scikit-learn/scikit-learn

Pattern Findings

6826 matches across 14 categories. Click a row to expand file-level details.

Hyper-Verbose Identifiers4086 hits · 3474 pts

Severity	File	Line	Snippet
LOW	asv_benchmarks/benchmarks/metrics.py	44	def peakmem_pairwise_distances(self, *args):
LOW	asv_benchmarks/benchmarks/datasets.py	84	def _synth_regression_dataset(n_samples=100000, n_features=100, dtype=np.float32):
LOW	asv_benchmarks/benchmarks/datasets.py	100	def _synth_regression_sparse_dataset(
LOW	asv_benchmarks/benchmarks/datasets.py	118	def _synth_classification_dataset(
LOW	asv_benchmarks/benchmarks/utils.py	24	def make_dict_learning_scorers(caller):
LOW	sklearn/conftest.py	131	def pytest_collection_modifyitems(config, items):
LOW	sklearn/conftest.py	274	def munge_scipy_to_check_spmatrix_usage():
LOW	sklearn/multiclass.py	118	def _threshold_for_binary_predict(estimator):
LOW	sklearn/random_projection.py	63	def johnson_lindenstrauss_min_dim(n_samples, *, eps=0.1):
LOW	sklearn/random_projection.py	360	def _compute_inverse_components(self):
LOW	sklearn/multioutput.py	81	def _available_if_estimator_has(attr):
LOW	sklearn/multioutput.py	624	def _available_if_base_estimator_has(attr):
LOW	sklearn/pipeline.py	1578	def _fit_transform_one_with_callbacks(
LOW	sklearn/pipeline.py	1820	def _validate_transformer_weights(self):
LOW	sklearn/pipeline.py	1880	def _add_prefix_for_feature_names_out(self, transformer_with_feature_names_out):
LOW	sklearn/calibration.py	598	def _fit_classifier_calibrator_pair(
LOW	sklearn/tree/_classes.py	186	def _compute_missing_values_in_feature_mask(self, X, estimator_name=None):
LOW	sklearn/tree/_classes.py	627	def cost_complexity_pruning_path(self, X, y, sample_weight=None):
LOW	sklearn/tree/_classes.py	1411	def _compute_partial_dependence_recursion(self, grid, target_features):
LOW	sklearn/tree/tests/test_split.py	40	def compute_node_value_and_impurity(self, y, w):
LOW	sklearn/tree/tests/test_monotonic_tree.py	44	def test_monotonic_constraints_classifications(
LOW	sklearn/tree/tests/test_monotonic_tree.py	123	def test_monotonic_constraints_regressions(
LOW	sklearn/tree/tests/test_monotonic_tree.py	207	def test_multiple_output_raises(TreeClassifier):
LOW	sklearn/tree/tests/test_monotonic_tree.py	220	def test_bad_monotonic_cst_raises(TreeClassifier):
LOW	sklearn/tree/tests/test_monotonic_tree.py	374	def assert_nd_reg_tree_children_monotonic_bounded(tree_, monotonic_cst):
LOW	sklearn/tree/tests/test_monotonic_tree.py	444	def test_assert_nd_reg_tree_children_monotonic_bounded():
LOW	sklearn/tree/tests/test_monotonic_tree.py	481	def test_nd_tree_nodes_values(
LOW	sklearn/tree/tests/test_tree.py	745	def test_min_weight_fraction_leaf_on_dense_input(name):
LOW	sklearn/tree/tests/test_tree.py	751	def test_min_weight_fraction_leaf_on_sparse_input(name, csc_container):
LOW	sklearn/tree/tests/test_tree.py	755	def check_min_weight_fraction_leaf_with_min_samples_leaf(
LOW	sklearn/tree/tests/test_tree.py	1623	def test_public_apply_all_trees(name):
LOW	sklearn/tree/tests/test_tree.py	1633	def test_public_apply_sparse_trees(name, csr_container):
LOW	sklearn/tree/tests/test_tree.py	1641	def test_decision_path_hardcoded():
LOW	sklearn/tree/tests/test_tree.py	257	def test_weighted_classification_toy():
LOW	sklearn/tree/tests/test_tree.py	489	def test_importances_gini_equal_squared_error():
LOW	sklearn/tree/tests/test_tree.py	685	def check_min_weight_fraction_leaf(name, datasets, sparse_container=None):
LOW	sklearn/tree/tests/test_tree.py	817	def test_min_weight_fraction_leaf_with_min_samples_leaf_on_dense_input(name):
LOW	sklearn/tree/tests/test_tree.py	823	def test_min_weight_fraction_leaf_with_min_samples_leaf_on_sparse_input(
LOW	sklearn/tree/tests/test_tree.py	840	def test_min_impurity_decrease(TreeEstimator, criterion, global_random_seed):
LOW	sklearn/tree/tests/test_tree.py	1132	def test_sample_weight_invalid():
LOW	sklearn/tree/tests/test_tree.py	1226	def test_max_leaf_nodes_max_depth():
LOW	sklearn/tree/tests/test_tree.py	1253	def test_only_constant_features():
LOW	sklearn/tree/tests/test_tree.py	1264	def test_almost_constant_feature(tree_cls):
LOW	sklearn/tree/tests/test_tree.py	1284	def test_behaviour_constant_feature_after_splits():
LOW	sklearn/tree/tests/test_tree.py	1298	def test_with_only_one_non_constant_features():
LOW	sklearn/tree/tests/test_tree.py	1413	def test_sparse_input_reg_trees(tree_type, dataset):
LOW	sklearn/tree/tests/test_tree.py	1505	def test_explicit_sparse_zeros(tree_type, csc_container, csr_container):
LOW	sklearn/tree/tests/test_tree.py	1604	def test_min_weight_leaf_split_level(name, sparse_container):
LOW	sklearn/tree/tests/test_tree.py	1870	def test_empty_leaf_infinite_threshold(sparse_container):
LOW	sklearn/tree/tests/test_tree.py	1892	def test_prune_tree_classifier_are_subtrees(dataset, tree_cls):
LOW	sklearn/tree/tests/test_tree.py	1908	def test_prune_tree_regression_are_subtrees(dataset, tree_cls):
LOW	sklearn/tree/tests/test_tree.py	1923	def test_prune_single_node_tree():
LOW	sklearn/tree/tests/test_tree.py	1935	def assert_pruning_creates_subtree(estimator_cls, X, y, pruning_path):
LOW	sklearn/tree/tests/test_tree.py	1993	def test_apply_path_readonly_all_trees(name, splitter, sparse_container):
LOW	sklearn/tree/tests/test_tree.py	2113	def test_criterion_entropy_same_as_log_loss(Tree, n_classes):
LOW	sklearn/tree/tests/test_tree.py	2135	def test_different_endianness_pickle():
LOW	sklearn/tree/tests/test_tree.py	2145	def get_pickle_non_native_endianness():
LOW	sklearn/tree/tests/test_tree.py	2160	def test_different_endianness_joblib_pickle():
LOW	sklearn/tree/tests/test_tree.py	2173	def get_joblib_pickle_non_native_endianness():
LOW	sklearn/tree/tests/test_tree.py	2186	def get_different_bitness_node_ndarray(node_ndarray):
4026 more matches not shown…

