Based on the information you have provided, street routing is potentially a Vehicle Routing Problem which is based on TSPs. You can check out the below link: https://cwiki.apache.org/confluence/display/MAHOUT/Traveling+Salesman Secondly, if you want to use Mahout for Forecasting, it is not possible yet as the solution methodology for Forecasting (LWR) is still an open problem. https://cwiki.apache.org/confluence/display/MAHOUT/Algorithms
Bottomline: IMHO, you cannot use Mahout for forecasting at the moment; good luck with your project. Also, you can explore parallel computing paradigms if you have relatively high volumes of data. On 15 October 2013 12:19, Angelo Immediata <[email protected]> wrote: > 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 >
