add read me

venv/lib/python3.12/site-packages/scikit_learn-1.7.2.dist-info/INSTALLER

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+pip

venv/lib/python3.12/site-packages/scikit_learn-1.7.2.dist-info/METADATA

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+Metadata-Version: 2.4
+Name: scikit-learn
+Version: 1.7.2
+Summary: A set of python modules for machine learning and data mining
+Maintainer-Email: scikit-learn developers <scikit-learn@python.org>
+License-Expression: BSD-3-Clause
+License-File: COPYING
+Classifier: Intended Audience :: Science/Research
+Classifier: Intended Audience :: Developers
+Classifier: Programming Language :: C
+Classifier: Programming Language :: Python
+Classifier: Topic :: Software Development
+Classifier: Topic :: Scientific/Engineering
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Operating System :: Microsoft :: Windows
+Classifier: Operating System :: POSIX
+Classifier: Operating System :: Unix
+Classifier: Operating System :: MacOS
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3.10
+Classifier: Programming Language :: Python :: 3.11
+Classifier: Programming Language :: Python :: 3.12
+Classifier: Programming Language :: Python :: 3.13
+Classifier: Programming Language :: Python :: Implementation :: CPython
+Project-URL: homepage, https://scikit-learn.org
+Project-URL: source, https://github.com/scikit-learn/scikit-learn
+Project-URL: download, https://pypi.org/project/scikit-learn/#files
+Project-URL: tracker, https://github.com/scikit-learn/scikit-learn/issues
+Project-URL: release notes, https://scikit-learn.org/stable/whats_new
+Requires-Python: >=3.10
+Requires-Dist: numpy>=1.22.0
+Requires-Dist: scipy>=1.8.0
+Requires-Dist: joblib>=1.2.0
+Requires-Dist: threadpoolctl>=3.1.0
+Provides-Extra: build
+Requires-Dist: numpy>=1.22.0; extra == "build"
+Requires-Dist: scipy>=1.8.0; extra == "build"
+Requires-Dist: cython>=3.0.10; extra == "build"
+Requires-Dist: meson-python>=0.17.1; extra == "build"
+Provides-Extra: install
+Requires-Dist: numpy>=1.22.0; extra == "install"
+Requires-Dist: scipy>=1.8.0; extra == "install"
+Requires-Dist: joblib>=1.2.0; extra == "install"
+Requires-Dist: threadpoolctl>=3.1.0; extra == "install"
+Provides-Extra: benchmark
+Requires-Dist: matplotlib>=3.5.0; extra == "benchmark"
+Requires-Dist: pandas>=1.4.0; extra == "benchmark"
+Requires-Dist: memory_profiler>=0.57.0; extra == "benchmark"
+Provides-Extra: docs
+Requires-Dist: matplotlib>=3.5.0; extra == "docs"
+Requires-Dist: scikit-image>=0.19.0; extra == "docs"
+Requires-Dist: pandas>=1.4.0; extra == "docs"
+Requires-Dist: seaborn>=0.9.0; extra == "docs"
+Requires-Dist: memory_profiler>=0.57.0; extra == "docs"
+Requires-Dist: sphinx>=7.3.7; extra == "docs"
+Requires-Dist: sphinx-copybutton>=0.5.2; extra == "docs"
+Requires-Dist: sphinx-gallery>=0.17.1; extra == "docs"
+Requires-Dist: numpydoc>=1.2.0; extra == "docs"
+Requires-Dist: Pillow>=8.4.0; extra == "docs"
+Requires-Dist: pooch>=1.6.0; extra == "docs"
+Requires-Dist: sphinx-prompt>=1.4.0; extra == "docs"
+Requires-Dist: sphinxext-opengraph>=0.9.1; extra == "docs"
+Requires-Dist: plotly>=5.14.0; extra == "docs"
+Requires-Dist: polars>=0.20.30; extra == "docs"
+Requires-Dist: sphinx-design>=0.5.0; extra == "docs"
+Requires-Dist: sphinx-design>=0.6.0; extra == "docs"
+Requires-Dist: sphinxcontrib-sass>=0.3.4; extra == "docs"
+Requires-Dist: pydata-sphinx-theme>=0.15.3; extra == "docs"
+Requires-Dist: sphinx-remove-toctrees>=1.0.0.post1; extra == "docs"
+Requires-Dist: towncrier>=24.8.0; extra == "docs"
+Provides-Extra: examples
+Requires-Dist: matplotlib>=3.5.0; extra == "examples"
+Requires-Dist: scikit-image>=0.19.0; extra == "examples"
+Requires-Dist: pandas>=1.4.0; extra == "examples"
+Requires-Dist: seaborn>=0.9.0; extra == "examples"
+Requires-Dist: pooch>=1.6.0; extra == "examples"
+Requires-Dist: plotly>=5.14.0; extra == "examples"
+Provides-Extra: tests
+Requires-Dist: matplotlib>=3.5.0; extra == "tests"
+Requires-Dist: scikit-image>=0.19.0; extra == "tests"
+Requires-Dist: pandas>=1.4.0; extra == "tests"
