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classes |
|---|---|---|---|---|---|---|---|---|
scikit-learn/scikit-learn | https://github.com/scikit-learn/scikit-learn/blob/6dce55ebff962076625db46ab70b6b1c939f423b/sklearn/gaussian_process/tests/test_gpr.py | sklearn/gaussian_process/tests/test_gpr.py | """Testing for Gaussian process regression"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import re
import sys
import warnings
import numpy as np
import pytest
from scipy.optimize import approx_fprime
from sklearn.exceptions import ConvergenceWarning
from sklearn.gaussian_process ... | 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/model_selection/_plot.py | sklearn/model_selection/_plot.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import numpy as np
from sklearn.model_selection._validation import learning_curve, validation_curve
from sklearn.utils._optional_dependencies import check_matplotlib_support
from sklearn.utils._plotting import _interval_max_min_ratio, _val... | 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/model_selection/_split.py | sklearn/model_selection/_split.py | """
The :mod:`sklearn.model_selection._split` module includes classes and
functions to split the data based on a preset strategy.
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import numbers
import warnings
from abc import ABCMeta, abstractmethod
from collections import defaultdic... | 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/model_selection/_classification_threshold.py | sklearn/model_selection/_classification_threshold.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from collections.abc import MutableMapping
from numbers import Integral, Real
import numpy as np
from sklearn.base import (
BaseEstimator,
ClassifierMixin,
MetaEstimatorMixin,
_fit_context,
clone,
)
from sklearn.except... | 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/model_selection/_search_successive_halving.py | sklearn/model_selection/_search_successive_halving.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from abc import abstractmethod
from math import ceil, floor, log
from numbers import Integral, Real
import numpy as np
from sklearn.base import _fit_context, is_classifier
from sklearn.metrics._scorer import get_scorer_names
from sklearn.... | 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/model_selection/_search.py | sklearn/model_selection/_search.py | """
The :mod:`sklearn.model_selection._search` includes utilities to fine-tune the
parameters of an estimator.
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import numbers
import operator
import time
import warnings
from abc import ABCMeta, abstractmethod
from collections import d... | 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/model_selection/_validation.py | sklearn/model_selection/_validation.py | """
The :mod:`sklearn.model_selection._validation` module includes classes and
functions to validate the model.
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import numbers
import time
import warnings
from collections import Counter
from contextlib import suppress
from functools 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/model_selection/__init__.py | sklearn/model_selection/__init__.py | """Tools for model selection, such as cross validation and hyper-parameter tuning."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import typing
from sklearn.model_selection._classification_threshold import (
FixedThresholdClassifier,
TunedThresholdClassifierCV,
)
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/model_selection/tests/test_classification_threshold.py | sklearn/model_selection/tests/test_classification_threshold.py | import numpy as np
import pytest
from sklearn import config_context
from sklearn.base import clone
from sklearn.datasets import (
load_breast_cancer,
load_iris,
make_classification,
make_multilabel_classification,
)
from sklearn.dummy import DummyClassifier
from sklearn.ensemble import GradientBoosting... | 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/model_selection/tests/test_split.py | sklearn/model_selection/tests/test_split.py | """Test the split module"""
import re
import warnings
from itertools import combinations, combinations_with_replacement, permutations
import numpy as np
import pytest
from scipy import stats
from scipy.sparse import issparse
from scipy.special import comb
from sklearn import config_context
from sklearn.datasets 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/model_selection/tests/common.py | sklearn/model_selection/tests/common.py | """
Common utilities for testing model selection.
