class_docstr: Population-Based Training, also known as Lamarckism or Meta-Optimization.
code: def value(self, x):
      y = self.unflatten(x)
      return sum(
          f(xi - o) for f, xi, o in zip(self._funcs, y, self._optima)
      )
  
file_path: nevergrad/nevergrad/functions/pbt.py
imports: import itertools
  import typing
  import numpy
  from nevergrad.parametrization import parameter
  from .base import ExperimentFunction
  from .None import corefuncs
label_desc: Use image node_id 3 for calling the PBT obj's underlying member method code with example usage: obj.value(x) and returns: sum