freebsd-ports/math/vowpal_wabbit/distinfo

SHA256 (vowpal_wabbit/7.9.tar.gz) = 2e16eceed03ed624663044c28569aa52e387b8cd199445e953d13b05c0a1eaf9
SIZE (vowpal_wabbit/7.9.tar.gz) = 8850729
New port: vowpal_wabbit. The Vowpal Wabbit (VW) project is a fast out-of-core learning system sponsored by Microsoft Research and (previously) Yahoo! Research. There are two ways to have a fast learning algorithm: (a) start with a slow algorithm and speed it up, or (b) build an intrinsically fast learning algorithm. This project is about approach (b), and it's reached a state where it may be useful to others as a platform for research and experimentation. There are several optimization algorithms available with the baseline being sparse gradient descent (GD) on a loss function (several are available). WWW: https://github.com/JohnLangford/vowpal_wabbit/wiki 2015-01-15 13:00:58 +00:00			`SHA256 (vowpal_wabbit/7.9.tar.gz) = 2e16eceed03ed624663044c28569aa52e387b8cd199445e953d13b05c0a1eaf9`
			`SIZE (vowpal_wabbit/7.9.tar.gz) = 8850729`