Decorative Section Separators699 hits · 2108 pts

Severity	File	Line	Snippet
MEDIUM	sklearn/__init__.py	7	# ==================================
MEDIUM	sklearn/tree/_classes.py	63	# =============================================================================
MEDIUM	sklearn/tree/_classes.py	65	# =============================================================================
MEDIUM	sklearn/tree/_classes.py	85	# =============================================================================
MEDIUM	sklearn/tree/_classes.py	87	# =============================================================================
MEDIUM	sklearn/tree/_classes.py	694	# =============================================================================
MEDIUM	sklearn/tree/_classes.py	696	# =============================================================================
MEDIUM	sklearn/metrics/cluster/tests/test_common.py	28	# ------------------------
MEDIUM	sklearn/metrics/cluster/tests/test_common.py	59	# ---------------------------------------
MEDIUM	sklearn/metrics/cluster/tests/test_common.py	64	# --------------------------------------------------------------------
MEDIUM	sklearn/metrics/tests/test_common.py	111	# -------------------------------------------
MEDIUM	sklearn/metrics/tests/test_common.py	127	# ------------------------
MEDIUM	sklearn/metrics/tests/test_common.py	306	# ---------------------------------------
MEDIUM	…earn/metrics/_pairwise_distances_reduction/__init__.py	6	# =============================
MEDIUM	…earn/metrics/_pairwise_distances_reduction/__init__.py	33	# ------------------------------------------
MEDIUM	…earn/metrics/_pairwise_distances_reduction/__init__.py	42	# ------------------
MEDIUM	sklearn/ensemble/tests/test_voting.py	703	# ======================
MEDIUM	sklearn/ensemble/tests/test_voting.py	796	# =============================
MEDIUM	sklearn/ensemble/tests/test_bagging.py	1085	# ======================
MEDIUM	sklearn/ensemble/tests/test_bagging.py	1157	# =============================
MEDIUM	sklearn/ensemble/tests/test_stacking.py	903	# ======================
MEDIUM	sklearn/ensemble/tests/test_stacking.py	1020	# =============================
MEDIUM	sklearn/semi_supervised/tests/test_self_training.py	358	# =================================================================
MEDIUM	sklearn/semi_supervised/tests/test_self_training.py	384	# ====================
MEDIUM	sklearn/compose/tests/test_column_transformer.py	2712	# ======================
MEDIUM	sklearn/compose/tests/test_column_transformer.py	2899	# =============================
MEDIUM	sklearn/externals/_arff.py	845	# -----------------------------------------------------------------
MEDIUM	sklearn/externals/_arff.py	853	# -----------------------------------------------------------------
MEDIUM	sklearn/externals/_arff.py	858	# -----------------------------------------------------------------
MEDIUM	sklearn/externals/_arff.py	1	# =============================================================================
MEDIUM	sklearn/externals/_arff.py	5	# =============================================================================
MEDIUM	sklearn/externals/_arff.py	25	# =============================================================================
MEDIUM	sklearn/externals/_arff.py	414	# =============================================================================
MEDIUM	sklearn/externals/_arff.py	663	# =============================================================================
MEDIUM	sklearn/externals/_arff.py	807	# -----------------------------------------------------------------
MEDIUM	sklearn/externals/_arff.py	816	# -----------------------------------------------------------------
MEDIUM	sklearn/externals/_arff.py	1042	# =============================================================================
MEDIUM	sklearn/externals/_arff.py	1107	# =============================================================================
MEDIUM	sklearn/tests/test_pipeline.py	2098	# =====================
MEDIUM	sklearn/tests/test_pipeline.py	2264	# =============================
MEDIUM	sklearn/tests/test_pipeline.py	2322	# =====================================================================
MEDIUM	sklearn/tests/test_pipeline.py	2606	# ====================
MEDIUM	sklearn/linear_model/tests/test_ridge.py	2635	# ======================
MEDIUM	sklearn/linear_model/tests/test_ridge.py	2665	# =============================
MEDIUM	sklearn/utils/_pprint.py	17	# --------------------------------------------
MEDIUM	sklearn/utils/_metadata_requests.py	262	# ==============
MEDIUM	sklearn/utils/_metadata_requests.py	323	# =====================================
MEDIUM	sklearn/utils/_metadata_requests.py	778	# ============================
MEDIUM	sklearn/utils/_metadata_requests.py	1337	# ==============
MEDIUM	sklearn/utils/_metadata_requests.py	1753	# ==========================
MEDIUM	sklearn/manifold/tests/test_locally_linear.py	19	# ----------------------------------------------------------------------
MEDIUM	sklearn/manifold/tests/test_locally_linear.py	40	# ----------------------------------------------------------------------
MEDIUM	sklearn/model_selection/tests/test_validation.py	2448	# ======================================================
MEDIUM	sklearn/model_selection/tests/test_validation.py	2705	# =============================
MEDIUM	sklearn/model_selection/tests/test_search.py	2696	# ======================
MEDIUM	sklearn/model_selection/tests/test_search.py	2760	# =============================
MEDIUM	sklearn/decomposition/_kernel_pca.py	386	# ----------------------------------------------
MEDIUM	examples/bicluster/plot_spectral_biclustering.py	26	# --------------------
MEDIUM	examples/bicluster/plot_spectral_biclustering.py	69	# ------------------------------
MEDIUM	examples/bicluster/plot_spectral_biclustering.py	92	# ----------------
639 more matches not shown…

Unused Imports744 hits · 648 pts

Severity	File	Line
LOW	sklearn/conftest.py	41
LOW	sklearn/conftest.py	66
LOW	sklearn/conftest.py	239
LOW	sklearn/__init__.py	24
LOW	sklearn/__init__.py	24
LOW	sklearn/__init__.py	24
LOW	sklearn/__init__.py	69
LOW	sklearn/__init__.py	69
LOW	sklearn/__init__.py	70
LOW	sklearn/__init__.py	71
LOW	sklearn/tree/__init__.py	6
LOW	sklearn/tree/__init__.py	6
LOW	sklearn/tree/__init__.py	6
LOW	sklearn/tree/__init__.py	6
LOW	sklearn/tree/__init__.py	6
LOW	sklearn/tree/__init__.py	13
LOW	sklearn/tree/__init__.py	13
LOW	sklearn/tree/__init__.py	13
LOW	sklearn/metrics/__init__.py	6
LOW	sklearn/metrics/__init__.py	7
LOW	sklearn/metrics/__init__.py	7
LOW	sklearn/metrics/__init__.py	7
LOW	sklearn/metrics/__init__.py	7
LOW	sklearn/metrics/__init__.py	7
LOW	sklearn/metrics/__init__.py	7
LOW	sklearn/metrics/__init__.py	7
LOW	sklearn/metrics/__init__.py	7
LOW	sklearn/metrics/__init__.py	7
LOW	sklearn/metrics/__init__.py	7
LOW	sklearn/metrics/__init__.py	7
LOW	sklearn/metrics/__init__.py	7
LOW	sklearn/metrics/__init__.py	7
LOW	sklearn/metrics/__init__.py	7
LOW	sklearn/metrics/__init__.py	7
LOW	sklearn/metrics/__init__.py	7
LOW	sklearn/metrics/__init__.py	7
LOW	sklearn/metrics/__init__.py	7
LOW	sklearn/metrics/__init__.py	7
LOW	sklearn/metrics/__init__.py	7
LOW	sklearn/metrics/__init__.py	7
LOW	sklearn/metrics/__init__.py	30
LOW	sklearn/metrics/__init__.py	31
LOW	sklearn/metrics/__init__.py	32
LOW	sklearn/metrics/__init__.py	33
LOW	sklearn/metrics/__init__.py	34
LOW	sklearn/metrics/__init__.py	35
LOW	sklearn/metrics/__init__.py	36
LOW	sklearn/metrics/__init__.py	36
LOW	sklearn/metrics/__init__.py	36
LOW	sklearn/metrics/__init__.py	36
LOW	sklearn/metrics/__init__.py	36
LOW	sklearn/metrics/__init__.py	36
LOW	sklearn/metrics/__init__.py	36
LOW	sklearn/metrics/__init__.py	36
LOW	sklearn/metrics/__init__.py	36
LOW	sklearn/metrics/__init__.py	36
LOW	sklearn/metrics/__init__.py	36
LOW	sklearn/metrics/__init__.py	36
LOW	sklearn/metrics/__init__.py	36
LOW	sklearn/metrics/__init__.py	36
684 more matches not shown…

