code: def transform(self, X):
      return X.map_partitions(
          lambda x: self.to_vec(x.values.sum(axis=-1))
      )
  
imports: import dask.dataframe
  import numpy
  import packaging.version
  import pandas
  import pytest
  import sklearn.compose
  import sklearn.pipeline
  import sklearn.preprocessing
  from sklearn.base import BaseEstimator, clone
  import dask_ml.compose
  import dask_ml.preprocessing
  from dask_ml._compat import SK_VERSION
label_desc: Use image node_id 3 for calling the SumTransformer obj's underlying member method code with example usage: obj.transform(X) and returns: X