feat: drift detection API

adaptive-machine-learning / CapyMOA

Enhanced machine learning library tailored for data streams, featuring a Python API integrated with MOA backend support. This unique combination empowers users to leverage a wide array of existing algorithms efficiently while fostering the development of new methodologies in both Python and Java.

BSD 3-Clause "New" or "Revised" License

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feat: drift detection API #146

Closed vcerqueira closed 1 month ago

vcerqueira commented 2 months ago

First commit of drift detection API

Contains:

drift module (detectors + evaluator)
new tutorial notebook
tutorials index update

hmgomes commented 2 months ago

Hi @vcerqueira ! Thanks for creating this first PR concerning the drift detection API. I am going to review it ASAP and get back to you

hmgomes commented 1 month ago

Hi @vcerqueira, just a heads up that we are going to leave EDDM out for now. We realized it should expose more parameters through the MOA API, so it will require some changes in the MOA implementation

hmgomes commented 1 month ago

Hi @vcerqueira , just FYi that we created another PR that included all your changes + some changes on top of it and merged it (PR https://github.com/adaptive-machine-learning/CapyMOA/pull/160)