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**Issue Description:**
The selected options, overlay the floating label (refer screenshot below).
**Screen Shot:**
![image](https://user-images.githubusercontent.com/3397654/152003423-30511334-fa…
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where I can get the data set from your project, or how the datasets in your project is processed?
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### MOA Multi-label Classification Predictions
@gway @shntnu
- A compound profile has multiple MOAs i.e. more than one target label (multi-label classification)
- All MOAs found in just on…
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Hey there,
As tpot seems to rely solely on scikit-learn for (meta-) estimators the lack of extended multi-label classification strategies is quite noticeable. The work on some of the strategies and a…
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Hello, thanks for the library!
I have a scenario where each rater can apply multiple labels to each example. I have 20 labels and 4 raters.
I'm new to this and I would really appreciate if you…
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Hi Chou,
It seems that the libdnn couldn't handle the multi-label task.
Would you like to add this new feature in the future?
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I am working on a task to classify a sentence into multiple topics (Multi-label classification).
Initially, I trained the entire 1.5M unlabeled data on bert base model using domain adaptation.
Then…
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### Description
The aim of this task is to research and implement multi-label classification methods for GitHub repositories. By analyzing the code content, commit history, README files, and associat…
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Hi,
Is it possible to extend the current fflm approach to multi-label faithful classification? Currently, I have 3 labels, namely _Faithful_, _Intrinsic Hallucination_ and _Extrinsic Hallucination_…
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Hello. I'm trying to use cleanlab for a multi-label dataset. I'm following the code from `LearningWithNoisyLabels` and I'd like to not only prune the indices with `get_noise_indices()`, but I'd also l…