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classes |
|---|---|---|---|---|---|---|---|---|
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/utils/_testing.py | sklearn/utils/_testing.py | """Testing utilities."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import atexit
import contextlib
import functools
import importlib
import inspect
import os
import os.path as op
import re
import shutil
import sys
import tempfile
import textwrap
import unittest
import warnings
fro... | 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/utils/_indexing.py | sklearn/utils/_indexing.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import numbers
import sys
import warnings
from collections import UserList
from itertools import compress, islice
import numpy as np
from scipy.sparse import issparse
from sklearn.utils._array_api import (
_is_numpy_namespace,
get... | 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/utils/_available_if.py | sklearn/utils/_available_if.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from functools import update_wrapper, wraps
from types import MethodType
class _AvailableIfDescriptor:
"""Implements a conditional property using the descriptor protocol.
Using this class to create a decorator will raise an ``Att... | 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/utils/fixes.py | sklearn/utils/fixes.py | """Compatibility fixes for older version of python, numpy and scipy
If you add content to this file, please give the version of the package
at which the fix is no longer needed.
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import platform
import struct
import numpy as np
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/utils/validation.py | sklearn/utils/validation.py | """Functions to validate input and parameters within scikit-learn estimators."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import numbers
import operator
import warnings
from collections.abc import Sequence
from contextlib import suppress
from functools import reduce, wraps
from i... | 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/utils/_mocking.py | sklearn/utils/_mocking.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import numpy as np
from sklearn.base import BaseEstimator, ClassifierMixin
from sklearn.utils._metadata_requests import RequestMethod
from sklearn.utils.metaestimators import available_if
from sklearn.utils.validation import (
_check_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/utils/_dataframe.py | sklearn/utils/_dataframe.py | """Functions to determine if an object is a dataframe or series."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import sys
def is_df_or_series(X):
"""Return True if the X is a dataframe or series.
Parameters
----------
X : {array-like, dataframe}
The array... | 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/utils/random.py | sklearn/utils/random.py | """Utilities for random sampling."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import array
import numpy as np
import scipy.sparse as sp
from sklearn.utils import check_random_state
from sklearn.utils._random import sample_without_replacement
__all__ = ["sample_without_replacem... | 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/utils/_pprint.py | sklearn/utils/_pprint.py | """This module contains the _EstimatorPrettyPrinter class used in
BaseEstimator.__repr__ for pretty-printing estimators"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
# Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010,
# 2011, 2012, 2013, 2014, 2015, 2016, 20... | 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/utils/__init__.py | sklearn/utils/__init__.py | """Various utilities to help with development."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from sklearn.exceptions import DataConversionWarning
from sklearn.utils import metadata_routing
from sklearn.utils._bunch import Bunch
from sklearn.utils._chunking import gen_batches, gen_e... | 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/utils/_plotting.py | sklearn/utils/_plotting.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import warnings
from collections.abc import Mapping
import numpy as np
from sklearn.utils import check_consistent_length
from sklearn.utils._optional_dependencies import check_matplotlib_support
from sklearn.utils._response import _get_res... | 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/utils/_user_interface.py | sklearn/utils/_user_interface.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import timeit
from contextlib import contextmanager
def _message_with_time(source, message, time):
"""Create one line message for logging purposes.
Parameters
----------
source : str
String indicating the source o... | 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/utils/_optional_dependencies.py | sklearn/utils/_optional_dependencies.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
def check_matplotlib_support(caller_name):
"""Raise ImportError with detailed error message if mpl is not installed.
Plot utilities like any of the Display's plotting functions should lazily import
matplotlib and call this hel... | 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/utils/_unique.py | sklearn/utils/_unique.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import numpy as np
from sklearn.utils._array_api import get_namespace
def _attach_unique(y):
"""Attach unique values of y to y and return the result.
The result is a view of y, and the metadata (unique) is not attached to y.
... | 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/utils/stats.py | sklearn/utils/stats.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from sklearn.utils._array_api import (
_find_matching_floating_dtype,
get_namespace_and_device,
)
def _weighted_percentile(
array, sample_weight, percentile_rank=50, average=False, xp=None
):
"""Compute the weighted percen... | 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/utils/parallel.py | sklearn/utils/parallel.py | """Customizations of :mod:`joblib` and :mod:`threadpoolctl` tools for scikit-learn
usage.
