Module « scipy.spatial.distance »

Fonction rogerstanimoto - module scipy.spatial.distance

Signature de la fonction rogerstanimoto

def rogerstanimoto(u, v, w=None) 

Description

rogerstanimoto.__doc__

    Compute the Rogers-Tanimoto dissimilarity between two boolean 1-D arrays.

    The Rogers-Tanimoto dissimilarity between two boolean 1-D arrays
    `u` and `v`, is defined as

    .. math::
       \frac{R}
            {c_{TT} + c_{FF} + R}

    where :math:`c_{ij}` is the number of occurrences of
    :math:`\mathtt{u[k]} = i` and :math:`\mathtt{v[k]} = j` for
    :math:`k < n` and :math:`R = 2(c_{TF} + c_{FT})`.

    Parameters
    ----------
    u : (N,) array_like, bool
        Input array.
    v : (N,) array_like, bool
        Input array.
    w : (N,) array_like, optional
        The weights for each value in `u` and `v`. Default is None,
        which gives each value a weight of 1.0

    Returns
    -------
    rogerstanimoto : double
        The Rogers-Tanimoto dissimilarity between vectors
        `u` and `v`.

    Examples
    --------
    >>> from scipy.spatial import distance
    >>> distance.rogerstanimoto([1, 0, 0], [0, 1, 0])
    0.8
    >>> distance.rogerstanimoto([1, 0, 0], [1, 1, 0])
    0.5
    >>> distance.rogerstanimoto([1, 0, 0], [2, 0, 0])
    -1.0