test_funcs.py 文件源码

def __init__(self, dim=7):
        assert dim == 7
        centers = numpy.array([
            [.3, .8, .3, .6, .2, .8, .5],
            [.8, .3, .8, .2, .5, .2, .8],
            [.2, .7, .2, .5, .4, .7, .3],
        ])
        e_mat = numpy.array([
            [4, 4, 4, 4, 4, 4, 4],
            [4, 4, 4, 4, 4, 4, 4],
            [4, 4, 4, 4, 4, 4, 4],
        ])
        coefs = numpy.array([-5, 5, 5])

        def kernel(x):
            r2 = self.dist_sq(x, centers, e_mat)
            return 1 / numpy.sqrt(1 + r2)

        super(McCourt17, self).__init__(dim, kernel, e_mat, coefs, centers)
        self.min_loc = [.3125, .9166, .3125, .7062, .0397, .9270, .5979]
        self.fmin = -0.47089199032
        self.fmax = 4.98733340158
        self.classifiers = ['boring', 'unimodal']