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import functools
import warnings
from functools import update_wrapper
import joblib
from threadpoolctl import ThreadpoolController
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/utils/_chunking.py | sklearn/utils/_chunking.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import warnings
from itertools import islice
from numbers import Integral
import numpy as np
from sklearn._config import get_config
from sklearn.utils._param_validation import Interval, validate_params
def chunk_generator(gen, chunksize... | 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/utils/class_weight.py | sklearn/utils/class_weight.py | """Utilities for handling weights based on class labels."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import numpy as np
from scipy import sparse
from sklearn.utils._param_validation import StrOptions, validate_params
from sklearn.utils.validation import _check_sample_weight
@v... | 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/utils/_test_common/__init__.py | sklearn/utils/_test_common/__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/utils/_test_common/instance_generator.py | sklearn/utils/_test_common/instance_generator.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import re
import sys
import warnings
from contextlib import suppress
from functools import partial
from inspect import isfunction
import numpy as np
from sklearn import clone, config_context
from sklearn.calibration import CalibratedClas... | 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/utils/tests/test_metaestimators.py | sklearn/utils/tests/test_metaestimators.py | import pickle
import pytest
from sklearn.utils.metaestimators import available_if
class AvailableParameterEstimator:
"""This estimator's `available` parameter toggles the presence of a method"""
def __init__(self, available=True, return_value=1):
self.available = available
self.return_value... | 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/utils/tests/test_arrayfuncs.py | sklearn/utils/tests/test_arrayfuncs.py | import numpy as np
import pytest
from sklearn.utils._testing import assert_allclose
from sklearn.utils.arrayfuncs import _all_with_any_reduction_axis_1, min_pos
def test_min_pos():
# Check that min_pos returns a positive value and that it's consistent
# between float and double
X = np.random.RandomState(... | 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/utils/tests/test_unique.py | sklearn/utils/tests/test_unique.py | import numpy as np
from numpy.testing import assert_array_equal
from sklearn.utils._unique import attach_unique, cached_unique
from sklearn.utils.validation import check_array
def test_attach_unique_attaches_unique_to_array():
arr = np.array([1, 2, 2, 3, 4, 4, 5])
arr_ = attach_unique(arr)
assert_array_e... | 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/utils/tests/test_param_validation.py | sklearn/utils/tests/test_param_validation.py | from numbers import Integral, Real
import numpy as np
import pytest
from scipy.sparse import csr_matrix
from sklearn._config import config_context, get_config
from sklearn.base import BaseEstimator, _fit_context
from sklearn.model_selection import LeaveOneOut
from sklearn.utils import deprecated
from sklearn.utils._p... | 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/utils/tests/test_multiclass.py | sklearn/utils/tests/test_multiclass.py | import warnings
from itertools import product
import numpy as np
import pytest
from scipy.sparse import issparse
from sklearn import config_context, datasets
from sklearn.model_selection import ShuffleSplit
from sklearn.svm import SVC
from sklearn.utils._array_api import (
_get_namespace_device_dtype_ids,
yie... | 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/utils/tests/test_chunking.py | sklearn/utils/tests/test_chunking.py | import warnings
from itertools import chain
import pytest
from sklearn import config_context
from sklearn.utils._chunking import gen_even_slices, get_chunk_n_rows
from sklearn.utils._testing import assert_array_equal
def test_gen_even_slices():
# check that gen_even_slices contains all samples
some_range = ... | 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/utils/tests/test_deprecation.py | sklearn/utils/tests/test_deprecation.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import pickle
from inspect import signature
import pytest
from sklearn.utils.deprecation import _is_deprecated, deprecated
@deprecated("qwerty")
class MockClass1:
pass
class MockClass2:
@deprecated("mockclass2_method")
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/utils/tests/test_stats.py | sklearn/utils/tests/test_stats.py | import numpy as np
