code: def test_itml(self):
      check_estimator(ITML_Supervised())
  
imports: import pytest
  import unittest
  from sklearn.utils.estimator_checks import check_estimator
  from sklearn.base import TransformerMixin
  from sklearn.pipeline import make_pipeline
  from sklearn.utils import check_random_state
  from metric_learn.sklearn_shims import assert_allclose_dense_sparse, set_random_state, _get_args, is_public_parameter, get_scorer
  from metric_learn import Covariance, LFDA, LMNN, MLKR, NCA, ITML_Supervised, LSML_Supervised, MMC_Supervised, RCA_Supervised, SDML_Supervised, SCML_Supervised
  from sklearn import clone
  import numpy
  from sklearn.model_selection import cross_val_score, cross_val_predict, train_test_split, KFold
  from test.test_utils import metric_learners, ids_metric_learners, mock_preprocessor, tuples_learners, ids_tuples_learners, pairs_learners, ids_pairs_learners, remove_y, metric_learners_pipeline, ids_metric_learners_pipeline
label_desc: Use image node_id 7 for calling the TestSklearnCompat obj's underlying member method code with example usage: obj.test_itml() without return types