code: def test_estimator_checks(test_fn):
      mod_quantile = GMMOutlierDetector(
          threshold=0.999, method="quantile"
      )
      clf_quantile = OutlierClassifier(mod_quantile)
      test_fn("OutlierClassifier", clf_quantile)
  
file_path: scikit-lego/tests/test_meta/test_outlier_classifier.py
imports: import numpy
  import pytest
  from sklearn.ensemble import IsolationForest
  from sklearn.linear_model import LinearRegression
  from sklearn.neighbors import LocalOutlierFactor
  from sklearn.svm import OneClassSVM
  from sklego.common import flatten
  from sklego.meta import OutlierClassifier
  from sklego.mixture import GMMOutlierDetector
  from tests.conftest import general_checks, select_tests
label_desc: Use image node_id 1 for calling a global function with example usage: test_estimator_checks(test_fn) without return types