Classifier

For the past month, I’ve been pleasantly hacking my Cubieboard to try out several different things. This time, I wanna know how performant Cubieboard is. Benchmarks are configured in such a way to replicate a real Web Application. Preparing Here are the specs for my Cubieboard: AllWinner A10 ARM Single Core CPU 1 GB DDR3 @ 480 MHz 5V / 2A = 10 Watts SATA HD - 5400 RPM Cubian r7 - http://cubian.org 2 GB Swapfile (SATA HD) US$ 49 I’ve written a tutorial on how to install Cubian to a SATA HD here. The main reason why I’m doing a SATA HD Install for this is to preserve my micro-SD’s lifetime. We’re gonna be compiling and doing I/O intensive tasks so it’s best to delegate off the micro-SD card. ...

During the last week, I’ve been following up work with a side project to do machine learning with Urbanesia’s comprehensive data. A lot of late night reading and fiddling with foreign codes were the highlights of my last week. Wanted to elaborate my implementations and how several kinds of technologies affect benchmarks particularly with classification performance. The repo for the codes is at Github here. During time span of the first batch of codes until now, I have made lots of changes to the codes and also the data store. I wasn’t sure at first, which database will bring the best performance. I’m testing on a fairly low spec hardware which is a Macbook Air Late 2011 with 4 GB DDR3, SSD and Intel Core i5 1.7GHz, this is nothing compared to a real server relatively. By the way, although relatively low spec, she’s got a name, it’s Claire. ...