test_funcs.py 文件源码

def __init__(self, dim=4):
        assert dim == 4
        centers = numpy.array([
            [.3, .8, .3, .6],
            [.4, .9, .4, .7],
        ])
        e_mat = numpy.array([
            [5, 5, 5, 5],
            [5, 5, 5, 5],
        ])
        coefs = numpy.array([-5, 5])

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

        super(McCourt16, self).__init__(dim, kernel, e_mat, coefs, centers)
        self.min_loc = [.1858, .6858, .1858, .4858]
        self.fmin = -0.84221700966
        self.fmax = 0.84132432380
        self.classifiers = ['boring', 'unimodal']