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Add sizespeed for RFP, drop vestigial paragraph

Open dmbates opened this issue 3 years ago • 3 comments

  • Re-ran the movie ratings models with rectangular full packed (RFP) storage of L[2,2].
  • Added figures and discussion of the impact of RFP
  • Deleted a vestigial paragraph at the end of largescaleobserved.qmd
  • This version is more for discussion and to see where we should go than it is a final version.
  • Should we incorporate the movie classifications (Comedy, Drama, etc.) as fixed-effects?

dmbates avatar Oct 12 '22 19:10 dmbates

@dmbates I think it makes sense to add some fixed effects. It might even be a nice way to show that the random effects are by far the biggest computational burden -- the fixed effects aren't free, but they're comparatively cheap.

palday avatar Oct 13 '22 01:10 palday

Can we leave this as a draft for a couple of days? I would like to make one more attempt at speeding up rankUpdate! with RFP and sparse.

dmbates avatar Oct 13 '22 15:10 dmbates

Can we leave this as a draft for a couple of days?

@dmbates fine with me -- no rush from my side

palday avatar Oct 13 '22 22:10 palday