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Trouble running on data with multiple dimensions

Hello

I'm trying to run esnpy with my own data.

My data is given in the form X (a numpy array of shape (19000, 342)) and y (a numpy array of shape (19000, 1)) where X is the signal and y is the target.

I've tried running your examples but I run into problems because the dimensions are not exactly the same as yours.

Any help would be appreciated. Thanks in advance ๐Ÿ™

sklearn adapter

Create an adapter for scikit-learn model : SklearnTrainer

FutureWarning

When running the trajectories.py example, I get the following warning:

FutureWarning: arrays to stack must be passed as a "sequence" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future.

return np.hstack(map(reservoir.get, self._from))

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