classification

If there is a hot key (move the image from left to right) can get the feature when I was annotating the polygon.
The scroll of mouse can achieve the up and down direction of image, but if I need the move the image from left to right, I have to drag the bottom bar.
If there is a hotkey to drag the whole image or to move the image horizontal?
Thank you!

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)))

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Issue Description

I am facing the problem of

sklearn.utils are meant to be used internally within the scikit-learn package. They are not guaranteed to be stable between versions of scikit-learn. So depending on this submodule may limit cleanlab compatibility across sklearn versions.

Would not be too much work to replace the few cleanlab functions currently being

When I set "split_type" as GroupKFold, then use fit() with setting "groups", I got the issue: AttributeError: 'GroupKFold' object has no attribute 'groups' and

ml.py:460, in evaluate_model_CV(config, estimator, X_train_all, y_train_all, budget, kf, task, eval_metric, best_val_loss, log_training_metric, fit_kwargs)
458 kf = kf.split(X_train_split, y_train_split)
459 elif is

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