class_docstr: Transforms datetime features into numeric features.
  
  Parameters
  ----------
  features : list, optional
      A list of datetime features to parse out of dates.
      For a full list of options see the methods inside pandas.Series.dt at https://pandas.pydata.org/docs/reference/api/pandas.Series.html
code: def _fit_transform(self, X: DataFrame, **kwargs) -> (DataFrame, dict):
      self._fillna_map = dict()
      X_out = self._transform(X, is_fit=True)
      type_family_groups_special = dict(
          datetime_as_int=list(X_out.columns)
      )
      return X_out, type_family_groups_special
  
file_path: autogluon/features/src/autogluon/features/generators/datetime.py
imports: import logging
  import numpy
  import pandas
  from pandas import DataFrame
  from autogluon.common.features.types import R_DATETIME, S_DATETIME_AS_OBJECT
  from .abstract import AbstractFeatureGenerator
label_desc: Use image node_id 2 for calling the DatetimeFeatureGenerator obj's underlying member method code with example usage: obj._fit_transform(X) and returns: X_out,  type_family_groups_special