Rutger Fick

response: > I will add some helper functions to make the calculations of your scalars more easy. > Briefly, odi and beta_fraction are just optimization parameters that stand in for...

So yes matplotlib for visualizations in the examples. Numba and pathos are really optional. I use seaborn for the last correlation plots in the AxCaliber example, should that be added...

Not AS nice but scipy can do correlations and you can somehow make a plot showing it with matplotlib. It just takes 7 hours to run the example (fit AxCaliber...

I'll change it over the next days then. On 3 Feb 2018 13:11, "Demian Wassermann" wrote: > Not a priority > > -- > Demian Wassermann, PhD > [email protected] >...

Added timing estimates for fitting data in the notebooks for every example. Will take care of the seaborn dependency later.

The kernels need to be re-estimated from a group of noisy response functions for every SNR. This is likely the reason why noisy simulations didn't give the same results when...