class_docstr: A class representing a hybrid approach of combining multiple
  representations into a single representation. Representations will be
  combined by concatenating them on dim=-1.
  
  Parameters
  ----------
  representations
      A list of representations. Elements must be of type Representation.
class_docstr_tok: ["A","class","representing","a","hybrid","approach","of","combining","multiple","representations","into","a","single","representation",".","Representations","will","be","combined","by","concatenating","them","on","dim=-1",".","Parameters","--","--","--","--","--","representations","A","list","of","representations",".","Elements","must","be","of","type","Representation","."]
code: def __init__(self, representations: List, *args, **kwargs):
      super().__init__(*args, **kwargs)
      self.representations = representations
      for representation in self.representations:
          self.register_child(representation)
  
file_path: gluonts/src/gluonts/mx/representation/hybrid_representation.py
imports: from typing import List, Optional, Tuple
  import mxnet
  import numpy
  from gluonts.core.component import validated
  from gluonts.dataset.common import Dataset
  from gluonts.mx import Tensor
  from gluonts.mx.context import get_mxnet_context
  from .representation import Representation
label_desc: Use image node_id 1 to create a new HybridRepresentation object from inherited base classes: Representation with example: obj = HybridRepresentation(representations)