"""
import numpy as np
from sklearn.model_selection import KFold
class OneTimeSplitter:
"""A wrapper to make KFold single entry cv iterator"""
def __init__(self, n_splits=4, n_samples=99):
self.n_splits = n_splits
self.n_samples = n_samples
... | 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/model_selection/tests/test_successive_halving.py | sklearn/model_selection/tests/test_successive_halving.py | from math import ceil
import numpy as np
import pytest
from scipy.stats import expon, norm, randint
from sklearn.datasets import make_classification
from sklearn.dummy import DummyClassifier
from sklearn.experimental import enable_halving_search_cv # noqa: F401
from sklearn.model_selection import (
GroupKFold,
... | 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/model_selection/tests/__init__.py | sklearn/model_selection/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/model_selection/tests/test_validation.py | sklearn/model_selection/tests/test_validation.py | """Test the validation module"""
import os
import re
import tempfile
import warnings
from functools import partial
from time import sleep
import numpy as np
import pytest
from scipy.sparse import issparse
from sklearn import config_context
from sklearn.base import BaseEstimator, ClassifierMixin, clone, is_classifier... | 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/model_selection/tests/test_plot.py | sklearn/model_selection/tests/test_plot.py | import numpy as np
import pytest
from sklearn.datasets import load_iris
from sklearn.model_selection import (
LearningCurveDisplay,
ValidationCurveDisplay,
learning_curve,
validation_curve,
)
from sklearn.tree import DecisionTreeClassifier
from sklearn.utils import shuffle
from sklearn.utils._testing 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/model_selection/tests/test_search.py | sklearn/model_selection/tests/test_search.py | """Test the search module"""
import pickle
import re
import sys
import warnings
from collections.abc import Iterable, Sized
from functools import partial
from io import StringIO
from itertools import chain, product
from types import GeneratorType
import numpy as np
import pytest
from scipy.stats import bernoulli, exp... | 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/_loss/link.py | sklearn/_loss/link.py | """
Module contains classes for invertible (and differentiable) link functions.
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from abc import ABC, abstractmethod
from dataclasses import dataclass
import numpy as np
from scipy.special import expit, logit
from scipy.stats import gm... | 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/_loss/loss.py | sklearn/_loss/loss.py | """
This module contains loss classes suitable for fitting.
It is not part of the public API.
Specific losses are used for regression, binary classification or multiclass
classification.
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
# Goals:
# - Provide a common private module fo... | 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/_loss/__init__.py | sklearn/_loss/__init__.py | """
The :mod:`sklearn._loss` module includes loss function classes suitable for
fitting classification and regression tasks.
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from sklearn._loss.loss import (
AbsoluteError,
HalfBinomialLoss,
HalfGammaLoss,
HalfMultinomi... | 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/_loss/tests/test_loss.py | sklearn/_loss/tests/test_loss.py | import pickle
import numpy as np
import pytest
from numpy.testing import assert_allclose, assert_array_equal
from pytest import approx
from scipy.optimize import (
LinearConstraint,
minimize,
minimize_scalar,
newton,
)
from scipy.special import logsumexp
from sklearn._loss.link import IdentityLink, _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/_loss/tests/test_link.py | sklearn/_loss/tests/test_link.py | import numpy as np
import pytest
from numpy.testing import assert_allclose, assert_array_equal
from sklearn._loss.link import (
_LINKS,
HalfLogitLink,
Interval,
MultinomialLogit,
_inclusive_low_high,
)
LINK_FUNCTIONS = list(_LINKS.values())
def test_interval_raises():
"""Test that interval w... | 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/_loss/tests/__init__.py | sklearn/_loss/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/ensemble/_base.py | sklearn/ensemble/_base.py | """Base class for ensemble-based estimators."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from abc import ABCMeta, abstractmethod
import numpy as np
from joblib import effective_n_jobs
from sklearn.base import (
BaseEstimator,
MetaEstimatorMixin,
clone,
is_classi... | 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/ensemble/_stacking.py | sklearn/ensemble/_stacking.py | """Stacking classifier and regressor."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from abc import ABCMeta, abstractmethod
from copy import deepcopy
from numbers import Integral
import numpy as np
import scipy.sparse as sparse
from sklearn.base import (
ClassifierMixin,
... | 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/ensemble/_forest.py | sklearn/ensemble/_forest.py | """
Forest of trees-based ensemble methods.
Those methods include random forests and extremely randomized trees.
The module structure is the following:
- The ``BaseForest`` base class implements a common ``fit`` method for all
the estimators in the module. The ``fit`` method of the base ``Forest``
class calls th... | 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/ensemble/_iforest.py | sklearn/ensemble/_iforest.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import numbers
import threading
from numbers import Integral, Real
from warnings import warn
import numpy as np
from scipy.sparse import issparse
from sklearn.base import OutlierMixin, _fit_context
from sklearn.ensemble._bagging import Ba... | 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/ensemble/_bagging.py | sklearn/ensemble/_bagging.py | """Bagging meta-estimator."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import itertools
import numbers
from abc import ABCMeta, abstractmethod
from functools import partial
from numbers import Integral
from warnings import warn
import numpy as np
from sklearn.base import Classi... | 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/ensemble/__init__.py | sklearn/ensemble/__init__.py | """Ensemble-based methods for classification, regression and anomaly detection."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from sklearn.ensemble._bagging import BaggingClassifier, BaggingRegressor
from sklearn.ensemble._base import BaseEnsemble
from sklearn.ensemble._forest 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/ensemble/_gb.py | sklearn/ensemble/_gb.py | """Gradient Boosted Regression Trees.
