#NEWLINE# def predict( self , x , **kwargs ) : #NEWLINE# #INDENT# 'Compute a forward pass of the inputs, returning the network output.\n\n        All keyword arguments end up being passed to :func:`build_graph`.\n\n        Parameters\n        ----------\n        x : ndarray (num-examples, num-variables)\n            An array containing data to be fed into the network. Multiple\n            examples are arranged as rows in this array, with columns containing\n            the variables for each example.\n\n        Returns\n        -------\n        y : ndarray (num-examples, num-variables)\n            Returns the values of the network output units when given input `x`.\n            Rows in this array correspond to examples, and columns to output\n            variables.\n        ' #NEWLINE# return self . feed_forward ( x , ** kwargs ) [ self . layers [ ( - 1 ) ] . output_name ]