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### Feature request
I have a multi label dataset and I'd like to be able to class encode the column and store the mapping directly in the features just as I can with a single label column. `class_en…
jmif updated
8 months ago
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While performing multi label problems, all performance evaluation matrices are showning NA except Accuracy. ROC/ PRC is also not generated. Kindly help.
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**Is your feature request related to a problem? Please describe.**
Currently the `gradio.outputs.Label` supports the multi-class classification setting, where only 1 class is predicted. In terms of v…
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The examples are excellent, will you consider add more example such as multi label classification?
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Thanks for sharing this package and writing the paper.
It would be nice if this package also supported binary multi-label classification problems.
What would be the best way to aggregate for ins…
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I saw multi-class example in 'example dir', but I don't know this example will work well in the case of multi-label segmentation.
multi-label segmentation means that segmenting image that have pixe…
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Dear, sir
Thank you so much for publishing this fantastic works. I went through the code, and have a small concerned:
How do you compute the multi-region label? Did you do it directly in OpenFOA…
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Hello! I have a problem with a multi-label classification.
I changed loss = tf.nn.sigmoid_cross_entropy_with_logits(logits=preds, labels=labels) and correct_prediction = tf.equal(preds, labels) in me…
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Hi ,
I am working in academic research , and we had a giant graph database, where we have constructed a knowledge base from several biomedical knowledge sources.
Our use case adopts a hierarch…
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How would you alter this code for multi-label segmentation? I have input images that can have several labels. Can ImageDataGenerator still be used for this case?