repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
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classes |
|---|---|---|---|---|---|---|---|---|
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/linear_model/tests/test_theil_sen.py | sklearn/linear_model/tests/test_theil_sen.py | """
Testing for Theil-Sen module (sklearn.linear_model.theil_sen)
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import os
import re
import sys
from contextlib import contextmanager
import numpy as np
import pytest
from numpy.testing import (
assert_array_almost_equal,
ass... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/linear_model/tests/__init__.py | sklearn/linear_model/tests/__init__.py | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false | |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/linear_model/tests/test_coordinate_descent.py | sklearn/linear_model/tests/test_coordinate_descent.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import warnings
from copy import deepcopy
import joblib
import numpy as np
import pytest
from scipy import interpolate, sparse
from sklearn.base import clone, config_context
from sklearn.datasets import load_diabetes, make_regression
from... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | true |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/linear_model/tests/test_perceptron.py | sklearn/linear_model/tests/test_perceptron.py | import numpy as np
import pytest
from sklearn.datasets import load_iris
from sklearn.linear_model import Perceptron
from sklearn.utils import check_random_state
from sklearn.utils._testing import assert_allclose, assert_array_almost_equal
from sklearn.utils.fixes import CSR_CONTAINERS
iris = load_iris()
random_state ... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/linear_model/tests/test_ransac.py | sklearn/linear_model/tests/test_ransac.py | import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal, assert_array_equal
from sklearn.datasets import make_regression
from sklearn.exceptions import ConvergenceWarning
from sklearn.linear_model import (
LinearRegression,
OrthogonalMatchingPursuit,
RANSACRegressor,
Ridge,... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/linear_model/tests/test_huber.py | sklearn/linear_model/tests/test_huber.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import numpy as np
import pytest
from scipy import optimize
from sklearn.datasets import make_regression
from sklearn.linear_model import HuberRegressor, LinearRegression, Ridge, SGDRegressor
from sklearn.linear_model._huber import _huber_... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/linear_model/tests/test_linear_loss.py | sklearn/linear_model/tests/test_linear_loss.py | """
Tests for LinearModelLoss
Note that correctness of losses (which compose LinearModelLoss) is already well
covered in the _loss module.
"""
import numpy as np
import pytest
from numpy.testing import assert_allclose
from scipy import linalg, optimize
from sklearn._loss.loss import (
HalfBinomialLoss,
HalfM... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/linear_model/tests/test_sag.py | sklearn/linear_model/tests/test_sag.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import math
import re
import numpy as np
import pytest
from sklearn.base import clone
from sklearn.datasets import load_iris, make_blobs, make_classification
from sklearn.linear_model import LogisticRegression, Ridge
from sklearn.linear_m... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/linear_model/tests/test_logistic.py | sklearn/linear_model/tests/test_logistic.py | import itertools
import os
import re
import warnings
import numpy as np
import pytest
from numpy.testing import (
assert_allclose,
assert_array_almost_equal,
assert_array_equal,
)
from scipy import sparse
from scipy.linalg import LinAlgWarning, svd
from sklearn import config_context
from sklearn._loss imp... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | true |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/linear_model/tests/test_bayes.py | sklearn/linear_model/tests/test_bayes.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from math import log
import numpy as np
import pytest
from sklearn import datasets
from sklearn.linear_model import ARDRegression, BayesianRidge, Ridge
from sklearn.utils import check_random_state
from sklearn.utils._testing import (
... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/linear_model/tests/test_ridge.py | sklearn/linear_model/tests/test_ridge.py | import warnings
from itertools import product
import numpy as np
import pytest
from scipy import linalg
from sklearn import config_context, datasets
from sklearn.base import clone
from sklearn.datasets import (
make_classification,
