It seems like pymbar detect equilibration is always used for the ensemble validation, which can be quite slow. If we already know the start of the production period and correlation time beforehand, it would be useful to be able to bypass detectEquilibration and just feed in the uncorrelated data to physical validation. For datasets containing on the order of 100,000 points, I've found that detectEquilibration alone can take several hours.
It seems like pymbar detect equilibration is always used for the ensemble validation, which can be quite slow. If we already know the start of the production period and correlation time beforehand, it would be useful to be able to bypass detectEquilibration and just feed in the uncorrelated data to physical validation. For datasets containing on the order of 100,000 points, I've found that detectEquilibration alone can take several hours.