679e77b78f7ba906cd2e6aa18366fa8facd153db,autosklearn/evaluation/abstract_evaluator.py,AbstractEvaluator,file_output,#AbstractEvaluator#Any#Any#Any#,266

Before Change

        if not np.all(np.isfinite(Y_optimization_pred)):
            return 1.0, "Model predictions for optimization set contains NaNs."
        if Y_valid_pred is not None and \
                not np.all(np.isfinite(Y_valid_pred)):
            return 1.0, "Model predictions for validation set contains NaNs."
        if Y_test_pred is not None and \
                not np.all(np.isfinite(Y_test_pred)):
            return 1.0, "Model predictions for test set contains NaNs."

After Change

        for y, s in [[Y_valid_pred, "validation"],
                  [Y_test_pred, "test"]]:
            if y is not None and not np.all(np.isfinite(y)):
                return 1.0, "Model predictions for %s set contains NaNs." % s

        num_run = str(self.num_run).zfill(5)
        if os.path.exists(self.backend.get_model_dir()):
            self.backend.save_model(self.model, self.num_run, seed)

Instances