+Requires-Dist: pytest>=7.1.2; extra == "tests"
+Requires-Dist: pytest-cov>=2.9.0; extra == "tests"
+Requires-Dist: ruff>=0.11.7; extra == "tests"
+Requires-Dist: mypy>=1.15; extra == "tests"
+Requires-Dist: pyamg>=4.2.1; extra == "tests"
+Requires-Dist: polars>=0.20.30; extra == "tests"
+Requires-Dist: pyarrow>=12.0.0; extra == "tests"
+Requires-Dist: numpydoc>=1.2.0; extra == "tests"
+Requires-Dist: pooch>=1.6.0; extra == "tests"
+Provides-Extra: maintenance
+Requires-Dist: conda-lock==3.0.1; extra == "maintenance"
+Description-Content-Type: text/x-rst
+
+.. -*- mode: rst -*-
+
+|Azure| |Codecov| |CircleCI| |Nightly wheels| |Ruff| |PythonVersion| |PyPi| |DOI| |Benchmark|
+
+.. |Azure| image:: https://dev.azure.com/scikit-learn/scikit-learn/_apis/build/status/scikit-learn.scikit-learn?branchName=main
+   :target: https://dev.azure.com/scikit-learn/scikit-learn/_build/latest?definitionId=1&branchName=main
+
+.. |CircleCI| image:: https://circleci.com/gh/scikit-learn/scikit-learn/tree/main.svg?style=shield
+   :target: https://circleci.com/gh/scikit-learn/scikit-learn
+
+.. |Codecov| image:: https://codecov.io/gh/scikit-learn/scikit-learn/branch/main/graph/badge.svg?token=Pk8G9gg3y9
+   :target: https://codecov.io/gh/scikit-learn/scikit-learn
+
+.. |Nightly wheels| image:: https://github.com/scikit-learn/scikit-learn/actions/workflows/wheels.yml/badge.svg?event=schedule
+   :target: https://github.com/scikit-learn/scikit-learn/actions?query=workflow%3A%22Wheel+builder%22+event%3Aschedule
+
+.. |Ruff| image:: https://img.shields.io/badge/code%20style-ruff-000000.svg
+   :target: https://github.com/astral-sh/ruff
+
+.. |PythonVersion| image:: https://img.shields.io/pypi/pyversions/scikit-learn.svg
+   :target: https://pypi.org/project/scikit-learn/
+
+.. |PyPi| image:: https://img.shields.io/pypi/v/scikit-learn
+   :target: https://pypi.org/project/scikit-learn
+
+.. |DOI| image:: https://zenodo.org/badge/21369/scikit-learn/scikit-learn.svg
+   :target: https://zenodo.org/badge/latestdoi/21369/scikit-learn/scikit-learn
+
+.. |Benchmark| image:: https://img.shields.io/badge/Benchmarked%20by-asv-blue
+   :target: https://scikit-learn.org/scikit-learn-benchmarks
+
+.. |PythonMinVersion| replace:: 3.10
+.. |NumPyMinVersion| replace:: 1.22.0
+.. |SciPyMinVersion| replace:: 1.8.0
+.. |JoblibMinVersion| replace:: 1.2.0
+.. |ThreadpoolctlMinVersion| replace:: 3.1.0
+.. |MatplotlibMinVersion| replace:: 3.5.0
+.. |Scikit-ImageMinVersion| replace:: 0.19.0
+.. |PandasMinVersion| replace:: 1.4.0
+.. |SeabornMinVersion| replace:: 0.9.0
+.. |PytestMinVersion| replace:: 7.1.2
+.. |PlotlyMinVersion| replace:: 5.14.0
+
+.. image:: https://raw.githubusercontent.com/scikit-learn/scikit-learn/main/doc/logos/scikit-learn-logo.png
+  :target: https://scikit-learn.org/
+
+**scikit-learn** is a Python module for machine learning built on top of
+SciPy and is distributed under the 3-Clause BSD license.
+
+The project was started in 2007 by David Cournapeau as a Google Summer
+of Code project, and since then many volunteers have contributed. See
+the `About us <https://scikit-learn.org/dev/about.html#authors>`__ page
+for a list of core contributors.
+
+It is currently maintained by a team of volunteers.
+
+Website: https://scikit-learn.org
+
+Installation
+------------
+
+Dependencies
+~~~~~~~~~~~~
+
+scikit-learn requires:
+
+- Python (>= |PythonMinVersion|)
+- NumPy (>= |NumPyMinVersion|)
+- SciPy (>= |SciPyMinVersion|)
+- joblib (>= |JoblibMinVersion|)
+- threadpoolctl (>= |ThreadpoolctlMinVersion|)
+
+=======
+
+Scikit-learn plotting capabilities (i.e., functions start with ``plot_`` and
+classes end with ``Display``) require Matplotlib (>= |MatplotlibMinVersion|).
+For running the examples Matplotlib >= |MatplotlibMinVersion| is required.
+A few examples require scikit-image >= |Scikit-ImageMinVersion|, a few examples
+require pandas >= |PandasMinVersion|, some examples require seaborn >=
+|SeabornMinVersion| and plotly >= |PlotlyMinVersion|.
+
+User installation
+~~~~~~~~~~~~~~~~~
+
+If you already have a working installation of NumPy and SciPy,
+the easiest way to install scikit-learn is using ``pip``::
