PyRelationAL: a python library for active learning research and development

Understand

Active learning (AL) is a sub-field of ML focused on the development of methods to iteratively and economically acquire data by strategically querying new data points that are the most useful for a particular task.

• Here, we introduce PyRelationAL, an open source library for AL research.
• We describe a modular toolkit based around a two step design methodology for composing pool-based active learning strategies applicable to both single-acquisition and batch-acquisition strategies.
• This framework allows for the mathematical and practical specification of a broad number of existing and novel strategies under a consistent programming model and abstraction.