The academic group I am a part of have developed an adaptive or active machine learning system. This code is being used by the New Yorker to run their caption contest (example contest at [1]). It tries to find the funniest caption and uses previous answers to decide which question to ask next.
The code used to create this contest is a mess. Developing a new experiment type (not a new algorithm) meant copying and pasting roughly 1500 lines and changing 20.
We have since rewritten it to make it much better, and the shared code is in only one file. Developing a new experiment type is only 120 lines of code now :)
The academic group I am a part of have developed an adaptive or active machine learning system. This code is being used by the New Yorker to run their caption contest (example contest at [1]). It tries to find the funniest caption and uses previous answers to decide which question to ask next.
The code used to create this contest is a mess. Developing a new experiment type (not a new algorithm) meant copying and pasting roughly 1500 lines and changing 20.
We have since rewritten it to make it much better, and the shared code is in only one file. Developing a new experiment type is only 120 lines of code now :)
[1]:http://www.newyorker.com/cartoons/vote