This module contains methods for fitting gradient boosted regression trees for
both classification and regression.
The module structure is the following:
- The ``BaseGradientBoosting`` base class implements a common ``fit`` method
for all the estimators in the module. Regressi... | 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/ensemble/_weight_boosting.py | sklearn/ensemble/_weight_boosting.py | """Weight Boosting.
This module contains weight boosting estimators for both classification and
regression.
The module structure is the following:
- The `BaseWeightBoosting` base class implements a common ``fit`` method
for all the estimators in the module. Regression and classification
only differ from each oth... | 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/ensemble/_voting.py | sklearn/ensemble/_voting.py | """
Soft Voting/Majority Rule classifier and Voting regressor.
This module contains:
- A Soft Voting/Majority Rule classifier for classification estimators.
- A Voting regressor for regression estimators.
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from abc import abstractmet... | 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/ensemble/_hist_gradient_boosting/grower.py | sklearn/ensemble/_hist_gradient_boosting/grower.py | """
This module contains the TreeGrower class.
TreeGrower builds a regression tree fitting a Newton-Raphson step, based on
the gradients and hessians of the training data.
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import numbers
from heapq import heappop, heappush
from timeit... | 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/ensemble/_hist_gradient_boosting/predictor.py | sklearn/ensemble/_hist_gradient_boosting/predictor.py | """
This module contains the TreePredictor class which is used for prediction.
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import numpy as np
from sklearn.ensemble._hist_gradient_boosting._predictor import (
_compute_partial_dependence,
_predict_from_binned_data,
_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/ensemble/_hist_gradient_boosting/utils.py | sklearn/ensemble/_hist_gradient_boosting/utils.py | """This module contains utility routines."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from sklearn.base import is_classifier
from sklearn.ensemble._hist_gradient_boosting.binning import _BinMapper
def get_equivalent_estimator(estimator, lib="lightgbm", n_classes=None):
"""R... | 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/ensemble/_hist_gradient_boosting/__init__.py | sklearn/ensemble/_hist_gradient_boosting/__init__.py | """This module implements histogram-based gradient boosting estimators.
The implementation is a port from pygbm which is itself strongly inspired
from LightGBM.
"""
# 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/ensemble/_hist_gradient_boosting/gradient_boosting.py | sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py | """Fast Gradient Boosting decision trees for classification and regression."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import itertools
from abc import ABC, abstractmethod
from contextlib import contextmanager, nullcontext, suppress
from functools import partial
from numbers 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/ensemble/_hist_gradient_boosting/binning.py | sklearn/ensemble/_hist_gradient_boosting/binning.py | """
This module contains the BinMapper class.
BinMapper is used for mapping a real-valued dataset into integer-valued bins.
Bin thresholds are computed with the quantiles so that each bin contains
approximately the same number of samples.
