Gaussian graphical models with skggm - implementation -

Jason just sent me the following:

Hi Igor, 

I hope this message finds you well. I saw you recently ventured into startup world, fun! 

I'm writing to let you know about a new python package that Manjari Narayan and I recently published and thought it might be relevant for the Nuit Blanche community. If so, we'd love for you to post about it. Links below. 

tour: https://jasonlaska.github.io/skggm/tour 

code: https://github.com/jasonlaska/skggm 

cheers, Jason

 Sure Jason ! The page starts with: 

Gaussian graphical models with skggm

Graphical models combine graph theory and probability theory to create networks that model complex probabilistic relationships. Inferring such networks is a statistical problem in areas such as systems biology, neuroscience, psychometrics, and finance.

 The rest is here.

Join the CompressiveSensing subreddit or the Google+ Community or the Facebook page and post there !
Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email, explore the Big Picture in Compressive Sensing or the Matrix Factorization Jungle and join the conversations on compressive sensing, advanced matrix factorization and calibration issues on Linkedin.