function kern = conbiasKernParamInit(kern)

% BIASKERNPARAMINIT BIAS kernel parameter initialisation.
%
%	Description:
%	The bias kernel arises from placing a prior over the bias with a
%	variance given by the kern.variance parameter. It allows the
%	output function to move up and down.
%	
%	This kernel is not intended to be used independently, it is
%	provided so that it may be combined with other kernels in a
%	compound kernel.
%	
%	
%
%	KERN = BIASKERNPARAMINIT(KERN) initialises the bias kernel structure
%	with some default parameters.
%	 Returns:
%	  KERN - the kernel structure with the default parameters placed in.
%	 Arguments:
%	  KERN - the kernel structure which requires initialisation.
%	
%
%	See also
%	CMPNDKERNPARAMINIT, KERNCREATE, KERNPARAMINIT


%	Copyright (c) 2004, 2005, 2006 Neil D. Lawrence
% 	biasKernParamInit.m CVS version 1.5
% 	biasKernParamInit.m SVN version 1
% 	last update 2008-10-11T19:45:35.000000Z


kern.variance = exp(-2);
kern.nParams = 1;

kern.transforms.index = 1;
kern.transforms.type = optimiDefaultConstraint('positive');

kern.isStationary = true;