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-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/ensemble/_hist_gradient_boosting/tests/test_warm_start.py | sklearn/ensemble/_hist_gradient_boosting/tests/test_warm_start.py | import numpy as np
import pytest
from numpy.testing import assert_allclose, assert_array_equal
from sklearn.base import clone
from sklearn.datasets import make_classification, make_regression
from sklearn.ensemble import (
HistGradientBoostingClassifier,
HistGradientBoostingRegressor,
)
from sklearn.metrics im... | 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/ensemble/_hist_gradient_boosting/tests/test_grower.py | sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py | import numpy as np
import pytest
from numpy.testing import assert_allclose, assert_array_equal
from pytest import approx
from sklearn.ensemble._hist_gradient_boosting.binning import _BinMapper
from sklearn.ensemble._hist_gradient_boosting.common import (
G_H_DTYPE,
X_BINNED_DTYPE,
X_BITSET_INNER_DTYPE,
... | 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/ensemble/_hist_gradient_boosting/tests/test_predictor.py | sklearn/ensemble/_hist_gradient_boosting/tests/test_predictor.py | import numpy as np
import pytest
from numpy.testing import assert_allclose
from sklearn.datasets import make_regression
from sklearn.ensemble._hist_gradient_boosting._bitset import (
set_bitset_memoryview,
set_raw_bitset_from_binned_bitset,
)
from sklearn.ensemble._hist_gradient_boosting.binning import _BinMap... | 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/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py | sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py | import copyreg
import io
import pickle
import re
import warnings
from unittest.mock import Mock
import joblib
import numpy as np
import pytest
from joblib.numpy_pickle import NumpyPickler
from numpy.testing import assert_allclose, assert_array_equal
import sklearn.ensemble._hist_gradient_boosting.gradient_boosting as... | 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/ensemble/_hist_gradient_boosting/tests/test_histogram.py | sklearn/ensemble/_hist_gradient_boosting/tests/test_histogram.py | import numpy as np
import pytest
from numpy.testing import assert_allclose, assert_array_equal
from sklearn.ensemble._hist_gradient_boosting.common import (
G_H_DTYPE,
HISTOGRAM_DTYPE,
X_BINNED_DTYPE,
)
from sklearn.ensemble._hist_gradient_boosting.histogram import (
_build_histogram,
_build_histog... | 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/ensemble/_hist_gradient_boosting/tests/test_bitset.py | sklearn/ensemble/_hist_gradient_boosting/tests/test_bitset.py | import numpy as np
import pytest
from numpy.testing import assert_allclose
from sklearn.ensemble._hist_gradient_boosting._bitset import (
in_bitset_memoryview,
set_bitset_memoryview,
set_raw_bitset_from_binned_bitset,
)
from sklearn.ensemble._hist_gradient_boosting.common import X_DTYPE
@pytest.mark.para... | 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/ensemble/_hist_gradient_boosting/tests/test_splitting.py | sklearn/ensemble/_hist_gradient_boosting/tests/test_splitting.py | import numpy as np
import pytest
from numpy.testing import assert_array_equal
from sklearn.ensemble._hist_gradient_boosting.common import (
G_H_DTYPE,
HISTOGRAM_DTYPE,
X_BINNED_DTYPE,
MonotonicConstraint,
)
from sklearn.ensemble._hist_gradient_boosting.histogram import HistogramBuilder
from sklearn.ens... | 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/ensemble/_hist_gradient_boosting/tests/__init__.py | sklearn/ensemble/_hist_gradient_boosting/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/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py | sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py | import numpy as np
import pytest
from sklearn.datasets import make_classification, make_regression
from sklearn.ensemble import (
HistGradientBoostingClassifier,
HistGradientBoostingRegressor,
)
from sklearn.ensemble._hist_gradient_boosting.binning import _BinMapper
from sklearn.ensemble._hist_gradient_boostin... | 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/ensemble/_hist_gradient_boosting/tests/test_monotonic_constraints.py | sklearn/ensemble/_hist_gradient_boosting/tests/test_monotonic_constraints.py | import re
import numpy as np
import pytest
from sklearn.ensemble import (
HistGradientBoostingClassifier,
HistGradientBoostingRegressor,
)
from sklearn.ensemble._hist_gradient_boosting.common import (
G_H_DTYPE,
X_BINNED_DTYPE,
MonotonicConstraint,
)
from sklearn.ensemble._hist_gradient_boosting.g... | 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/ensemble/_hist_gradient_boosting/tests/test_binning.py | sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py | import numpy as np
import pytest
from numpy.testing import assert_allclose, assert_array_equal
from sklearn.ensemble._hist_gradient_boosting.binning import (
_BinMapper,
_find_binning_thresholds,
_map_to_bins,
)
from sklearn.ensemble._hist_gradient_boosting.common import (
ALMOST_INF,
X_BINNED_DTYP... | 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/ensemble/tests/test_stacking.py | sklearn/ensemble/tests/test_stacking.py | """Test the stacking classifier and regressor."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import re
from unittest.mock import Mock
import numpy as np
import pytest
from numpy.testing import assert_array_equal
from scipy import sparse
from sklearn import config_context
from skl... | 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/ensemble/tests/test_gradient_boosting.py | sklearn/ensemble/tests/test_gradient_boosting.py | """
Testing for the gradient boosting module (sklearn.ensemble.gradient_boosting).
