Removing unwanted docs

  Here is a simple example of code that uses the LCNNModel with

  Platinum 2d Adsorption dataset.

  >> import deepchem as dc

  >> tasks, datasets, transformers = dc.molnet.load_Platinum_Adsorption()

  >> train, valid, test = datasets

  >> model = dc.models.LCNNModel(mode='regression', batch_size=8, learning_rate=0.001)

  >> model.fit(train, nb_epoch=10)

  This model takes arbitrary configurations of Molecules on an adsorbate and predicts

  their formation energy. These formation energies are found using DFT calculations and

  LCNNModel is to automate that process. This model defines a crystal graph using the