Python GaussianQuadraticTest.gk示例

示例#1

文件： test_gaussianQuadraticTest.py 项目： kacperChwialkowski/mcmc

 def test_gk_multiple_equals_gk(self):
     N = 10
     X = np.random.randn(N)
     me = GaussianQuadraticTest(self.grad_log_normal)
     GK = me.gk_multiple(X)
      
     for i in range(N):
         for j in range(N):
             gk = me.gk(X[i], X[j])
             assert_almost_equal(GK[i, j], gk)

示例#2

文件： test_gaussianQuadraticTest.py 项目： zhushy/kernel_goodness_of_fit

    def test_gk_multiple_equals_gk(self):
        N = 10
        X = np.random.randn(N)
        me = GaussianQuadraticTest(self.grad_log_normal)
        GK = me.gk_multiple(X)

        for i in range(N):
            for j in range(N):
                gk = me.gk(X[i], X[j])
                assert_almost_equal(GK[i, j], gk)