Python rff_feature_map_grad2示例

示例#1

def test_rff_feature_map_derivatives2_equals_feature_map_derivatives2_loop():
    N = 10
    D = 20
    m = 3
    X = np.random.randn(N, D)
    omega = np.random.randn(D, m)
    u = np.random.uniform(0, 2 * np.pi, m)

    derivatives = rff_feature_map_grad2(X, omega, u)
    derivatives_loop = rff_feature_map_grad2_loop(X, omega, u)

    assert_allclose(derivatives_loop, derivatives)

示例#2

文件： test_kernels.py 项目： JHamp/kernel_exp_family

def test_rff_feature_map_derivatives2_equals_feature_map_derivatives2_loop():
    N = 10
    D = 20
    m = 3
    X = np.random.randn(N, D)
    omega = np.random.randn(D, m)
    u = np.random.uniform(0, 2 * np.pi, m)
    
    derivatives = rff_feature_map_grad2(X, omega, u)
    derivatives_loop = rff_feature_map_grad2_loop(X, omega, u)
    
    assert_allclose(derivatives_loop, derivatives)

示例#3

def compute_b_memory(X, omega, u):
    assert len(X.shape) == 2
    Phi2 = rff_feature_map_grad2(X, omega, u)
    return -np.mean(np.sum(Phi2, 0), 0)

示例#4

文件： gaussian.py 项目： JHamp/kernel_exp_family

def compute_b_memory(X, omega, u):
    assert len(X.shape) == 2
    Phi2 = rff_feature_map_grad2(X, omega, u)
    return -np.mean(np.sum(Phi2, 0), 0)