scikit-learn@0.24.1

A set of python modules for machine learning and data mining

2021-01-19 Python >=3.11 wheel sdist
安装 (0.24.1)
pip install scikit-learn==0.24.1
poetry add scikit-learn==0.24.1
pipenv install scikit-learn==0.24.1
conda install scikit-learn=0.24.1
依赖 (58)
依赖
numpy>=1.24.1
scipy>=1.10.0
joblib>=1.4.0
narwhals>=2.0.1
threadpoolctl>=3.5.0
numpy>=1.24.1; extra == "build"
scipy>=1.10.0; extra == "build"
cython>=3.1.2; extra == "build"
meson-python>=0.17.1; extra == "build"
numpy>=1.24.1; extra == "install"
scipy>=1.10.0; extra == "install"
joblib>=1.4.0; extra == "install"
narwhals>=2.0.1; extra == "install"
threadpoolctl>=3.5.0; extra == "install"
matplotlib>=3.6.1; extra == "benchmark"
pandas>=1.5.0; extra == "benchmark"
memory_profiler>=0.57.0; extra == "benchmark"
matplotlib>=3.6.1; extra == "docs"
scikit-image>=0.22.0; extra == "docs"
pandas>=1.5.0; extra == "docs"
rich>=14.1.0; extra == "docs"
seaborn>=0.13.0; extra == "docs"
memory_profiler>=0.57.0; extra == "docs"
sphinx>=7.3.7; extra == "docs"
sphinx-copybutton>=0.5.2; extra == "docs"
sphinx-gallery>=0.17.1; extra == "docs"
numpydoc>=1.2.0; extra == "docs"
Pillow>=12.1.1; extra == "docs"
pooch>=1.8.0; extra == "docs"
sphinx-prompt>=1.4.0; extra == "docs"
sphinxext-opengraph>=0.9.1; extra == "docs"
plotly>=5.22.0; extra == "docs"
polars>=0.20.30; extra == "docs"
sphinx-design>=0.6.0; extra == "docs"
sphinxcontrib-sass>=0.3.4; extra == "docs"
pydata-sphinx-theme>=0.15.3; extra == "docs"
sphinx-remove-toctrees>=1.0.0.post1; extra == "docs"
towncrier>=24.8.0; extra == "docs"
matplotlib>=3.6.1; extra == "examples"
scikit-image>=0.22.0; extra == "examples"
pandas>=1.5.0; extra == "examples"
rich>=14.1.0; extra == "examples"
seaborn>=0.13.0; extra == "examples"
pooch>=1.8.0; extra == "examples"
plotly>=5.22.0; extra == "examples"
matplotlib>=3.6.1; extra == "tests"
pandas>=1.5.0; extra == "tests"
rich>=14.1.0; extra == "tests"
pytest>=7.1.2; extra == "tests"
pytest-cov>=2.9.0; extra == "tests"
ruff>=0.12.2; extra == "tests"
mypy>=1.15; extra == "tests"
pyamg>=5.0.0; extra == "tests"
polars>=0.20.30; extra == "tests"
pyarrow>=13.0.0; extra == "tests"
numpydoc>=1.2.0; extra == "tests"
pooch>=1.8.0; extra == "tests"
conda-lock==3.0.1; extra == "maintenance"
下载文件
文件名类型Python 版本大小
scikit_learn-0.24.1-cp36-cp36m-macosx_10_13_x86_64.whl bdist_wheel cp36 7203516 bytes
scikit_learn-0.24.1-cp36-cp36m-manylinux1_i686.whl bdist_wheel cp36 18920542 bytes
scikit_learn-0.24.1-cp36-cp36m-manylinux1_x86_64.whl bdist_wheel cp36 19967690 bytes
scikit_learn-0.24.1-cp36-cp36m-manylinux2010_i686.whl bdist_wheel cp36 21059779 bytes
scikit_learn-0.24.1-cp36-cp36m-manylinux2010_x86_64.whl bdist_wheel cp36 22232685 bytes
scikit_learn-0.24.1-cp36-cp36m-manylinux2014_aarch64.whl bdist_wheel cp36 23976847 bytes
scikit_learn-0.24.1-cp36-cp36m-win32.whl bdist_wheel cp36 6057739 bytes
scikit_learn-0.24.1-cp36-cp36m-win_amd64.whl bdist_wheel cp36 6791538 bytes
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scikit_learn-0.24.1-cp37-cp37m-manylinux2014_aarch64.whl bdist_wheel cp37 24014603 bytes
scikit_learn-0.24.1-cp37-cp37m-win32.whl bdist_wheel cp37 6061772 bytes
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scikit_learn-0.24.1-cp38-cp38-win_amd64.whl bdist_wheel cp38 6878276 bytes
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scikit_learn-0.24.1-cp39-cp39-manylinux2014_aarch64.whl bdist_wheel cp39 25519922 bytes
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scikit_learn-0.24.1-cp39-cp39-win_amd64.whl bdist_wheel cp39 6869096 bytes
scikit-learn-0.24.1.tar.gz sdist source 7399074 bytes
版本列表
1.9.0 2026-06-02
1.9.0rc1 2026-05-20
1.8.0 2025-12-10
1.8.0rc1 2025-11-26
1.7.2 2025-09-09
1.7.1 2025-07-18
1.7.0 2025-06-05
1.7.0rc1 2025-05-09
1.6.1 2025-01-10
1.6.0 2024-12-09
1.6.0rc1 2024-11-15
1.5.2 2024-09-11
1.5.1 2024-07-03
1.5.0 2024-05-21
1.5.0rc1 2024-05-06
1.4.2 2024-04-09
1.4.1.post1 2024-02-16
1.4.0 2024-01-18
1.4.0rc1 2023-12-20
1.3.2 2023-10-23
1.3.1 2023-09-21
1.3.0 2023-06-30
1.3.0rc1 2023-06-15
1.2.2 2023-03-09
1.2.1 2023-01-24
1.2.0 2022-12-08
1.2.0rc1 2022-11-28
1.1.3 2022-10-26
1.1.2 2022-08-05
1.1.1 2022-05-19
1.1.0 2022-05-12
1.0.2 2021-12-25
1.0.1 2021-10-25
1.0 2021-09-24
0.24.2 2021-04-28
0.24.1 2021-01-19
0.24.0 2020-12-22
0.23.2 2020-08-04
0.23.1 2020-05-19
0.23.0 2020-05-12
0.22.2 2020-02-28
0.22.2.post1 2020-03-04
0.22.1 2020-01-02
0.22 2019-12-03
0.21.3 2019-07-30
0.21.2 2019-05-24
0.21.1 2019-05-15
0.21.0 2019-05-10
0.20.4 2019-07-30
0.20.3 2019-03-01
0.20.2 2018-12-19
0.20.1 2018-11-23
0.20.0 2018-09-26
0.19.2 2018-07-15
0.19.1 2017-10-23
0.19.0 2017-08-11
0.18.2 2017-06-21
0.18.1 2016-11-13
0.18 2016-09-28
0.17.1 2016-02-18
0.17 2015-11-05
0.16.1 2015-04-14
0.16.0 2015-03-27
0.15.2 2014-11-06
0.15.1 2014-08-28
0.15.0 2014-07-15
0.14.1 2013-08-09
0.14 2013-08-09
0.13.1 2013-02-23
0.13 2013-01-21
0.12.1 2012-10-08
0.12 2012-09-04
0.11 2012-05-08
0.10 2012-01-11
0.9 2011-09-22