Cross-File Repetition125 hits · 625 pts

Severity	File	Line	Snippet
HIGH	sklearn/multiclass.py	0	get metadata routing of this object. please check :ref:`user guide <metadata_routing>` on how the routing mechanism work
HIGH	sklearn/multiclass.py	0	get metadata routing of this object. please check :ref:`user guide <metadata_routing>` on how the routing mechanism work
HIGH	sklearn/multiclass.py	0	get metadata routing of this object. please check :ref:`user guide <metadata_routing>` on how the routing mechanism work
HIGH	sklearn/compose/_column_transformer.py	0	get metadata routing of this object. please check :ref:`user guide <metadata_routing>` on how the routing mechanism work
HIGH	sklearn/linear_model/_least_angle.py	0	get metadata routing of this object. please check :ref:`user guide <metadata_routing>` on how the routing mechanism work
HIGH	sklearn/linear_model/_logistic.py	0	get metadata routing of this object. please check :ref:`user guide <metadata_routing>` on how the routing mechanism work
HIGH	sklearn/linear_model/_omp.py	0	get metadata routing of this object. please check :ref:`user guide <metadata_routing>` on how the routing mechanism work
HIGH	sklearn/linear_model/_coordinate_descent.py	0	get metadata routing of this object. please check :ref:`user guide <metadata_routing>` on how the routing mechanism work
HIGH	sklearn/feature_selection/_from_model.py	0	get metadata routing of this object. please check :ref:`user guide <metadata_routing>` on how the routing mechanism work
HIGH	sklearn/model_selection/_search.py	0	get metadata routing of this object. please check :ref:`user guide <metadata_routing>` on how the routing mechanism work
HIGH	sklearn/multioutput.py	0	get metadata routing of this object. please check :ref:`user guide <metadata_routing>` on how the routing mechanism work
HIGH	sklearn/multioutput.py	0	get metadata routing of this object. please check :ref:`user guide <metadata_routing>` on how the routing mechanism work
HIGH	sklearn/multioutput.py	0	get metadata routing of this object. please check :ref:`user guide <metadata_routing>` on how the routing mechanism work
HIGH	sklearn/pipeline.py	0	get metadata routing of this object. please check :ref:`user guide <metadata_routing>` on how the routing mechanism work
HIGH	sklearn/calibration.py	0	get metadata routing of this object. please check :ref:`user guide <metadata_routing>` on how the routing mechanism work
HIGH	sklearn/model_selection/_classification_threshold.py	0	get metadata routing of this object. please check :ref:`user guide <metadata_routing>` on how the routing mechanism work
HIGH	sklearn/model_selection/_classification_threshold.py	0	get metadata routing of this object. please check :ref:`user guide <metadata_routing>` on how the routing mechanism work
HIGH	sklearn/pipeline.py	0	get metadata routing of this object. please check :ref:`user guide <metadata_routing>` on how the routing mechanism work
HIGH	sklearn/ensemble/_voting.py	0	get metadata routing of this object. please check :ref:`user guide <metadata_routing>` on how the routing mechanism work
HIGH	sklearn/ensemble/_bagging.py	0	get metadata routing of this object. please check :ref:`user guide <metadata_routing>` on how the routing mechanism work
HIGH	sklearn/linear_model/_ridge.py	0	get metadata routing of this object. please check :ref:`user guide <metadata_routing>` on how the routing mechanism work
HIGH	sklearn/linear_model/_ransac.py	0	get metadata routing of this object. please check :ref:`user guide <metadata_routing>` on how the routing mechanism work
HIGH	sklearn/impute/_iterative.py	0	get metadata routing of this object. please check :ref:`user guide <metadata_routing>` on how the routing mechanism work
HIGH	sklearn/covariance/_graph_lasso.py	0	get metadata routing of this object. please check :ref:`user guide <metadata_routing>` on how the routing mechanism work
HIGH	…learn/metrics/_plot/tests/test_common_curve_display.py	0	check that named constructors return the correct type when subclassed. non-regression test for: https://github.com/sciki
HIGH	…inspection/_plot/tests/test_plot_partial_dependence.py	0	check that named constructors return the correct type when subclassed. non-regression test for: https://github.com/sciki
HIGH	…spection/_plot/tests/test_boundary_decision_display.py	0	check that named constructors return the correct type when subclassed. non-regression test for: https://github.com/sciki
HIGH	sklearn/model_selection/tests/test_plot.py	0	check that named constructors return the correct type when subclassed. non-regression test for: https://github.com/sciki
HIGH	sklearn/ensemble/_voting.py	0	get output feature names for transformation. parameters ---------- input_features : array-like of str or none, default=n
HIGH	sklearn/ensemble/_voting.py	0	get output feature names for transformation. parameters ---------- input_features : array-like of str or none, default=n
HIGH	sklearn/feature_extraction/_dict_vectorizer.py	0	get output feature names for transformation. parameters ---------- input_features : array-like of str or none, default=n
HIGH	sklearn/feature_extraction/text.py	0	get output feature names for transformation. parameters ---------- input_features : array-like of str or none, default=n
HIGH	sklearn/ensemble/_stacking.py	0	get metadata routing of this object. please check :ref:`user guide <metadata_routing>` on how the routing mechanism work
HIGH	sklearn/semi_supervised/_self_training.py	0	get metadata routing of this object. please check :ref:`user guide <metadata_routing>` on how the routing mechanism work
HIGH	sklearn/compose/_target.py	0	get metadata routing of this object. please check :ref:`user guide <metadata_routing>` on how the routing mechanism work
HIGH	sklearn/feature_selection/_rfe.py	0	get metadata routing of this object. please check :ref:`user guide <metadata_routing>` on how the routing mechanism work
HIGH	sklearn/feature_selection/_rfe.py	0	get metadata routing of this object. please check :ref:`user guide <metadata_routing>` on how the routing mechanism work
HIGH	sklearn/feature_selection/_sequential.py	0	get metadata routing of this object. please check :ref:`user guide <metadata_routing>` on how the routing mechanism work
HIGH	sklearn/ensemble/tests/test_voting.py	0	test that the right error message is raised when metadata is passed while not supported when `enable_metadata_routing=fa
HIGH	sklearn/ensemble/tests/test_stacking.py	0	test that the right error message is raised when metadata is passed while not supported when `enable_metadata_routing=fa
HIGH	sklearn/semi_supervised/tests/test_self_training.py	0	test that the right error message is raised when metadata is passed while not supported when `enable_metadata_routing=fa
HIGH	sklearn/compose/tests/test_column_transformer.py	0	test that the right error message is raised when metadata is passed while not supported when `enable_metadata_routing=fa
HIGH	sklearn/tests/test_pipeline.py	0	test that the right error message is raised when metadata is passed while not supported when `enable_metadata_routing=fa
HIGH	sklearn/ensemble/tests/test_voting.py	0	test that the right error is raised when metadata is not requested.
HIGH	sklearn/ensemble/tests/test_stacking.py	0	test that the right error is raised when metadata is not requested.
HIGH	sklearn/compose/tests/test_column_transformer.py	0	test that the right error is raised when metadata is not requested.
HIGH	sklearn/tests/test_pipeline.py	0	test that the right error is raised when metadata is not requested.
HIGH	…perimental/tests/test_enable_hist_gradient_boosting.py	0	tests for making sure experimental imports work as expected.
HIGH	…rn/experimental/tests/test_enable_iterative_imputer.py	0	tests for making sure experimental imports work as expected.
HIGH	…n/experimental/tests/test_enable_successive_halving.py	0	tests for making sure experimental imports work as expected.
HIGH	sklearn/_loss/loss.py	0	compute raw_prediction of an intercept-only model. this is the weighted median of the target, i.e. over the samples axis
HIGH	sklearn/_loss/loss.py	0	compute raw_prediction of an intercept-only model. this is the weighted median of the target, i.e. over the samples axis
HIGH	sklearn/_loss/loss.py	0	compute raw_prediction of an intercept-only model. this is the weighted median of the target, i.e. over the samples axis
HIGH	sklearn/gaussian_process/kernels.py	0	get parameters of this kernel. parameters ---------- deep : bool, default=true if true, will return the parameters for t
HIGH	sklearn/gaussian_process/kernels.py	0	get parameters of this kernel. parameters ---------- deep : bool, default=true if true, will return the parameters for t
HIGH	sklearn/gaussian_process/kernels.py	0	get parameters of this kernel. parameters ---------- deep : bool, default=true if true, will return the parameters for t
HIGH	sklearn/gaussian_process/kernels.py	0	get parameters of this kernel. parameters ---------- deep : bool, default=true if true, will return the parameters for t
HIGH	sklearn/gaussian_process/kernels.py	0	returns the (flattened, log-transformed) non-fixed hyperparameters. note that theta are typically the log-transformed va
HIGH	sklearn/gaussian_process/kernels.py	0	returns the (flattened, log-transformed) non-fixed hyperparameters. note that theta are typically the log-transformed va
HIGH	sklearn/gaussian_process/kernels.py	0	returns the (flattened, log-transformed) non-fixed hyperparameters. note that theta are typically the log-transformed va
65 more matches not shown…

