class_docstr: The Gaussian (squared exponential) multivariate kernel.
code: def call(self, x, loc):
      return (
          np.exp(-((x - loc) ** 2) / (2 * self.bw2)).sum(1) / self.bwk
      )
  
imports: import numpy
  import scipy.sparse
  from scipy.sparse.linalg import svds
  from scipy.optimize import fminbound
  import warnings
  from statsmodels.tools.tools import Bunch
  from statsmodels.tools.sm_exceptions import IterationLimitWarning, iteration_limit_doc
label_desc: Use image node_id 1 for calling the GaussianMultivariateKernel obj's underlying member method code with example usage: obj.call(x, loc) and returns: unknown