reservoirpy.datasets.logistic_map# reservoirpy.datasets.logistic_map(n_timesteps, r=3.9, x0=0.5, **kwargs)[source]# Logistic map discrete timeseries [4] [5]. \[x(n+1) = rx(n)(1-x(n))\] Parameters: n_timesteps (int) – Number of timesteps to generate. r (float, default to 3.9) – \(r\) parameter of the system. x0 (float, default to 0.5) – Initial condition of the system. Returns: Logistic map discrete timeseries. Return type: array of shape (n_timesteps, 1) References