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classification
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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)))
Is your feature request related to a problem? Please describe.
In time series plotting module, lot of plots are customized at the end - template, fig size, etc. Since the same code is repeated in all these plots, maybe this could be modularized and reused.
with fig.batch_update():
template = _resolve_dict_keys(
dict_=fig_kwargs, key="template", defaults=fig_default
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Currently the X
argument of CleanLearning.fit()
does not seem to support non-array data.
Perhaps this is due to the sklearn function check_X_y()
called inside CleanLearning, which we could replace.
Or perhaps it's due to how the cross-validation is currently being implemented.
However these are both easy to improve to rid the restriction that only array data are supported.
Seems e
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Discussed in microsoft/FLAML#543
Originally posted by scvail195 May 9, 2022
Call to resource.setrlimit(resource.RLIMIT_AS, (memory_limit, hard)) causes error
<img width="1399" alt="Screen Shot 2022-05-05 flaml crash" src="https://user-images.githubusercontent.com/90455225/167453259-0e30f323-0ae6-46ae-ab4d-2
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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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!