elbamos

Is there any way I can be further helpful here? I do want to point out that in prior versions of rstan, this did work properly. > On Aug 12,...

Thanks! Your description of the use case and proposal are correct. This is a correlation matrix, so both rows and columns are the same factor. What I’d like to be...

That would work, and it does help! I would suggest, however, that this is a special case that occurs often. Really, its any time you want to recover a correlation...

I think you only want to rename the second usage. So if some calls gather_draws(alpha[series], beta[series], Sigma[series, series]) what you get is a data frame of chain, iteration, etc., series,...

Curious why there still isn't a 2.12 build pushed to Maven?

Guys, was there ever a resolution to this? As @rudolfli's link shows, this is causing an issue downstream. If there's a workaround, I can implement it in that package?

With all of cuda/lib linked from /usr/local/lib, I get this from test.py, which one suspects would be related to the issue above: True Traceback (most recent call last): File "examples/test.py",...

No, I ended up forking a torch implementation of neural style. > On Apr 13, 2016, at 12:36 PM, nresnick [email protected] wrote: > > @elbamos Did you figure this out?...

Yes - fix confirmed, thanks!

I spoke too soon. While it compiles now, it seems like there may be a memory leak. Varying batch size and whether to use L2 regularization, I get cuda out...