In the course of some of my research, I wanted to test training models using some of the ranking methods in RankLib. Because of the specifics of my data, optimizing a correlation coefficient is much more useful than the metrics currently available. Since I've had success with SVMrank, I figured that I'd try Kendall's tau (if I understand correctly, SVMrank basically can be thought of as optimizing this). I implemented this in RankLib as a new metric (see here: https://github.com/smsaladi/ranklib-kendall...
In the course of some of my research, I wanted to test training models using some of the ranking methods in RankLib. Because of the specifics of my data, optimizing a correlation coefficient is much more useful than the metrics currently available. Since I've had success with SVMrank, I figured that I'd try Kendall's tau (if I understand correctly, SVMrank basically can be thought of as optimizing this). I implemented this in RankLib as a new metric (see here: https://github.com/smsaladi/ranklib-kendall...
Move data for test files into tests directory. ...
code formatting mostly
Change all ''' to """ to make consistent throug...
additional files (comment same as previous commit)
many changes
namespacing is good!