You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: mlperr.m
    path of file: ./repos/bnt/netlab3.3
    
    the code of the file until where you have to start completion: function [e, edata, eprior] = mlperr(net, x, t)
%MLPERR	Evaluate error function for 2-layer network.
%
%	Description
%	E = MLPERR(NET, X, T) takes a network data structure NET together
%	with a matrix X of input vectors and a matrix T of target vectors,
%	and evaluates the error function E. The choice of error function
%	corresponds to the output unit activation function. Each row of X
%	corresponds to one input vector and each row of T corresponds to one
%	target vector.

    
function [e, edata, eprior] = mlperr(net, x, t)
%MLPERR	Evaluate error function for 2-layer network.
%
%	Description
%	E = MLPERR(NET, X, T) takes a network data structure NET together
%	with a matrix X of input vectors and a matrix T of target vectors,
%	and evaluates the error function E. The choice of error function
%	corresponds to the output unit activation function. Each row of X
%	corresponds to one input vector and each row of T corresponds to one
%	target vector.
%
%	[E, EDATA, EPRIOR] = MLPERR(NET, X, T) additionally returns the data
%	and prior components of the error, assuming a zero mean Gaussian
%	prior on the weights with inverse variance parameters ALPHA and BETA
%	taken from the network data structure NET.
%
%	See also
%	MLP, MLPPAK, MLPUNPAK, MLPFWD, MLPBKP, MLPGRAD
%

%	Copyright (c) Ian T Nabney (1996-2001)

% Check arguments for consistency
errstring = consist(net, 'mlp', x, t);
if ~isempty(errstring);
  error(errstring);
end