code: def __init__(self):
      super().__init__(active_dims=[0])
      self.variance = gpflow.Parameter(1.0, transform=positive())
  
file_path: GPflow/notebooks/tailor/kernel_design.pct.py
imports: import matplotlib.pyplot
  import numpy
  import tensorflow
  import gpflow
  from gpflow.utilities import positive, print_summary
label_desc: Use image node_id 1 to create a new Brownian object from inherited base classes: gpflow.kernels with example: obj = Brownian()