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:point_up: Change point detection

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In the doc example demo.ipynb, the parameter net is initizlized with the string 'default': ``` cpd = OnlineNNClassifier(net='default', scaler="default", metric="KL_sym", periods=1, window_size=1, lag_size=100, step=1, n_epochs=10, lr=0.1, lam=0.0001, optimizer="Adam") ``` which...

The following code ``` from roerich.change_point import ChangePointDetectionRuLSIF alg = ChangePointDetectionRuLSIF() alg.predict(np.zeros((500, 3))) # just for example ``` throws an error: `RuntimeError: Expected all tensors to be on the same...

I use roerich on my own dataset, but the result is not so good. ![figure](https://user-images.githubusercontent.com/55573326/194822191-e935fce0-57f3-4930-90b3-2246daf2abd6.png) There are comments in the class `ChangePointDetection`: Parameters ---------- scaler: A scaler object is used...

Hello! Can I use not one, but several search parameters in the model Roerich for finding change point detections?