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Hi,
Does the repo support reporting evaluation metrics per class for multilabel sequence classification?
Thanks
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### System information
- **OS version/distro**: Windows 10
- **.NET Version (eg., dotnet --info)**: 2.1.602
- **ML.NET Version**: 1.1.0
Hi everyone,
I'm looking for help. I developed some ML …
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# 🚀 Feature request
1. Enable multilabel classification mode and regression mode for the widgets in the model repo.
2. Create the corresponding tags that can be read from the model card.
## Mot…
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**Is your feature request related to a problem? Please describe.**
We currently only calculate confidence for the entire list of labels in multilabel classification tasks. This type of computation is…
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After running the trainer for >5 hours, I get ValueError: Multioutput target data is not supported with label binarization
My train_dataset and eval_dataset have one text column, one labels column …
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The implementation of the hoeffding tree for the multilabel classification needs more work .
The distribute class observers needs to be revised because we can not use Hoeffding tree's.
Hereunder the…
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https://automl.github.io/auto-sklearn/master/examples/20_basic/example_multilabel_classification.html#sphx-glr-examples-20-basic-example-multilabel-classification-py
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Hello,
I would like to do MultiLabel Text-Classification
My code:
```
model = OpenAI(api_key)
prompter = Prompter('multilabel_classification.jinja')
pipe = Pipeline(prom…
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Hello! I see that for Text Explainers, the following types are supported:
Sequence Classification Explainer and Pairwise Sequence Classification
MultiLabel Classification Explainer
Zero Shot Classi…
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### Summary
Both segmentation and object detection require that the background be included and there is currently a note on these args: `num_classes: Number of prediction classes (including the backg…