Any suggestions / ideas here ?
On Sun, Jul 24, 2016 at 12:19 AM, VG <vlin...@gmail.com> wrote: > Sean, > > I did this just to test the model. When I do a split of my data as > training to 80% and test to be 20% > > I get a Root-mean-square error = NaN > > So I am wondering where I might be going wrong > > Regards, > VG > > On Sun, Jul 24, 2016 at 12:12 AM, Sean Owen <so...@cloudera.com> wrote: > >> No, that's certainly not to be expected. ALS works by computing a much >> lower-rank representation of the input. It would not reproduce the >> input exactly, and you don't want it to -- this would be seriously >> overfit. This is why in general you don't evaluate a model on the >> training set. >> >> On Sat, Jul 23, 2016 at 7:37 PM, VG <vlin...@gmail.com> wrote: >> > I am trying to run ml.ALS to compute some recommendations. >> > >> > Just to test I am using the same dataset for training using ALSModel >> and for >> > predicting the results based on the model . >> > >> > When I evaluate the result using RegressionEvaluator I get a >> > Root-mean-square error = 1.5544064263236066 >> > >> > I thin this should be 0. Any suggestions what might be going wrong. >> > >> > Regards, >> > Vipul >> > >
