def log_posterior_unnormalised(self, f):
        lik = self.log_likelihood(f)
        prior = self.log_prior(f)
        
        return prior + lik
Computes log(p(y,f))=log(p(y|f)+log(p(f)), only possible do if K is psd
dataset/ETHPy150Open karlnapf/kameleon-mcmc/kameleon_mcmc/gp/GaussianProcess.py/GaussianProcess.log_posterior_unnormalised