text: """Analogy-making using MT-VAE on Human3.6M dataset."""
  
  from nets import h36m_mtvae_analogy_factory as model_factory
  from H36M_BaseAnalogyModel import BaseAnalogyModel
  
  class MTVAEAnalogyModel(BaseAnalogyModel):
    """Defines the MT-VAE analogy class."""
    def __init__(self, params):
      super(MTVAEAnalogyModel, self).__init__(params)
  
    def get_model_fn(self, is_training, reuse):
      return model_factory.get_model_fn(self._params, is_training, reuse)
  
  