Yup, that is true and a reasonable clarification of the doc. On Thu, 23 Mar 2017 at 00:03 chris snow <chsnow...@gmail.com> wrote:
> The documentation for collaborative filtering is as follows: > > === > Scaling of the regularization parameter > > Since v1.1, we scale the regularization parameter lambda in solving > each least squares problem by the number of ratings the user generated > in updating user factors, or the number of ratings the product > received in updating product factors. > === > > I find this description confusing, probably because I lack a detailed > understanding of ALS. The wording suggest that the number of ratings > change ("generated", "received") during solving the least squares. > > This is how I think I should be interpreting the description: > > === > Since v1.1, we scale the regularization parameter lambda when solving > each least squares problem. When updating the user factors, we scale > the regularization parameter by the total number of ratings from the > user. Similarly, when updating the product factors, we scale the > regularization parameter by the total number of ratings for the > product. > === > > Have I understood this correctly? > > --------------------------------------------------------------------- > To unsubscribe e-mail: user-unsubscr...@spark.apache.org > >