def __init__(self, played, legals):
self.played = played # analysed_move
self.legals = sorted(
legals, key=methodcaller('sort_val')) # list(analysed_move)
self.best_eval = bounded_eval(self.legals[0].sort_val())
self.best_scaled_eval = bounded_eval(
scaled_eval(self.legals[0].sort_val()))
def actual_scaled_error(self):
return abs(self.best_scaled_eval -
bounded_eval(scaled_eval(self.played.sort_val())))
def top_five_scaled_sd(self):
return np.std(
list(
bounded_eval(scaled_eval(i.sort_val()))
for i in self.legals[:5])).item()