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arXiv · 1710.00379

libact: Pool-based Active Learning in Python

Yao-Yuan Yang·Shao-Chuan Lee·Yu-An Chung·Tung-En Wu·Si-An Chen·Hsuan-Tien Lin
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Abstract

libact is a Python package designed to make active learning easier for general users. The package not only implements several popular active learning strategies, but also features the active-learning-by-learning meta-algorithm that assists the users to automatically select the best strategy on the fly. Furthermore, the package provides a unified interface for implementing more strategies, models and application-specific labelers. The package is open-source on Github, and can be easily installed from Python Package Index repository.

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Yao-Yuan Yang, Shao-Chuan Lee, Yu-An Chung, Tung-En Wu, Si-An Chen, Hsuan-Tien Lin. 2017-10-01. libact: Pool-based Active Learning in Python. https://arxiv.org/abs/1710.00379

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