This scikit-sparse a companion to the scipy.sparse library for
sparse matrix manipulation in Python. It provides routines that are
not suitable for inclusion in scipy.sparse proper, usually because
they are GPL'ed.
For more details on usage see the docs.
For pip installs of scikit-sparse depend on the suite-sparse library which can be installed via:
# mac
brew install suite-sparse
# debian
sudo apt-get install libsuitesparse-devThen, scikit-sparse can be installed via pip:
pip install scikit-sparseIf you suite-sparse library is installed in a non-standard place and you get errors when installing with pip you can use the environment
variables:
SUITESPARSE_INCLUDE_DIRSUITESPARSE_LIBRARY_DIR
at runtime so the compiler can find them. For example, lets say your suite-sparse installation is in /opt/local then you can run
SUITESPARSE_INCLUDE_DIR=/opt/local/include SUITESPARSE_LIBRARY_DIR=/opt/local/lib pip install scikit-sparseThe conda package comes with suite-sparse packaged as a dependency so all you need to do is:
conda install -c conda-forge scikit-sparseThis was tested with a Anaconda 3 installation and Python 3.8
-
Install requirements
conda install -c conda-forge cython- tested with v0.29.32conda install -c conda-forge suitesparse- tested with v5.4.0- optional (included in the build dependencies of
scikit-sparse):conda install -c conda-forge numpy- tested with v1.23.2conda install -c conda-forge scipy- tested with v1.9.1
-
Download Microsoft Build Tools for C++ from https://visualstudio.microsoft.com/de/visual-cpp-build-tools/ (tested with 2022, should work with 2015 or newer)
-
Install Visual Studio Build Tools
- Choose Workloads
- Check "Desktop development with C++"
- Keep standard settings
-
Run in a Powershell
$env:SUITESPARSE_INCLUDE_DIR='C:/Anaconda3/envs/<YOUR ENVIRONMENT NAME HERE>/Library/include/suitesparse'$env:SUITESPARSE_LIBRARY_DIR='C:/Anaconda3/envs/<YOUR ENVIRONMENT NAME HERE>/Library/lib'pip install scikit-sparse
-
Test
from sksparse.cholmod import cholesky
The wrapper code contained in this package is released under a 2-clause BSD license, as per below. However, this applies only to the original code contained in this package, and NOT to the libraries (e.g., CHOLMOD) which it uses. These libraries are generally licensed under less permissive licenses, such as the GNU GPL or LGPL, and users of this package are responsible for determining what requirements these licenses impose on their usage. (The intent here is that if you, for example, buy a license to use CHOLMOD in a commercial product, then you can also go ahead and use our wrapper code with your commercial license.)
Copyright (c) 2009-2017, the scikit-sparse developers
scikits-sparse
Copyright (c) 2009-2017, the scikit-sparse 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.
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
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