废弃的eval策略解析系统

        if splitter is None:
            if self.n_samples > self.max_n_samples_for_CV:
                self.logger.info(
                    f"TrainSet has {self.n_samples} samples,"
                    f" greater than max n_samples for Cross-Validation "
                    f"(max_n_samples_for_CV = {self.max_n_samples_for_CV}).")
                splitter = self.get_holdout_splitter()
            else:
                if self.k_folds == 1:
                    splitter = self.get_holdout_splitter()
                else:
                    splitter = self.get_cv_splitter()