def test_load(self):
kernel = Covariance(RBF(1) * RBF(1) + RationalQuadratic(1))
gp_model = GPModel(kernel)
file_name = "test_save"
out_file_name = gp_model.save(file_name)
self.addCleanup(os.remove, out_file_name)
new_gp_model = GPModel.load(out_file_name)
self.assertIsInstance(new_gp_model, GPModel)
self.assertEqual(gp_model.covariance.infix, new_gp_model.covariance.infix)
def load_best_model(self) -> GPModel:
return GPModel.load(self.best_model_filename)
