code: def test_MDS(self, algo):
      iris = datasets.load_iris()
      df = pdml.ModelFrame(iris)
  
      mod1 = getattr(df.manifold, algo)(random_state=self.random_state)
      mod2 = getattr(manifold, algo)(random_state=self.random_state)
  
      result = df.fit_transform(mod1)
      expected = mod2.fit_transform(iris.data)
  
      self.assertIsInstance(result, pdml.ModelFrame)
      tm.assert_index_equal(result.index, df.index)
      self.assert_numpy_array_almost_equal(result.data.values, expected)
  
file_path: pandas-ml/pandas_ml/skaccessors/test/test_manifold.py
imports: import pytest
  import numpy
  import sklearn.datasets
  import sklearn.manifold
  import pandas_ml
  import pandas_ml.util.testing
label_desc: Use image node_id 5 for calling the TestManifold obj's underlying member method code with example usage: obj.test_MDS(algo) without return types