def dnlml(self, hypInArray, inffunc, meanfunc, covfunc, likfunc, x, y):
self.apply_in_objects(hypInArray, meanfunc, covfunc, likfunc)
result = gp.analyze(inffunc, meanfunc, covfunc, likfunc, x, y, der=True)
dnlml_List = result[1].mean + result[1].cov + result[1].lik
return np.array(dnlml_List)
def nlml(self, hypInArray, inffunc, meanfunc, covfunc, likfunc, x, y):
self.apply_in_objects(hypInArray, meanfunc, covfunc, likfunc)
result = gp.analyze(inffunc, meanfunc, covfunc, likfunc, x, y, der=False)
return result[0]