li-lf/PyNOL
A Python Package for Non-stationary Online Learning (PyNOL)
PyNOL helps machine learning researchers and practitioners implement and test online learning algorithms, especially in situations where the data patterns change over time. It takes in various algorithmic components like base-learners and meta-learners, along with environment specifications like loss functions, and outputs custom online learning models. This is ideal for those focused on optimizing 'dynamic regret' or 'adaptive regret' in evolving datasets.
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Use this if you are a machine learning researcher or advanced practitioner designing and evaluating online learning algorithms for data streams that exhibit non-stationary behavior.
Not ideal if you are looking for a pre-packaged, ready-to-deploy online learning solution without needing to customize or compose algorithms from fundamental components.
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Language
Python
License
MIT
Category
Last pushed
Apr 05, 2024
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