code: def sigmoid_radial_kernel(distance, bandwidth=1.0):
      """Sigmoid radial kernel.
  
      Parameters
      ----------
      distance : array-like
          Array of non-negative real values.
      bandwidth : float, optional (default=1.0)
          Positive scale parameter of the kernel.
  
      Returns
      -------
      weight : array-like
          Array of non-negative real values of the same shape than
          parameter 'distance'.
      """
      distance = _check_distance(distance)
      bandwidth = _check_bandwidth(bandwidth)
      scaled_distance = distance / bandwidth
      weight = 1 / (gs.exp(scaled_distance) + gs.exp(-scaled_distance))
      return weight
  
file_path: geomstats/geomstats/learning/radial_kernel_functions.py
imports: import geomstats.backend
label_desc: Use image node_id 12 for calling a global function with example usage: sigmoid_radial_kernel(distance, bandwidth) and returns: weight