tl;dr: H2O and LiblineaR have nearly identical predictive performance. Overview In this blog, we examine the single-node implementations of L2-regularized logistic regression (LR) by H2O and LiblineaR. Both LibR and H2O are driven from the R console on the same hardware and evaluated on the same datasets. We compare regression coefficients and behavior (AUC, Precision, […]

For those of you who missed our recent meetup at Vendavo, our data scientist Earl Hathaway, CTO & Architect of Distributed Gradient Boosting, Cliff Click spoke on GBM that was (without exaggeration) totally awesome! Eric, the Algorithms and Data Science guru at Vendavo and their hacker-CEO, Neil Lustig, have been partnering with us doing terrific […]

This is a walk through of running H2O through R. Before you get started you will need three things: R (a recent version), H2O (wich you can get through github: https://github.com/0xdata/h2o) or directly from our website: http://0xdata.com/h2O/, and the h2oWrapper R package, which is the tool that makes H2O talk to R, and lets you talk to […]

Thursday night (September 26) at 7, resident Math Hackers will demonstrate hands on attitude combined with un-encumbered brain-power. Wielding powerful 0xdata machine learning technology at their fingertips, they will show you how to pull predictions from a gigantic distributed heap of Java built vectors. Bring your laptop, we have WIFI and a helping spirit. If […]

Gradient Boosting Machine in III Acts: Dr. Trevor Hastie, Netflix & 0xdata. Triple Header on Boosting & GBM: Act I: Trevor Hastie, Of Stanford Mathematical Sciences, the mathematician behind Lasso & GBM speaks of the nuances of the Algorithm. Act II: Cliff Click, CTO of 0xdata, the implementor of parallel and distributed GBM. Act III: […]

Since we've been fooling around with the MNIST data set quite a bit lately (Spence is using it in benchmarking), I've been following the leaderboard and methods for the ongoing Kaggle competition around the same data.  It's really amazing to see what people come up with. But of course, the purpose of H2O is entirely […]

Last week Spencer put together a great hands on for modeling data using H2O (http://www.meetup.com/H2Omeetup/).  This post is a write-up of the workflow for generating an RF model on MNIST data for those of you who want to walk through the demo again, or maybe missed the live action version.  I’m running through one of […]

Thursday night (August 29) at 7, resident math hacker Spencer A. is leading a hands on workshop on using H2O to analyze real-world data. For those of you who are new to the math side of H2O, we have notes below to help you get prepared. H2O is a distributed math platform featuring a set […]