Scott Lundberg

See https://github.com/dmlc/xgboost/blob/master/doc/parameter.md and the multi:softprob objective for how a vector output would be handled (as a flattened matrix). However a deeper question is what you expect to happen in the...

Deep learning API's often allow vector output because they share parameters during such multitask learning. My guess is since GBM's don't typically do this, running separate models is the most...

Same issue with Zlib: ``` julia > GZip.zlib_version "1.2.3" > length(readlines(Zlib.Reader(open("/tmp/orig.gz")))) 172 ``` I should also note that when I compress the file using the gzip from the command line...

One further update...read write read with Zlib works, but I don't know if it's just because I may have chosen a different compression level than GZip uses by default. ```...

Matching compression levels at 6 creates the issue with GZip but not Zlib. It also looks like it could be the zlib version. I can't change that on the server...

Thanks for being responsive on this! I ran a bunch of random tests and found a random file that had the same error after about 20k tries. https://www.dropbox.com/s/qppddaryvgcmenl/test?dl=0 Perhaps it...

I also ran this script on my macbook and found the same issue in a different random file, so I don't think the version is the issue. Perhaps you can...

Hi @ibehnam! To add my two cents here: ```python lm_1 += "What is the capital of France?" lm_2 += "What is the capital of France?" lm_2 += "The other model...

When you start doing interleaved constrained generation the line between input and output gets blurry, so we probably can't keep track of all outputs. However, perhaps it would be good...

hmm...I tried to reproduce this with mistral 7b and could not get violations. Can you try to reproduce with a model we can both use? thanks!