make_low_rank_matrix,
make_multilabel_classification,
make_regression,... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | true |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/linear_model/_glm/glm.py | sklearn/linear_model/_glm/glm.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
"""
Generalized Linear Models with Exponential Dispersion Family
"""
from numbers import Integral, Real
import numpy as np
import scipy.optimize
from sklearn._loss.loss import (
HalfGammaLoss,
HalfPoissonLoss,
HalfSquaredErro... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/linear_model/_glm/_newton_solver.py | sklearn/linear_model/_glm/_newton_solver.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
"""
Newton solver for Generalized Linear Models
"""
import warnings
from abc import ABC, abstractmethod
import numpy as np
import scipy.linalg
import scipy.optimize
from sklearn._loss.loss import HalfSquaredError
from sklearn.exceptions ... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/linear_model/_glm/__init__.py | sklearn/linear_model/_glm/__init__.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from sklearn.linear_model._glm.glm import (
GammaRegressor,
PoissonRegressor,
TweedieRegressor,
_GeneralizedLinearRegressor,
)
__all__ = [
"GammaRegressor",
"PoissonRegressor",
"TweedieRegressor",
"_Generali... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/linear_model/_glm/tests/__init__.py | sklearn/linear_model/_glm/tests/__init__.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
| python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/linear_model/_glm/tests/test_glm.py | sklearn/linear_model/_glm/tests/test_glm.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import itertools
import warnings
from functools import partial
import numpy as np
import pytest
import scipy
from scipy import linalg
from scipy.optimize import minimize, root
from sklearn._loss import HalfBinomialLoss, HalfPoissonLoss, H... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | true |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/compose/_target.py | sklearn/compose/_target.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import warnings
import numpy as np
from sklearn.base import BaseEstimator, RegressorMixin, _fit_context, clone
from sklearn.exceptions import NotFittedError
from sklearn.linear_model import LinearRegression
from sklearn.preprocessing impo... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/compose/_column_transformer.py | sklearn/compose/_column_transformer.py | """
The :mod:`sklearn.compose._column_transformer` module implements utilities
to work with heterogeneous data and to apply different transformers to
different columns.
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import warnings
from collections import Counter
from functools imp... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | true |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/compose/__init__.py | sklearn/compose/__init__.py | """Meta-estimators for building composite models with transformers.
In addition to its current contents, this module will eventually be home to
refurbished versions of :class:`~sklearn.pipeline.Pipeline` and
:class:`~sklearn.pipeline.FeatureUnion`.
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier:... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/compose/tests/test_target.py | sklearn/compose/tests/test_target.py | import warnings
import numpy as np
import pytest
from sklearn import config_context, datasets
from sklearn.base import BaseEstimator, TransformerMixin, clone
from sklearn.compose import TransformedTargetRegressor
from sklearn.dummy import DummyRegressor
from sklearn.linear_model import LinearRegression, OrthogonalMat... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/compose/tests/test_column_transformer.py | sklearn/compose/tests/test_column_transformer.py | """
Test the ColumnTransformer.
"""
import pickle
import re
import warnings
import joblib
import numpy as np
import pytest
from numpy.testing import assert_allclose
from scipy import sparse
from sklearn import config_context
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.compose import (
C... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | true |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/compose/tests/__init__.py | sklearn/compose/tests/__init__.py | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false | |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/inspection/_pd_utils.py | sklearn/inspection/_pd_utils.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
def _check_feature_names(X, feature_names=None):
"""Check feature names.
Parameters
----------
X : array-like of shape (n_samples, n_features)
Input data.
