Hi Remi,
This has latest 19x19.pgn and some tools to make bayes.html.
http://www.yss-aya.com/20210112cgos_bin.tar.bz2
I got these tools from Joshua Shriver.
Thanks,
Hiroshi Yamashita
Hi Hiroshi,
I tried to compile my old code, but it turns out to be a bit too
complicated because it was us
Hi Hiroshi,
I tried to compile my old code, but it turns out to be a bit too
complicated because it was using tensorflow. I am not using tensorflow any
more, and don't want to try to reinstall and recompile it. But I would like
to try to take a look at the data. Can I download it anywhere? Can you
Hi Hiroshi,
Thanks for your work. In both lists CrazyStone-18.04 is ahead of
CrazyStone-81-TitV, which is really completely wrong.
I will reconnect CrazyStone-18.04 soon. It may help to adjust things a
little bit.
Rémi
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Comp
Hi,
Deleting losing on time games, and deleting losing on time games and same
program matches are follows.
19x19 BayesElo (deleting losing on time games)
http://www.yss-aya.com/cgos/19x19/bayes_20210109_del_timeout.html
19x19 BayesElo (deleting losing on time games and same program matches)
htt
Hi Remi,
I agree with you losing on time against weak program is bad effect for ratings.
And I think same program matches with different playouts, like 400 playouts vs
800 playouts are worse.
There are too many Leela Zero vs Leela Zero, and recently KataGo vs KataGo.
Maybe for human, current top
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Hi,
I trained a much stronger 19x19 network for Crazy Stone in December, and
connected it to CGOS yesterday. It is winning almost 100% of its games
against the version I connected 3 years ago, and still has a lower rating.
It seems there has been a very big drift of ratings.
Even the Bayeselo lis