import pytest
from numpy.testing import assert_allclose, assert_array_equal
from pytest import approx
from sklearn._config import config_context
from sklearn.utils._array_api import (
_convert_to_numpy,
get_namespace,
yield_namespace_device_dtype_combinations,
)
from sklearn.utils._array... | 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/utils/tests/test_indexing.py | sklearn/utils/tests/test_indexing.py | import warnings
from copy import copy
from unittest import SkipTest
import numpy as np
import pytest
from scipy.stats import kstest
import sklearn
from sklearn.externals._packaging.version import parse as parse_version
from sklearn.utils import _safe_indexing, resample, shuffle
from sklearn.utils._array_api 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/utils/tests/test_tags.py | sklearn/utils/tests/test_tags.py | from dataclasses import dataclass, fields
import numpy as np
import pytest
from sklearn.base import (
BaseEstimator,
ClassifierMixin,
RegressorMixin,
TransformerMixin,
)
from sklearn.pipeline import Pipeline
from sklearn.utils import (
Tags,
get_tags,
)
from sklearn.utils.estimator_checks 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/utils/tests/test_random.py | sklearn/utils/tests/test_random.py | import numpy as np
import pytest
import scipy.sparse as sp
from numpy.testing import assert_array_almost_equal
from scipy.special import comb
from sklearn.utils._random import _our_rand_r_py
from sklearn.utils.random import _random_choice_csc, sample_without_replacement
##############################################... | 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/utils/tests/test_murmurhash.py | sklearn/utils/tests/test_murmurhash.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import numpy as np
from numpy.testing import assert_array_almost_equal, assert_array_equal
from sklearn.utils.murmurhash import murmurhash3_32
def test_mmhash3_int():
assert murmurhash3_32(3) == 847579505
assert murmurhash3_32(3,... | 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/utils/tests/test_pprint.py | sklearn/utils/tests/test_pprint.py | import re
from pprint import PrettyPrinter
import numpy as np
import pytest
from sklearn import config_context
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.feature_selection import SelectKBest, chi2
from sklearn.linear_model import LogisticRegressionCV
from sklearn.pipeline import make_pipeli... | 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/utils/tests/test_estimator_checks.py | sklearn/utils/tests/test_estimator_checks.py | # We can not use pytest here, because we run
# build_tools/azure/test_pytest_soft_dependency.sh on these
# tests to make sure estimator_checks works without pytest.
import importlib
import re
import sys
import unittest
import warnings
from inspect import isgenerator
from numbers import Integral, Real
import joblib
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/utils/tests/test_array_api.py | sklearn/utils/tests/test_array_api.py | import os
from functools import partial
import numpy
import pytest
import scipy
import scipy.sparse as sp
from numpy.testing import assert_allclose
from sklearn._config import config_context
from sklearn._loss import HalfMultinomialLoss
from sklearn.base import BaseEstimator
from sklearn.utils._array_api 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/utils/tests/test_missing.py | sklearn/utils/tests/test_missing.py | import numpy as np
import pytest
from sklearn.utils._missing import is_scalar_nan
@pytest.mark.parametrize(
"value, result",
[
(float("nan"), True),
(np.nan, True),
(float(np.nan), True),
(np.float32(np.nan), True),
(np.float64(np.nan), True),
(0, False),
... | 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/utils/tests/test_parallel.py | sklearn/utils/tests/test_parallel.py | import itertools
import re
import time
import warnings
import joblib
import numpy as np
import pytest
from numpy.testing import assert_array_equal
from sklearn import config_context, get_config
from sklearn.compose import make_column_transformer
from sklearn.datasets import load_iris
from sklearn.ensemble import Rand... | 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/utils/tests/test_mocking.py | sklearn/utils/tests/test_mocking.py | import numpy as np
import pytest
from numpy.testing import assert_array_equal
from scipy import sparse
from sklearn.datasets import load_iris
from sklearn.utils import _safe_indexing, check_array
from sklearn.utils._mocking import (
CheckingClassifier,
_MockEstimatorOnOffPrediction,
)
from sklearn.utils._testi... | 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/utils/tests/test_fast_dict.py | sklearn/utils/tests/test_fast_dict.py | """Test fast_dict."""