feature_names : None or array-like of shape (n_names,)... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/inspection/_partial_dependence.py | sklearn/inspection/_partial_dependence.py | """Partial dependence plots for regression and classification models."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import warnings
from collections.abc import Iterable
import numpy as np
from scipy import sparse
from scipy.stats.mstats import mquantiles
from sklearn.base import ... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | true |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/inspection/_permutation_importance.py | sklearn/inspection/_permutation_importance.py | """Permutation importance for estimators."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import numbers
import numpy as np
from sklearn.ensemble._bagging import _generate_indices
from sklearn.metrics import check_scoring, get_scorer_names
from sklearn.model_selection._validation i... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/inspection/__init__.py | sklearn/inspection/__init__.py | """Tools for model inspection."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from sklearn.inspection._partial_dependence import partial_dependence
from sklearn.inspection._permutation_importance import permutation_importance
from sklearn.inspection._plot.decision_boundary import De... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/inspection/_plot/decision_boundary.py | sklearn/inspection/_plot/decision_boundary.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import warnings
import numpy as np
from sklearn.base import is_regressor
from sklearn.preprocessing import LabelEncoder
from sklearn.utils import _safe_indexing
from sklearn.utils._dataframe import is_pandas_df, is_polars_df
from sklearn.... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/inspection/_plot/partial_dependence.py | sklearn/inspection/_plot/partial_dependence.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import numbers
from itertools import chain
from math import ceil
import numpy as np
from scipy import sparse
from scipy.stats.mstats import mquantiles
from sklearn.base import is_regressor
from sklearn.inspection import partial_dependence... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | true |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/inspection/_plot/__init__.py | sklearn/inspection/_plot/__init__.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
| python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/inspection/_plot/tests/test_plot_partial_dependence.py | sklearn/inspection/_plot/tests/test_plot_partial_dependence.py | import numpy as np
import pytest
from numpy.testing import assert_allclose
from scipy.stats.mstats import mquantiles
from sklearn.compose import make_column_transformer
from sklearn.datasets import (
load_diabetes,
load_iris,
make_classification,
make_regression,
)
from sklearn.ensemble import Gradient... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | true |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/inspection/_plot/tests/__init__.py | sklearn/inspection/_plot/tests/__init__.py | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false | |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/inspection/_plot/tests/test_boundary_decision_display.py | sklearn/inspection/_plot/tests/test_boundary_decision_display.py | import warnings
import numpy as np
import pytest
from sklearn.base import BaseEstimator, ClassifierMixin
from sklearn.datasets import (
load_diabetes,
load_iris,
make_classification,
make_multilabel_classification,
)
from sklearn.ensemble import IsolationForest
from sklearn.inspection import DecisionB... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/inspection/tests/test_permutation_importance.py | sklearn/inspection/tests/test_permutation_importance.py | import numpy as np
import pytest
from joblib import parallel_backend
from numpy.testing import assert_allclose
from sklearn.compose import ColumnTransformer
from sklearn.datasets import (
load_diabetes,
load_iris,
make_classification,
make_regression,
)
from sklearn.dummy import DummyClassifier
from sk... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/inspection/tests/test_partial_dependence.py | sklearn/inspection/tests/test_partial_dependence.py | """
Testing for the partial dependence module.
"""
import re
import warnings
import numpy as np
import pytest
import sklearn
from sklearn.base import BaseEstimator, ClassifierMixin, clone, is_regressor
from sklearn.cluster import KMeans
from sklearn.compose import make_column_transformer
from sklearn.datasets import... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | true |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/inspection/tests/__init__.py | sklearn/inspection/tests/__init__.py | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false | |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/inspection/tests/test_pd_utils.py | sklearn/inspection/tests/test_pd_utils.py | import numpy as np
import pytest
from sklearn.inspection._pd_utils import _check_feature_names, _get_feature_index
from sklearn.utils._testing import _convert_container
@pytest.mark.parametrize(
"feature_names, array_type, expected_feature_names",
[
(None, "array", ["x0", "x1", "x2"]),
(None,... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/cluster/_dbscan.py | sklearn/cluster/_dbscan.py | """
DBSCAN: Density-Based Spatial Clustering of Applications with Noise
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import warnings
from numbers import Integral, Real
import numpy as np
from scipy import sparse
from sklearn.base import BaseEstimator, ClusterMixin, _fit_context... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/cluster/_mean_shift.py | sklearn/cluster/_mean_shift.py | """Mean shift clustering algorithm.
