I learnt H2O in a meetup group in this post. The demo and presentation were impressive. It’s been a while but I have always wanted to try it.
Ok, so I started with this page: https://github.com/h2oai/h2o-3
I must say it’s not the clearest instruction I’ve seen. I first installed using pip and conda. Import successful! And then use: h2o.init(ip=”localhost”, port=54323)
It’s pretty funny it says the version is too old. I just downloaded it!
(Failures: In between, I tried build which didn’t work. There was an error message about R. Then I tried install R. But the error message is still there. And the attempt to try to install h2o in R didn’t work either. It’s been so long since I used R!)
But actually, the easiest thing is to follow this page: http://h2o-release.s3.amazonaws.com/h2o/rel-ueno/7/index.html
After running the .jar file, use this http://localhost:54321 (they call it flow http://docs.h2o.ai/h2o/latest-stable/h2o-docs/flow.html).
There is a GUI for deep learning and data, etc. A bit like weka on steroids 😀
Tried using the deep learning example. Start:
The estimation of time is not that accurate.
And it’s pretty hard on the CPUs with default settings:
There are lots of other products on different platform from this company. More explorations to be done.