class_docstr: A class representing probability distributions.
class_docstr_tok: ["A","class","representing","probability","distributions","."]
docstr: Return the value of the cumulative distribution function evaluated at x
docstr_tok: ["Return","the","value","of","the","cumulative","distribution","function","evaluated","at","x"]
code: def cdf(self, x: Tensor) -> Tensor:
      r"""
      Return the value of the cumulative distribution function evaluated at x
      """
      raise NotImplementedError()
  
imports: from typing import cast, Any, List, Optional, Tuple
  import mxnet
  import numpy
  from mxnet import autograd
  from gluonts.mx import Tensor
label_desc: Use image node_id 18 for calling the Distribution obj's underlying member method code with example usage: obj.cdf(x) without return types