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Hello, I'm new to DL and have just begun the Fastai course for 2022.
I'm working on a Multi-label classification problem and downloaded the Emotions Dataset from Hugging. As shown below, this Datas…
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From [Ambient GA RFC](https://docs.google.com/document/d/1GiD2-MmY9VrkfEs-ET0b7UGPmVII2GQUD7m1iAvbrjo):
> * Could be alpha
> * Implementation detail: tags
> * User story: I can upgrade without chan…
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## What is the idea ?
Hi!
It would be great if we could have multi-label search on the main page of ARA, rather than one.
Given the labels:
User=test_user, Server=host1, virtualenv=pipvi…
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how can this model be trained for a multi-label classification problem?
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I just wanted to know if this can be applied to the case where there is multi-label classification problem with sigmoid output activation unit. As in, there are multiple labels that can be 1 at the sa…
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Hi,
I‘m using Digits & Caffe to do the DL job.
I wonder that has the latest version of Digits supported multi-label classification?
How to play multi-label classification with Digits?
If not, wil…
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Problem: When trying to set a custom metric for multi-label, the kernel crashes.
catboost version: 1.0.3
Operating System: linux
CPU: +
My code
```
class mf1(object):
def is_max_optim…
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Very impressed by this piece of work. Has any thought gone into how the KNN Shapley approach could be adapted to the multi-label case while retaining its efficiency?
For that matter, what lead to …
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How can I run Multi-Label text classification with albert using fast-bert?
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How do I apply this nice repo to Multi-Label Classification task ?
That is , a image has multi labels,I'd like to get the each label's confidence.
sound like add some features in dataset.py? or mo…