Extreme-classification/ECLARE
ECLARE: Extreme Classification with Label Graph Correlations
This project helps you classify items or documents into many categories, even when those categories are related in complex ways. It takes a collection of items, like product titles or document abstracts, and assigns them to the most relevant labels from a very large set, leveraging how those labels connect to each other. This is useful for data scientists and machine learning engineers working with large-scale classification problems.
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Use this if you need to accurately assign items to hundreds of thousands or even millions of possible categories, especially when some categories are more closely related than others.
Not ideal if your classification task involves only a small number of categories or if the relationships between your categories are not important for classification.
Stars
41
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7
Language
Python
License
MIT
Category
Last pushed
Mar 24, 2022
Commits (30d)
0
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