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///@todo make this depends on file! (/rank?) extern CONST_TEXEL_TUNING EvalScore doublePawnMalus ; extern CONST_TEXEL_TUNING EvalScore isolatedPawnMalus ; extern CONST_TEXEL_TUNING EvalScore backwardPawnMalus ;
But in fact I wonder if I cannot try a full 64 entry (x2 MG/EG, and x2 semi-open file or not) PST for backward, isolated and doubled pawn.
Because not only rank matters, file also.
Will I have enough tuning samples to optimize this 256x3 new coefficients ??
Another question is, does someone already try to mix zurichess data and the so called lichess-quiet data in order to get a bigger sample size ?