Mean shift clustering aims to discover *blobs* in a smooth density of
samples. It is a centroid based algorithm, which works by updating candidates
for centroids to be the mean of the points within a given region. These
candidates are then filtered in a post-processing stage to elim... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/cluster/_affinity_propagation.py | sklearn/cluster/_affinity_propagation.py | """Affinity Propagation clustering algorithm."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import warnings
from numbers import Integral, Real
import numpy as np
from sklearn._config import config_context
from sklearn.base import BaseEstimator, ClusterMixin, _fit_context
from skl... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/cluster/_kmeans.py | sklearn/cluster/_kmeans.py | """K-means clustering."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import warnings
from abc import ABC, abstractmethod
from numbers import Integral, Real
import numpy as np
import scipy.sparse as sp
from sklearn.base import (
BaseEstimator,
ClassNamePrefixFeaturesOutMix... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | true |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/cluster/_bicluster.py | sklearn/cluster/_bicluster.py | """Spectral biclustering algorithms."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from abc import ABCMeta, abstractmethod
from numbers import Integral
import numpy as np
from scipy.linalg import norm
from scipy.sparse import dia_matrix, issparse
from scipy.sparse.linalg import ei... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/cluster/_bisect_k_means.py | sklearn/cluster/_bisect_k_means.py | """Bisecting K-means clustering."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import warnings
import numpy as np
import scipy.sparse as sp
from sklearn.base import _fit_context
from sklearn.cluster._k_means_common import _inertia_dense, _inertia_sparse
from sklearn.cluster._kmea... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/cluster/_feature_agglomeration.py | sklearn/cluster/_feature_agglomeration.py | """
Feature agglomeration. Base classes and functions for performing feature
agglomeration.
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import numpy as np
from scipy.sparse import issparse
from sklearn.base import TransformerMixin
from sklearn.utils.validation import check_is_f... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/cluster/_birch.py | sklearn/cluster/_birch.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import warnings
from math import sqrt
from numbers import Integral, Real
import numpy as np
from scipy import sparse
from sklearn._config import config_context
from sklearn.base import (
BaseEstimator,
ClassNamePrefixFeaturesOutMi... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/cluster/_optics.py | sklearn/cluster/_optics.py | """Ordering Points To Identify the Clustering Structure (OPTICS)
These routines execute the OPTICS algorithm, and implement various
cluster extraction methods of the ordered list.
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import warnings
from numbers import Integral, Real
im... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | true |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/cluster/__init__.py | sklearn/cluster/__init__.py | """Popular unsupervised clustering algorithms."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from sklearn.cluster._affinity_propagation import (
AffinityPropagation,
affinity_propagation,
)
from sklearn.cluster._agglomerative import (
AgglomerativeClustering,
Featur... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/cluster/_agglomerative.py | sklearn/cluster/_agglomerative.py | """Hierarchical Agglomerative Clustering
These routines perform some hierarchical agglomerative clustering of some
input data.
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import warnings
from heapq import heapify, heappop, heappush, heappushpop
from numbers import Integral, Rea... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | true |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/cluster/_spectral.py | sklearn/cluster/_spectral.py | """Algorithms for spectral clustering"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import warnings
from numbers import Integral, Real
import numpy as np
from scipy.linalg import LinAlgError, qr, svd
from scipy.sparse import csc_matrix
from sklearn.base import BaseEstimator, Clus... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/cluster/_hdbscan/hdbscan.py | sklearn/cluster/_hdbscan/hdbscan.py | """
HDBSCAN: Hierarchical Density-Based Spatial Clustering
of Applications with Noise
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions ar... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | true |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/cluster/_hdbscan/__init__.py | sklearn/cluster/_hdbscan/__init__.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
| python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/cluster/_hdbscan/tests/__init__.py | sklearn/cluster/_hdbscan/tests/__init__.py | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false | |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/cluster/_hdbscan/tests/test_reachibility.py | sklearn/cluster/_hdbscan/tests/test_reachibility.py | import numpy as np
import pytest
from sklearn.cluster._hdbscan._reachability import mutual_reachability_graph
from sklearn.utils._testing import (
_convert_container,
assert_allclose,
)
def test_mutual_reachability_graph_error_sparse_format():
"""Check that we raise an error if the sparse format is not C... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/cluster/tests/test_bicluster.py | sklearn/cluster/tests/test_bicluster.py | """Testing for Spectral Biclustering methods"""
import numpy as np
import pytest
from scipy.sparse import issparse
from sklearn.base import BaseEstimator, BiclusterMixin, clone
from sklearn.cluster import SpectralBiclustering, SpectralCoclustering
from sklearn.cluster._bicluster import (
_bistochastic_normalize,
... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/cluster/tests/test_hierarchical.py | sklearn/cluster/tests/test_hierarchical.py | """
Several basic tests for hierarchical clustering procedures
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import itertools
import shutil
from functools import partial
from tempfile import mkdtemp
import numpy as np
import pytest
from scipy.cluster import hierarchy
from scipy.... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/cluster/tests/test_affinity_propagation.py | sklearn/cluster/tests/test_affinity_propagation.py | """
Testing for Clustering methods
"""
import warnings
import numpy as np
import pytest
from sklearn.cluster import AffinityPropagation, affinity_propagation
from sklearn.cluster._affinity_propagation import _equal_similarities_and_preferences
from sklearn.datasets import make_blobs
from sklearn.exceptions import C... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/cluster/tests/test_dbscan.py | sklearn/cluster/tests/test_dbscan.py | """
Tests for DBSCAN clustering algorithm
"""
import pickle
import warnings
import numpy as np
import pytest
from scipy.spatial import distance
from sklearn.cluster import DBSCAN, dbscan
from sklearn.cluster.tests.common import generate_clustered_data
from sklearn.metrics.pairwise import pairwise_distances
from skle... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/cluster/tests/common.py | sklearn/cluster/tests/common.py | """
Common utilities for testing clustering.
