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Hi, is it possible to use top-k entropy loss for multi-label classification problem? Which each of the gt_label can be the top-K?
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### Describe the workflow you want to enable
It would be great to have temperature scaling available as a post-hoc calibration method for binary and multi-class classifiers, for example in `Calibrate…
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### Feature request
I want to use accelerate for multi-machine and multi-gpus inference. Since using trainer.predict does not return the original inference data, only the inference results, I am not …
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussion…
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Hi there, amazing library and thank you so much.
a short question.
" nlp-wth text summarization" folder you are doing multi-label data classification but you set
y = binarizer.fit_transform(d…
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Hi,
I am using the weight feature in both input and label space as mentioned in Readme:
word_1:wt_1 word_2:wt_2 ... word_k:wt_k __label__1:lwt_1 ... __label__r:lwt_r
**Questions:**
My each…
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While the clean lab claims to handle the multi-label classification. we have yet to see any implementation example of it. This repository gives an excellent starting point for many working with noisy…
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## 🚀 Feature
There is a lot of scope to improve the CNN Trainer.
- [ ] LR Finder Implementation.
- [ ] Metrics for Lightning (use Lightning metrics only)
- [ ] Multi Label Classification
- [ …
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## 一言でいうと
クラス分類のタスクについて、マルチタスク＋半教師ありを組み合わせた手法の提案。各タスクでラベル情報をEncodeした空間を共通で持ち、そこから各タスクに応じたラベルの予測を行う(主タスク)。同時にこのラベル空間を元にラベルなしデータへのラベルづけを行い、本体側の予測と比較する(補助タスク)
![image](https://user-images.githubuse…
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Hi What changes have to be done in this code to allow multi label classification? is there any resource that I can refer to extend your code to allow multi label classification?