Skip to content

Material for open source machine learning practical

Notifications You must be signed in to change notification settings

rmax-archive/mlss_2015

This branch is up to date with amueller/mlss_2015:master.

Folders and files

NameName
Last commit message
Last commit date

Latest commit

063b252 · Sep 15, 2015

History

30 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Machine Learning Open Source Software

Notebooks / material for the machine learning software practical.

This tutorial covers some of the tools provided by scikit-learn, as well as an introduction to pystruct.

You need at least scikit-learn v0.15 and ipython v3.0 for this practical. If you don't already have an installation, I recommend using the anaconda distribution: http://continuum.io/downloads

For the last part, you will also need pystruct, which you can install using

pip install pystruct

If it errors on installing PyQPBO or AD3, don't worry too much.

Check out the documentation of scikit-learn at http://scikit-learn.org/dev/documentation.html and pystruct at http://pystruct.github.io

About

Material for open source machine learning practical

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 94.5%
  • Python 5.5%