import numpy as np
from numpy.testing import assert_allclose, assert_array_equal
from sklearn.utils._fast_dict import IntFloatDict, argmin
def test_int_float_dict():
rng = np.random.RandomState(0)
keys = np.unique(rng.randint(100, size=10).astype(np.intp))
values = rng.rand(len(key... | 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/utils/tests/test_seq_dataset.py | sklearn/utils/tests/test_seq_dataset.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from functools import partial
from itertools import product
import numpy as np
import pytest
from numpy.testing import assert_array_equal
from sklearn.datasets import load_iris
from sklearn.utils._seq_dataset import (
ArrayDataset32,
... | 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/utils/tests/test_testing.py | sklearn/utils/tests/test_testing.py | import atexit
import os
import warnings
import numpy as np
import pytest
from scipy import sparse
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
from sklearn.tree import DecisionTreeClassifier
from sklearn.utils._testing import (
TempMemmap,
_convert_container,
_delete_folder,
_g... | 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/utils/tests/test_extmath.py | sklearn/utils/tests/test_extmath.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import itertools
import numpy as np
import pytest
from scipy import linalg, sparse
from scipy.linalg import eigh
from scipy.sparse.linalg import eigsh
from sklearn import config_context
from sklearn.datasets import make_low_rank_matrix, m... | 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/utils/tests/test_shortest_path.py | sklearn/utils/tests/test_shortest_path.py | from collections import defaultdict
import numpy as np
from numpy.testing import assert_array_almost_equal
from sklearn.utils.graph import single_source_shortest_path_length
def floyd_warshall_slow(graph, directed=False):
N = graph.shape[0]
# set nonzero entries to infinity
graph[np.where(graph == 0)] ... | 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/utils/tests/test_cython_blas.py | sklearn/utils/tests/test_cython_blas.py | import numpy as np
import pytest
from sklearn.utils._cython_blas import (
BLAS_Order,
BLAS_Trans,
_asum_memview,
_axpy_memview,
_copy_memview,
_dot_memview,
_gemm_memview,
_gemv_memview,
_ger_memview,
_nrm2_memview,
_rot_memview,
_rotg_memview,
_scal_memview,
)
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/utils/tests/test_fixes.py | sklearn/utils/tests/test_fixes.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import numpy as np
import pytest
from sklearn.utils._testing import assert_array_equal
from sklearn.utils.fixes import _object_dtype_isnan, _smallest_admissible_index_dtype
@pytest.mark.parametrize("dtype, val", ([object, 1], [object, "a... | 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/utils/tests/test_graph.py | sklearn/utils/tests/test_graph.py | import numpy as np
import pytest
from scipy.sparse.csgraph import connected_components
from sklearn.metrics.pairwise import pairwise_distances
from sklearn.neighbors import kneighbors_graph
from sklearn.utils.graph import _fix_connected_components
def test_fix_connected_components():
# Test that _fix_connected_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/utils/tests/test_arpack.py | sklearn/utils/tests/test_arpack.py | import pytest
from numpy.testing import assert_allclose
from sklearn.utils import check_random_state
from sklearn.utils._arpack import _init_arpack_v0
@pytest.mark.parametrize("seed", range(100))
def test_init_arpack_v0(seed):
# check that the initialization a sampling from an uniform distribution
# where we... | 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/utils/tests/test_response.py | sklearn/utils/tests/test_response.py | import warnings
import numpy as np
import pytest
from sklearn.base import clone
from sklearn.datasets import (
load_iris,
make_classification,
make_multilabel_classification,
make_regression,
)
from sklearn.ensemble import IsolationForest
from sklearn.linear_model import (
LinearRegression,
Lo... | 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/utils/tests/test_mask.py | sklearn/utils/tests/test_mask.py | import pytest
from sklearn.utils._mask import safe_mask
from sklearn.utils.fixes import CSR_CONTAINERS
from sklearn.utils.validation import check_random_state
@pytest.mark.parametrize("csr_container", CSR_CONTAINERS)
def test_safe_mask(csr_container):
random_state = check_random_state(0)
X = random_state.ran... | 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/utils/tests/test_encode.py | sklearn/utils/tests/test_encode.py | import pickle
import numpy as np
import pytest
from numpy.testing import assert_array_equal
from sklearn.utils._encode import _check_unknown, _encode, _get_counts, _unique
@pytest.mark.parametrize(
"values, expected",
[
(np.array([2, 1, 3, 1, 3], dtype="int64"), np.array([1, 2, 3], dtype="int64")),
... | 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/utils/tests/test_dataframe.py | sklearn/utils/tests/test_dataframe.py | """Tests for dataframe detection functions."""
