Support multi-label setup in Text Classification Taskflow #3968
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* add basic ci & pypi workflow * add Makefile file to enable more custom scripts * update makefile & workflow * add manifest.in file * save requirements * improve makefile * add test running command * complete simple CI test script * complete simple CI test script * complete first version of workflow * failure at first * remove CI workflow * update workflows * add dev-dependency * complete format & lint * add paddle dependency * complete format & lint & test command * upgrae workflow files * use pytest to do test * update need keywords * change the description * update lint script * upgrade workflow * update parameterized * update makefile * fix lint * update test command in workflow * fix __init__ lint * ignore all __init__.py file * fix script workflow * udpate flake8 config * update flake config * update flake8 config * remove redefinition of unused Co-authored-by: Sijun He <[email protected]>
* Add multi recall of semantic search for pipelines * Update multi recall semantic search README.md * remove unused imports * remove unused imports * Update __init__.py * remove unused imports * restore __init__.py * skip retriever __init__.py
* release 0.6.3 * release 0.6.3
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Thanks for your contribution! |
wawltor
reviewed
Dec 13, 2022
| postprocessed_output = {} | ||
| postprocessed_output["predictions"] = [{"label": self.id2label[label], "score": score[label]}] | ||
| postprocessed_outputs.append(postprocessed_output) | ||
| else: # multi_label |
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这里是不是elif model == "multi_label" 更好一点？ 后面需要考虑一下层次分类接入
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