Over-Commented Block625 hits · 609 pts

Severity	File	Line	Snippet
LOW	asv_benchmarks/asv.conf.json	21
LOW	asv_benchmarks/asv.conf.json	41	//"install_timeout": 600,
LOW	asv_benchmarks/asv.conf.json	81	//
LOW	asv_benchmarks/asv.conf.json	101	// {"environment_type": "conda", "six": null}, // don't run without six on conda
LOW	asv_benchmarks/asv.conf.json	121	// "results_dir": "results",
LOW	asv_benchmarks/asv.conf.json	141	// skipped for the matching benchmark.
LOW	asv_benchmarks/benchmarks/config.json	1	{
LOW	sklearn/__init__.py	1	"""Configure global settings and get information about the working environment."""
LOW	sklearn/__init__.py	21	import os
LOW	sklearn/__init__.py	41	#
LOW	sklearn/calibration.py	1141	# TODO: numpy 2.0
LOW	sklearn/tree/tests/test_monotonic_tree.py	321	depth_first_builder,
LOW	sklearn/tree/tests/test_monotonic_tree.py	401	# down the tree to both children.
LOW	sklearn/tree/tests/test_monotonic_tree.py	481	def test_nd_tree_nodes_values(
LOW	sklearn/metrics/cluster/tests/test_common.py	21	from sklearn.metrics.tests.test_common import check_array_api_metric
LOW	sklearn/metrics/_plot/__init__.py	1	# Authors: The scikit-learn developers
LOW	sklearn/metrics/tests/test_common.py	101	assert_array_equal,
LOW	sklearn/metrics/tests/test_common.py	121	# all metrics that have the same behavior.
LOW	…earn/metrics/_pairwise_distances_reduction/__init__.py	1	# Authors: The scikit-learn developers
LOW	…earn/metrics/_pairwise_distances_reduction/__init__.py	21	# For computational reasons, the reduction are performed on the fly on chunks
LOW	…earn/metrics/_pairwise_distances_reduction/__init__.py	41	# High-level diagram
LOW	…earn/metrics/_pairwise_distances_reduction/__init__.py	61	# \| \| (float{32,64} implem.) \| \|
LOW	…earn/metrics/_pairwise_distances_reduction/__init__.py	81	# - :class:`ArgKmin64` if X and Y are two `float64` array-likes
LOW	sklearn/ensemble/_hist_gradient_boosting/predictor.py	141	# while on 32 bit np.intp = np.int32.
LOW	…hist_gradient_boosting/tests/test_gradient_boosting.py	521	# Test that the class distributions in the whole dataset and in the small
LOW	…_hist_gradient_boosting/tests/test_compare_lightgbm.py	41	# samples is large enough, the structure of the prediction trees found by
LOW	sklearn/cluster/_hdbscan/__init__.py	1	# Authors: The scikit-learn developers
LOW	sklearn/cluster/_hdbscan/hdbscan.py	1	"""
LOW	sklearn/cluster/_hdbscan/hdbscan.py	21	# specific prior written permission.
LOW	sklearn/_loss/loss.py	1	"""
LOW	sklearn/_loss/loss.py	61	# - HistGradientBoostingClassifier: (n_classes, n_samples)
LOW	sklearn/_loss/loss.py	1461	#
LOW	sklearn/_loss/tests/test_loss.py	281	#
LOW	sklearn/gaussian_process/kernels.py	1	"""A set of kernels that can be combined by operators and used in Gaussian processes."""
LOW	sklearn/gaussian_process/_gpr.py	601	alpha = cho_solve((L, GPR_CHOLESKY_LOWER), y_train, check_finite=False)
LOW	sklearn/gaussian_process/_gpr.py	621	# 0.5 * trace((alpha . alpha^T - K^-1) . K_gradient)
LOW	sklearn/datasets/_arff_parser.py	421	# `pd.read_csv` automatically handles double quotes for quoting non-numeric
LOW	sklearn/datasets/images/__init__.py	1	# Authors: The scikit-learn developers
LOW	sklearn/datasets/descr/__init__.py	1	# Authors: The scikit-learn developers
LOW	sklearn/datasets/data/__init__.py	1	# Authors: The scikit-learn developers
LOW	sklearn/externals/conftest.py	1	# Do not collect any tests in externals. This is more robust than using
LOW	sklearn/externals/_arff.py	1	# =============================================================================
LOW	sklearn/externals/array_api_compat/torch/_aliases.py	721	# torch.unique doesn't support returning indices.
LOW	sklearn/externals/array_api_compat/torch/linalg.py	61	# See linalg_solve_is_vector_rhs in
LOW	sklearn/externals/_numpydoc/docscrape.py	241	desc = r.read_to_next_unindented_line()
LOW	sklearn/externals/_packaging/version.py	1	"""Vendored from
LOW	sklearn/externals/_packaging/version.py	481	local: Optional[Tuple[SubLocalType]],
LOW	sklearn/externals/_packaging/_structures.py	1	"""Vendoered from
LOW	sklearn/tests/test_docstrings.py	61
LOW	sklearn/tests/test_docstrings.py	81	# Ignore GL08: Parsing of the method signature failed, possibly because this is
LOW	sklearn/linear_model/_quantile.py	201	# min sum(pinball loss) + alpha * L1
LOW	sklearn/linear_model/_linear_loss.py	581	if self.fit_intercept:
LOW	sklearn/linear_model/_linear_loss.py	621	#
LOW	sklearn/linear_model/_linear_loss.py	821	# - p_i_k is the (predicted) probability that sample i belongs to class k
LOW	sklearn/linear_model/_coordinate_descent.py	1181	#
LOW	sklearn/linear_model/_glm/glm.py	241	# We want to minimize
LOW	sklearn/linear_model/_glm/_newton_solver.py	321	print(" Check Convergence")
LOW	sklearn/linear_model/_glm/_newton_solver.py	401
LOW	sklearn/linear_model/_glm/_newton_solver.py	521	return
LOW	sklearn/linear_model/_glm/_newton_solver.py	541	n_classes = self.linear_loss.base_loss.n_classes
565 more matches not shown…

