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@dbtsai Thanks for the good suggestions. I rearranged the test suites,
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changing some of the methods around. I also added t
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ping @dbtsai! Code freeze is upcoming :)
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@dbtsai Let me know your thoughts on the comments I left. Thanks for the
review!
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re-ping @dbtsai @MLnick @yanboliang I still think this is an important
patch :D
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ping @imatiach-msft @dbtsai
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pinging other potential reviewers @jkbradley @srowen @MLnick I think this
is an important patch for multiclass logistic regression.
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ping @dbtsai :)
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@sethah Oh..I miss it..
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What are you going to add? `compressed` already exists on vectors...
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@sethah I think this is a good idea, I am going to add the same method to
Vector, since high dimension data training on LIR/LOR with L1 reg, compressed
coeffs storage will make the algo broadca
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Github user sethah commented on the issue:
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I'm not sure I understand why there are MiMa failures. It should not be a
problem that the new methods only exist in the current version AFAIK.
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Github user sethah commented on the issue:
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cc @dbtsai @yanboliang
**Note for reviewers**: The driving need behind this change is that we now
have multiclass logistic regression which represents coefficients as a matrix.
When we use
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