docstr: Whether to keep features of 'datetime' raw type and 'object' features identified as 'datetime_as_object' features.
  These features will be converted to 'int' features representing milliseconds since epoch.
  Appends DatetimeFeatureGenerator() to the generator group.
docstr_tok: ["Whether","to","keep","features","of","'datetime","'","raw","type","and","'object","'","features","identified","as","'datetime_as_object","'","features",".","These","features","will","be","converted","to","'int","'","features","representing","milliseconds","since","epoch",".","Appends","DatetimeFeatureGenerator","(",")","to","the","generator","group","."]
code: def enable_datetime_features(
      self, value: bool = True
  ) -> FeatureGeneratorBuilder:
      """
      Whether to keep features of 'datetime' raw type and 'object' features identified as 'datetime_as_object' features.
      These features will be converted to 'int' features representing milliseconds since epoch.
      Appends DatetimeFeatureGenerator() to the generator group.
      """
      self.config["enable_datetime_features"] = value
      return self
  
imports: from __future__ import annotations
  import copy
  from typing import Union
  from sklearn.base import BaseEstimator
  from autogluon.core.scheduler import scheduler_factory
  from autogluon.features import AutoMLPipelineFeatureGenerator
  from autogluon.tabular.configs.hyperparameter_configs import hyperparameter_config_dict
  from autogluon.tabular.configs.presets_configs import tabular_presets_dict
  from autogluon.tabular.trainer.model_presets.presets import MODEL_TYPES
label_desc: Use image node_id 4 for calling the FeatureGeneratorBuilder obj's underlying member method code with example usage: obj.enable_datetime_features(value) and returns: self