code: def _set_outputscale(self, value):
      if not torch.is_tensor(value):
          value = torch.as_tensor(value).to(self.raw_outputscale)
  
      self.initialize(
          raw_outputscale=self.outputscale_constraint.inverse_transform(
              value
          )
      )
  
file_path: gpytorch/gpytorch/kernels/newton_girard_additive_kernel.py
imports: from typing import Optional, Tuple
  import torch
  from linear_operator import to_dense
  from ..constraints import Positive
  from .kernel import Kernel
label_desc: Use image node_id 4 for calling the NewtonGirardAdditiveKernel obj's underlying member method code with example usage: obj._set_outputscale(value) without return types