code: def optimizers_with(self, **kwargs) -> [non_linear.NonLinearOptimizer]:
          
          return [phase.optimizer for phase in self.phases_with(**kwargs)]
docs: Load a list of optimizers for phases in the directory with zero or more filters applied.
  
          Parameters
          ----------
          kwargs
              Filters, e.g. pipeline=pipeline1
  
          Returns
          -------
          optimizers
              A list of optimizers, one for each phase in the directory that matches the filters.