code: def test_estimator_type():
      perm = PermutationImportance(LogisticRegression(), cv=3)
      assert is_classifier(perm)
  
      perm = PermutationImportance(RandomForestRegressor(), cv=3)
      assert is_regressor(perm)
  
imports: import pytest
  import numpy
  from sklearn.base import is_classifier, is_regressor
  from sklearn.svm import SVR, SVC
  from sklearn.ensemble import RandomForestRegressor, RandomForestClassifier
  from sklearn.model_selection import train_test_split, cross_val_score
  from sklearn.pipeline import make_pipeline
  from sklearn.feature_selection import SelectFromModel
  from sklearn.linear_model import LogisticRegression
  import eli5
  from eli5.sklearn import PermutationImportance
  from .utils import format_as_all
label_desc: Use image node_id 9 for calling a global function with example usage: test_estimator_type() without return types