class_docstr: A class representing probability distributions.
class_docstr_tok: ["A","class","representing","probability","distributions","."]
code: def slice_axis(
      self, axis: int, begin: int, end: Optional[int]
  ) -> "Distribution":
      index: List[Any]
      if axis >= 0:
          index = [slice(None)] * axis + [slice(begin, end)]
      else:
          index = [Ellipsis, slice(begin, end)] + [slice(None)] * (
              -axis - 1
          )
      return self[tuple(index)]
  
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 22 for calling the Distribution obj's underlying member method code with example usage: obj.slice_axis(axis, begin, end) and returns: self