Hi I would like to propose a better implementation for 'test_indices':

We can remove the unneeded np.array casting:

Cleaner/New:
test_indices = list(set(range(len(texts))) - set(train_indices))

Old:
test_indices = np.array(list(set(range(len(texts))) - set(train_indices)))

In Armadillo 10.5 the default behaviour of Mat, Row, Col, and Cube constructors has been changed compared to earlier versions of Armadillo. The constructors now set all elements to zero by default. In other words, a declaration like arma::mat X(4,5) is now equivalent to arma::mat X(4,5,arma::fill::zeros).

This was done for consistency with the Sp

• What's your use case?

Hi @JavierAntoran @stratisMarkou,

First of all, thanks for making all of this code available - it's been great to look through!

Im currently spending some time trying to work through the Weight Uncertainty in Neural Networks in order to implement Bayes-by-Backprop. I was struggling to understand the difference between your implementation of `Bayes-by-Bac

Is your feature request related to a problem? Please describe.
While sales forecasting, it is necessary that the model is given the input about the promotions, special events that are taken care of in the prophet model as the holiday effect. Does orbit support this feature?