Are you speaking specifically about the implementation in the .knn package, which is a fairly particular thing, or just a "k nearest neighbor" approaches in general? The latter aren't going away.
On Thu, Dec 6, 2012 at 3:18 PM, Koobas <[email protected]> wrote: > As a n00b, I am still revolving in the kNN space. > Could you please point me to some details on ALS. > Thanks! > > > On Thu, Dec 6, 2012 at 10:14 AM, Sean Owen <[email protected]> wrote: > >> The tree-based ones are very old and not fast, and were more of an >> experiment. I recall a few questions about them but it seemed like >> people were really just trying to do clustering, and this is a bad way >> to do clustering. >> >> knn is old too, and in a sense spiritually quite similar to ALS. I >> don't mind removing it either. >> >> It would seal it if there were even a nominal argument that this >> improves the rest of the code base -- less to maintain, removes >> duplication, inconsistency, etc. I could imagine that argument here. >> >> On Thu, Dec 6, 2012 at 3:06 PM, Sebastian Schelter <[email protected]> wrote: >> > Hi there, >> > >> > I'm currently thinking whether we should do a little cleanup in the >> > non-distributed recommenders package and throw out recommenders that >> > have not been used/asked about on the mailinglist or that have been >> > replaced by a superior implementation. >> > >> > If anyone reads this and sees a recommender, he/she wants to be kept, >> > please shout! >> > >> > /s >> > >> > Here's a list of suggested stuff to remove, let me know what you think: >> > >> > org.apache.mahout.cf.taste.impl.recommender.svd.FunkSVDFactorizer >> > >> > RatingSGDFactorizer should be learning faster and has a nicer model as >> > it includes user/item biases >> > >> > >> > >> org.apache.mahout.cf.taste.impl.recommender.svd.ImplicitLinearRegressionFactorizer >> > >> > Seems to be using the same model as ALSWRFactorizer, however there are >> > no tests and ALSWR can handle more explicit and implicit feedback >> > >> > >> > org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender >> > org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender2 >> > org.apache.mahout.cf.taste.impl.recommender.knn >> > >> > I don't recall anybody using those or asking about them the last years. >> > >> > >> > >>