import numpy as np
import pytest
from sklearn._min_dependencies import dependent_packages
from sklearn.utils._dataframe import is_df_or_series, is_pandas_df, is_polars_df
from sklearn.utils._testing import _convert_container
@pytest.mark.parametrize("constructor_name",... | 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/utils/tests/test_plotting.py | sklearn/utils/tests/test_plotting.py | import numpy as np
import pytest
from sklearn.linear_model import LogisticRegression
from sklearn.utils._plotting import (
_BinaryClassifierCurveDisplayMixin,
_deprecate_estimator_name,
_despine,
_interval_max_min_ratio,
_validate_score_name,
_validate_style_kwargs,
)
from sklearn.utils._respon... | 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/utils/tests/test_typedefs.py | sklearn/utils/tests/test_typedefs.py | import numpy as np
import pytest
from sklearn.utils._typedefs import testing_make_array_from_typed_val
@pytest.mark.parametrize(
"type_t, value, expected_dtype",
[
("float64_t", 1.0, np.float64),
("float32_t", 1.0, np.float32),
("intp_t", 1, np.intp),
("int8_t", 1, np.int8),
... | 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/utils/tests/__init__.py | sklearn/utils/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/utils/tests/test_validation.py | sklearn/utils/tests/test_validation.py | """Tests for input validation functions"""
import numbers
import re
import warnings
from itertools import product
from operator import itemgetter
from tempfile import NamedTemporaryFile
import numpy as np
import pytest
import scipy.sparse as sp
from pytest import importorskip
import sklearn
from sklearn._config impo... | 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/utils/tests/test_show_versions.py | sklearn/utils/tests/test_show_versions.py | from threadpoolctl import threadpool_info
from sklearn.utils._show_versions import _get_deps_info, _get_sys_info, show_versions
from sklearn.utils._testing import ignore_warnings
def test_get_sys_info():
sys_info = _get_sys_info()
assert "python" in sys_info
assert "executable" in sys_info
assert "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/utils/tests/test_bunch.py | sklearn/utils/tests/test_bunch.py | import warnings
import numpy as np
import pytest
from sklearn.utils import Bunch
def test_bunch_attribute_deprecation():
"""Check that bunch raises deprecation message with `__getattr__`."""
bunch = Bunch()
values = np.asarray([1, 2, 3])
msg = (
"Key: 'values', is deprecated in 1.3 and will ... | 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/utils/tests/test_set_output.py | sklearn/utils/tests/test_set_output.py | import importlib
from collections import namedtuple
import numpy as np
import pytest
from numpy.testing import assert_array_equal
from sklearn._config import config_context, get_config
from sklearn.preprocessing import StandardScaler
from sklearn.utils._set_output import (
ADAPTERS_MANAGER,
ContainerAdapterPr... | 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/utils/tests/test_class_weight.py | sklearn/utils/tests/test_class_weight.py | import numpy as np
import pytest
from numpy.testing import assert_allclose
from sklearn.datasets import make_blobs
from sklearn.linear_model import LogisticRegression
from sklearn.tree import DecisionTreeClassifier
from sklearn.utils._testing import assert_almost_equal, assert_array_almost_equal
from sklearn.utils.cla... | 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/utils/tests/test_optimize.py | sklearn/utils/tests/test_optimize.py | import warnings
import numpy as np
import pytest
from scipy.optimize import fmin_ncg
from sklearn.exceptions import ConvergenceWarning
from sklearn.utils._bunch import Bunch
from sklearn.utils._testing import assert_allclose
from sklearn.utils.optimize import _check_optimize_result, _newton_cg
def test_newton_cg(gl... | 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/utils/tests/test_user_interface.py | sklearn/utils/tests/test_user_interface.py | import string
import timeit
import pytest
from sklearn.utils._user_interface import _message_with_time, _print_elapsed_time
@pytest.mark.parametrize(
["source", "message", "is_long"],
[
("ABC", string.ascii_lowercase, False),
("ABCDEF", string.ascii_lowercase, False),
("ABC", string.... | 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/utils/tests/test_weight_vector.py | sklearn/utils/tests/test_weight_vector.py | import numpy as np
import pytest
from sklearn.utils._weight_vector import (
WeightVector32,
WeightVector64,
)
@pytest.mark.parametrize(
"dtype, WeightVector",
[
(np.float32, WeightVector32),
(np.float64, WeightVector64),
],
)
def test_type_invariance(dtype, WeightVector):
"""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/utils/tests/test_sparsefuncs.py | sklearn/utils/tests/test_sparsefuncs.py | import numpy as np
import pytest
import scipy.sparse as sp
from numpy.random import RandomState
