コード例 #1
0
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)
コード例 #2
0
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)
コード例 #3
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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)
コード例 #4
0
ファイル: gaussian.py プロジェクト: 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)