pyxpcm.pcm.bic¶

pcm.bic(self, ds, features=None, dim=None)[source]¶

Compute Bayesian information criterion for the current model on the input dataset

Only for a GMM classifier

Parameters:	ds: :class:`xarray.Dataset` The dataset to work with features: dict() Definitions of PCM features in the input `xarray.Dataset`. If not specified or set to None, features are identified using `xarray.DataArray` attributes ‘feature_name’. dim: str Name of the vertical dimension in the input `xarray.Dataset`
Returns:	bic: float The lower the better