dislib

Big Data Distributed Computing BSC Group: Computer Sciences Software
dislib is a distributed computing library highly focused on machine learning on top of PyCOMPSs. Inspired by NumPy and scikit-learn, dislib provides various supervised and unsupervised learning algorithms through an easy-to-use API.
Software Author: 
Workflows and Distributed Computing Group
Contact:

Javier Conejero (javier.conejero@bsc.es)

Rosa M. Badia (rosa.m.badia@bsc.es)

 

License: 

Apache License (Version 2.0)

Primary tabs

0.9.0 (Latest Version)

New dislib version

Release Notes

New features

  • New RandomSVD algorithm
  • New LanczosSVD algorithm
  • New distributed versions of Random Forest Classifier and Random Forest Regressor
  • New nested versions of Random Forest Classifier and Random Forest Regressor
  • Included a version of TeraSort algorithm

Changed

  • New documentation for SVD algorithm, RF and TeraSort

Fixed

  • Fix bugs & tests

Old Versions

0.8.0

0.7.1

0.7.0

0.6.4

0.6.3

0.6.2

0.6.1

0.6.0

0.5.0

0.4.0

0.3.0

0.2.0

Oldest Version