Thanks for this Charly. Code would be great if you don't mind. Much appreciated!
- Matt On Fri, Oct 5, 2012 at 10:05 AM, Charly Lizarralde <[email protected]> wrote: > 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 >> >>> >> >> >> >> >>
