Comments (2)
I am also looking for an example when the target y
is a multi-output one:
[[0 1 0 0 1],
[1 0 0 0 1],
...]
Any trick?
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In case there is any chance this information is still useful to you:
In cleanlab v2.2, we did a major overhaul of the functionality for multi-label classification. cleanlab's new label error detection capabilities for multi-label classification are much more powerful and easy to use!
Get started here: https://docs.cleanlab.ai/stable/tutorials/multilabel_classification.html
This tutorial demonstrates how to handle multi-output targets in the format you have.
We also published a paper detailing the new algorithms cleanlab v2.2 uses to estimate label errors in multi-label datasets:
Identifying Incorrect Annotations in Multi-Label Classification Data
Through extensive benchmarking, this paper answers questions about which label error detection algorithms to use for multi-label data (that are the cleanlab default settings post v2.2).
And definitely please open a new issue (stating which cleanlab version you are using) if you still encounter any problems using cleanlab for multi-label datasets!
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