Interface for computing errors

[dwysocki]

We should consider how we want to handle computing errors from an API perspective. For Lasso regression, we will need to use bootstrapping, but for OLS, we can compute standard error. I propose we somehow provide an error function to get_lightcurve, or create a new function, get_lightcurve_with_error, which takes that function. The bootstrapping function would need to call get_lightcurve many times, while the standard error function would call get_lightcurve a single time. Our current behavior could be recreated by passing in an error function which only computes the SDM of the light curve.

Any ideas or concerns about this topic?

[dwysocki]

One more thing, this also leaves open the possibility of passing an error function which is essentially a no-op, for when you only want a quickly fitted light curve, with no errors. Bootstrapping is going to be very time consuming, and so you probably only want to use it for publishable results.