cvvs

def binary_jaccard_index(predictions,targets):
    """Computes the binary (generalized) Jaccard index between predictions and targets.
    .. math:: L_i  = \\sum_i{\\min(p_i,t_i} / \\sum_i{\\max(p_i,t_i}
    Parameters
    ----------
    predictions : Theano tensor
        Predictions in [0, 1], such as a sigmoidal output of a neural network,
        giving the probability of the positive class
    targets : Theano tensor
        Targets in {0, 1}, such as ground truth labels.