Concept drift detection algorithms

Dears ,I am looking for an algorithms that can be used to monitor the health of a productive model build based on supervised data .How can I define the time when the model must be updated or retrained with the new available data. The input data of the productive model is changing by nature with time and other factors . Hope that someone can guide me to solve the matter

Answer 1

[Pierre Harouimi]

Maybe you can have a look at this documentation page: https://se.mathworks.com/help/stats/incremental-learning-overview.html

[Asad Elmgerbi]

Thanks a lot for your support .

I tried to apply the function incrementalLearner in my matlab version (2019a), but it said the function undefined. Can you please help me ? How can I install the 'incrementalLearner'?.

[Pierre Harouimi]

No pb. The function has been added in the R2020b... That is why you cannot find it. Could you upgrade your version?