The recommendation capabilities are the best integrated and most interchangeable parts of Mahout.
You should be able to start with entirely on-line recommendations and switch to off-line methods fairly transparently as you scale. In addition, you should be able to use off-line precomputation with hadoop and still use non-hadoop based methods for experiments. Sean should probably comment on the details, but I am pretty sure that the statement above is a good summary. 2010/7/4 Matthias Böhmer <[email protected]> > Yes, right! I have an non-Hadoop implementation using the API and I am > wondering which steps I have to take to move to a Hadoop-based > implementation. It seems like I have to change my application code, > right? Or is there a way to keep my application code as it is, e.g. > for running tests without Hadoop. > > 2010/7/2 Ted Dunning <[email protected]>: > > By this, do you mean migrate from using the Mahout recommendation > framework > > without hadoop to using the Mahout recommendation framework with Hadoop? > > > > On Fri, Jul 2, 2010 at 8:26 AM, <[email protected]> wrote: > > > >> However, I am currently looking for an easy way of how to migrate to > >> Hadoop. > > > > > > -- > -- >
