class_docstr: Transform molecules from a latent space feature vector into
  a one hot encoding.
  https://arxiv.org/abs/1610.02415
class_docstr_tok: ["Transform","molecules","from","a","latent","space","feature","vector","into","a","one","hot","encoding",".","https",":","\/\/arxiv.org\/abs\/1610.02415"]
code: def fit(self, dataset, nb_epoch=10, batch_size=50, **kwargs):
      raise ValueError("Only can read in pre-trained models")
  
file_path: deepchem/contrib/autoencoder_models/autoencoder.py
imports: import warnings
  from deepchem.models import Model
  from deepchem.models.autoencoder_models.model import MoleculeVAE
  from deepchem.feat.one_hot import zinc_charset
  from deepchem.utils import download_url
  import os
  from subprocess import call
label_desc: Use image node_id 2 for calling the TensorflowMoleculeDecoder obj's underlying member method code with example usage: obj.fit(dataset, nb_epoch, batch_size) without return types