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