Python fit示例

示例#1

文件： test_gaussian.py 项目： psederberg/kernel_exp_family

def test_score_matching_matches_sym():
    sigma = 1.
    lmbda = 1.
    Z = np.random.randn(100, 2)

    a_sym = develop_gaussian.fit_sym(Z, sigma, lmbda)
    a = gaussian.fit(Z, Z, sigma, lmbda)

    assert_allclose(a, a_sym)

示例#2

文件： test_gaussian.py 项目： JHamp/kernel_exp_family

def test_score_matching_matches_sym():
    sigma = 1.
    lmbda = 1.
    Z = np.random.randn(100, 2)
    
    a_sym = develop_gaussian.fit_sym(Z, sigma, lmbda)
    a = gaussian.fit(Z, Z, sigma, lmbda)
    
    assert_allclose(a, a_sym)

示例#3

文件： test_gaussian.py 项目： psederberg/kernel_exp_family

def test_score_matching_objective_matches_sym():
    sigma = 1.
    lmbda = 1.
    Z = np.random.randn(100, 2)

    K = gaussian_kernel(Z, sigma=sigma)
    J_sym = develop_gaussian.fit_sym(Z, sigma, lmbda, K)
    J = gaussian.fit(Z, Z, sigma, lmbda, K)

    assert_allclose(J, J_sym)

示例#4

文件： test_gaussian.py 项目： JHamp/kernel_exp_family

def test_score_matching_objective_matches_sym():
    sigma = 1.
    lmbda = 1.
    Z = np.random.randn(100, 2)
    
    K = gaussian_kernel(Z, sigma=sigma)
    J_sym = develop_gaussian.fit_sym(Z, sigma, lmbda, K)
    J = gaussian.fit(Z, Z, sigma, lmbda, K)
    
    assert_allclose(J, J_sym)