code: def split_fn():
      return k_fold_splitter(n_splits=2, random_state=30)
  
imports: import pandas
  import pytest
  from toolz.curried import first
  from fklearn.metrics.pd_extractors import evaluator_extractor
  from fklearn.training.classification import logistic_classification_learner
  from fklearn.tuning.utils import get_used_features
  from fklearn.tuning.selectors import feature_importance_backward_selection, poor_man_boruta_selection, backward_subset_feature_selection
  from fklearn.validation.evaluators import roc_auc_evaluator
  from fklearn.validation.splitters import k_fold_splitter
  from tests import LOGS, PARALLEL_LOGS
label_desc: Use image node_id 9 for calling a global function with example usage: split_fn() and returns: k_fold_splitter