pyxpcm.pcm.score
- pcm.score(ds, features=None, dim=None)[source]
Compute the per-sample average log-likelihood of the given data
- 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:
- log_likelihood: float
In the case of a GMM classifier, this is the Log likelihood of the Gaussian mixture given data