Update acquisition function scaling for constrained optimization

Author: till-m

bayes_opt/util.py

@@ -69,7 +69,7 @@ def to_minimize(x):
  if target < 0:
  return target * p_constraint
  else:
- return target / (0.5 + p_constraint)
+ return target / (0.5 + 0.5 * p_constraint)
  else:
  to_minimize = lambda x: -ac(x.reshape(1, -1), gp=gp, y_max=y_max)