arXiv:2208.06868
공식 코드 · Papers with Code
Frouros: A Python library for drift detection in machine learning systems
원문 초록
Frouros is an open-source Python library capable of detecting drift in machine learning systems. It provides a combination of classical and more recent algorithms for drift detection: both concept and data drift. We have designed it with the objective of making it compatible with any machine learning framework and easily adaptable to real-world use cases. The library is developed following a set of best development and continuous integration practices to ensure ease of maintenance and extensibility. The source code is available at https://github.com/IFCA/frouros.
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Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift
Describing Nonstationary Data Streams in Frequency Domain
Early Concept Drift Detection via Prediction Uncertainty
Structuring the Processing Frameworks for Data Stream Evaluation and Application
SUDS: A Strategy for Unsupervised Drift Sampling
A method to benchmark high-dimensional process drift detection
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