PyRCN
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A Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.
Consider cleaning the input argument for activation function in the Input-to-Node module init method
Hello! Thanks for the amazing package! I'm trying to create a ESN that has multiple reservoirs, but only one readout, and I'm having trouble figuring out how to get it...
This would allow to export a trained model http://onnx.ai/sklearn-onnx/
Since probabilities cannot be larger than 1.0, this would make the functions predict_proba(X) more meaningful. Currently, I do not see additional benefits.
I am using PyRCN version PyRCN-0.0.17 and the mackeyglass example. I would like to know how to modify the example to predict multiple steps ahead instead of 1 step ahead...
Hi, I'm exploring this tool as a part of my research on RCN and wanted to see if this would help me learn and test for my application. But so...