libact: Pool-based Active Learning in Python

2017/10/01 by Yao-Yuan Yang, Yang, Yao-Yuan, Shao-Chuan Lee +10 · 1 voice · 4 citations
Computer Science · #Computability, Logic, AI Algorithms #Machine Learning and Algorithms #Machine Learning and Data Classification #cs.LG

paper · pdf · doi:10.48550/arxiv.1710.00379

arxiv created 2017/10/01 · arxiv published 2017/10/01 · arxiv updated 2017/10/03

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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Discussions

• Libact: Pool-Based Active Learning in Python [hn, 1 points, 0 comments]

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