Martin Bompaire

Sadly, Hawkes processes theoretically apply to continuous time data only. It might possibly be feasible to rethink the model handle this kind of data but _tick_ has no algorithm for....

Hi, thanks for reporting, on which platform (pc, mac, linux) do you face this issue ?

Indeed we did not add the code to make this one picklable. Here is [a tutorial](https://x-datainitiative.github.io/tick/modules/dev.html#enable-python-pickling-of-c-objects) that could guide you if you want to submit a PR :).

Is this a bit like #94 ?

Sorry, just discovering this thread :o, wow the amount of work is huge ! Honestly, these tests involving randomness are very bad designed, but I didn't know that back then...

Hello @oresthes, Actually optimizing for the llh of Hawkes processes with gradient descent is very hard due to the shape of the optimization curve (very flat near the optimum, very...

Hi, Have you tried casting your data into array of doubles ? You could proceed as following ```python import numpy as np list_of_list_of_events = [ [np.array([ 0, 150, 1440, 6960,...