class_docstr: Kernel Density Estimator
  
  Parameters
  ----------
  x : array_like
      N-dimensional array from which the density is to be estimated
  kernel : Kernel Class
      Should be a class from *
code: def evaluate(self, x, h="silverman"):
      density = self.kernel.density
      return np.array([density(xx) for xx in x])
  
file_path: statsmodels/statsmodels/sandbox/nonparametric/kde2.py
imports: from statsmodels.compat.python import lzip
  import numpy
  from statsmodels.tools.validation import array_like
  from .None import kernels
label_desc: Use image node_id 4 for calling the KDE obj's underlying member method code with example usage: obj.evaluate(x, h) and returns: np