class_docstr: The 'MinMax' scales the input data using a min-max approach along the
  specified axis.
code: def __init__(self, *args, **kwargs):
      super().__init__(*args, **kwargs)
  
imports: from typing import Tuple, Optional
  import mxnet.ndarray
  from mxnet.gluon import nn
  from gluonts.core.component import validated
  from gluonts.mx import Tensor
label_desc: Use image node_id 1 to create a new MinMax object from inherited base classes: Scaler with example: obj = MinMax()