Self-Referential Comments82 hits · 256 pts

Severity	File	Line	Snippet
MEDIUM	sklearn/tree/tests/test_tree.py	2686	# Create a predictive feature using `y` and with some noise
MEDIUM	sklearn/tree/tests/test_tree.py	2896	# Create a tree with root and two children
MEDIUM	…earn/metrics/_pairwise_distances_reduction/__init__.py	11	# This module provides routines to compute pairwise distances between a set
MEDIUM	sklearn/ensemble/tests/test_forest.py	858	# Create the RTE with sparse=False
MEDIUM	sklearn/ensemble/tests/test_forest.py	871	# Create the RTEs
MEDIUM	sklearn/ensemble/tests/test_forest.py	1900	# Create a predictive feature using `y` and with some noise
MEDIUM	sklearn/ensemble/_hist_gradient_boosting/__init__.py	1	"""This module implements histogram-based gradient boosting estimators.
MEDIUM	sklearn/gaussian_process/tests/test_gpr.py	411	# Define a dummy optimizer that simply tests 50 random hyperparameters
MEDIUM	sklearn/gaussian_process/tests/test_gpc.py	166	# Define a dummy optimizer that simply tests 10 random hyperparameters
MEDIUM	sklearn/compose/_column_transformer.py	1335	# This function is not validated using validate_params because
MEDIUM	sklearn/datasets/_svmlight_format_io.py	1	"""This module implements a loader and dumper for the svmlight format
MEDIUM	sklearn/datasets/_openml.py	172	# Create a tmpdir as a subfolder of dir_name where the final file will
MEDIUM	sklearn/externals/_arff.py	781	# Create the return object
MEDIUM	sklearn/externals/_arff.py	790	# Create the data helper object
MEDIUM	sklearn/tests/test_calibration.py	314	# This function is called from _CalibratedClassifier.predict_proba.
MEDIUM	sklearn/tests/test_naive_bayes.py	201	# Create an empty array
MEDIUM	sklearn/tests/test_pipeline.py	1519	# Create a new pipeline with cloned estimators
MEDIUM	sklearn/tests/test_pipeline.py	2326	# This class is used in this section for testing routing in the pipeline.
MEDIUM	sklearn/linear_model/tests/test_sgd.py	1881	# Define a ground truth on the scaled data
MEDIUM	sklearn/linear_model/tests/test_sgd.py	2133	# Create a classification problem with 50000 features and 20 classes. Using
MEDIUM	sklearn/linear_model/tests/test_least_angle.py	363	# Create an ill-conditioned situation in which the LARS has to go
MEDIUM	sklearn/linear_model/tests/test_coordinate_descent.py	1594	# Create a problem sufficiently large to cause memmapping (1MB).
MEDIUM	sklearn/impute/tests/test_impute.py	197	# Create a matrix X with columns
MEDIUM	sklearn/impute/tests/test_impute.py	213	# Create the columns
MEDIUM	sklearn/utils/_array_api.py	1325	# The following code is strongly inspired and simplified from
MEDIUM	sklearn/utils/metadata_routing.py	3	# This module is not a separate sub-folder since that would result in a circular
MEDIUM	sklearn/utils/_testing.py	562	# Create a list of parameters to compare with the parameters gotten
MEDIUM	sklearn/utils/validation.py	48	# This function is not used anymore at this moment in the code base but we keep it in
MEDIUM	sklearn/utils/tests/test_estimator_checks.py	1337	# This module is run as a script to check that we have no dependency on
MEDIUM	sklearn/utils/tests/test_multiclass.py	575	# Define the sparse matrix with a mix of implicit and explicit zeros
MEDIUM	sklearn/utils/_repr_html/base.py	153	"""This function is returned by the @property `_repr_html_` to make
MEDIUM	sklearn/feature_selection/_univariate_selection.py	38	# The following function is a rewriting of scipy.stats.f_oneway
MEDIUM	sklearn/inspection/tests/test_permutation_importance.py	457	# Creating a scorer function that does not takes sample_weight
MEDIUM	sklearn/manifold/_isomap.py	418	# Create the graph of shortest distances from X to
MEDIUM	sklearn/mixture/tests/test_gaussian_mixture.py	259	# Define the bad precisions for each covariance_type
MEDIUM	sklearn/preprocessing/_data.py	2914	# Create the quantiles of reference
MEDIUM	sklearn/model_selection/_search.py	1066	# Create the subcontexts ahead of time to avoid creating them on the fly
MEDIUM	sklearn/model_selection/tests/test_validation.py	2061	# Create a failing classifier to deliberately fail
MEDIUM	sklearn/model_selection/tests/test_validation.py	2126	# Create a failing classifier to deliberately fail
MEDIUM	sklearn/model_selection/tests/test_validation.py	2154	# Create a failing classifier to deliberately fail
MEDIUM	sklearn/neighbors/_classification.py	419	# This function is defined here only to modify the parent docstring
MEDIUM	sklearn/neighbors/_classification.py	887	# This function is defined here only to modify the parent docstring
MEDIUM	sklearn/neighbors/_nca.py	307	# Create a dictionary of parameters to be passed to the optimizer
MEDIUM	examples/classification/plot_digits_classification.py	62	# Create a classifier: a support vector classifier
MEDIUM	examples/tree/plot_tree_regression.py	27	# Create a random 1D dataset
MEDIUM	examples/tree/plot_tree_regression.py	91	# Create a random dataset
MEDIUM	examples/ensemble/plot_adaboost_multiclass.py	32	# Creating the dataset
MEDIUM	…/ensemble/plot_random_forest_regression_multioutput.py	34	# Create a random dataset
MEDIUM	examples/ensemble/plot_gradient_boosting_quantile.py	91	# Create an evenly spaced evaluation set of input values spanning the [0, 10]
MEDIUM	examples/ensemble/plot_forest_iris.py	102	# Create a title for each column and the console by using str() and
MEDIUM	examples/cluster/plot_adjusted_for_chance_measures.py	22	# Defining the list of metrics to evaluate
MEDIUM	examples/cluster/plot_kmeans_silhouette_analysis.py	61	# Create a subplot with 1 row and 2 columns
MEDIUM	examples/cluster/plot_kmeans_digits.py	88	# Define the metrics which require only the true labels and estimator
MEDIUM	examples/calibration/plot_compare_calibration.py	98	# Define the classifiers to be compared in the study.
MEDIUM	examples/compose/plot_digits_pipe.py	27	# Define a pipeline to search for the best combination of PCA truncation
MEDIUM	examples/compose/plot_digits_pipe.py	30	# Define a Standard Scaler to normalize inputs
MEDIUM	examples/compose/plot_compare_reduction.py	111	# Create a temporary folder to store the transformers of the pipeline
MEDIUM	examples/linear_model/plot_ridge_coeffs.py	66	# Creating a non-noisy data set
MEDIUM	examples/linear_model/plot_sgd_early_stopping.py	89	# Define the estimators to compare
MEDIUM	examples/linear_model/plot_logistic_path.py	61	# Create a pipeline with `StandardScaler` and `LogisticRegression`, to normalize
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Deep Nesting277 hits · 256 pts