from numpy.testing import assert_array_almost_equal, assert_array_equal
from scipy import linalg
from sklearn.datasets import make_classification
from sklearn.utils._testing import assert_allclose
from sklearn.utils.fixes i... | 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/utils/_repr_html/params.py | sklearn/utils/_repr_html/params.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import html
import inspect
import re
import reprlib
from collections import UserDict
from functools import lru_cache
from urllib.parse import quote
from sklearn.externals._numpydoc import docscrape
from sklearn.utils._repr_html.base 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/utils/_repr_html/estimator.py | sklearn/utils/_repr_html/estimator.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import html
from contextlib import closing
from inspect import isclass
from io import StringIO
from pathlib import Path
from string import Template
from sklearn import config_context
class _IDCounter:
"""Generate sequential ids with ... | 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/utils/_repr_html/__init__.py | sklearn/utils/_repr_html/__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/utils/_repr_html/base.py | sklearn/utils/_repr_html/base.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import itertools
from sklearn import __version__
from sklearn._config import get_config
from sklearn.utils.fixes import parse_version
class _HTMLDocumentationLinkMixin:
"""Mixin class allowing to generate a link to the API documentat... | 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/utils/_repr_html/tests/test_js.py | sklearn/utils/_repr_html/tests/test_js.py | import socket
import threading
from http.server import BaseHTTPRequestHandler, HTTPServer
from pathlib import Path
import pytest
@pytest.fixture(scope="session", autouse=True)
def check_playwright():
"""Skip tests if playwright is not installed.
This fixture is used by the next fixture (which is autouse) to... | 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/utils/_repr_html/tests/test_params.py | sklearn/utils/_repr_html/tests/test_params.py | import re
import pytest
from sklearn import config_context
from sklearn.utils._repr_html.params import (
ParamsDict,
_generate_link_to_param_doc,
_params_html_repr,
_read_params,
)
def test_params_dict_content():
"""Check the behavior of the ParamsDict class."""
params = ParamsDict(params={"... | 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/utils/_repr_html/tests/__init__.py | sklearn/utils/_repr_html/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/utils/_repr_html/tests/test_estimator.py | sklearn/utils/_repr_html/tests/test_estimator.py | import html
import locale
import re
import types
from contextlib import closing
from functools import partial
from io import StringIO
from unittest.mock import patch
import numpy as np
import pytest
from sklearn import config_context
from sklearn.base import BaseEstimator, clone
from sklearn.cluster import Agglomerat... | 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/cross_decomposition/_pls.py | sklearn/cross_decomposition/_pls.py | """
The :mod:`sklearn.pls` module implements Partial Least Squares (PLS).
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import warnings
from abc import ABCMeta, abstractmethod
from numbers import Integral, Real
import numpy as np
from scipy.linalg import pinv, svd
from sklearn.b... | 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/cross_decomposition/__init__.py | sklearn/cross_decomposition/__init__.py | """Algorithms for cross decomposition."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from sklearn.cross_decomposition._pls import CCA, PLSSVD, PLSCanonical, PLSRegression
__all__ = ["CCA", "PLSSVD", "PLSCanonical", "PLSRegression"]
| 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/cross_decomposition/tests/test_pls.py | sklearn/cross_decomposition/tests/test_pls.py | import warnings
import numpy as np
import pytest
from numpy.testing import assert_allclose, assert_array_almost_equal, assert_array_equal
from sklearn.cross_decomposition import CCA, PLSSVD, PLSCanonical, PLSRegression
from sklearn.cross_decomposition._pls import (
_center_scale_xy,
_get_first_singular_vector... | 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/cross_decomposition/tests/__init__.py | sklearn/cross_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/linear_model/_passive_aggressive.py | sklearn/linear_model/_passive_aggressive.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from numbers import Real
from sklearn.base import _fit_context
from sklearn.linear_model._stochastic_gradient import (
DEFAULT_EPSILON,
BaseSGDClassifier,
BaseSGDRegressor,
)
from sklearn.utils import deprecated
from sklearn.ut... | 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/_base.py | sklearn/linear_model/_base.py | """
Generalized Linear Models.
