code: def test_relieff_init():
      """Check: ReliefF constructor stores custom values correctly"""
      clf = ReliefF(
          n_features_to_select=7,
          n_neighbors=500,
          discrete_threshold=20,
          verbose=True,
          n_jobs=3,
      )
  
      assert clf.n_features_to_select == 7
      assert clf.n_neighbors == 500
      assert clf.discrete_threshold == 20
      assert clf.verbose == True
      assert clf.n_jobs == 3
  
imports: from skrebate import ReliefF, SURF, SURFstar, MultiSURF, MultiSURFstar
  from sklearn.pipeline import make_pipeline
  from sklearn.ensemble import RandomForestClassifier, RandomForestRegressor
  from sklearn.preprocessing import Imputer
  from sklearn.model_selection import cross_val_score
  import pandas
  import numpy
  import warnings
label_desc: Use image node_id 1 for calling a global function with example usage: test_relieff_init() without return types