Eric Kalosa-Kenyon

If you're still hunting for a solution: there's a [nice code generator](http://web.mit.edu/r/current/lib/R/library/tools/html/package_native_routine_registration_skeleton.html) that will register the native functions with R compliant with the current [Writing R Extensions section 5.4](https://cran.r-project.org/doc/manuals/R-exts.html#Registering-native-routines). This...

What's stopping this from being a fully fledged module in emukit?

For those encountering the same issue, here's a functional work-around: ``` workaround_results = [UserFunctionResult(X=x, Y=y) for x, y in zip(X2,Y2)] workaround_loop_state = LoopState(workaround_results) control_loop.loop_state = workaround_loop_state X_next = control_loop.get_next_points( results...

To address your curiosity: consider an experiment in which we have imprecise knowledge about the allowable discrete elements of the objective function's domain. What's more, we don't get the precise...

To not get too off-track: does it make sense to have the `model.set_data()` be the definitive source of data? If so, I'm thinking of adding the loop_state as a paramz...

Re: the encouraged discussion - it would be great to have more model wrappers. Various tricks and methods will likely be developed and can be reused, especially in the first...

``` A = TypeVar('A', a, b) B = Sequence[A] class BanditParameter(Parameter[B]): def __init__(self, name: str, subparameters: Sequence[Parameter[A]], # should be isomorphic to B, ignoring constraints on Parameter[A] domains domain: Sequence[B]...

Seems like we could just make the documentation more explicit about the assumptions made here? e.g. "we have a canonical ordering of variables in the parameter space" or whatever it...

My usecase is much less theory-driven - I just want to be able to safely chain functions using an `@maybe` decorator: ``` def maybe(f: Callable) -> Callable: def g(...): return...

@nateshmbhat any thoughts on this PR? Or PR#271?