+
+    pip install -U scikit-learn
+
+or ``conda``::
+
+    conda install -c conda-forge scikit-learn
+
+The documentation includes more detailed `installation instructions <https://scikit-learn.org/stable/install.html>`_.
+
+
+Changelog
+---------
+
+See the `changelog <https://scikit-learn.org/dev/whats_new.html>`__
+for a history of notable changes to scikit-learn.
+
+Development
+-----------
+
+We welcome new contributors of all experience levels. The scikit-learn
+community goals are to be helpful, welcoming, and effective. The
+`Development Guide <https://scikit-learn.org/stable/developers/index.html>`_
+has detailed information about contributing code, documentation, tests, and
+more. We've included some basic information in this README.
+
+Important links
+~~~~~~~~~~~~~~~
+
+- Official source code repo: https://github.com/scikit-learn/scikit-learn
+- Download releases: https://pypi.org/project/scikit-learn/
+- Issue tracker: https://github.com/scikit-learn/scikit-learn/issues
+
+Source code
+~~~~~~~~~~~
+
+You can check the latest sources with the command::
+
+    git clone https://github.com/scikit-learn/scikit-learn.git
+
+Contributing
+~~~~~~~~~~~~
+
+To learn more about making a contribution to scikit-learn, please see our
+`Contributing guide
+<https://scikit-learn.org/dev/developers/contributing.html>`_.
+
+Testing
+~~~~~~~
+
+After installation, you can launch the test suite from outside the source
+directory (you will need to have ``pytest`` >= |PyTestMinVersion| installed)::
+
+    pytest sklearn
+
+See the web page https://scikit-learn.org/dev/developers/contributing.html#testing-and-improving-test-coverage
+for more information.
+
+    Random number generation can be controlled during testing by setting
+    the ``SKLEARN_SEED`` environment variable.
+
+Submitting a Pull Request
+~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Before opening a Pull Request, have a look at the
+full Contributing page to make sure your code complies
+with our guidelines: https://scikit-learn.org/stable/developers/index.html
+
+Project History
+---------------
+
+The project was started in 2007 by David Cournapeau as a Google Summer
+of Code project, and since then many volunteers have contributed. See
+the `About us <https://scikit-learn.org/dev/about.html#authors>`__ page
+for a list of core contributors.
+
+The project is currently maintained by a team of volunteers.
+
+**Note**: `scikit-learn` was previously referred to as `scikits.learn`.
+
+Help and Support
+----------------
+
+Documentation
+~~~~~~~~~~~~~
+
+- HTML documentation (stable release): https://scikit-learn.org
+- HTML documentation (development version): https://scikit-learn.org/dev/
+- FAQ: https://scikit-learn.org/stable/faq.html
+
+Communication
+~~~~~~~~~~~~~
+
+Main Channels
+^^^^^^^^^^^^^
+
+- **Website**: https://scikit-learn.org
+- **Blog**: https://blog.scikit-learn.org
+- **Mailing list**: https://mail.python.org/mailman/listinfo/scikit-learn
+
+Developer & Support
+^^^^^^^^^^^^^^^^^^^^^^
+
+- **GitHub Discussions**: https://github.com/scikit-learn/scikit-learn/discussions
+- **Stack Overflow**: https://stackoverflow.com/questions/tagged/scikit-learn
+- **Discord**: https://discord.gg/h9qyrK8Jc8
+
+Social Media Platforms
+^^^^^^^^^^^^^^^^^^^^^^
+
+- **LinkedIn**: https://www.linkedin.com/company/scikit-learn
+- **YouTube**: https://www.youtube.com/channel/UCJosFjYm0ZYVUARxuOZqnnw/playlists
+- **Facebook**: https://www.facebook.com/scikitlearnofficial/
+- **Instagram**: https://www.instagram.com/scikitlearnofficial/
+- **TikTok**: https://www.tiktok.com/@scikit.learn
+- **Bluesky**: https://bsky.app/profile/scikit-learn.org
+- **Mastodon**: https://mastodon.social/@sklearn@fosstodon.org
+
+Resources
+^^^^^^^^^
+
+- **Calendar**: https://blog.scikit-learn.org/calendar/
+- **Logos & Branding**: https://github.com/scikit-learn/scikit-learn/tree/main/doc/logos
+
+Citation
+~~~~~~~~
+
+If you use scikit-learn in a scientific publication, we would appreciate citations: https://scikit-learn.org/stable/about.html#citing-scikit-learn