"""
import numpy as np
###############################################################################
# Generate sample data
def generate_clustered_data(
seed=0, n_clusters=3, n_features=2, n_samples_per_cluster=20, std=0.4
):
prng = np.random.RandomState(seed)... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/cluster/tests/test_hdbscan.py | sklearn/cluster/tests/test_hdbscan.py | """
Tests for HDBSCAN clustering algorithm
Based on the DBSCAN test code
"""
import numpy as np
import pytest
from scipy import stats
from scipy.spatial import distance
from sklearn.cluster import HDBSCAN
from sklearn.cluster._hdbscan._tree import (
CONDENSED_dtype,
_condense_tree,
_do_labelling,
)
from s... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/cluster/tests/test_mean_shift.py | sklearn/cluster/tests/test_mean_shift.py | """
Testing for mean shift clustering methods
"""
import warnings
import numpy as np
import pytest
from sklearn.cluster import MeanShift, estimate_bandwidth, get_bin_seeds, mean_shift
from sklearn.datasets import make_blobs
from sklearn.metrics import v_measure_score
from sklearn.utils._testing import assert_allclo... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/cluster/tests/test_spectral.py | sklearn/cluster/tests/test_spectral.py | """Testing for Spectral Clustering methods"""
import pickle
import re
import numpy as np
import pytest
from scipy.linalg import LinAlgError
from sklearn.cluster import SpectralClustering, spectral_clustering
from sklearn.cluster._spectral import cluster_qr, discretize
from sklearn.datasets import make_blobs
from skl... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/cluster/tests/test_birch.py | sklearn/cluster/tests/test_birch.py | """
Tests for the birch clustering algorithm.
"""
import numpy as np
import pytest
from sklearn.cluster import AgglomerativeClustering, Birch
from sklearn.cluster.tests.common import generate_clustered_data
from sklearn.datasets import make_blobs
from sklearn.exceptions import ConvergenceWarning
from sklearn.metrics ... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/cluster/tests/test_k_means.py | sklearn/cluster/tests/test_k_means.py | """Testing for K-means"""
import re
import sys
from io import StringIO
import numpy as np
import pytest
from scipy import sparse as sp
from threadpoolctl import threadpool_info
from sklearn.base import clone
from sklearn.cluster import KMeans, MiniBatchKMeans, k_means, kmeans_plusplus
from sklearn.cluster._k_means_c... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | true |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/cluster/tests/test_feature_agglomeration.py | sklearn/cluster/tests/test_feature_agglomeration.py | """
Tests for sklearn.cluster._feature_agglomeration
"""
import numpy as np
from numpy.testing import assert_array_equal
from sklearn.cluster import FeatureAgglomeration
from sklearn.datasets import make_blobs
from sklearn.utils._testing import assert_array_almost_equal
def test_feature_agglomeration():
n_clust... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/cluster/tests/__init__.py | sklearn/cluster/tests/__init__.py | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false | |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/cluster/tests/test_optics.py | sklearn/cluster/tests/test_optics.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import warnings
import numpy as np
import pytest
from sklearn.cluster import DBSCAN, OPTICS
from sklearn.cluster._optics import _extend_region, _extract_xi_labels
from sklearn.cluster.tests.common import generate_clustered_data
from sklea... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/cluster/tests/test_bisect_k_means.py | sklearn/cluster/tests/test_bisect_k_means.py | import numpy as np
import pytest
from sklearn.cluster import BisectingKMeans
from sklearn.metrics import v_measure_score
from sklearn.utils._testing import assert_allclose, assert_array_equal
