when using Array API's reshape (scikit-learn#26030) Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org> Co-authored-by: Tim Head <betatim@gmail.com> * MAINT Parameters validation for sklearn.metrics.pairwise.paired_euclidean_distances (scikit-learn#26073) * MAINT Parameters validation for sklearn.metrics.pairwise.paired_manhattan_distances (scikit-learn#26074) * MAINT Parameters validation for sklearn.metrics.pairwise.paired_cosine_distances (scikit-learn#26075) * MAINT Parameters validation for sklearn.preprocessing.binarize (scikit-learn#26076) * MAINT Parameters validation for metrics.explained_variance_score (scikit-learn#26079) * DOC use correct template name for displays (scikit-learn#26081) * MAINT Parameters validation for sklearn.preprocessing.maxabs_scale (scikit-learn#26077) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * MAINT Parameters validation for sklearn.preprocessing.label_binarize (scikit-learn#26078) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * MAINT parameter validation for d2_absolute_error_score (scikit-learn#26066) Co-authored-by: jeremiedbb <jeremiedbb@yahoo.fr> * MAINT Parameter validation for roc_auc_score (scikit-learn#26007) Co-authored-by: jeremiedbb <jeremiedbb@yahoo.fr> * MAINT Parameters validation for sklearn.preprocessing.normalize (scikit-learn#26069) Co-authored-by: jeremiedbb <jeremiedbb@yahoo.fr> * MAINT Parameter validation for metrics.cluster.fowlkes_mallows_score (scikit-learn#26080) Co-authored-by: jeremiedbb <jeremiedbb@yahoo.fr> * MAINT Parameters validation for compose.make_column_transformer (scikit-learn#25897) Co-authored-by: jeremiedbb <jeremiedbb@yahoo.fr> * MAINT Parameters validation for sklearn.metrics.pairwise.polynomial_kernel (scikit-learn#26070) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * MAINT Parameters validation for sklearn.metrics.pairwise.rbf_kernel (scikit-learn#26071) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * MAINT Parameters validation for sklearn.metrics.pairwise.sigmoid_kernel (scikit-learn#26072) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * MAINT Param validation: constraint for numeric missing values (scikit-learn#26085) * FIX Adds support for negative values in categorical features in gradient boosting (scikit-learn#25629) Co-authored-by: Julien Jerphanion <git@jjerphan.xyz> Co-authored-by: Tim Head <betatim@gmail.com> * MAINT Fix C warning in Cython module splitting.pyx (scikit-learn#26051) * MNT Updates _isotonic.pyx to use memoryviews instead of `cnp.ndarray` (scikit-learn#26068) * FIX Fixes memory regression for inspecting extension arrays (scikit-learn#26106) * PERF set openmp to use only physical cores by default (scikit-learn#26082) * MNT Update black to 23.3.0 (scikit-learn#26110) * MNT Adds black commit to git-blame-ignore-revs (scikit-learn#26111) * MAINT Parameters validation for sklearn.metrics.pair_confusion_matrix (scikit-learn#26107) * MAINT Parameters validation for sklearn.metrics.mean_poisson_deviance (scikit-learn#26104) * DOC Use notebook style in plot_lof_outlier_detection.py (scikit-learn#26017) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com> * MAINT utils._fast_dict uses types from utils._typedefs (scikit-learn#26025) * DOC remove sparse-matrix for `y` in ElasticNet (scikit-learn#26127) * ENH add exponential loss (scikit-learn#25965) * MAINT Parameters validation for sklearn.preprocessing.robust_scale (scikit-learn#26086) * MAINT Parameters validation for sklearn.datasets.fetch_rcv1 (scikit-learn#26126) * MAINT Parameters validation for sklearn.metrics.adjusted_rand_score (scikit-learn#26134) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * MAINT Parameters validation for sklearn.metrics.calinski_harabasz_score (scikit-learn#26135) * MAINT Parameters validation for sklearn.metrics.davies_bouldin_score (scikit-learn#26136) * MAINT: remove `from numpy.math cimport` statements (scikit-learn#26143) * MAINT Parameters validation for