Severity	File	Line
LOW	sklearn/conftest.py	131
LOW	sklearn/kernel_approximation.py	705
LOW	sklearn/multioutput.py	708
LOW	sklearn/pipeline.py	671
LOW	sklearn/discriminant_analysis.py	38
LOW	sklearn/dummy.py	252
LOW	sklearn/dummy.py	339
LOW	sklearn/dummy.py	543
LOW	sklearn/base.py	100
LOW	sklearn/calibration.py	687
LOW	sklearn/calibration.py	781
LOW	sklearn/tree/_export.py	523
LOW	sklearn/tree/_export.py	708
LOW	sklearn/tree/_classes.py	226
LOW	sklearn/tree/tests/test_split.py	40
LOW	sklearn/tree/tests/test_monotonic_tree.py	245
LOW	sklearn/tree/tests/test_monotonic_tree.py	374
LOW	sklearn/tree/tests/test_tree.py	840
LOW	sklearn/metrics/_scorer.py	560
LOW	sklearn/metrics/_scorer.py	138
LOW	sklearn/metrics/_classification.py	428
LOW	sklearn/metrics/_classification.py	1900
LOW	sklearn/metrics/_regression.py	60
LOW	sklearn/metrics/_regression.py	946
LOW	sklearn/metrics/_regression.py	1365
LOW	sklearn/metrics/_regression.py	1410
LOW	sklearn/metrics/pairwise.py	567
LOW	sklearn/metrics/pairwise.py	2303
LOW	sklearn/metrics/pairwise.py	2584
LOW	sklearn/metrics/_ranking.py	128
LOW	sklearn/metrics/cluster/_supervised.py	80
LOW	sklearn/metrics/_plot/confusion_matrix.py	88
LOW	…learn/metrics/_plot/tests/test_common_curve_display.py	486
LOW	…learn/metrics/_plot/tests/test_common_curve_display.py	593
LOW	sklearn/metrics/tests/test_common.py	847
LOW	sklearn/metrics/tests/test_common.py	2723
LOW	sklearn/metrics/tests/test_common.py	2860
LOW	sklearn/metrics/tests/test_dist_metrics.py	246
LOW	sklearn/metrics/tests/test_ranking.py	129
LOW	sklearn/metrics/tests/test_classification.py	2499
LOW	sklearn/ensemble/_bagging.py	892
LOW	sklearn/ensemble/_gb.py	136
LOW	sklearn/ensemble/_gb.py	545
LOW	sklearn/ensemble/_gb.py	626
LOW	sklearn/ensemble/_stacking.py	87
LOW	sklearn/ensemble/tests/test_forest.py	345
LOW	sklearn/ensemble/tests/test_forest.py	364
LOW	…/ensemble/_hist_gradient_boosting/gradient_boosting.py	394
LOW	sklearn/cluster/_agglomerative.py	429
LOW	sklearn/cluster/_optics.py	922
LOW	sklearn/cluster/_optics.py	1021
LOW	sklearn/cluster/_kmeans.py	462
LOW	sklearn/cluster/_kmeans.py	630
LOW	sklearn/cluster/_kmeans.py	874
LOW	sklearn/cluster/_kmeans.py	964
LOW	sklearn/cluster/_spectral.py	672
LOW	sklearn/cluster/_affinity_propagation.py	34
LOW	sklearn/cluster/tests/test_hierarchical.py	102
LOW	sklearn/cluster/tests/test_bicluster.py	94
LOW	sklearn/feature_extraction/_dict_vectorizer.py	142
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AI Slop Vocabulary67 hits · 172 pts

Severity	File	Line	Snippet
MEDIUM	sklearn/metrics/_classification.py	531	# namespace and device so as to be able to leverage the efficient
MEDIUM	sklearn/metrics/tests/test_dist_metrics.py	193	# Choose rtol to make sure that this test is robust to changes in the random
LOW	sklearn/metrics/tests/test_pairwise.py	1645	# Single dimension input, just return tuple of contents.
MEDIUM	sklearn/ensemble/tests/test_forest.py	1895	# `forest_non_predictive`: meaningful for R2/accuracy, but robust in tests.
MEDIUM	sklearn/feature_extraction/tests/test_text.py	471	# this is robust to features with only zeros
LOW	sklearn/_loss/loss.py	1452	# dtypes. For float64, we simply use the values that are present in the
MEDIUM	sklearn/datasets/tests/test_openml.py	1368	# redownload, to utilize cache
MEDIUM	sklearn/externals/conftest.py	1	# Do not collect any tests in externals. This is more robust than using
MEDIUM	sklearn/externals/array_api_compat/common/_helpers.py	1011	# as we do below for unknown arrays, this is not recommended by JAX best practices.
MEDIUM	sklearn/linear_model/_theil_sen.py	208	"""Theil-Sen Estimator: robust multivariate regression model.
MEDIUM	sklearn/linear_model/_huber.py	130	"""L2-regularized linear regression model that is robust to outliers.
MEDIUM	sklearn/linear_model/_glm/tests/test_glm.py	1006	# LBFGS is robust to a collinear design because its approximation of the
MEDIUM	sklearn/linear_model/tests/test_least_angle.py	143	# Check that lars_path is robust to collinearity in input
MEDIUM	sklearn/linear_model/tests/test_base.py	362	# robust to any random seed in the admissible range.
LOW	sklearn/utils/_array_api.py	237	# Note: here we cannot simply use a Python `set` as it requires
LOW	sklearn/utils/_metadata_requests.py	1831	# try doing any routing, we can simply return a structure which returns
LOW	sklearn/utils/tests/test_pprint.py	602	# want to expend the whole line of the right side, just add the ellispsis
LOW	sklearn/utils/tests/test_estimator_checks.py	374	# then just return zeros.
MEDIUM	sklearn/covariance/_graph_lasso.py	108	i = 0 # initialize the counter to be robust to `max_iter=0`
MEDIUM	sklearn/covariance/_graph_lasso.py	116	# be robust to the max_iter=0 edge case, see:
MEDIUM	sklearn/covariance/_robust_covariance.py	128	# compute initial robust estimates from a random subset
MEDIUM	sklearn/covariance/_robust_covariance.py	131	# get initial robust estimates from the function parameters
MEDIUM	sklearn/covariance/_robust_covariance.py	489	# take the middle points' mean to get the robust location estimate
MEDIUM	sklearn/covariance/_robust_covariance.py	622	"""Minimum Covariance Determinant (MCD): robust estimator of covariance.
MEDIUM	sklearn/preprocessing/_data.py	1553	"""Scale features using statistics that are robust to outliers.
MEDIUM	sklearn/preprocessing/tests/test_data.py	1239	# Test robust scaling of 2d array along first axis
MEDIUM	sklearn/preprocessing/tests/test_data.py	1446	# check in conjunction with subsampling
MEDIUM	sklearn/model_selection/_split.py	777	# without attempting to leverage array API namespace features. However
LOW	sklearn/decomposition/_pca.py	529	# Small problem or n_components == 'mle', just call full PCA
MEDIUM	examples/ensemble/plot_gradient_boosting_quantile.py	193	# (underestimation for this asymmetric noise) but is also naturally robust to
MEDIUM	examples/cluster/plot_hdbscan.py	106	# HDBSCAN is much more robust in this sense: HDBSCAN can be seen as
MEDIUM	examples/cluster/plot_hdbscan.py	179	# results regarding density. We will however see that HDBSCAN is relatively robust
MEDIUM	examples/cluster/plot_hdbscan.py	193	# more robust with respect to noisy datasets, e.g. high-variance clusters with
MEDIUM	examples/cluster/plot_adjusted_for_chance_measures.py	27	# example, it is possible to use evaluation metrics that leverage this
MEDIUM	examples/cluster/plot_dbscan.py	68	# that leverage this "supervised" ground truth information to quantify the
MEDIUM	examples/linear_model/plot_quantile_regression.py	92	# insights. On top of that, median estimation is much more robust to outliers
MEDIUM	examples/linear_model/plot_ridge_coeffs.py	161	# When `alpha` is small, the model captures the intricate details of the
MEDIUM	examples/linear_model/plot_ridge_coeffs.py	179	# Some other linear models are formulated to be robust to outliers such as the
MEDIUM	…near_model/plot_tweedie_regression_insurance_claims.py	458	# :class:`~sklearn.linear_model.GammaRegressor` is able to leverage some
MEDIUM	examples/linear_model/plot_logistic_multinomial.py	186	# - This approach can capture more nuanced relationships between classes, potentially
MEDIUM	examples/impute/plot_missing_values.py	271	# robust estimator for data with high magnitude variables which could dominate
MEDIUM	examples/covariance/plot_mahalanobis_distances.py	104	# that of the MCD robust estimator (1.2). This shows that the MCD based
MEDIUM	examples/covariance/plot_mahalanobis_distances.py	105	# robust estimator is much more resistant to the outlier samples, which were
MEDIUM	examples/covariance/plot_mahalanobis_distances.py	112	# fit an MCD robust estimator to data
MEDIUM	examples/covariance/plot_mahalanobis_distances.py	124	# Mahalanobis distances calculated by both methods. Notice that the robust
MEDIUM	examples/covariance/plot_mahalanobis_distances.py	179	# distribution of inlier samples for robust MCD based Mahalanobis distances.
MEDIUM	…ples/covariance/plot_robust_vs_empirical_covariance.py	101	# fit a Minimum Covariance Determinant (MCD) robust estimator to data
MEDIUM	…ples/covariance/plot_robust_vs_empirical_covariance.py	103	# compare raw robust estimates with the true location and covariance
MEDIUM	examples/miscellaneous/plot_outlier_detection_bench.py	331	# method to avoid granting a privilege to non-binary features and that is robust
MEDIUM	examples/miscellaneous/plot_outlier_detection_bench.py	406	# IQR is robust to outliers: the median and interquartile range are less
MEDIUM	examples/inspection/plot_partial_dependence.py	316	# without any preprocessing as tree-based models are naturally robust to
MEDIUM	examples/svm/plot_svm_kernels.py	266	# different kernels utilize the training data to determine the classification
MEDIUM	examples/svm/plot_svm_kernels.py	278	# For a comprehensive evaluation, fine-tuning of :class:`~sklearn.svm.SVC`
MEDIUM	examples/applications/plot_outlier_detection_wine.py	34	# robust estimator can help concentrate on a relevant cluster when outlying
MEDIUM	examples/applications/plot_outlier_detection_wine.py	102	# robust estimator of covariance to concentrate on the main mode of the data
MEDIUM	…ples/applications/plot_cyclical_feature_engineering.py	285	# the linear regression model to properly leverage the time information: linear
MEDIUM	…ples/applications/plot_cyclical_feature_engineering.py	494	# leverage the periodic time-related features and reduce the error from ~14% to
MEDIUM	…ples/applications/plot_cyclical_feature_engineering.py	559	# leverage those features to properly model intra-day variations.
MEDIUM	…es/release_highlights/plot_release_highlights_1_3_0.py	50	# making it more robust to parameter selection than :class:`cluster.DBSCAN`.
MEDIUM	…es/release_highlights/plot_release_highlights_1_5_0.py	153	# Similarly to most other PCA solvers, the new `"covariance_eigh"` solver can leverage
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Redundant / Tautological Comments51 hits · 78 pts

