Hi there I'm pretty new to learning machine and apache mahout as well so pardon me if this question is not too correct :)
I'm in a street routing project where, beside other functionalities, we have to make forecasts. Precisely we should be able in forecasting the medium speed in a street in a well know period season (e.g we should be able in answering to this kind of question: on the american route 66 what will be the medium speed in spring 2015?) As far as I know in order to offer this functionality we should use some learning machine; this is the reason I'm checking mahout (moreover we need to guarantee high performance and since mahout is based on Apache hadoop and since it uses Map/Reduce, it seems to me very amazing) The first question I'ld love to do is: can I use Apache mahout in order to implement the previously written funcionality? If I can use it sure I'll need some data in order to "train" mahout....can I train mahout in a different time respect to when i need the prevision? I mean: can I make the train let's say every week at 10pm and then offer the forecasting functionality only when a user is interested in it? Should I store the training result in some way? And the last, but not the least :), always if I can use mahout....which algoritm should I use in order to implement my scenario? Thank you for the help and pardon me if i was not too much corrected Angelo
