Add multilabel classification metrics #1408
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… multilabel datasets
yifanmai
reviewed
Mar 14, 2023
| @@ -218,10 +218,15 @@ def construct_example_prompt(self, instance: Instance, include_output: bool, ref | |||
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| # References (optionally) and output | |||
| output: str | |||
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| delimiter = "," | |||
There was a problem hiding this comment.
Might want to try with and without space
| if not correct_references: | ||
| output = "n/a" | ||
| else: | ||
| output = delimiter.join([correct_reference.output.text for correct_reference in correct_references]) |
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Note to self: This might change instances if we have scenarios with multiple correct references somehow (which should not happen).
yifanmai
reviewed
Mar 14, 2023
… sklearn function lists
…gressive for classes
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I updated the PR. @yifanmai would you mind taking a look? |
yifanmai
requested changes
Mar 21, 2023
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Thank you so much for the review! I addressed the changes. |
yifanmai
approved these changes
Mar 22, 2023
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Looks good. Thanks! |
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This is a WIP for adding population level classification metrics for multilabel text classification tasks. Any Feedback is welcome, especially for testing it.