pyxpcm.stat.robustness_digit¶

pyxpcm.stat.robustness_digit(ds, name='PCM_POST', classdimname='pcm_class', outname='PCM_ROBUSTNESS_CAT')[source]¶

Digitize classification robustness

Parameters:

ds: :class:`xarray.Dataset`: Input dataset
name: str, default is ‘PCM_POST’: Name of the xarray.DataArray with prediction probability (posteriors)
classdimname: str, default is ‘pcm_class’: Name of the dimension holding classes
outname: ‘PCM_ROBUSTNESS_CAT’ or str: Name of the xarray.DataArray with robustness categories
inplace: boolean, False by default: If False, return a xarray.DataArray with robustness If True, return the input xarray.Dataset with robustness categories added as a new xarray.DataArray

Returns: