Source code for abydos.distance._sokal_sneath_iii

# Copyright 2018-2020 by Christopher C. Little.
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"""abydos.distance._sokal_sneath_iii.

Sokal & Sneath III similarity
"""

from ._token_distance import _TokenDistance

__all__ = ['SokalSneathIII']


[docs]class SokalSneathIII(_TokenDistance): r"""Sokal & Sneath III similarity. For two sets X and Y and a population N, Sokal & Sneath III similarity :cite:`Sokal:1963` is .. math:: sim_{SokalSneathIII}(X, Y) = \frac{|X \cap Y| + |(N \setminus X) \setminus Y|} {|X \triangle Y|} This is the third of five "Unnamed coefficients" presented in :cite:`Sokal:1963`. It corresponds to the "Unmatched pairs only in the Denominator" with "Negative Matches in Numerator Excluded". "Negative Matches in Numerator Included" corresponds to the Kulczynski I coefficient, :class:`.KulczynskiI`. In :ref:`2x2 confusion table terms <confusion_table>`, where a+b+c+d=n, this is .. math:: sim_{SokalSneathIII} = \frac{a+d}{b+c} .. versionadded:: 0.4.0 """ def __init__(self, tokenizer=None, intersection_type='crisp', **kwargs): """Initialize SokalSneathIII instance. Parameters ---------- tokenizer : _Tokenizer A tokenizer instance from the :py:mod:`abydos.tokenizer` package intersection_type : str Specifies the intersection type, and set type as a result: See :ref:`intersection_type <intersection_type>` description in :py:class:`_TokenDistance` for details. **kwargs Arbitrary keyword arguments Other Parameters ---------------- qval : int The length of each q-gram. Using this parameter and tokenizer=None will cause the instance to use the QGram tokenizer with this q value. metric : _Distance A string distance measure class for use in the ``soft`` and ``fuzzy`` variants. threshold : float A threshold value, similarities above which are counted as members of the intersection for the ``fuzzy`` variant. .. versionadded:: 0.4.0 """ super(SokalSneathIII, self).__init__( tokenizer=tokenizer, intersection_type=intersection_type, **kwargs )
[docs] def sim_score(self, src, tar): """Return the Sokal & Sneath III similarity of two strings. Parameters ---------- src : str Source string (or QGrams/Counter objects) for comparison tar : str Target string (or QGrams/Counter objects) for comparison Returns ------- float Sokal & Sneath III similarity Examples -------- >>> cmp = SokalSneathIII() >>> cmp.sim_score('cat', 'hat') 195.0 >>> cmp.sim_score('Niall', 'Neil') 111.0 >>> cmp.sim_score('aluminum', 'Catalan') 51.333333333333336 >>> cmp.sim_score('ATCG', 'TAGC') 77.4 .. versionadded:: 0.4.0 """ if src == tar: return float('inf') self._tokenize(src, tar) a = self._intersection_card() b = self._src_only_card() c = self._tar_only_card() d = self._total_complement_card() if a + d > 0 and b + c == 0: return float('inf') return (a + d) / (b + c)
[docs] def sim(self, *args, **kwargs): """Raise exception when called. Parameters ---------- *args Variable length argument list **kwargs Arbitrary keyword arguments Raises ------ NotImplementedError Method disabled for Sokal & Sneath III similarity. .. versionadded:: 0.3.6 """ raise NotImplementedError( 'Method disabled for Sokal & Sneath III similarity.' )
[docs] def dist(self, *args, **kwargs): """Raise exception when called. Parameters ---------- *args Variable length argument list **kwargs Arbitrary keyword arguments Raises ------ NotImplementedError Method disabled for Sokal & Sneath III similarity. .. versionadded:: 0.3.6 """ raise NotImplementedError( 'Method disabled for Sokal & Sneath III similarity.' )
if __name__ == '__main__': import doctest doctest.testmod()