regression

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)))

Currently the checks reside in the time series module. It would be better to move them to base class so that all task types can benefit from it.

O, we went with a private method for now. Currently, it is in the time series module only. Later we may add it to the base class itself.

Originally posted by @ngupta23 in pycaret/pycaret#2354 (comment)

What is the desired addition or change?

provide a cmake c++17 switch

What is the motivation for this feature?

to not depend on the std_backport

If applicable, describe how this feature would be implemented.

change those lines from 11 to 17 conditional to a global define

https://github.com/mlpack/mlpack/blob/de94eee6881e33f1145d9d4a8b5380a5be8af36a/CMakeLists.txt#L

I published a new v0.1.12 release of HCrystalBall, that updated some package dependencies and fixed some bugs in cross validation.

Should the original pin for 0.1.10 be updated? Unfortunately won't have time soon to submit a PR for this.

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