Exemple #1
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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)
Exemple #2
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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)
Exemple #3
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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)
Exemple #4
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def artstein_poesio_bias_linear(dataset, **kwargs):
    '''
    Artstein and Poesio's annotator bias [ArtsteinPoesio2008]_.
    '''
    return __fnc_metric__(__artstein_poesio_bias_linear__, dataset, **kwargs)