original_docstring: The call method for NeuMF class.
  
          Args:
              inputs (OrderedDict:tf.Tensor): OrderedDict of input feature tensor.
          
          Returns:
              output (tf.Tensor): The predicted probability for index of next item id.
          
docstring: The call method for NeuMF class.
docstring_tokens: The call method for NeuMF class .
code: def call(self, inputs):
          """The call method for NeuMF class.
  
          Args:
              inputs (OrderedDict:tf.Tensor): OrderedDict of input feature tensor.
          
          Returns:
              output (tf.Tensor): The predicted probability for index of next item id.
          """
          # wide, deep feature columns
          feature_cols_d = self.feature_layer_d(inputs)
          feature_cols_w = self.feature_layer_w(inputs)
          
          # title embedding
          title = inputs['title']
          title_embed = self.text_embed_layer(title)
          
          # deep network
          concat_1 = tf.concat([feature_cols_d, title_embed], axis=1)
          dense_1_out = self.dense_1(concat_1)
          dense_2_out = self.dense_2(dense_1_out)
          dense_3_out = self.dense_3(dense_2_out)
          
          # combine wide, and deep layers
          concat_2 = tf.concat([dense_3_out, feature_cols_w], axis=1)
  
          output = self.dense_4(concat_2)
          return output
code_tokens: def call ( self , inputs ) : feature_cols_d = self . feature_layer_d ( inputs ) feature_cols_w = self . feature_layer_w ( inputs ) title = inputs [ 'title' ] title_embed = self . text_embed_layer ( title ) concat_1 = tf . concat ( [ feature_cols_d , title_embed ] , axis = 1 ) dense_1_out = self . dense_1 ( concat_1 ) dense_2_out = self . dense_2 ( dense_1_out ) dense_3_out = self . dense_3 ( dense_2_out ) concat_2 = tf . concat ( [ dense_3_out , feature_cols_w ] , axis = 1 ) output = self . dense_4 ( concat_2 ) return output
short_docstring: The call method for NeuMF class.
short_docstring_tokens: The call method for NeuMF class .
comment: """The call method for NeuMF class.
  
          Args:
              inputs (OrderedDict:tf.Tensor): OrderedDict of input feature tensor.
          
          Returns:
              output (tf.Tensor): The predicted probability for index of next item id.
          """$SEP$# wide, deep feature columns$SEP$# title embedding$SEP$# deep network$SEP$# combine wide, and deep layers