KiGB
Machine learning framework
An open-source software framework that integrates human advice into gradient boosting decision trees for improved performance in machine learning tasks.
Knowledge-intensive Gradient Boosting: A unified framework for learning gradient boosted decision trees for regression and classification tasks while leveraging human advice for achieving better performance.
8 stars
3 watching
4 forks
Language: Python
last commit: about 2 years ago
Linked from 1 awesome list
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