code: def transform(self, func, *args, **kwargs):
      if isinstance(func, GroupedEstimator):
          return ModelPredictor.transform(self, func, *args, **kwargs)
      else:
          return pd.core.groupby.DataFrameGroupBy.transform(
              self, func, *args, **kwargs
          )
  
imports: import pandas
  import pandas.compat
  from pandas_ml.compat import Appender
  from pandas_ml.core.base import _BaseEstimator
  from pandas_ml.core.frame import ModelFrame
  from pandas_ml.core.generic import ModelPredictor, _shared_docs
  from pandas_ml.core.series import ModelSeries
label_desc: Use image node_id 1 for calling the ModelFrameGroupBy obj's underlying member method code with example usage: obj.transform(func) and returns: ModelPredictor, pd