how does that relate the inverse of the matrix?
On Thu, Jun 23, 2011 at 5:53 PM, Ted Dunning <[email protected]> wrote: > Inverting a matrix is a bug. > > You should always use a decomposition method to solve a linear system. QR > is usually a good candidate. > > On Thu, Jun 23, 2011 at 8:19 AM, Sebastian Schelter (JIRA) > <[email protected]>wrote: > >> >> [ >> https://issues.apache.org/jira/browse/MAHOUT-737?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13053918#comment-13053918] >> >> Sebastian Schelter commented on MAHOUT-737: >> ------------------------------------------- >> >> I had a quick look at the patch, seems like most of the stuff could also be >> handled by Mahout's matrix code. There's only one issue, do we have code to >> invert a matrix? >> >> > Implicit Alternating Least Squares SVD >> > -------------------------------------- >> > >> > Key: MAHOUT-737 >> > URL: https://issues.apache.org/jira/browse/MAHOUT-737 >> > Project: Mahout >> > Issue Type: Improvement >> > Reporter: Tamas Jambor >> > Assignee: Sebastian Schelter >> > Attachments: MAHOUT-737.patch, MAHOUT-737.patch >> > >> > >> > I am sharing this Java implementation of mine that is based on the paper >> - Collaborative Filtering with Implicit Datasets. The implementation is >> multi-treading and can be easily extended to use it on Hadoop. In fact this >> approach would possibly work with non-implicit datasets, but further testing >> is needed. The algorithm is tried and tested on an implicit TV-viewing >> dataset, and the performance was pretty good (details to follow). >> >> -- >> This message is automatically generated by JIRA. >> For more information on JIRA, see: http://www.atlassian.com/software/jira >> >> >> >
