Fixed some names and imports

from deepchem.models.tensorflow_models.fcnet import TensorflowMultiTaskRegressor

from deepchem.models.tensorflow_models.fcnet import TensorflowMultiTaskClassifier

from deepchem.models.tensorflow_models.fcnet import TensorflowMultiTaskFitTransformRegressor

from deepchem.models.tensorflow_models.fcnet import TensorGraphMultiTaskRegressor

from deepchem.models.tensorflow_models.fcnet import TensorGraphMultiTaskClassifier

from deepchem.models.tensorflow_models.fcnet import TensorGraphMultiTaskFitTransformRegressor

from deepchem.models.tensorflow_models.robust_multitask import RobustMultitaskRegressor

from deepchem.models.tensorflow_models.robust_multitask import RobustMultitaskClassifier

from deepchem.models.tensorflow_models.lr import TensorflowLogisticRegression

        yield feed_dict

class TensorGraphMultiTaskFitRegressor(TensorGraphMultiTaskRegressor):

class TensorGraphMultiTaskFitTransformRegressor(TensorGraphMultiTaskRegressor):

  """Implements a TensorGraphMultiTaskRegressor that performs on-the-fly transformation during fit/predict.

  Example:

               n_evals=1,

               batch_size=50,

               **kwargs):

    """Create a TensorGraphMultiTaskFitRegressor.

    """Create a TensorGraphMultiTaskFitTransformRegressor.

    In addition to the following arguments, this class also accepts all the keywork arguments

    from TensorGraphMultiTaskRegressor.

class WeightDecay(Layer):

  """Apply a weight decay penalty.

  The input should be the loss value.  This layer adds a weight decay penalty to it

  and outputs the sum.

  """