ShreeshaM07

> Being faithful to the Lebesgue decomposition also has an advantage in mixtures: the `pdf` and `pmf` of a `m = Mixture([d1, d2], [w1, w2])` has `m.pdf = w1 *...

I'd like to start working on this issue. Is just switching the order of `shift` and `rolling` in `_window_feature` in summarize.py going to solve the issue of returning NaN?

I tried switching the `shift` and `rolling` in `_window_feature` in summarize.py . It now works for the code snippet `1` but does not work for `2`. 1) df = pd.DataFrame(np.arange(10))...

Does this issue still need to be addressed? Maybe adding some test cases to the test suite

@fkiraly , I am interested in this project idea and would like to start off by adding an interface to `ngboost` to `skpro`. Can I go ahead? Also a small...

@fkiraly , Just wanted to know where `reducing deterministic (quantile) regression to probabilistic regression - take quantile(s)` has been implemented to get an idea on what needs to be done...

I have just implemented a minimal code so far. Would these parameters be appropriate where I am taking the parameters as` bin_width` and `bin_density`. increase the input array to the...

> An example might help - let's say I have two bins, one from 0.5 to 2, and one from 2 to 7. The first bin has mass 0.3, the...

I have done it that way but I still am not sure if we can handle a single `int` input for `bins`. The code so far is giving expected output...

A suggestion for another way to input `bins` would be a `tuple(float,float,int)` with it representing `(bins start, bins ends,number of bins)`. Will this be a better idea as compared to...