venv/lib/python3.12/site-packages/scikit_learn-1.7.2.dist-info/WHEEL

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+Wheel-Version: 1.0
+Generator: meson
+Root-Is-Purelib: false
+Tag: cp312-cp312-manylinux_2_17_x86_64
+Tag: cp312-cp312-manylinux2014_x86_64
+

venv/lib/python3.12/site-packages/scikit_learn-1.7.2.dist-info/licenses/COPYING

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+BSD 3-Clause License
+
+Copyright (c) 2007-2024 The scikit-learn developers.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+* Redistributions of source code must retain the above copyright notice, this
+  list of conditions and the following disclaimer.
+
+* Redistributions in binary form must reproduce the above copyright notice,
+  this list of conditions and the following disclaimer in the documentation
+  and/or other materials provided with the distribution.
+
+* Neither the name of the copyright holder nor the names of its
+  contributors may be used to endorse or promote products derived from
+  this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+----
+
+This binary distribution of scikit-learn also bundles the following software:
+
+----
+
+Name: GCC runtime library
+Files: scikit_learn.libs/libgomp*.so*
+Availability: https://gcc.gnu.org/git/?p=gcc.git;a=tree;f=libgomp
+
+GCC RUNTIME LIBRARY EXCEPTION
+
+Version 3.1, 31 March 2009
+
+Copyright (C) 2009 Free Software Foundation, Inc. <http://fsf.org/>
+
+Everyone is permitted to copy and distribute verbatim copies of this
+license document, but changing it is not allowed.
+
+This GCC Runtime Library Exception ("Exception") is an additional
+permission under section 7 of the GNU General Public License, version
+3 ("GPLv3"). It applies to a given file (the "Runtime Library") that
+bears a notice placed by the copyright holder of the file stating that
+the file is governed by GPLv3 along with this Exception.
+
+When you use GCC to compile a program, GCC may combine portions of
+certain GCC header files and runtime libraries with the compiled
+program. The purpose of this Exception is to allow compilation of
+non-GPL (including proprietary) programs to use, in this way, the
+header files and runtime libraries covered by this Exception.
+
+0. Definitions.
+
+A file is an "Independent Module" if it either requires the Runtime
+Library for execution after a Compilation Process, or makes use of an
+interface provided by the Runtime Library, but is not otherwise based
+on the Runtime Library.
+
+"GCC" means a version of the GNU Compiler Collection, with or without
+modifications, governed by version 3 (or a specified later version) of
+the GNU General Public License (GPL) with the option of using any
+subsequent versions published by the FSF.
+
+"GPL-compatible Software" is software whose conditions of propagation,
+modification and use would permit combination with GCC in accord with
+the license of GCC.
+
+"Target Code" refers to output from any compiler for a real or virtual
+target processor architecture, in executable form or suitable for
+input to an assembler, loader, linker and/or execution
+phase. Notwithstanding that, Target Code does not include data in any
+format that is used as a compiler intermediate representation, or used
+for producing a compiler intermediate representation.
+
+The "Compilation Process" transforms code entirely represented in
+non-intermediate languages designed for human-written code, and/or in
+Java Virtual Machine byte code, into Target Code. Thus, for example,
+use of source code generators and preprocessors need not be considered
+part of the Compilation Process, since the Compilation Process can be
+understood as starting with the output of the generators or
+preprocessors.
+
+A Compilation Process is "Eligible" if it is done using GCC, alone or
+with other GPL-compatible software, or if it is done without using any
+work based on GCC. For example, using non-GPL-compatible Software to
+optimize any GCC intermediate representations would not qualify as an
+Eligible Compilation Process.
+
+1. Grant of Additional Permission.
+
+You have permission to propagate a work of Target Code formed by
+combining the Runtime Library with Independent Modules, even if such
+propagation would otherwise violate the terms of GPLv3, provided that
+all Target Code was generated by Eligible Compilation Processes. You
+may then convey such a combination under terms of your choice,
+consistent with the licensing of the Independent Modules.
+
+2. No Weakening of GCC Copyleft.
+
+The availability of this Exception does not imply any general
+presumption that third-party software is unaffected by the copyleft
+requirements of the license of GCC.