def test_multiple_feature_weight(self):
A = np.array([[1, 2], [3, 4], [5, 6]])
B = np.array([[1], [1], [1]])
C = multiple_feature_weight(A, B)
np.testing.assert_equal(C, A)
B = np.array([[2], [2], [2]])
C = multiple_feature_weight(A, B)
np.testing.assert_equal(C, np.array([[2, 4], [6, 8], [10, 12]]))
B = np.array([[1, 2], [2, 1], [1, 2]])
C = multiple_feature_weight(A, B)
np.testing.assert_equal(
C, np.array([[1, 2, 2, 4], [6, 3, 8, 4], [5, 10, 6, 12]]))
def test_multiple_feature_weight(self):
A = np.array([[1,2],[3,4],[5,6]])
B = np.array([[1],[1],[1]])
C = multiple_feature_weight(A, B)
np.testing.assert_equal(C, A)
B = np.array([[2],[2],[2]])
C = multiple_feature_weight(A, B)
np.testing.assert_equal(C, np.array([[2,4],[6,8],[10,12]]))
B = np.array([[1,2],[2,1],[1,2]])
C = multiple_feature_weight(A, B)
np.testing.assert_equal(C, np.array([[ 1, 2, 2, 4],
[ 6, 3, 8, 4],
[ 5, 10, 6, 12]]))
def _pre_propcess(self, blend, X):
X = multiple_feature_weight(blend, self.feature_func(X))
return X
def _pre_propcess(self, blend, X):
X = multiple_feature_weight(blend, self.feature_func(X))
return X
