Feed bayeselo with pure game results without PGN

[Guenther]

That's sad :)

If you would use Ordo you could use the additional ordoprep tool, which
strips off all moves and most headers of the pgn file.
It will leave only the players names and the result and can be processed
further with ordo then.
(AFAIK most people use Ordo anyway nowadays for rating calculation)
It is well documented and open source.)
Using ordoprep speeds up calculations a lot of course when using huge pgn files.

https://github.com/michiguel/Ordo
https://sites.google.com/site/gaviotachessengine/ordo

Strangely I cannot find a newer version of ordoprep than the one given
in the last link. Yet I have a newer one on my HD. If you need it I can send it.

Edit:

Reading Daniels last post which came inbetween it seems you could even use ordoprep and then still calculate the resulting file with bayeselo.
The ordoprep output will be like this:

Code: Select all

[White "Ace 01"]
[Black "MicroChess 1976"]
[Result "0-1"]
0-1

[Sergei S. Markoff]

Thank you!

But I have a multiple versions, so I need to fit their ratings.
My framework is based on genetical approach. The previous version was based on playing vs base version, but there are two problems: 1) if you will be able to use games of some sibligngs vs each other it will help you to save 50% of time, 2) when you're playing vs base version there is a problem of overfitting — some of your siblings can be successful vs base version but not successful vs broad range of opponents.

[Sergei S. Markoff]

Thank you!

I'm going to make a tool to feed results in a most compact form, for example:

engine1: {engine2: {w: {100/100/101}, b: {95/100/105}}, engine3: {w: 101/100/100, b: {96104}}
engine2: ...
etc

So instead of multiple games or game headers you will have just results. In the case you're having more than 10000 engines and several million games it seems to be the only way to store and process this data.