Scenario 1 : learning from a tourney...
We filter the games played with Eman :
We create an EXP file from the moves evaluated by Eman :
Stats of the CloneWars_2021.exp file :
pgnToEXPv2 (learning from PGN)
Re: pgnToEXPv2 (learning from PGN)
Get the openings from the CloneWars_2021.pgn file :
Content of the spcc_openings.pgn file :
Check if the CloneWars_2021.exp file can fill some weaknesses in our EXP file :
4 new openings covered !
Code: Select all
@echo PGN filename :
@echo (without .PGN extension)
@set /p pgn=
@echo max opening's moves :
@echo (ex : 12)
@set /p plies=
@pgn-extract.exe -s -Wuci -7 --plylimit %plies% -o%pgn%_temp.pgn %pgn%.pgn
@pgn-extract.exe -s -D --totalplycount --fixresulttags -o%pgn%_single.pgn %pgn%_temp.pgn
@del %pgn%_temp.pgn
@pause
Content of the spcc_openings.pgn file :
Check if the CloneWars_2021.exp file can fill some weaknesses in our EXP file :
4 new openings covered !
Re: pgnToEXPv2 (learning from PGN)
As the scores added to our EXP file come from an old version of Eman (6.93), we can use a more recent version of Eman (8.40) in order to reinforce them :
Re: pgnToEXPv2 (learning from PGN)
Scenario 2 : learning from other learnings...
We filter the games played with Eman :
We create an EXP file from the moves evaluated by Eman :
Stats of the "b50 d7d6.exp" file :
We filter the games played with Eman :
We create an EXP file from the moves evaluated by Eman :
Stats of the "b50 d7d6.exp" file :
Re: pgnToEXPv2 (learning from PGN)
We filter the games played with Eman :
We create an EXP file from the moves evaluated by Eman :
Stats of the "c50 f1c4.exp" file :
We create an EXP file from the moves evaluated by Eman :
Stats of the "c50 f1c4.exp" file :