sklearn.inspection.permutation_importance (scikit-learn#26145) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * MAINT Parameters validation for sklearn.metrics.cluster.homogeneity_completeness_v_measure (scikit-learn#26137) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * MAINT Parameters validation for sklearn.metrics.rand_score (scikit-learn#26138) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * DOC update comment in metrics/tests/test_classification.py (scikit-learn#26150) * CI small cleanup of Cirrus CI test script (scikit-learn#26168) * MAINT remove deprecated is_categorical_dtype (scikit-learn#26156) * DOC Add skforecast to related projects page (scikit-learn#26133) Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com> * FIX Keeps namedtuple's class when transform returns a tuple (scikit-learn#26121) * DOC corrected letter case for better readability in sklearn/metrics/_classification.py / (scikit-learn#26169) * MAINT Parameters validation for sklearn.preprocessing.power_transform (scikit-learn#26142) * FIX `roc_auc_score` now uses `y_prob` instead of `y_pred` (scikit-learn#26155) * MAINT Parameters validation for sklearn.datasets.load_iris (scikit-learn#26177) * MAINT Parameters validation for sklearn.datasets.load_diabetes (scikit-learn#26166) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * MAINT Parameters validation for sklearn.datasets.load_breast_cancer (scikit-learn#26165) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * MAINT Parameters validation for sklearn.metrics.cluster.entropy (scikit-learn#26162) * MAINT Parameters validation for sklearn.datasets.fetch_species_distributions (scikit-learn#26161) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * ASV Fix tol in SGDRegressorBenchmark (scikit-learn#26146) Co-authored-by: jeremie du boisberranger <jeremiedbb@yahoo.fr> * MNT use api.openml.org URLs for fetch_openml (scikit-learn#26171) * MAINT Parameters validation for sklearn.utils.resample (scikit-learn#26139) * MAINT make it explicit that additive_chi2_kernel does not accept sparse matrix (scikit-learn#26178) * MNT fix circleci link in README.rst (scikit-learn#26183) * CI Fix circleci artifact redirector action (scikit-learn#26181) * GOV introduce rights for groups as discussed in SLEP019 (scikit-learn#25753) Co-authored-by: Julien <git@jjerphan.xyz> Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com> * MAINT Parameters validation for sklearn.neighbors.sort_graph_by_row_values (scikit-learn#26173) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * FIX improve convergence criterion for LogisticRegression(penalty="l1", solver='liblinear') (scikit-learn#25214) Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com> Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org> * MAINT Fix several typos in src and doc files (scikit-learn#26187) * PERF fix overhead of _rescale_data in LinearRegression (scikit-learn#26207) * ENH add Huber loss (scikit-learn#25966) * MAINT Refactor GraphicalLasso and graphical_lasso (scikit-learn#26033) Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com> Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * MAINT Cython linting (scikit-learn#25861) * DOC Add JupyterLite button in example gallery (scikit-learn#25887) * MAINT Parameters validation for sklearn.covariance.ledoit_wolf_shrinkage (scikit-learn#26200) * MAINT Parameters validation for sklearn.datasets.load_linnerud (scikit-learn#26199) * MAINT Parameters validation for sklearn.datasets.load_wine (scikit-learn#26196) * DOC Added redirect to Provost paper + minor refactor (scikit-learn#26223) * MAINT Parameter Validation for `covariance.graphical_lasso` (scikit-learn#25053) Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com> Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * MAINT Parameters validation for sklearn.datasets.load_digits (scikit-learn#26195) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * MAINT Parameters validation for