def METHOD_NAME(
    self,
    X_train,
    y_train,
    X_validation,
    y_validation,
    model_file_path,
    learner_name,
    target_name=None,
    class_names=None,
    metric_name=None,
    ml_task=None,
    explain_level=2,
):
    # do not produce feature importance for Baseline
    if self.algorithm_short_name == "Baseline":
        return
    if explain_level > 0:
        PermutationImportance.compute_and_plot(
            self,
            X_validation,
            y_validation,
            model_file_path,
            learner_name,
            metric_name,
            ml_task,
            self.params.get("n_jobs", -1),
        )
    if explain_level > 1:
        PlotSHAP.compute(
            self,
            X_train,
            y_train,
            X_validation,
            y_validation,
            model_file_path,
            learner_name,
            class_names,
            ml_task,
        )