2nd Inria-DFKI European Summer School on AI, IDESSAI 2022 (Saarbrücken, Germany)
In real-world ML problems, models tend to suffer some degradation in terms of performance over time, due to changes in the concept of what is first learned by the model (concept drift), or due to significant changes in the variables used by the model (data/covariate drift). We present Frouros, a Python library capable of detecting drift using both supervised and unsupervised drift detection methods, and which can be easily integrated with scikit-learn.
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