pyxpcm.models.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 usingxarray.DataArray
attributes ‘feature_name’.- dim: str
Name of the vertical dimension in the input
xarray.Dataset
Returns: - bic: float
The lower the better