kedm.edim¶
- kedm.edim(timeseries: numpy.ndarray[numpy.float32], E_max: int = 20, tau: int = 1, Tp: int = 1) int ¶
Estimate the optimal embedding dimension of a time series.
- Parameters:
timeseries – Time series
E_max – Maximum embedding dimension (E is varied from 1 to E_max)
tau – Time delay
Tp – Prediction interval
- Returns:
Optimal embedding dimension of the time series