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import warnings
from abc import ABCMeta, abstractmethod
from numbers import Integral, Real
import numpy as np
import scipy.sparse as sp
from scipy import linalg, optimize, sparse
from scipy.sparse.linalg... | 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/_coordinate_descent.py | sklearn/linear_model/_coordinate_descent.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import numbers
import sys
import warnings
from abc import ABC, abstractmethod
from functools import partial
from numbers import Integral, Real
import numpy as np
from joblib import effective_n_jobs
from scipy import sparse
from sklearn.ba... | 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/_linear_loss.py | sklearn/linear_model/_linear_loss.py | """
Loss functions for linear models with raw_prediction = X @ coef
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import numpy as np
from scipy import sparse
from sklearn.utils.extmath import safe_sparse_dot, squared_norm
def sandwich_dot(X, W):
"""Compute the sandwich prod... | 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/_omp.py | sklearn/linear_model/_omp.py | """Orthogonal matching pursuit algorithms"""
# 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 linalg
from scipy.linalg.lapack import get_lapack_funcs
from sklearn.base import M... | 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/_ridge.py | sklearn/linear_model/_ridge.py | """
Ridge regression
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import numbers
import warnings
from abc import ABCMeta, abstractmethod
from functools import partial
from numbers import Integral, Real
import numpy as np
from scipy import linalg, optimize, sparse
from scipy.spar... | 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/_perceptron.py | sklearn/linear_model/_perceptron.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from numbers import Real
from sklearn.linear_model._stochastic_gradient import BaseSGDClassifier
from sklearn.utils._param_validation import Interval, StrOptions
class Perceptron(BaseSGDClassifier):
"""Linear perceptron classifier.
... | 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/_theil_sen.py | sklearn/linear_model/_theil_sen.py | """
A Theil-Sen Estimator for Multiple Linear Regression Model
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import warnings
from itertools import combinations
from numbers import Integral, Real
import numpy as np
from joblib import effective_n_jobs
from scipy import linalg
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/linear_model/_least_angle.py | sklearn/linear_model/_least_angle.py | """
Least Angle Regression algorithm. See the documentation on the
Generalized Linear Model for a complete discussion.
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import sys
import warnings
from math import log
from numbers import Integral, Real
import numpy as np
from scipy 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/linear_model/_stochastic_gradient.py | sklearn/linear_model/_stochastic_gradient.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
"""Classification, regression and One-Class SVM using Stochastic Gradient
Descent (SGD).
"""
import warnings
from abc import ABCMeta, abstractmethod
from numbers import Integral, Real
import numpy as np
from sklearn._loss._loss import Cy... | 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/_bayes.py | sklearn/linear_model/_bayes.py | """
Various bayesian regression
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from math import log
from numbers import Integral, Real
import numpy as np
from scipy import linalg
from scipy.linalg import pinvh
from sklearn.base import RegressorMixin, _fit_context
from sklearn.lin... | 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/_sag.py | sklearn/linear_model/_sag.py | """Solvers for Ridge and LogisticRegression using SAG algorithm"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import warnings
import numpy as np
from sklearn.exceptions import ConvergenceWarning
from sklearn.linear_model._base import make_dataset
from sklearn.linear_model._sag_fa... | 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/__init__.py | sklearn/linear_model/__init__.py | """A variety of linear models."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
