* Elo gain and competition results:
With this release, version 5 of the NNUE neural net architecture
has been introduced, and the training data has been extended to
include Fischer random chess (FRC) positions. As a result, Elo
gains are largest for FRC, reaching up to 50 Elo for doubly
randomized FRC (DFRC). More importantly, also for standard chess
this release progressed and will win two times more game pairs than
it loses against Stockfish 15.
* New evaluation:
This release also introduces a new convention for the evaluation
that is reported by search. An evaluation of +1 is now no longer
tied to the value of one pawn, but to the likelihood of winning the
game. With a +1 evaluation, Stockfish has now a 50% chance of winning
the game against an equally strong opponent. This convention scales
down evaluations a bit compared to Stockfish 15 and allows for
consistent evaluations in the future.
- Refresh:
* date.patch
* stockfish-remove-net.patch
- Remove nn-6877cd24400e.nnue
- Add nn-ad9b42354671.nnue
OBS-URL: https://build.opensuse.org/package/show/games/stockfish?expand=0&rev=29
Stockfish 15 continues to push the boundaries of chess, providing
unrivalled analysis and playing strength. In our testing, Stockfish
15 is ahead of Stockfish 14 by 36 Elo points and wins nine times
more game pairs than it loses.
- Add stockfish-remove-net.patch: Don't try to donwload nnue
we already have it.
OBS-URL: https://build.opensuse.org/package/show/games/stockfish?expand=0&rev=27
