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Floyd

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==Evaluation==
Floyd's [[Evaluation|evaluation]] employs a vector of feature and weight pairs to calculate a [[Score|score]] as [https://en.wikipedia.org/wiki/Weighted_sum_model weighted sum]. In conjunction with a draw model <ref>[https://github.com/kervinck/floyd/blob/master/Docs/drawModel.txt floyd/drawModel.txt at master · kervinck/floyd · GitHub]</ref> using [https://en.wikipedia.org/wiki/Sigmoid_function sigmoid functions], the score is mapped to [[Pawn Advantage, Win Percentage, and ELOElo|winning probabilities]], suited for [[Automated Tuning#LogisticRegression|logistic regression]] tuning.
<pre>
def evaluate(board, wiloVector, drawVector):

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