Kendrick Boyd

'CurveModel' sounds good, certainly better than 'CurveData' for what it does. Also makes it more natural to subclass for different estimation/model types such as fitting a binormal ROC curve.

'Curve' makes it sound like each instance defines a general curve and nothing more. But there is more going on, the curves are generated from ranking data (not the typical...

Probably true, I don't really have a strong preference either way so if you prefer 'Curve' let's use that.

I agree "Curve" is not descriptive and is a bit misleading. I think it would be useful to have "Ranking" in the name. So I'd lean towards "Ranking" for simplicity,...

That sounds good for `rocPoints`. Everything is a bit fuzzier for `prPoints` because of the interpolation. For now, continuing to use the lower trapezoid estimator for PR is probably fine,...

What are the use cases for the general aggregation besides average precision? My first thought is the subtleties of different scores would make a general aggregator more dangerous than useful....

Hi @sanketahegde, thanks for trying out DGAN and asking questions! In general, DGAN is quite good for biosignals when sufficient training data is available, but I know ECG data has...