FALL - Framework for Adaptive Life-Long Learning

FALL is designed to enable both practitioners and researchers to develop and implement machine learning systems for streaming data, in the presence of changing conditions. FALL is a framework for building adaptive learning systems capable of incrementally learning from streaming data, and adapting to changing conditions. FALL is modular, based around a standard architecture for adaptive learning. This enables existing methods to be easily recreated, as well as novel methods to be easily implemented without re-implementing standard components.

Adaptive Learning

Installation

pip install fall-ml==0.0.1

Documentation

Please refer to the package homepage for more information and documentation.

Examples

Please refer to the binder link for interactive examples.

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