pyxpcm.stat.robustness

pyxpcm.stat.robustness(ds, name='PCM_POST', classdimname='pcm_class', outname='PCM_ROBUSTNESS')

Compute classification robustness

Parameters:

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’ or str

Name of the xarray.DataArray with robustness

inplace: boolean, False by default

If False, return a xarray.DataArray with robustness If True, return the input xarray.Dataset with robustness added as a new xarray.DataArray

Returns:

xarray.Dataset if inplace=True

or

xarray.DataArray if inplace=False