code: def predict(
      self, X: pd.DataFrame, y: typing.Optional[pd.DataFrame] = None
  ) -> pd.DataFrame:
      prediction = self._predict(X, y)
      for col, series in prediction.iteritems():
          assert series.dtype == float, (col, series)
      np.testing.assert_array_almost_equal(
          prediction.sum(axis="columns").to_numpy(),
          np.ones(X.shape[0]),
          err_msg=prediction.to_csv(),
      )
      return prediction
  
imports: import typing
  import copy
  import itertools
  import numpy
  import pandas
  import scipy.stats
  import sklearn.ensemble
label_desc: Use image node_id 2 for calling the AbstractSelector obj's underlying member method code with example usage: obj.predict(X, y) and returns: prediction