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classification
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Our instructions only cover installation, not actually running Orange. People unfamiliar with pip/conda need this.
The instructions should be fixed in README.md and our webpage (they should be the same). Please test throughly.
#5111 is an example of what can go wrong.
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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)))