oo
> Music dataset (> 700M ratings) and a synthetic dataset generated from
> Netflix with 25M users and more than 5 billion ratings.
>
> Best,
> Sebastian
>
--
刘鎏
> If you post your exact results, I could comment more specifically. Without
> more details, I really can't answer your question in any specific way.
>
> On Wed, Jan 18, 2012 at 9:39 AM, 刘鎏 wrote:
>
> > Hi,
> > When I run QRDecomposition in mahout , I find the r
I think, if your input vector is a set, the ele.get() should be used,
instead, if your input vector is a sparse vector, the ele.index() would be
used.
Pls correct me if I'm wrong.
for (int i = 0; i < numHashFunctions; i++) {
for (Vector.Element ele : featureVector) {
/// Shouldn't the foll
Hi, all
I notice that in RowWeightMapper of RowSimilarityJob, if the input vector is
sparsevector, only non-zero column is write out. If the input matrix is
like:
user1, user2
item1 10
item2 01
then output of RowWeightMapper should be {user1:item1} and {user2:item2}
