Of course. I used the DataSetSplitter for spliting the datasets into training & probe.
I created a job very similar to the aggregateAndRecommender step of the RecommenderJob. I copied and modified the AggregateAndRecommendReducer.class to be EstimatePreferenceReducer.class that loads in the setup the probe dataset. If you want I can send you the code...but it's not very clean. On Fri, Oct 5, 2012 at 10:42 AM, Matt Mitchell <[email protected]> wrote: > Hi Charly. Would you mind showing, or at least describing how you did this? > > Thanks, > Matt > > On Fri, Oct 5, 2012 at 9:21 AM, Charly Lizarralde > <[email protected]> wrote: > > Finally I could manage to do that. It was not so difficult after all. I > > used that for calculating RMSE. > > > > Thanks! > > Charly > > > > On Wed, Oct 3, 2012 at 1:54 PM, Charly Lizarralde < > > [email protected]> wrote: > > > >> Thanks! I think I'll manage. > >> > >> On Wed, Oct 3, 2012 at 11:47 AM, Sean Owen <[email protected]> wrote: > >> > >>> Yes... you'd have to modify it a little though. The stage right before > >>> recommendation in the pipeline computes all the estimates, on which > >>> the results are ranked. You would just change this to output these > >>> all, or, just the ones you want. There's nothing out of the box that > >>> does this. > >>> > >>> On Wed, Oct 3, 2012 at 2:53 PM, Charly Lizarralde > >>> <[email protected]> wrote: > >>> > Is it possible to use RecommenderJob (Map Reduce/Item Based ) to > >>> estimate > >>> > preferences por specific <user,item> dataset ? > >>> > > >>> > Thanks! > >>> > Charly > >>> > >> > >> >