"""
import re
import warnings
import numpy as np
import pytest
from numpy.testing import assert_allclose
from sklearn import datasets
from sklearn.base import clone
from sklearn.datasets import make_classification, make_regression
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/ensemble/tests/test_common.py | sklearn/ensemble/tests/test_common.py | import numpy as np
import pytest
from sklearn.base import ClassifierMixin, clone, is_classifier
from sklearn.datasets import (
load_diabetes,
load_iris,
make_classification,
make_regression,
)
from sklearn.ensemble import (
RandomForestClassifier,
RandomForestRegressor,
StackingClassifier,
... | 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/ensemble/tests/test_base.py | sklearn/ensemble/tests/test_base.py | """
Testing for the base module (sklearn.ensemble.base).
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from collections import OrderedDict
import numpy as np
from sklearn.datasets import load_iris
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
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/ensemble/tests/test_iforest.py | sklearn/ensemble/tests/test_iforest.py | """
Testing for Isolation Forest algorithm (sklearn.ensemble.iforest).
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import warnings
from unittest.mock import Mock, patch
import numpy as np
import pytest
from joblib import parallel_backend
from sklearn.datasets import load_diabe... | 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/ensemble/tests/test_voting.py | sklearn/ensemble/tests/test_voting.py | """Testing for the VotingClassifier and VotingRegressor"""
import re
import numpy as np
import pytest
from sklearn import config_context, datasets
from sklearn.base import BaseEstimator, ClassifierMixin, clone
from sklearn.calibration import CalibratedClassifierCV
from sklearn.datasets import make_multilabel_classif... | 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/ensemble/tests/test_forest.py | sklearn/ensemble/tests/test_forest.py | """
Testing for the forest module (sklearn.ensemble.forest).
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import itertools
import math
import pickle
from collections import defaultdict
from functools import partial
from itertools import combinations, product
from typing import An... | 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/ensemble/tests/__init__.py | sklearn/ensemble/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/ensemble/tests/test_weight_boosting.py | sklearn/ensemble/tests/test_weight_boosting.py | """Testing for the boost module (sklearn.ensemble.boost)."""
import re
import numpy as np
import pytest
from sklearn import datasets
from sklearn.base import BaseEstimator, clone
from sklearn.dummy import DummyClassifier, DummyRegressor
from sklearn.ensemble import AdaBoostClassifier, AdaBoostRegressor
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/ensemble/tests/test_bagging.py | sklearn/ensemble/tests/test_bagging.py | """
Testing for the bagging ensemble module (sklearn.ensemble.bagging).
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import re
import warnings
from itertools import cycle, product
import joblib
import numpy as np
import pytest
from sklearn import config_context
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/neighbors/_base.py | sklearn/neighbors/_base.py | """Base and mixin classes for nearest neighbors."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import itertools
import numbers
import warnings
from abc import ABCMeta, abstractmethod
from functools import partial
from numbers import Integral, Real
import numpy as np
from 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/neighbors/_graph.py | sklearn/neighbors/_graph.py | """Nearest Neighbors graph functions"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import itertools
from sklearn.base import ClassNamePrefixFeaturesOutMixin, TransformerMixin, _fit_context
from sklearn.neighbors._base import (
VALID_METRICS,
KNeighborsMixin,
NeighborsB... | 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/neighbors/_nca.py | sklearn/neighbors/_nca.py | """
Neighborhood Component Analysis
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import sys
import time
from numbers import Integral, Real
from warnings import warn
import numpy as np
from scipy.optimize import minimize
from sklearn.base import (
BaseEstimator,
ClassNam... | 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/neighbors/_nearest_centroid.py | sklearn/neighbors/_nearest_centroid.py | """
Nearest Centroid Classification
"""
# 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 as sp
from sklearn.base import BaseEstimator, ClassifierMixin, _fit_context
