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Dear Zhou,
Thank you for sharing Dassl!
I encounter some problem when implementing 'coop' with multi-label classification.
My label in One-hot presentation is like: [0,1,0,1,0,0,0,1], so how to d…
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Hi, since the RNN is used to perform a multi label classification task, shouldn't Sigmoid be used instead of Softmax layer at the end to calculate the probabilities? Couldn't Softmax be the perfect fo…
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Hi guys,
Hope you are all well !
I was wondering if **X-Transformer** can handle multi-label classification with 1560 labels.
More precisely, I would like to apply it to paperswithcode datase…
ghost updated
3 years ago
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Inspecting the [KerasClassifier](https://github.com/IBM/AIX360/blob/2cc7374bf0704adc79ab7cde35708f89f1a0e2ad/aix360/algorithms/contrastive/classifiers.py#L51) class for CEM, I could see that it is mad…
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Even though users can deal with axis labels on a higher level through the Formatter and Text classes, Matplotlib's handling of Labels is still very flat. At best users can change the string formatting…
ghost updated
9 months ago
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Hello, I'm getting this error when adding draft order from Admin Panel after installing the Multi-Warehouse Modules.
I'm using a fresh medusa installation with npx create-medusa-app@latest.
##…
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I am looking forward to have AUC for multi-label multi-class classification task but the AllenNLP library currently does not support it
Has anyone tried it earlier ?
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Hi,
Thank you for the great work done on the features of supervised learning! In multi-label classification, Is it possible to add a feature that allow us to assign different weights for different …
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If the date axis is not named one of the special names we suppress, the axis label may collide with the tick labels. (I see why this happens and auto margins are very tricky but I wanted an issue to t…
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Hi there,
I would like to get some advice from you guys regarding on how a prediction should be properly evaluated. I created a U-Net model with resnet34 as backbone to semantically segment images …