Love the sweep feature, but have one major issue when I want to adjust my priors on Bayes sweeps while they are running. I will let my models run and maybe realize that my original prior distribution is bad/too big and can tell I need to narrow it down. However currently it is hard to visualize the distribution for hyperparameter sampling and have to sort of guess by the colors and density of lines. Ideally each vertical axis on the parallel coordinates plot will have some light distribution of the prior and current posterior. Then ideally I should be able to adjust the prior on the fly by potentially discretizing the distribution and just dragging the areas I don’t want to the left/right. This would be game changing as someone who spends most of their research time not working on the model but just finding the right hyperparameters, and I will notice that my original range or guess was bad. Then I kill the sweep, start a new one, and restart the process, which I have noticed has taken up a lot of my time.
Maybe something like this - the visualization aspect - already exists, but I am not able to find it in the custom chart setup. I think it would be amazing to have it be default into the hyperparam plots.