sklearn.preprocessing.quantile_transform (scikit-learn#26144) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * MAINT Parameters validation for sklearn.model_selection.cross_validate (scikit-learn#26129) Co-authored-by: jeremiedbb <jeremiedbb@yahoo.fr> * DOC Adds TargetEncoder example explaining the internal CV (scikit-learn#26185) Co-authored-by: Tim Head <betatim@gmail.com> * spelling mistake corrected in documentation for script `plot_document_clustering.py` (scikit-learn#26228) Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org> * FIX possible UnboundLocalError in fetch_openml (scikit-learn#26236) * ENH Adds PyTorch support to LinearDiscriminantAnalysis (scikit-learn#25956) Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org> Co-authored-by: Tim Head <betatim@gmail.com> * MNT Use fixed version of Pyodide (scikit-learn#26247) * MNT Reset transform_output default in example to fix doc build build (scikit-learn#26269) * DOC Update example plot_nearest_centroid.py (scikit-learn#26263) * MNT reduce JupyterLite build size (scikit-learn#26246) * DOC term -> meth in GradientBoosting (scikit-learn#26225) * MNT speed-up html-noplot build (scikit-learn#26245) Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com> * MNT Use copy=False when creating DataFrames (scikit-learn#26272) * MAINT Parameters validation for sklearn.model_selection.permutation_test_score (scikit-learn#26230) * MAINT Parameters validation for sklearn.datasets.clear_data_home (scikit-learn#26259) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * MAINT Parameters validation for sklearn.datasets.load_files (scikit-learn#26203) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * MAINT Parameters validation for sklearn.datasets.get_data_home (scikit-learn#26260) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * DOC Fix y-axis plot labels in permutation test score example (scikit-learn#26240) * MAINT cython-lint ignores asv_benchmarks (scikit-learn#26282) * MAINT Parameter validation for metrics.cluster._supervised (scikit-learn#26258) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * DOC Improve docstring for tol in SequentialFeatureSelector (scikit-learn#26271) * MAINT Parameters validation for sklearn.datasets.load_sample_image (scikit-learn#26226) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * DOC Consistent param type for pos_label (scikit-learn#26237) * DOC Minor grammar fix to imputation docs (scikit-learn#26283) * MAINT Parameters validation for sklearn.calibration.calibration_curve (scikit-learn#26198) Co-authored-by: jeremie du boisberranger <jeremiedbb@yahoo.fr> * MAINT Parameters validation for sklearn.inspection.partial_dependence (scikit-learn#26209) Co-authored-by: jeremie du boisberranger <jeremiedbb@yahoo.fr> * MAINT Parameters validation for sklearn.model_selection.validation_curve (scikit-learn#26229) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * MAINT Parameters validation for sklearn.model_selection.learning_curve (scikit-learn#26227) Co-authored-by: jeremie du boisberranger <jeremiedbb@yahoo.fr> * MNT Remove deprecated pandas.api.types.is_sparse (scikit-learn#26287) * CI Use Trusted Publishers for uploading wheels to PyPI (scikit-learn#26249) * MAINT Parameters validation for sklearn.metrics.pairwise.manhattan_distances (scikit-learn#26122) * PERF revert openmp use in csr_row_norms (scikit-learn#26275) * MAINT Parameters validation for metrics.check_scoring (scikit-learn#26041) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> * MNT Improve error message when checking classification target is of a non-regression type (scikit-learn#26281) Co-authored-by: Adrin Jalali <adrin.jalali@gmail.com> Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com> * DOC fix link to User Guide encoder_infrequent_categories (scikit-learn#26309) * MNT remove unused args in _predict_regression_tree_inplace_fast_dense (scikit-learn#26314) * ENH Adds missing value support for trees (scikit-learn#23595) Co-authored-by: