Update

    Examples

    --------

    >>> import deepchem as dc

    >>> from deepchem.models import GCNModel

    >>> featurizer = dc.feat.MolGraphConvFeaturizer()

    >>> tasks, datasets, transformers = dc.molnet.load_tox21(

    ...     reload=False, featurizer=featurizer, transformers=[])

    >>> train, valid, test = datasets

    >>> model = dc.models.GCNModel(mode='classification', n_tasks=len(tasks),

    ...                            number_atom_features=30, batch_size=32, learning_rate=0.001)

    >>> model.fit(train, nb_epoch=50)

    >>>

    >> import deepchem as dc

    >> from deepchem.models import GCNModel

    >> featurizer = dc.feat.MolGraphConvFeaturizer()

    >> tasks, datasets, transformers = dc.molnet.load_tox21(

    ..     reload=False, featurizer=featurizer, transformers=[])

    >> train, valid, test = datasets

    >> model = dc.models.GCNModel(mode='classification', n_tasks=len(tasks),

    ..                            number_atom_features=30, batch_size=32, learning_rate=0.001)

    >> model.fit(train, nb_epoch=50)

    References

    ----------