Skip to main content
Join the official 2020 Python Developers SurveyStart the survey!

Bayesian Factorization Methods

Project description

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for smurff, version 0.16.0
Filename, size File type Python version Upload date Hashes
Filename, size smurff-0.16.0-cp35-cp35m-macosx_10_9_x86_64.whl (6.8 MB) File type Wheel Python version cp35 Upload date Hashes View
Filename, size smurff-0.16.0-cp35-cp35m-manylinux2014_x86_64.whl (12.2 MB) File type Wheel Python version cp35 Upload date Hashes View
Filename, size smurff-0.16.0-cp36-cp36m-macosx_10_9_x86_64.whl (6.8 MB) File type Wheel Python version cp36 Upload date Hashes View
Filename, size smurff-0.16.0-cp36-cp36m-manylinux2014_x86_64.whl (12.2 MB) File type Wheel Python version cp36 Upload date Hashes View
Filename, size smurff-0.16.0-cp37-cp37m-macosx_10_9_x86_64.whl (6.8 MB) File type Wheel Python version cp37 Upload date Hashes View
Filename, size smurff-0.16.0-cp37-cp37m-manylinux2014_x86_64.whl (12.2 MB) File type Wheel Python version cp37 Upload date Hashes View
Filename, size smurff-0.16.0-cp38-cp38-macosx_10_9_x86_64.whl (6.8 MB) File type Wheel Python version cp38 Upload date Hashes View
Filename, size smurff-0.16.0-cp38-cp38-manylinux2014_x86_64.whl (12.2 MB) File type Wheel Python version cp38 Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page