Running analysis on the right data!

Published: July 09, 2013

min read

Written by: H2O.ai Team

All in the day:
Anqi Fu, our wickedly smart Math & Data Science hacker-intern from Stanford this summer, was characterizing GLMNet in R on sparse data and comparing with other tools. We were using a data sets predicting Two Bedroom median rent based on neighborhoods from huduser.org.
DATA : http://www.huduser.org/portal/datasets/fmr/CensusRentData/index.html

She found the analysis brisk and surprisingly fast.. Until we got around to checking the data matrix and the factor
call. Most of the data was missing! So she exclaimed:

[Credits to Addletters.org & Matt Groenig for the Simpsons]

Results of her work “Characterizing GLMNet on Sparse Matrices”, will have to wait for a future post!

H2O.ai Team

At H2O.ai, democratizing AI isn’t just an idea. It’s a movement. And that means that it requires action. We started out as a group of like minded individuals in the open source community, collectively driven by the idea that there should be freedom around the creation and use of AI.

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