tensorflow_probability/python/optimizer/nelder_mead.py
def _accept_reflected_fn(simplex,
                         objective_values,
                         worst_index,
                         reflected,
                         objective_at_reflected):
  """Creates the condition function pair for a reflection to be accepted."""
  def _replace_worst_with_reflected():
    next_simplex = _replace_at_index(simplex, worst_index, reflected)
    next_objective_values = _replace_at_index(objective_values, worst_index,
                                              objective_at_reflected)
    return False, next_simplex, next_objective_values, 0
  return _replace_worst_with_reflected
def _accept_reflected_fn(simplex,
                         objective_values,
                         worst_index,
                         reflected,
                         objective_at_reflected):
  """Creates the condition function pair for a reflection to be accepted."""
  def _replace_worst_with_reflected():
    next_simplex = _replace_at_index(simplex, worst_index, reflected)
    next_objective_values = _replace_at_index(objective_values, worst_index,
                                              objective_at_reflected)
    return False, next_simplex, next_objective_values, 0
  return _replace_worst_with_reflected
def _accept_reflected_fn ( simplex , objective_values , worst_index , reflected , objective_at_reflected ) : def _replace_worst_with_reflected ( ) : next_simplex = _replace_at_index ( simplex , worst_index , reflected ) next_objective_values = _replace_at_index ( objective_values , worst_index , objective_at_reflected ) return False , next_simplex , next_objective_values , 0 return _replace_worst_with_reflected
Creates the condition function pair for a reflection to be accepted.
Creates the condition function pair for a reflection to be accepted .