class_docstr: A distribution generated by applying a sequence of transformations to
  a base distribution/
  
  Parameters
  ----------
  base_dist : Distribution
      Base distribution
  transforms : Transformation or List
      Transformation to be applied
code: def sample_n(self, size=None):
      x = self._base_dist.sample_n(size)
      for t in self._transforms:
          x = t(x)
      return x
  
file_path: mxnet/python/mxnet/gluon/probability/distributions/transformed_distribution.py
imports: from ..transformation import Transformation
  from .distribution import Distribution
  from .utils import sum_right_most
  from ....None import np
label_desc: Use image node_id 3 for calling the TransformedDistribution obj's underlying member method code with example usage: obj.sample_n(size) and returns: x