Yes, i think this one is in terms of documentation. Wiki technically doesn't require annotation to be useful in describing method use though.
No plans for command line as of the moment as far as i know. What you would suggest people should see there in addition to what they cannot see on wiki? > > When you're just trying out a package - especially one where a prime > benefit you're hoping for is scalability - and you hit an unadvertised > limit in scaling, there's a strong tendency to write off the entire > project as "not quite ready". Especially when you don't have a lot of > time dig into code to understand problems. > I am not sure about this. Mahout is very much like R or sciPy, i.e. a data representation framework that glues a collection of methods ranging widely in their performance (and, in this case, yes, maturity, that's why it is not a 1.0 project yet). I see what you are saying but in the same time I also cannot figure why would anybody be tempted to write off an R as a whole just because some of its numerous packages provides an implementation that scales less or less accurate than other implementations in R. Also as far as i understand advices against Naive Bayes are generally not due to quality of its implementation in Mahout but are rather based on characteristics of this method as opposed to SGD and the stated problem. NB is easy to implement and that's why it's popular, but not because it is a swiss army knife. Therefore, they generally would be true Mahout or not. -D
