code: def create_linear_noise() -> Gaussian:
      return Gaussian(scale=Linear())
  
imports: from typing import Callable
  import numpy
  import pytest
  from check_shapes import ShapeChecker
  import gpflow
  from gpflow import default_float
  from gpflow.base import AnyNDArray, RegressionData
  from gpflow.functions import Linear
  from gpflow.kernels import Kernel
  from gpflow.likelihoods import Gaussian
  from gpflow.models import GPR, GPRFITC, SGPR, SVGP, VGP, GPModel, training_loss_closure
  from gpflow.models.util import InducingPointsLike
label_desc: Use image node_id 3 for calling a global function with example usage: create_linear_noise() and returns: Gaussian