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classification
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What's your use case?
In other words, what's your pain point?
Variable names and their icons are shown as vertical header. This
- is ugly,
- doesn't show the selection properly,
- doesn't allow sorting by variable names,
- doesn't allow selection by dragging across a range of variables (though one can drag across rows in the table itself),
- and possibly something else.
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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
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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)))