def fleiss_kappa_linear(dataset, **kwargs):
'''
Calculates Fleiss' :math:`\kappa` (or multi-:math:`\kappa`), originally proposed in
[DaviesFleiss1982]_. For 2 coders, this is equivalent to Cohen's :math:`\kappa`
[Cohen1960]_.
'''
return __fnc_metric__(__fleiss_kappa_linear__, dataset, **kwargs)
def fleiss_pi_linear(dataset, **kwargs):
'''
Calculates Fleiss' :math:`\pi` (or multi-:math:`\pi`), originally proposed in
[Fleiss1971]_, and is equivalent to Siegel and Castellan's :math:`K`
[SiegelCastellan1988]_. For 2 coders, this is equivalent to Scott's :math:`\pi`
[Scott1955]_.
'''
return __fnc_metric__(__fleiss_pi_linear__, dataset, **kwargs)
def fleiss_pi_linear(dataset, **kwargs):
'''
Calculates Fleiss' :math:`\pi` (or multi-:math:`\pi`), originally proposed in
[Fleiss1971]_, and is equivalent to Siegel and Castellan's :math:`K`
[SiegelCastellan1988]_. For 2 coders, this is equivalent to Scott's :math:`\pi`
[Scott1955]_.
'''
return __fnc_metric__(__fleiss_pi_linear__, dataset, **kwargs)
def artstein_poesio_bias_linear(dataset, **kwargs):
'''
Artstein and Poesio's annotator bias [ArtsteinPoesio2008]_.
'''
return __fnc_metric__(__artstein_poesio_bias_linear__, dataset, **kwargs)