classification

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)))

Is your feature request related to a problem? Please describe.
The current value of alpha value is hardcoded in many places to 0.05.

Describe the solution you'd like
Take this as a setup argument and use it everywhere for consistency. The default value can be 0.05.

Python 3.10 has been released. We should test it. If all the dependencies support it, we should add it to CI.

Add a way to change the sample id output in the annotation process to a specific number (see picture).

Reason: I want to annotate large text and the app don't like it when the documents to annotate are too large, so I spitted in a sentence the document but I would like to be able to