# See http://scikit-learn.sourceforge.net/modules/sgd.html and
# http://scikit-learn.sourceforge.net/modules/linear_model.html for
# complete documentation.
from sklearn.linear_model._base import LinearRe... | 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/_quantile.py | sklearn/linear_model/_quantile.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import warnings
from numbers import Real
import numpy as np
from scipy import sparse
from scipy.optimize import linprog
from sklearn.base import BaseEstimator, RegressorMixin, _fit_context
from sklearn.exceptions import ConvergenceWarning... | 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/_logistic.py | sklearn/linear_model/_logistic.py | """
Logistic Regression
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import numbers
import warnings
from numbers import Integral, Real
import numpy as np
from scipy import optimize
from sklearn._loss.loss import HalfBinomialLoss, HalfMultinomialLoss
from sklearn.base import _fi... | 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/_huber.py | sklearn/linear_model/_huber.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from numbers import Integral, Real
import numpy as np
from scipy import optimize
from sklearn.base import BaseEstimator, RegressorMixin, _fit_context
from sklearn.linear_model._base import LinearModel
from sklearn.utils._mask import axis0... | 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/_ransac.py | sklearn/linear_model/_ransac.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import warnings
from numbers import Integral, Real
import numpy as np
from sklearn.base import (
BaseEstimator,
MetaEstimatorMixin,
MultiOutputMixin,
RegressorMixin,
_fit_context,
clone,
)
from sklearn.exceptions 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/linear_model/tests/test_quantile.py | sklearn/linear_model/tests/test_quantile.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import numpy as np
import pytest
from pytest import approx
from scipy.optimize import minimize
from sklearn.datasets import make_regression
from sklearn.exceptions import ConvergenceWarning
from sklearn.linear_model import HuberRegressor, ... | 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_passive_aggressive.py | sklearn/linear_model/tests/test_passive_aggressive.py | import numpy as np
import pytest
from numpy.testing import assert_allclose
from scipy.sparse import issparse
from sklearn.base import ClassifierMixin
from sklearn.datasets import load_iris, make_classification, make_regression
from sklearn.linear_model import (
PassiveAggressiveClassifier,
PassiveAggressiveReg... | 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_sparse_coordinate_descent.py | sklearn/linear_model/tests/test_sparse_coordinate_descent.py | import numpy as np
import pytest
import scipy.sparse as sp
from numpy.testing import assert_allclose
from sklearn.datasets import make_regression
from sklearn.exceptions import ConvergenceWarning
from sklearn.linear_model import ElasticNet, ElasticNetCV, Lasso, LassoCV
from sklearn.utils._testing import (
assert_a... | 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_omp.py | sklearn/linear_model/tests/test_omp.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import numpy as np
import pytest
from sklearn.datasets import make_sparse_coded_signal
from sklearn.linear_model import (
LinearRegression,
OrthogonalMatchingPursuit,
OrthogonalMatchingPursuitCV,
orthogonal_mp,
orthogo... | 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_common.py | sklearn/linear_model/tests/test_common.py | # SPDX-License-Identifier: BSD-3-Clause
import inspect
import numpy as np
import pytest
from sklearn.base import clone, is_classifier
from sklearn.datasets import make_classification, make_low_rank_matrix, make_regression
from sklearn.linear_model import (
ARDRegression,
BayesianRidge,
ElasticNet,
El... | 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_least_angle.py | sklearn/linear_model/tests/test_least_angle.py | import warnings
import numpy as np
import pytest
from scipy import linalg
from sklearn import datasets, linear_model
from sklearn.base import clone
from sklearn.exceptions import ConvergenceWarning
from sklearn.linear_model import (
Lars,
LarsCV,
LassoLars,
LassoLarsCV,
LassoLarsIC,
lars_path,... | 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_base.py | sklearn/linear_model/tests/test_base.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import warnings
import numpy as np
import pytest
from scipy import linalg, sparse
from sklearn.datasets import load_iris, make_regression, make_sparse_uncorrelated
from sklearn.linear_model import LinearRegression
from sklearn.linear_mode... | 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_sgd.py | sklearn/linear_model/tests/test_sgd.py | import pickle
import warnings
from unittest.mock import Mock
import joblib
import numpy as np
import pytest
import scipy.sparse as sp
from scipy.optimize import minimize
from sklearn import datasets, linear_model, metrics
from sklearn.base import clone, is_classifier
from sklearn.datasets import make_blobs
from sklea... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | true |
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