from sklearn.utils.fixes import CSR_CONTAINERS
@pytest.mark.parametrize("bisecting_strategy", ["biggest_inertia", "largest_cl... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/decomposition/_base.py | sklearn/decomposition/_base.py | """Principal Component Analysis Base Classes"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from abc import ABCMeta, abstractmethod
import numpy as np
from scipy import linalg
from sklearn.base import (
BaseEstimator,
ClassNamePrefixFeaturesOutMixin,
TransformerMixin,
... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/decomposition/_kernel_pca.py | sklearn/decomposition/_kernel_pca.py | """Kernel Principal Components Analysis."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from numbers import Integral, Real
import numpy as np
from scipy import linalg
from scipy.linalg import eigh
from scipy.sparse.linalg import eigsh
from sklearn.base import (
BaseEstimator,
... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/decomposition/_sparse_pca.py | sklearn/decomposition/_sparse_pca.py | """Matrix factorization with Sparse PCA."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from numbers import Integral, Real
import numpy as np
from sklearn.base import (
BaseEstimator,
ClassNamePrefixFeaturesOutMixin,
TransformerMixin,
_fit_context,
)
from sklearn.d... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/decomposition/_incremental_pca.py | sklearn/decomposition/_incremental_pca.py | """Incremental Principal Components Analysis."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from numbers import Integral
import numpy as np
from scipy import linalg, sparse
from sklearn.base import _fit_context
from sklearn.decomposition._base import _BasePCA
from sklearn.utils i... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/decomposition/_lda.py | sklearn/decomposition/_lda.py | """
=============================================================
Online Latent Dirichlet Allocation with variational inference
=============================================================
This implementation is modified from Matthew D. Hoffman's onlineldavb code
Link: https://github.com/blei-lab/onlineldavb
"""
# ... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | true |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/decomposition/_fastica.py | sklearn/decomposition/_fastica.py | """
Python implementation of the fast ICA algorithms.
Reference: Tables 8.3 and 8.4 page 196 in the book:
Independent Component Analysis, by Hyvarinen et al.
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import warnings
from numbers import Integral, Real
import numpy as np
from... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/decomposition/__init__.py | sklearn/decomposition/__init__.py | """Matrix decomposition algorithms.
These include PCA, NMF, ICA, and more. Most of the algorithms of this module can be
regarded as dimensionality reduction techniques.
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from sklearn.decomposition._dict_learning import (
Dictionary... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/decomposition/_pca.py | sklearn/decomposition/_pca.py | """Principal Component Analysis."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from math import lgamma, log, sqrt
from numbers import Integral, Real
import numpy as np
from scipy import linalg
from scipy.sparse import issparse
from scipy.sparse.linalg import svds
from sklearn.bas... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | true |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/decomposition/_factor_analysis.py | sklearn/decomposition/_factor_analysis.py | """Factor Analysis.
A latent linear variable model.
FactorAnalysis is similar to probabilistic PCA implemented by PCA.score
While PCA assumes Gaussian noise with the same variance for each
feature, the FactorAnalysis model assumes different variances for
each of them.
