code: def test_transform(self, algo):
      iris = datasets.load_iris()
      df = pdml.ModelFrame(iris)
  
      mod1 = getattr(df.preprocessing, algo)()
      mod2 = getattr(pp, algo)()
  
      self._assert_transform(df, iris.data, mod1, mod2)
  
      mod1 = getattr(df.preprocessing, algo)()
      mod2 = getattr(pp, algo)()
      self._assert_fit_transform(df, iris.data, mod1, mod2)
  
imports: import pytest
  import numpy
  import pandas
  import sklearn.datasets
  import sklearn.preprocessing
  import pandas_ml
  import pandas_ml.util.testing
label_desc: Use image node_id 10 for calling the TestPreprocessing obj's underlying member method code with example usage: obj.test_transform(algo) without return types