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Online and batch-based concept and data drift detection algorithms to monitor and maintain ML performance.

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**As experimental code, this serves as an outline of the NLP framework rather than final versions.** Closes #152 # Added - transforms **(`Representation` removed)** related to `alibi-detect` example - basic...

### Task Migrate `experimental` into `menelaus` proper. - [ ] assure testing/formatting is finished - [ ] rename to `nlp` for now -- we may merge detector, alarm, and transform...

enhancement
new detector
new partitioner
nlp

### Task - [x] correct / fill in docstrings for added components - [x] add top-level docstrings - [x] fill out prose for example notebook

documentation
nlp

### Task - [ ] unit tests for added components - [ ] verify output and results in example notebook, adding plots where relevant

unit tests
nlp

- kdqtree and HDDDM have different default behaviors: static window for the former, updating window for the latter. This choice was because kdqtree's transform is expensive to run. - It...

enhancement