adding scscore

from deepchem.models.tensorgraph.layers import Layer, Input, Dense, Hingeloss, Label, Feature

from deepchem.models.tensorgraph.layers import ReduceMean, InputFifoQueue, ReLU

class Scscore(TensorGraph):

	tg=dc.models.TensorGraph(tensorboard=True, model_dir='/tmp/scscore',use_queue=True)

class Scscore(TensorGraph):

  tg = dc.models.TensorGraph(

      tensorboard=True, model_dir='/tmp/scscore', use_queue=True)

  Input1 = InputFifoQueue()

  hidden_1 = Dense(out_channels=300, in_layer=Input1, activation_fn=tf.nn.relu)

	hidden_2=Dense(out_channels=300,in_layer=hidden_1,activation_fn=tf.nn.relu)

	hidden_3=Dense(out_channels=300,in_layer=hidden_2,activation_fn=tf.nn.relu)

	hidden_4=Dense(out_channels=300,in_layer=hidden_3,activation_fn=tf.nn.relu)

	hidden_5=Dense(out_channels=300,in_layer=hidden_4,activation_fn=tf.nn.relu)

  hidden_2 = Dense(

      out_channels=300, in_layer=hidden_1, activation_fn=tf.nn.relu)

  hidden_3 = Dense(

      out_channels=300, in_layer=hidden_2, activation_fn=tf.nn.relu)

  hidden_4 = Dense(

      out_channels=300, in_layer=hidden_3, activation_fn=tf.nn.relu)

  hidden_5 = Dense(

      out_channels=300, in_layer=hidden_4, activation_fn=tf.nn.relu)

  label = Label(shape=(300,))