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### Reason/inspiration (optional)
We would like a new entry on the `Multilabel Classification` concept under Sklearn. The entry should go in a new file under `docs/content/sklearn/concepts/multilabel…
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@datvuthanh @xoiga123 Thanks for sharing the code base, it is really helpful , but i had a few queries
1. Can we have multi-label classification also from the existing code? as I see two things o…
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Hi everyone,
I'm trying to solve a multilevel classification problem. I have 505 labels, and I've converted the output to binarized 505 length vector, entry in index i is 1 if the sample has a tag …
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# 🚀 Feature request
We need to be able to use the trainer for multilabel classification problems.
## Motivation
Right now we create our models in the old fashioned way, with a sigmoid layer a…
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@StevenGrove hi thanks for sharing the code base , i have a query can we consider the feature in the fine grained routing for multilabel classification problem like person attribute recognition like…
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This would be useful for me personally, and I think a nice addition to this awesome package.
A natural approach would be to follow the example of sklearn's [MultiOutputClassifier](https://github.co…
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How to get a relevance ranking in scikit multilearn? I tried to use the estimates probability returned by predict_proba function. However, in ML-Knn for example, the most likely labels obtained in pre…
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Hi guys, just have a question regarding the training data for multilabel classification.
So, for multiclass classification, you can play around with the number of samples (K) per label, and of cour…
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Hi, I think this is a really good unsupervised learning model, my question is that I know the current implementation is for single label with 1 label for 1 image, is it possible to extend it and apply…
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### Proposal Summary
Enable MultiLabel classification evaluations. At this moment this is not possible.
### Motivation
- What is the use case for this feature?
Evaluating a multilabel clas…