Metadata-Version: 2.1
Name: smurff
Version: 0.17.0
Summary: Bayesian Factorization Methods
Home-page: http://github.com/ExaScience/smurff
Author: Tom Vander Aa
Author-email: Tom.VanderAa@imec.be
License: MIT
Keywords: bayesian factorization machine-learning high-dimensional side-information
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: C++
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: h5sparse-tensor


Highly optimized and parallelized methods for
Bayesian Factorization, including BPMF and smurff. The package uses
optimized OpenMP/C++ code with a pybind11gq$ wrapper to factorize large
scale matrices. smurff method provides also the ability to incorporate
high-dimensional side information to the factorization.


