def test_page_rank_derivative():
w = [1, 1]
psi = np.array([[[[0, 0], [1, 1], [1, 1]], [[1, 1], [0, 0], [1, 1]],
[[1, 1], [1, 1], [0, 0]]]])
A = edge_strength(psi, w)
dA = edge_strength_derivative(psi, w)
Q_prime = stochastic_transition_matrix(A)
Q = final_transition_matrix(Q_prime, alpha=0.3)
Q_derivative = final_transition_matrix_derivative(Q, A, dA)
p = page_rank_vector(adjacency_matrix(), Q)
dP = page_rank_derivative(p, Q, Q_derivative, w)
raise Exception(dP)
def test_page_rank_derivative():
w = [1,1]
psi = np.array([[
[[0,0],[1,1],[1,1]],
[[1,1],[0,0],[1,1]],
[[1,1],[1,1],[0,0]]
]])
A = edge_strength(psi, w)
dA = edge_strength_derivative(psi, w)
Q_prime = stochastic_transition_matrix(A)
Q = final_transition_matrix(Q_prime, alpha=0.3)
Q_derivative = final_transition_matrix_derivative(Q, A, dA)
p = page_rank_vector(adjacency_matrix(), Q)
dP = page_rank_derivative(p, Q, Q_derivative, w)
raise Exception(dP)
def edge_strength_test_returns_a_sum_of_feature_strengths():
v = edge_strength(psi(), w_func()) == np.array([[5,3],[3,7]])
assert_equal(v.all(), True)
def edge_strength_test_returns_a_two_dimensional_array():
v = edge_strength([[[[1,1]]]], [1,1])
assert_equal(np.shape(v), (1,1))
def edge_strength_test_returns_a_sum_of_feature_strengths():
v = edge_strength(psi(), w_func()) == np.array([[5, 3], [3, 7]])
assert_equal(v.all(), True)
def edge_strength_test_returns_a_two_dimensional_array():
v = edge_strength([[[[1, 1]]]], [1, 1])
assert_equal(np.shape(v), (1, 1))