This implementation is based on David Barber's B... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/decomposition/_truncated_svd.py | sklearn/decomposition/_truncated_svd.py | """Truncated SVD for sparse matrices, aka latent semantic analysis (LSA)."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from numbers import Integral, Real
import numpy as np
import scipy.sparse as sp
from scipy.sparse.linalg import svds
from sklearn.base import (
BaseEstimato... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/decomposition/_nmf.py | sklearn/decomposition/_nmf.py | """Non-negative matrix factorization."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import itertools
import time
import warnings
from abc import ABC
from math import sqrt
from numbers import Integral, Real
import numpy as np
import scipy.sparse as sp
from scipy import linalg
from... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | true |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/decomposition/_dict_learning.py | sklearn/decomposition/_dict_learning.py | """Dictionary learning."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import itertools
import sys
import time
from numbers import Integral, Real
import numpy as np
from joblib import effective_n_jobs
from scipy import linalg
from sklearn.base import (
BaseEstimator,
Class... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | true |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/decomposition/tests/test_sparse_pca.py | sklearn/decomposition/tests/test_sparse_pca.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import numpy as np
import pytest
from numpy.testing import assert_array_equal
from sklearn.datasets import make_low_rank_matrix
from sklearn.decomposition import PCA, MiniBatchSparsePCA, SparsePCA
from sklearn.utils import check_random_st... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/decomposition/tests/test_truncated_svd.py | sklearn/decomposition/tests/test_truncated_svd.py | """Test truncated SVD transformer."""
import numpy as np
import pytest
import scipy.sparse as sp
from sklearn.decomposition import PCA, TruncatedSVD
from sklearn.utils import check_random_state
from sklearn.utils._testing import assert_allclose, assert_array_less
SVD_SOLVERS = ["arpack", "randomized"]
@pytest.fixt... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/decomposition/tests/test_kernel_pca.py | sklearn/decomposition/tests/test_kernel_pca.py | import warnings
import numpy as np
import pytest
import sklearn
from sklearn.datasets import load_iris, make_blobs, make_circles
from sklearn.decomposition import PCA, KernelPCA
from sklearn.exceptions import NotFittedError
from sklearn.linear_model import Perceptron
from sklearn.metrics.pairwise import rbf_kernel
fr... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/decomposition/tests/test_factor_analysis.py | sklearn/decomposition/tests/test_factor_analysis.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from itertools import combinations
import numpy as np
import pytest
from sklearn.decomposition import FactorAnalysis
from sklearn.decomposition._factor_analysis import _ortho_rotation
from sklearn.exceptions import ConvergenceWarning
from... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/decomposition/tests/test_pca.py | sklearn/decomposition/tests/test_pca.py | import os
import re
import warnings
import numpy as np
import pytest
import scipy as sp
from numpy.testing import assert_array_equal
from sklearn import config_context, datasets
from sklearn.base import clone
from sklearn.datasets import load_iris, make_classification, make_low_rank_matrix
from sklearn.decomposition ... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | true |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/decomposition/tests/test_incremental_pca.py | sklearn/decomposition/tests/test_incremental_pca.py | """Tests for Incremental PCA."""
import itertools
import warnings
import numpy as np
import pytest
from numpy.testing import assert_allclose, assert_array_equal
from sklearn import datasets
from sklearn.decomposition import PCA, IncrementalPCA
from sklearn.utils._testing import (
assert_allclose_dense_sparse,
... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/decomposition/tests/test_fastica.py | sklearn/decomposition/tests/test_fastica.py | """
Test the fastica algorithm.
"""
import itertools
import os
import warnings
import numpy as np
import pytest
from scipy import stats
from sklearn.decomposition import PCA, FastICA, fastica
from sklearn.decomposition._fastica import _gs_decorrelation
from sklearn.exceptions import ConvergenceWarning
from sklearn.u... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/decomposition/tests/__init__.py | sklearn/decomposition/tests/__init__.py | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false | |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/decomposition/tests/test_nmf.py | sklearn/decomposition/tests/test_nmf.py | import re
import sys
from io import StringIO
import numpy as np
import pytest
from scipy import linalg
from sklearn.base import clone
from sklearn.decomposition import NMF, MiniBatchNMF, non_negative_factorization
from sklearn.decomposition import _nmf as nmf # For testing internals
from sklearn.exceptions import Co... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/decomposition/tests/test_online_lda.py | sklearn/decomposition/tests/test_online_lda.py | import sys
from io import StringIO
import numpy as np
import pytest
from numpy.testing import assert_array_equal
from scipy.linalg import block_diag
from scipy.special import psi
from sklearn.decomposition import LatentDirichletAllocation
from sklearn.decomposition._online_lda_fast import (
_dirichlet_expectation... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/decomposition/tests/test_dict_learning.py | sklearn/decomposition/tests/test_dict_learning.py | import itertools
import warnings
from functools import partial
import numpy as np
import pytest
import sklearn
from sklearn.base import clone
from sklearn.decomposition import (
DictionaryLearning,
MiniBatchDictionaryLearning,
SparseCoder,
dict_learning,
dict_learning_online,
sparse_encode,
)
... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/experimental/enable_halving_search_cv.py | sklearn/experimental/enable_halving_search_cv.py | """Enables Successive Halving search-estimators
The API and results of these estimators might change without any deprecation
cycle.
