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A simple and flexible code for Reservoir Computing architectures like Echo State Networks

Results 37 reservoirpy issues
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Hello, many thanks for providing your great library. I tried to develop an adapter class for ReservoirPy so that it fits the API of scikit-learn. It seems as if this...

enhancement
question

Hello. I want to use this library to compare my from scratch code's results but when I try to use your washout parameter, I come across with this error. I...

help wanted
v0.2

Hi, Thank you for this library. Currently, I am trying to use online learning as demonstrated in [https://github.com/reservoirpy/reservoirpy/blob/master/tutorials/Online learning/online_learning_example_MackeyGlass.py](https://github.com/reservoirpy/reservoirpy/blob/master/tutorials/Online%20learning/online_learning_example_MackeyGlass.py) for a **classification** task. The input dataset is of the shape...

I wonder why do we have to split data into half equally when we are creating X and y. Why doesn't the algorithm support different ratios such as 0.8? I...

I have the following program predicting the next step ahead on the Mackey-glass dataset. If I manually change the data in the prediction range of X_test to all zeros the...

Hi there, While trying to reuse the code of the documentation for hyperparameters optimization, I found that the variables scopes for the datasets are not correct, with the `objective` function...

Sorry I had an issue opened but I accidentally closed it. So with many other AI techniques like transformers you have the ability to see which variables contribute the most...

- [ ] Compute Lyapunov exponent - [x] Compute effective spectral radius - [ ] Update spectral radius without recomputing eigenvalues - [ ] C++ backend

good first issue

Could autograd be implemented so that the jacobian of the nodes be computed? Thanks!

enhancement
fixed in v0.4