code: def test_transformer_params(self):
      pf = dpp.PolynomialFeatures(
          degree=3, interaction_only=True, include_bias=False
      )
      pf.fit(X)
      assert pf._transformer.degree == pf.degree
      assert pf._transformer.interaction_only is pf.interaction_only
      assert pf._transformer.include_bias is pf.include_bias
  
imports: from copy import copy
  import dask
  import dask.array
  import dask.dataframe
  import numpy
  import pandas
  import pandas.testing
  import pytest
  import sklearn.preprocessing
  from dask import compute
  from dask.array.utils import assert_eq
  from dask.dataframe.utils import assert_eq
  from pandas.api.types import is_categorical_dtype, is_object_dtype
  from sklearn.exceptions import NotFittedError
  import dask_ml.preprocessing
  from dask_ml.datasets import make_classification
  from dask_ml.utils import assert_estimator_equal
label_desc: Use image node_id 7 for calling the TestPolynomialFeatures obj's underlying member method code with example usage: obj.test_transformer_params() without return types