Severity	File	Line	Snippet
LOW	sklearn/__init__.py	144	# Check if a random seed exists in the environment, if not create one.
LOW	sklearn/pipeline.py	2101	# Check if Xs dimensions are valid
LOW	sklearn/calibration.py	987	# Check if it is the output of predict_proba
LOW	sklearn/tree/tests/test_tree.py	483	# Check if variable importance before fit raises ValueError.
LOW	sklearn/tree/tests/test_export.py	380	# Check if it errors when length of feature_names
LOW	sklearn/metrics/_classification.py	309	# Check if dimensions are consistent.
LOW	…learn/metrics/_plot/tests/test_common_curve_display.py	436	# Check if the number of parameters match
LOW	sklearn/metrics/tests/test_dist_metrics.py	325	# Check if both callable metric and predefined metric initialized
LOW	sklearn/ensemble/tests/test_gradient_boosting.py	1310	# Check if validation_fraction has an effect
LOW	sklearn/ensemble/tests/test_gradient_boosting.py	1319	# Check if n_estimators_ increase monotonically with n_iter_no_change
LOW	sklearn/ensemble/tests/test_gradient_boosting.py	491	# Check if we can fit even though all targets are equal.
LOW	sklearn/ensemble/tests/test_gradient_boosting.py	505	# Check if quantile loss with alpha=0.5 equals absolute_error.
LOW	sklearn/ensemble/tests/test_gradient_boosting.py	1231	# Check if early stopping works as expected, that is empirically check that the
LOW	sklearn/cluster/tests/test_bisect_k_means.py	57	# Check if results is the same for dense and sparse data
LOW	sklearn/cluster/_hdbscan/hdbscan.py	113	# Check if the mutual reachability matrix has any rows which have
LOW	sklearn/gaussian_process/_gpc.py	488	# Check if we have converged (log marginal likelihood does
LOW	sklearn/gaussian_process/_gpr.py	483	# Check if any of the variances is negative because of
LOW	sklearn/externals/_arff.py	564	# Check if the rows are sorted
LOW	sklearn/linear_model/tests/test_theil_sen.py	164	# Check if median is solution of the Fermat-Weber location problem
LOW	sklearn/utils/estimator_checks.py	4429	# Check if classifier throws an exception when fed regression targets
LOW	sklearn/utils/multiclass.py	421	# Check if multioutput
LOW	sklearn/utils/tests/test_extmath.py	576	# Check if the randomized_svd sign flipping is always done based on u
LOW	sklearn/utils/tests/test_extmath.py	635	# Check if cartesian product delivers the right results
LOW	sklearn/covariance/_robust_covariance.py	174	# Check if best fit already found (det => 0, logdet => -inf)
LOW	sklearn/neural_network/tests/test_rbm.py	134	# Check if we don't get NaNs sampling the full digits dataset.
LOW	sklearn/feature_selection/tests/test_rfe.py	84	# Check if the supports are equal
LOW	sklearn/mixture/tests/test_gaussian_mixture.py	980	# Check if the score increase
LOW	sklearn/preprocessing/tests/test_data.py	1185	# Check if non-finite inputs raise ValueError
LOW	sklearn/preprocessing/tests/test_data.py	745	# Check if StandardScaler inverse_transform is
LOW	sklearn/model_selection/tests/test_split.py	358	# Check if get_n_splits returns the number of folds
LOW	sklearn/model_selection/tests/test_split.py	409	# Check if get_n_splits returns the number of folds
LOW	sklearn/model_selection/tests/test_validation.py	1715	# Check if the additional duplicate indices are caught
LOW	sklearn/model_selection/tests/test_validation.py	617	# Check if ValueError (when groups is None) propagates to cross_val_score
LOW	sklearn/model_selection/tests/test_search.py	1925	# Check if a one time iterable is accepted as a cv parameter.
LOW	sklearn/model_selection/tests/test_search.py	341	# Check if ValueError (when groups is None) propagates to GridSearchCV
LOW	sklearn/model_selection/tests/test_search.py	931	# Check if the search `cv_results`'s array are of correct types
LOW	sklearn/model_selection/tests/test_search.py	1000	# Check if score and timing are reasonable
LOW	sklearn/model_selection/tests/test_search.py	1261	# Check if score and timing are reasonable, also checks if the keys
LOW	sklearn/model_selection/tests/test_search.py	1977	# Check if generators are supported as cv and
LOW	…learn/model_selection/tests/test_successive_halving.py	724	# Check if ValueError (when groups is None) propagates to
LOW	sklearn/decomposition/tests/test_fastica.py	168	# Set atol to account for the different magnitudes of the elements in sources
LOW	sklearn/decomposition/tests/test_incremental_pca.py	452	# Set n_samples_seen_ to be a floating point number instead of an int
LOW	sklearn/neighbors/_lof.py	324	# Verify if negative_outlier_factor_ values are within acceptable range.
LOW	maint_tools/update_tracking_issue.py	170	# Check if test collection failed
LOW	examples/linear_model/plot_ridge_path.py	56	# Display results
LOW	…/linear_model/plot_lasso_lasso_lars_elasticnet_path.py	75	# Display results
LOW	…ples/covariance/plot_robust_vs_empirical_covariance.py	122	# Display results
LOW	…les/model_selection/plot_grid_search_refit_callable.py	329	# Print the results
LOW	benchmarks/bench_isolation_forest.py	48	# Set this to true for plotting score histograms for each dataset:
LOW	benchmarks/bench_sample_without_replacement.py	195	# Print results
LOW	benchmarks/bench_random_projections.py	273	# Print results

