def classify_fisher(self, x):
        """ Classifies the given points thanks to the previous training.

        Parameters
        ----------
        x : list of points from the first class, given as
            [[x0,...,xD],...,[z0,...,zD]] where D is the number of dimensions

        Returns
        -------
        list of integers
            [c0,c1,...,cM] : where ci is the class of the ith point for each i
            from 0 to M, and ci = 0 or ci = 1

        """
	x = np.asarray(x)
	return ((self.c >= x.dot(self.w)).astype(int)).tolist()
dataset/ETHPy150Open vicgalle/machine-learning/fisher.py/Fisher.classify_fisher/swapped operands of `>=`