Tim Head <betatim@gmail.com> Co-authored-by: Julien Jerphanion <git@jjerphan.xyz> * CLN Clean up logic in validate_data and cast_to_ndarray (scikit-learn#26300) * MAINT refactor scorer using _get_response_values (scikit-learn#26037) Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> Co-authored-by: Adrin Jalali <adrin.jalali@gmail.com> * DOC Add HGBDT to "see also" section of random forests (scikit-learn#26319) Co-authored-by: ArturoAmorQ <arturo.amor-quiroz@polytechnique.edu> Co-authored-by: Tim Head <betatim@gmail.com> * MNT Bump Github Action labeler version to use newer Node (scikit-learn#26302) * FIX thresholds should not exceed 1.0 with probabilities in `roc_curve` (scikit-learn#26194) Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org> * ENH Allow for appropriate dtype us in `preprocessing.PolynomialFeatures` for sparse matrices (scikit-learn#23731) Co-authored-by: Aleksandr Kokhaniukov <alexander.kohanyukov@gmail.com> Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org> Co-authored-by: Julien Jerphanion <git@jjerphan.xyz> Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com> * DOC Fix minor typo (scikit-learn#26327) * MAINT bump minimum version for pytest (scikit-learn#26184) Co-authored-by: Loïc Estève <loic.esteve@ymail.com> Co-authored-by: Adrin Jalali <adrin.jalali@gmail.com> Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org> * DOC fix return type in isotonic_regression (scikit-learn#26332) * FIX fix available_if for MultiOutputRegressor.partial_fit (scikit-learn#26333) Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com> * FIX make pipeline pass check_estimator (scikit-learn#26325) * FEA Add multiclass support to `average_precision_score` (scikit-learn#24769) Co-authored-by: Geoffrey <geoffrey.bolmier@gmail.com> Co-authored-by: gbolmier <geoffrey.bolmier@volvocars.com> Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com> Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com> --------- Signed-off-by: Julien Jerphanion <git@jjerphan.xyz> Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> Co-authored-by: Meekail Zain <34613774+Micky774@users.noreply.github.com> Co-authored-by: Julien Jerphanion <git@jjerphan.xyz> Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org> Co-authored-by: zeeshan lone <56621467+still-learning-ev@users.noreply.github.com> Co-authored-by: jeremiedbb <jeremiedbb@yahoo.fr> Co-authored-by: Adrin Jalali <adrin.jalali@gmail.com> Co-authored-by: Shiva chauhan <103742975+Shivachauhan17@users.noreply.github.com> Co-authored-by: AymericBasset <45051041+AymericBasset@users.noreply.github.com> Co-authored-by: Maren Westermann <maren.westermann@gmail.com> Co-authored-by: Nishu Choudhary <51842539+choudharynishu@users.noreply.github.com> Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com> Co-authored-by: Loïc Estève <loic.esteve@ymail.com> Co-authored-by: Benedek Harsanyi <80836204+hbenedek@users.noreply.github.com> Co-authored-by: Pooja Subramaniam <poojas2086@gmail.com> Co-authored-by: Rushil Desai <rushildesai01@gmail.com> Co-authored-by: Xiao Yuan <yuanx749@gmail.com> Co-authored-by: Omar Salman <omar.salman@arbisoft.com> Co-authored-by: 2357juan <29247195+2357juan@users.noreply.github.com> Co-authored-by: Théophile Baranger <39696928+tbaranger@users.noreply.github.com> Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com> Co-authored-by: Andreas Mueller <t3kcit@gmail.com> Co-authored-by: Jovan Stojanovic <62058944+jovan-stojanovic@users.noreply.github.com> Co-authored-by: Rahil Parikh <75483881+rprkh@users.noreply.github.com> Co-authored-by: Bharat Raghunathan <bharatraghunthan9767@gmail.com> Co-authored-by: Sortofamudkip <wishyutp0328@gmail.com> Co-authored-by: Gleb Levitski <36483986+glevv@users.noreply.github.com> Co-authored-by: Christian Lorentzen <lorentzen.ch@gmail.com> Co-authored-by: Ashwin Mathur <97467100+awinml@users.noreply.github.com> Co-authored-by: Sahil Gupta <sahil@Sahils-MBP.lan> Co-authored-by: Veghit <itay.vegh@gmail.com> Co-authored-by: Itay <itayvegh@gmail.com> Co-authored-by: precondition <57645186+precondition@users.noreply.github.com> Co-authored-by: Marc Torrellas Socastro <marc.torsoc@gmail.com> Co-authored-by: Dominic Fox <dominicjfox2@gmail.com> Co-authored-by: futurewarning <36329275+futurewarning@users.noreply.github.com> Co-authored-by: Yao Xiao <108576690+Charlie-XIAO@users.noreply.github.com> Co-authored-by: Joey Ortiz <orangesherbet0@gmail.com> Co-authored-by: Tim Head <betatim@gmail.com> Co-authored-by: Christian Veenhuis <veenhuis@gmail.com> Co-authored-by: adienes <51664769+adienes@users.noreply.github.com> Co-authored-by: Dave Berenbaum <dave.berenbaum@gmail.com> Co-authored-by: Lene Preuss <lene.preuss@gmail.com> Co-authored-by: A.H.Mansouri <83764851+A-H-Mansoury@users.noreply.github.com> Co-authored-by: Boris Feld <lothiraldan@gmail.com> Co-authored-by: Carla J <ca.jancik@gmail.com> Co-authored-by: windiana42 <61181806+windiana42@users.noreply.github.com> Co-authored-by: mdarii <dariimaxim@gmail.com> Co-authored-by: murezzda <47388020+murezzda@users.noreply.github.com> Co-authored-by: Peter Piontek <piontek0@gmail.com> Co-authored-by: John Pangas <swiftyxswaggy@outlook.com> Co-authored-by: Dmitry Nesterov <76070534+dmitrylala@users.noreply.github.com> Co-authored-by: Yuchen Zhou <72342196+ROMEEZHOU@users.noreply.github.com> Co-authored-by: Ekaterina Butyugina <102963496+ekaterinabutyugina@users.noreply.github.com> Co-authored-by: Jiawei Zhang <jiawei.zhang@nyu.edu> Co-authored-by: Ansam Zedan <86729068+ansamz@users.noreply.github.com> Co-authored-by: genvalen <genvalen@protonmail.com> Co-authored-by: farhan khan <86480450+BabaYaga1221@users.noreply.github.com> Co-authored-by: Arturo Amor <86408019+ArturoAmorQ@users.noreply.github.com> Co-authored-by: Jiawei Zhang <jz4721@nyu.edu> Co-authored-by: Ralf Gommers <ralf.gommers@gmail.com> Co-authored-by: Jessicakk0711 <106110789+Jessicakk0711@users.noreply.github.com> Co-authored-by: Ankur Singh <singankur28@gmail.com> Co-authored-by: Seoeun(Sun☀️) Hong <75988952+seoeunHong@users.noreply.github.com> Co-authored-by: Nightwalkx <74856680+xi-jiajun@users.noreply.github.com> Co-authored-by: VIGNESH D <35656793+dvignesh1995@users.noreply.github.com> Co-authored-by: Vincent-violet <130581473+Vincent-violet@users.noreply.github.com> Co-authored-by: Elabonga Atuo <elabongaatuo@gmail.com> Co-authored-by: Tom Dupré la Tour <tom.dupre-la-tour@m4x.org> Co-authored-by: André Pedersen <andrped94@gmail.com> Co-authored-by: Ashish Dutt <ashish.dutt8@gmail.com> Co-authored-by: Phil <philsupertramp@users.noreply.github.com> Co-authored-by: Stanislav (Stanley) Modrak <44023416+smith558@users.noreply.github.com> Co-authored-by: hujiahong726 <52920842+hujiahong726@users.noreply.github.com> Co-authored-by: James Dean <24254612+AcylSilane@users.noreply.github.com> Co-authored-by: ArturoAmorQ <arturo.amor-quiroz@polytechnique.edu> Co-authored-by: Aleksandr Kokhaniukov <alexander.kohanyukov@gmail.com> Co-authored-by: c-git <43485962+c-git@users.noreply.github.com> Co-authored-by: annegnx <64203599+annegnx@users.noreply.github.com> Co-authored-by: Geoffrey <geoffrey.bolmier@gmail.com> Co-authored-by: gbolmier <geoffrey.bolmier@volvocars.com>
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This PR explicitly configures DataFrames construction to not copy when the input does not need to be copied. For scikit-learn this is important for NumPy arrays, where we do not want to copy when forming the DataFrame. This PR only sets
copy=Falsein non-tests code.Note that
copy=Falseis the current default, but semantics may change in pandas. Currently, if panda's Copy on Write is turned on throughpd.options.mode.copy_on_write = True, thencopy=Truefor ndarrays. As of 2.0, the default iscopy_on_write=False. Here is the pandas PR the made the change: pandas-dev/pandas#51731From the pandas doc's, they expect CoW to be enabled by default in 3.0.
CC @jorisvandenbossche