def test_sparse_dot(data, request):
X, _ = request.getfixturevalue(data)
K = linear_kernel(X)
K2 = np.zeros_like(K)
ds = get_dataset(X)
for i in range(X.shape[0]):
for j in range(i, X.shape[0]):
K2[i, j] = sparse_dot(ds, i, j)
K2[j, i] = K[i, j]
np.testing.assert_array_almost_equal(K, K2)
def test_sparse_dot():
for data in (bin_dense, bin_csr):
K = linear_kernel(data)
K2 = np.zeros_like(K)
ds = get_dataset(data)
for i in xrange(data.shape[0]):
for j in xrange(i, data.shape[0]):
K2[i, j] = sparse_dot(ds, i, j)
K2[j, i] = K[i, j]
assert_array_almost_equal(K, K2)
def test_sparse_dot():
for data in (bin_dense, bin_csr):
K = linear_kernel(data)
K2 = np.zeros_like(K)
ds = get_dataset(data)
for i in xrange(data.shape[0]):
for j in xrange(i, data.shape[0]):
K2[i, j] = sparse_dot(ds, i, j)
K2[j, i] = K[i, j]
assert_array_almost_equal(K, K2)