docstr: Build a Normalization model wrapper.
  param model: basic forecaster model.
  :param output_feature_dim: Specify the output dimension.
docstr_tok: ["Build","a","Normalization","model","wrapper",".","param","model",":","basic","forecaster","model",".",":","param","output_feature_dim",":","Specify","the","output","dimension","."]
code: def __init__(self, model, output_feature_dim):
      """
      Build a Normalization model wrapper.
      param model: basic forecaster model.
      :param output_feature_dim: Specify the output dimension.
      """
      super(NormalizeTSModel, self).__init__()
      self.model = model
      self.output_feature_dim = output_feature_dim
  
imports: from bigdl.nano.tf.keras import Model
label_desc: Use image node_id 1 to create a new NormalizeTSModel object from inherited base classes: Model with example: obj = NormalizeTSModel(model, output_feature_dim)