scikit-multiflow
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concept drift detection in batch incremental learning
How can concept drift detection be applied to batch incremental learning using scikit-multiflow, and what are the key considerations when dealing with concept drift in a batch incremental learning setting? And I saw this sentence "creme and and scikit-multiflow are merging into a new project called River." Does it mean that in new projects we do not need to use scikit-multiflow?
"How can concept drift detection be applied to batch incremental learning using scikit-multiflow"
Use the sliding window. In scikit-multiflow, you can find KNN implementation in batch; however, for other classifiers, you must implement your own logic.