Excessive Try-Catch Wrapping46 hits · 53 pts

Severity	File	Line	Snippet
LOW	sklearn/pipeline.py	2212	except Exception:
MEDIUM	sklearn/pipeline.py	389	def _final_estimator(self):
LOW	sklearn/metrics/_scorer.py	173	except Exception as e:
LOW	sklearn/metrics/_classification.py	2401	except Exception as e:
LOW	sklearn/ensemble/_base.py	308	except Exception:
LOW	sklearn/feature_extraction/text.py	419	except Exception:
LOW	sklearn/compose/_column_transformer.py	1283	except Exception:
MEDIUM	sklearn/compose/_column_transformer.py	541	def _get_remainder_cols_dtype(self):
LOW	sklearn/datasets/_kddcup99.py	376	except Exception as e:
LOW	sklearn/datasets/_twenty_newsgroups.py	311	except Exception as e:
LOW	sklearn/datasets/_openml.py	69	except Exception as exc:
LOW	sklearn/datasets/_openml.py	190	except Exception:
LOW	sklearn/datasets/_openml.py	557	except Exception as exc:
LOW	sklearn/externals/_arff.py	758	except Exception:
LOW	sklearn/externals/array_api_compat/common/_helpers.py	1048	except Exception:
LOW	…earn/externals/array_api_extra/_lib/_utils/_helpers.py	448	except Exception: # pylint: disable=broad-exception-caught
LOW	sklearn/tests/test_init.py	11	except Exception as e:
LOW	sklearn/utils/_available_if.py	33	except Exception as e:
LOW	sklearn/utils/estimator_checks.py	4064	except Exception as e:
LOW	sklearn/utils/estimator_checks.py	4073	except Exception as e:
LOW	sklearn/utils/estimator_checks.py	923	except Exception as e:
LOW	sklearn/utils/estimator_checks.py	1518	except Exception as e:
LOW	sklearn/utils/estimator_checks.py	1543	except Exception as e:
LOW	sklearn/utils/estimator_checks.py	4294	except Exception as e:
LOW	sklearn/utils/_metadata_requests.py	1595	except Exception:
LOW	sklearn/utils/_testing.py	540	except Exception as exp:
LOW	sklearn/utils/validation.py	361	except Exception as err:
LOW	sklearn/utils/tests/test_array_api.py	632	except Exception:
LOW	sklearn/utils/_repr_html/estimator.py	239	except Exception:
LOW	sklearn/utils/_repr_html/estimator.py	422	except Exception:
LOW	sklearn/utils/_repr_html/estimator.py	437	except Exception:
LOW	sklearn/callback/_callback_support.py	131	except Exception as exc:
LOW	sklearn/model_selection/_validation.py	858	except Exception:
LOW	sklearn/model_selection/_validation.py	946	except Exception:
LOW	benchmarks/bench_rcv1_logreg_convergence.py	41	except Exception:
LOW	benchmarks/bench_rcv1_logreg_convergence.py	50	except Exception:
LOW	benchmarks/bench_rcv1_logreg_convergence.py	55	except Exception:
LOW	build_tools/circle/list_versions.py	20	except Exception:
MEDIUM	build_tools/circle/list_versions.py	21	print("Error reading", url, file=sys.stderr)
MEDIUM	build_tools/circle/list_versions.py	17	def json_urlread(url):
LOW	doc/conf.py	1017	except Exception as e:
LOW	doc/sphinxext/github_link.py	52	except Exception:
LOW	doc/sphinxext/github_link.py	57	except Exception:
LOW	doc/sphinxext/github_link.py	68	except Exception:
MEDIUM	doc/sphinxext/github_link.py	11	def _get_git_revision():
LOW	doc/sphinxext/override_pst_pagetoc.py	68	except Exception as e:

Cross-Language Confusion14 hits · 45 pts

Severity	File	Line	Snippet
HIGH	sklearn/externals/array_api_extra/_delegation.py	231	If ``x < 0`` or ``x >= num_classes``, then the result is undefined, may raise
HIGH	sklearn/linear_model/_glm/glm.py	395	:math:`D^2 = 1-\\frac{D(y_{true},y_{pred})}{D_{null}}`,
HIGH	sklearn/linear_model/_glm/glm.py	396	:math:`D_{null}` is the null deviance, i.e. the deviance of a model
HIGH	sklearn/callback/tests/test_scoring_monitor.py	182	assert log.equals(expected_log)
HIGH	sklearn/callback/tests/test_scoring_monitor.py	217	assert log.equals(expected_log)
HIGH	sklearn/decomposition/_dict_learning.py	699	(U^, V^) = argmin 0.5 \|\| X - U V \|\|_Fro^2 + alpha * \|\| U \|\|_1,1
HIGH	sklearn/decomposition/_dict_learning.py	701	with \|\| V_k \|\|_2 = 1 for all 0 <= k < n_components
HIGH	sklearn/decomposition/_dict_learning.py	916	(U^, V^) = argmin 0.5 \|\| X - U V \|\|_Fro^2 + alpha * \|\| U \|\|_1,1
HIGH	sklearn/decomposition/_dict_learning.py	918	with \|\| V_k \|\|_2 = 1 for all 0 <= k < n_components
HIGH	sklearn/decomposition/_dict_learning.py	1425	(U^,V^) = argmin 0.5 \|\| X - U V \|\|_Fro^2 + alpha * \|\| U \|\|_1,1
HIGH	sklearn/decomposition/_dict_learning.py	1427	with \|\| V_k \|\|_2 <= 1 for all 0 <= k < n_components
HIGH	sklearn/decomposition/_dict_learning.py	1768	(U^,V^) = argmin 0.5 \|\| X - U V \|\|_Fro^2 + alpha * \|\| U \|\|_1,1
HIGH	sklearn/decomposition/_dict_learning.py	1770	with \|\| V_k \|\|_2 <= 1 for all 0 <= k < n_components
HIGH	sklearn/neighbors/tests/test_neighbors_tree.py	177	heap.push(row, d, i)

Slop Phrases4 hits · 9 pts

Severity	File	Line	Snippet
LOW	sklearn/compose/_column_transformer.py	924	# we use fit_transform to make sure to set sparse_output_ (for which we
LOW	sklearn/model_selection/_split.py	2382	# to make sure to break them anew in each iteration
MEDIUM	examples/miscellaneous/plot_estimator_representation.py	37	# elements. See :ref:`visualizing_composite_estimators` for how you can use
MEDIUM	…s/release_highlights/plot_release_highlights_0_23_0.py	63	# elements. See :ref:`visualizing_composite_estimators` for how you can use

Verbosity Indicators4 hits · 7 pts

Severity	File	Line	Snippet
LOW	sklearn/covariance/_robust_covariance.py	265	The purpose of this function is to find the best sets of n_support
LOW	…emi_supervised/plot_semi_supervised_versus_svm_iris.py	142	# Step 1: similarities between query and all training samples
LOW	…emi_supervised/plot_semi_supervised_versus_svm_iris.py	145	# Step 2: weighted average of label distributions
LOW	…emi_supervised/plot_semi_supervised_versus_svm_iris.py	148	# Step 3: normalize to sum to 1

Dead Code2 hits · 4 pts

Severity	File	Line	Snippet
MEDIUM	sklearn/utils/tests/test_estimator_checks.py	1487
MEDIUM	sklearn/utils/tests/test_estimator_checks.py	1488

Score History

Severity Breakdown

Pattern Findings