Importing this file dynamically sets the
:class:`~sklearn.model_selection.HalvingRandomSearchCV` and
:class:`~sklearn.model_selection.HalvingGridSearchCV` as attributes of the
`model_sel... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/experimental/enable_iterative_imputer.py | sklearn/experimental/enable_iterative_imputer.py | """Enables IterativeImputer
The API and results of this estimator might change without any deprecation
cycle.
Importing this file dynamically sets :class:`~sklearn.impute.IterativeImputer`
as an attribute of the impute module::
>>> # explicitly require this experimental feature
>>> from sklearn.experimental ... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/experimental/enable_hist_gradient_boosting.py | sklearn/experimental/enable_hist_gradient_boosting.py | """This is now a no-op and can be safely removed from your code.
It used to enable the use of
:class:`~sklearn.ensemble.HistGradientBoostingClassifier` and
:class:`~sklearn.ensemble.HistGradientBoostingRegressor` when they were still
:term:`experimental`, but these estimators are now stable and can be imported
normall... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/experimental/__init__.py | sklearn/experimental/__init__.py | """Importable modules that enable the use of experimental features or estimators.
.. warning::
The features and estimators that are experimental aren't subject to
deprecation cycles. Use them at your own risks!
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
| python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/experimental/tests/test_enable_successive_halving.py | sklearn/experimental/tests/test_enable_successive_halving.py | """Tests for making sure experimental imports work as expected."""
import textwrap
import pytest
from sklearn.utils._testing import assert_run_python_script_without_output
from sklearn.utils.fixes import _IS_WASM
@pytest.mark.xfail(_IS_WASM, reason="cannot start subprocess")
def test_imports_strategies():
# Ma... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/experimental/tests/test_enable_hist_gradient_boosting.py | sklearn/experimental/tests/test_enable_hist_gradient_boosting.py | """Tests for making sure experimental imports work as expected."""
import textwrap
import pytest
from sklearn.utils._testing import assert_run_python_script_without_output
from sklearn.utils.fixes import _IS_WASM
@pytest.mark.xfail(_IS_WASM, reason="cannot start subprocess")
def test_import_raises_warning():
c... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/experimental/tests/test_enable_iterative_imputer.py | sklearn/experimental/tests/test_enable_iterative_imputer.py | """Tests for making sure experimental imports work as expected."""
import textwrap
import pytest
from sklearn.utils._testing import assert_run_python_script_without_output
from sklearn.utils.fixes import _IS_WASM
@pytest.mark.xfail(_IS_WASM, reason="cannot start subprocess")
def test_imports_strategies():
# Ma... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/experimental/tests/__init__.py | sklearn/experimental/tests/__init__.py | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false | |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/manifold/_mds.py | sklearn/manifold/_mds.py | """
Multi-dimensional Scaling (MDS).
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import warnings
from numbers import Integral, Real
import numpy as np
from joblib import effective_n_jobs
from sklearn.base import BaseEstimator, _fit_context
from sklearn.isotonic import Isotonic... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/manifold/_classical_mds.py | sklearn/manifold/_classical_mds.py | """
Classical multi-dimensional scaling (classical MDS).
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from numbers import Integral
import numpy as np
from scipy import linalg
from sklearn.base import BaseEstimator, _fit_context
from sklearn.metrics import pairwise_distances
fro... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/manifold/_isomap.py | sklearn/manifold/_isomap.py | """Isomap for manifold learning"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import warnings
from numbers import Integral, Real
import numpy as np
from scipy.sparse import issparse
from scipy.sparse.csgraph import connected_components, shortest_path
from sklearn.base import (
... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | false |
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