Allow for Mean Functions.
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Currently all Gaussian processes in albatross assume the mean is zero. It would be nice to be able to provide an arbitrary function which can remove apriori means. There are a few ways this could happen.
-We could implement a MeanFunction class which functions very much like the CovarianceFunction. The GaussianProcessBase class would then need an additional template parameter which could default to ZeroMean.
-We could hijack the CovarianceFunction to contain a _mean_impl method which then let's us perform very similar logic to _call_impl to provide an optionally defined cov_func.mean(features) method. This would avoid the need for an additional template parameter ... but it could get confusing that the CovarianceFunction acts as a MeanFunction as well.