from sklearn.discriminant_analysis 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/neighbors/_classification.py | sklearn/neighbors/_classification.py | """Nearest Neighbor Classification"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import warnings
from numbers import Integral
import numpy as np
from sklearn.base import ClassifierMixin, _fit_context
from sklearn.metrics._pairwise_distances_reduction import (
ArgKminClassMode... | 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/neighbors/__init__.py | sklearn/neighbors/__init__.py | """The k-nearest neighbors algorithms."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from sklearn.neighbors._ball_tree import BallTree
from sklearn.neighbors._base import (
VALID_METRICS,
VALID_METRICS_SPARSE,
sort_graph_by_row_values,
)
from sklearn.neighbors._classifi... | 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/neighbors/_kde.py | sklearn/neighbors/_kde.py | """
Kernel Density Estimation
-------------------------
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import itertools
from numbers import Integral, Real
import numpy as np
from scipy.special import gammainc
from sklearn.base import BaseEstimator, _fit_context
from sklearn.neigh... | 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/neighbors/_unsupervised.py | sklearn/neighbors/_unsupervised.py | """Unsupervised nearest neighbors learner"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from sklearn.base import _fit_context
from sklearn.neighbors._base import KNeighborsMixin, NeighborsBase, RadiusNeighborsMixin
class NearestNeighbors(KNeighborsMixin, RadiusNeighborsMixin, Nei... | 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/neighbors/_lof.py | sklearn/neighbors/_lof.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import warnings
from numbers import Real
import numpy as np
from sklearn.base import OutlierMixin, _fit_context
from sklearn.neighbors._base import KNeighborsMixin, NeighborsBase
from sklearn.utils import check_array
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/neighbors/_regression.py | sklearn/neighbors/_regression.py | """Nearest Neighbor Regression."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import warnings
import numpy as np
from sklearn.base import RegressorMixin, _fit_context
from sklearn.metrics import DistanceMetric
from sklearn.neighbors._base import (
KNeighborsMixin,
Neighbo... | 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/neighbors/tests/test_neighbors_pipeline.py | sklearn/neighbors/tests/test_neighbors_pipeline.py | """
This is testing the equivalence between some estimators with internal nearest
neighbors computations, and the corresponding pipeline versions with
KNeighborsTransformer or RadiusNeighborsTransformer to precompute the
neighbors.
"""
import numpy as np
from sklearn.base import clone
from sklearn.cluster import DBSC... | 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/neighbors/tests/test_quad_tree.py | sklearn/neighbors/tests/test_quad_tree.py | import pickle
import numpy as np
import pytest
from sklearn.neighbors._quad_tree import _QuadTree
from sklearn.utils import check_random_state
def test_quadtree_boundary_computation():
# Introduce a point into a quad tree with boundaries not easy to compute.
Xs = []
# check a random case
Xs.append(... | 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/neighbors/tests/test_kde.py | sklearn/neighbors/tests/test_kde.py | import joblib
import numpy as np
import pytest
from sklearn.datasets import make_blobs
from sklearn.exceptions import NotFittedError
from sklearn.model_selection import GridSearchCV
from sklearn.neighbors import KDTree, KernelDensity, NearestNeighbors
from sklearn.neighbors._ball_tree import kernel_norm
from sklearn.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/neighbors/tests/test_lof.py | sklearn/neighbors/tests/test_lof.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import re
from math import sqrt
import numpy as np
import pytest
from sklearn import metrics, neighbors
from sklearn.datasets import load_iris
from sklearn.metrics import roc_auc_score
from sklearn.utils import check_random_state
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/neighbors/tests/test_kd_tree.py | sklearn/neighbors/tests/test_kd_tree.py | import numpy as np
import pytest
from numpy.testing import assert_allclose, assert_equal
from sklearn.neighbors._kd_tree import KDTree, KDTree32, KDTree64
from sklearn.neighbors.tests.test_ball_tree import get_dataset_for_binary_tree
from sklearn.utils.parallel import Parallel, delayed
DIMENSION = 3
METRICS = {"eucl... | 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/neighbors/tests/test_neighbors.py | sklearn/neighbors/tests/test_neighbors.py | import re
import warnings
from itertools import product
import joblib
import numpy as np
import pytest
from scipy.sparse import issparse
