I wish you knew the history of H2O's attempts to make a decent product. H2O, the open-source project, was largely created by H2O the company's technical co-foun

I wish you knew the history of H2O's attempts to make a decent product. H2O, the open-source project, was largely created by H2O the company's technical co-founder, Cliff Click, who was forced out of the company more than a year ago for internal political reasons. With him, H2O lost much of its ability to develop and extend its code base, particularly since Cliff built many things in house that might have better been dependencies. That's why Steam never happened. Now H2O is mostly marketing, an overfunded startup in slow decline that was forced to fire its sales team last year because, well, nobody wants their stuff. https://venturebeat.com/2016/09/24/machine-learning-startup-h2o-lays-off-10-of-employees/ https://venturebeat.com/2016/09/24/machine-learning-startup-... H2O is not nearly as fast as SMILE by most metrics: http://haifengl.github.io/smile/ http://haifengl.github.io/smile/ https://github.com/haifengl/smile https://github.com/haifengl/smile But what I'm saying is that true gains are seen for algorithms that require more parallelization than H2O's specialties. It's a critique of the relative improvements.