reservoirpy.datasets.santafe_laser

reservoirpy.datasets.santafe_laser()

Load the Santa-Fe laser [25] dataset

The Santa-Fe laser dataset is a recording of a far-infrared laser activity in a chaotic state.

This is a static dataset of 10,093 timesteps and it is commonly used as a forecasting task in reservoir computing benchmarks.

This specific dataset was taken from James McNames laboratory website [1].

Returns:

Array of shape (10_093, 1).

Return type:

X

References

[25]

Weigend, A. S. (2018). Time series prediction: forecasting the future and understanding the past. Routledge.

[1]

McNames, J. (n.d.). McNames Data Sets. http://web.cecs.pdx.edu/mcnames/DataSets/index.html