sidpy.proc.mcp_server_beps.fit_sho_response

sidpy.proc.mcp_server_beps.fit_sho_response(real_data: Sequence[Any], frequency: Sequence[float], *, imag_data: Sequence[Any] | None = None, use_kmeans: bool = False, n_clusters: int = 10, return_cov: bool = False, loss: str = 'linear', f_scale: float = 1.0, lower_bounds: Sequence[float] | None = None, upper_bounds: Sequence[float] | None = None, chunks: Any = 'auto', dataset_name: str = 'sho_response_data') → Dict[str, Any]

Fit SHO response data where the last axis contains the frequency sweep.