Pradeep Reddy Raamana

Probably similar, I jotted this down many months ago, so I don't recall the particular paper/application that prompted me to think of this. but I think even a simpler form...

perhaps we don't need to make it too generic, let's start with concrete applications and real datasets, and evolve it from there as we need them to.. vis helpers to...

Some desirable properties for these generators include ability to specify multiple variables, levels of confounding per variable, and formulaic way to specify multivariate confounding (like interaction terms etc) All of...

To represent advanced relationships between confounds (e.g. with named access for covariate values, and as well as named variables in formulae), it may be easier to base the generators on...

thanks Javi! this looks great. a high level comment on the module name -- given its broader focus, I think a more appropriate name would be `evaluation.py` as we may...

I just had a quick look, and I feel like its best we review it together, so I follow your motivation and reasoning! I'd have done some things slightly differently...

Wanna do it now? or what time would work for you?

A `FitTransformMixin` common to all estimators would solve it perhaps?

see #57 for an example

also include the number of bins in the output file name