Hello everyone

I was reading through the Latent Variable implementation of GP and found that when a GP prior is specified it is done for certain function input values

```
f = gp.prior("f", X=X)
```

My question is it is possible to specify more information for the GP? I have one set of data with uncertainty that i want to use as a initial guess for the GP and then another set of data which is the observable for the likelihood function. In my head it would look something like

`f = gp.prior("f", X=X, Y=Y, SD=SD)`