from sklearn import (
config_context,
datasets,
metrics,
neighbors,
)
from sklearn.base import clone
from sklearn.exceptions import EfficiencyWarning, NotFittedError... | 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/neighbors/tests/test_neighbors_tree.py | sklearn/neighbors/tests/test_neighbors_tree.py | # SPDX-License-Identifier: BSD-3-Clause
import itertools
import pickle
import numpy as np
import pytest
from numpy.testing import assert_allclose, assert_array_almost_equal
from sklearn.metrics import DistanceMetric
from sklearn.neighbors._ball_tree import (
BallTree,
kernel_norm,
)
from sklearn.neighbors._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/neighbors/tests/test_graph.py | sklearn/neighbors/tests/test_graph.py | import numpy as np
import pytest
from sklearn.metrics import euclidean_distances
from sklearn.neighbors import KNeighborsTransformer, RadiusNeighborsTransformer
from sklearn.neighbors._base import _is_sorted_by_data
from sklearn.utils._testing import assert_array_equal
def test_transformer_result():
# Test the n... | 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/neighbors/tests/__init__.py | sklearn/neighbors/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/neighbors/tests/test_nca.py | sklearn/neighbors/tests/test_nca.py | """
Testing for Neighborhood Component Analysis module (sklearn.neighbors.nca)
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import re
import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal, assert_array_equal
from scipy.optimize import check_grad
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/neighbors/tests/test_ball_tree.py | sklearn/neighbors/tests/test_ball_tree.py | import itertools
import numpy as np
import pytest
from numpy.testing import assert_allclose, assert_array_almost_equal, assert_equal
from sklearn.neighbors._ball_tree import BallTree, BallTree32, BallTree64
from sklearn.utils import check_random_state
from sklearn.utils._testing import _convert_container
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/neighbors/tests/test_nearest_centroid.py | sklearn/neighbors/tests/test_nearest_centroid.py | """
Testing for the nearest centroid module.
"""
import numpy as np
import pytest
from sklearn import datasets
from sklearn.neighbors import NearestCentroid
from sklearn.utils._testing import (
assert_allclose,
assert_array_almost_equal,
assert_array_equal,
)
from sklearn.utils.fixes import CSR_CONTAINERS... | 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/covariance/_robust_covariance.py | sklearn/covariance/_robust_covariance.py | """
Robust location and covariance estimators.
Here are implemented estimators that are resistant to outliers.
"""
# 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 linalg
from scipy.stats import ch... | 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/covariance/_graph_lasso.py | sklearn/covariance/_graph_lasso.py | """GraphicalLasso: sparse inverse covariance estimation with an l1-penalized
estimator.
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import operator
import sys
import time
import warnings
from numbers import Integral, Real
import numpy as np
from scipy import linalg
from sklear... | 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/covariance/_elliptic_envelope.py | sklearn/covariance/_elliptic_envelope.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from numbers import Real
import numpy as np
from sklearn.base import OutlierMixin, _fit_context
from sklearn.covariance._robust_covariance import MinCovDet
from sklearn.metrics import accuracy_score
from sklearn.utils._param_validation im... | 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/covariance/_empirical_covariance.py | sklearn/covariance/_empirical_covariance.py | """
Maximum likelihood covariance estimator.
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
# avoid division truncation
import warnings
import numpy as np
from scipy import linalg
from sklearn import config_context
from sklearn.base import BaseEstimator, _fit_context
from sklear... | 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/covariance/__init__.py | sklearn/covariance/__init__.py | """Methods and algorithms to robustly estimate covariance.
They estimate the covariance of features at given sets of points, as well as the
precision matrix defined as the inverse of the covariance. Covariance estimation is
closely related to the theory of Gaussian graphical models.
"""
# Authors: The scikit-learn 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/covariance/_shrunk_covariance.py | sklearn/covariance/_shrunk_covariance.py | """
Covariance estimators using shrinkage.
Shrinkage corresponds to regularising `cov` using a convex combination:
shrunk_cov = (1-shrinkage)*cov + shrinkage*structured_estimate.
