class_docstr: Create a laplace distribution object.
  
  Parameters
  ----------
  loc : Tensor or scalar, default 0
      mean of the distribution.
  scale : Tensor or scalar, default 1
      scale of the distribution
class_docstr_tok: ["Create","a","laplace","distribution","object",".","Parameters","--","--","--","--","--","loc",":","Tensor","or","scalar",",","default","0","mean","of","the","distribution",".","scale",":","Tensor","or","scalar",",","default","1","scale","of","the","distribution"]
code: def entropy(self):
      return 1 + np.log(2 * self.scale)
  
file_path: mxnet/python/mxnet/gluon/probability/distributions/laplace.py
imports: from .constraint import Real, Positive
  from .distribution import Distribution
  from .utils import sample_n_shape_converter
  from ....None import np
label_desc: Use image node_id 11 for calling the Laplace obj's underlying member method code with example usage: obj.entropy() and returns: unknown