kedm.smap

kedm.smap(lib: numpy.ndarray[numpy.float32], pred: numpy.ndarray[numpy.float32], *, target: numpy.ndarray[numpy.float32] = None, E: int = 1, tau: int = 1, Tp: int = 1, theta: float = 1.0) numpy.ndarray[numpy.float32]

Predict a time series from another using S-Map.

Parameters:
  • lib – Library time series

  • pred – Prediction time series

  • target – Target time series (defaults to pred if None)

  • E – Embedding dimension

  • tau – Time delay

  • Tp – Prediction interval

  • theta – Neighbor localization exponent

Returns:

Prediction result