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
# avoid division truncation
import warnings
from numbe... | 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/covariance/tests/test_robust_covariance.py | sklearn/covariance/tests/test_robust_covariance.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import itertools
import numpy as np
import pytest
from sklearn import datasets
from sklearn.covariance import MinCovDet, empirical_covariance, fast_mcd
from sklearn.utils._testing import assert_array_almost_equal
X = datasets.load_iris()... | 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/covariance/tests/test_graphical_lasso.py | sklearn/covariance/tests/test_graphical_lasso.py | """Test the graphical_lasso module."""
import sys
from io import StringIO
import numpy as np
import pytest
from numpy.testing import assert_allclose
from scipy import linalg
from sklearn import config_context, datasets
from sklearn.covariance import (
GraphicalLasso,
GraphicalLassoCV,
empirical_covarianc... | 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/covariance/tests/__init__.py | sklearn/covariance/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/covariance/tests/test_elliptic_envelope.py | sklearn/covariance/tests/test_elliptic_envelope.py | """
Testing for Elliptic Envelope algorithm (sklearn.covariance.elliptic_envelope).
"""
import numpy as np
import pytest
from sklearn.covariance import EllipticEnvelope
from sklearn.exceptions import NotFittedError
from sklearn.utils._testing import (
assert_almost_equal,
assert_array_almost_equal,
assert... | 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/covariance/tests/test_covariance.py | sklearn/covariance/tests/test_covariance.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import numpy as np
import pytest
from sklearn import datasets
from sklearn.covariance import (
OAS,
EmpiricalCovariance,
LedoitWolf,
ShrunkCovariance,
empirical_covariance,
ledoit_wolf,
ledoit_wolf_shrinkage,
... | 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/feature_extraction/image.py | sklearn/feature_extraction/image.py | """Utilities to extract features from images."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from itertools import product
from numbers import Integral, Number, Real
import numpy as np
from numpy.lib.stride_tricks import as_strided
from scipy import sparse
from sklearn.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/feature_extraction/_stop_words.py | sklearn/feature_extraction/_stop_words.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
# This list of English stop words is taken from the "Glasgow Information
# Retrieval Group". The original list can be found at
# http://ir.dcs.gla.ac.uk/resources/linguistic_utils/stop_words
ENGLISH_STOP_WORDS = frozenset(
[
"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/feature_extraction/_hash.py | sklearn/feature_extraction/_hash.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from itertools import chain
from numbers import Integral
import numpy as np
import scipy.sparse as sp
from sklearn.base import BaseEstimator, TransformerMixin, _fit_context
from sklearn.feature_extraction._hashing_fast import transform as... | 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/feature_extraction/__init__.py | sklearn/feature_extraction/__init__.py | """Feature extraction from raw data."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from sklearn.feature_extraction import image, text
from sklearn.feature_extraction._dict_vectorizer import DictVectorizer
from sklearn.feature_extraction._hash import FeatureHasher
from sklearn.featu... | 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/feature_extraction/text.py | sklearn/feature_extraction/text.py | """Utilities to build feature vectors from text documents."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import array
import re
import unicodedata
import warnings
from collections import defaultdict
from collections.abc import Mapping
from functools import partial
from numbers 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/feature_extraction/_dict_vectorizer.py | sklearn/feature_extraction/_dict_vectorizer.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from array import array
from collections.abc import Iterable, Mapping
from numbers import Number
from operator import itemgetter
import numpy as np
import scipy.sparse as sp
from sklearn.base import BaseEstimator, TransformerMixin, _fit_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/feature_extraction/tests/test_feature_hasher.py | sklearn/feature_extraction/tests/test_feature_hasher.py | import numpy as np
import pytest
from numpy.testing import assert_array_equal
from sklearn.feature_extraction import FeatureHasher
from sklearn.feature_extraction._hashing_fast import transform as _hashing_transform
def test_feature_hasher_dicts():
feature_hasher = FeatureHasher(n_features=16)
assert "dict" ... | 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/feature_extraction/tests/test_image.py | sklearn/feature_extraction/tests/test_image.py | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import numpy as np
import pytest
from scipy import ndimage
from scipy.sparse.csgraph import connected_components
from sklearn.feature_extraction.image import (
PatchExtractor,
_extract_patches,
extract_patches_2d,
grid_to_g... | 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/feature_extraction/tests/test_text.py | sklearn/feature_extraction/tests/test_text.py | import pickle
import re
import uuid
import warnings
from collections import defaultdict
from collections.abc import Mapping
from functools import partial
from io import StringIO
from itertools import product
import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal, assert_array_equal
from s... | python | BSD-3-Clause | 6dce55ebff962076625db46ab70b6b1c939f423b | 2026-01-04T14:38:25.175347Z | true |
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