From 230351240b5658bc3a9d31f25d248c706d9b193e Mon Sep 17 00:00:00 2001 From: agoscinski Date: Mon, 6 Mar 2023 18:10:04 +0100 Subject: [PATCH] Update tests/equisolve_tests/numpy/models/test_linear_model.py Co-authored-by: Philip Loche --- .../equisolve_tests/numpy/models/test_linear_model.py | 10 ++++------ 1 file changed, 4 insertions(+), 6 deletions(-) diff --git a/tests/equisolve_tests/numpy/models/test_linear_model.py b/tests/equisolve_tests/numpy/models/test_linear_model.py index 19d8374..5f8aa0b 100644 --- a/tests/equisolve_tests/numpy/models/test_linear_model.py +++ b/tests/equisolve_tests/numpy/models/test_linear_model.py @@ -81,12 +81,10 @@ def equisolve_solver_from_numpy_arrays(self, X_arr, y_arr, alpha_arr, sw_arr=Non num_targets = np.array([1000, 2187]) means = np.array([-0.5, 0, 0.1]) regularizations = np.geomspace(1e-5, 1e5, 3) - """ - For the tests using the paramaters above the number of properties always - needs to be less than the number of targets. - Otherwise, the property matrix will become singualar, - and the solution of the least squares problem would not be unique. - """ + # For the tests using the paramaters above the number of properties always + # needs to be less than the number of targets. + # Otherwise, the property matrix will become singualar, + # and the solution of the least squares problem would not be unique. @pytest.mark.parametrize("num_properties", num_properties) @pytest.mark.parametrize("num_targets", num_targets)