libact: Pool-based Active Learning in Python
This tool addresses the need for easier implementation of active learning in machine learning, but it is incremental as it packages existing methods.
The authors introduced libact, a Python package that simplifies active learning by implementing multiple strategies and an automated meta-algorithm for strategy selection, making it accessible for general users.
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.