class_docstr: Fills missing values in the data.
  
  Parameters
  ----------
  fillna_map : dict, default {'object': ''}
      Map which dictates the fill values of NaNs.
      Keys are the raw types of the features as in self.feature_metadata_in.type_map_raw.
      If a feature's raw type is not present in fillna_map, its NaN values are filled to fillna_default.
  fillna_default, default np.nan
      The default fillna value if the feature's raw type is not present in fillna_map.
      Be careful about setting this to anything other than np.nan, as not all raw types can handle int, float, or string values.
  inplace : bool, default False
      If True, then the NaN values are filled inplace without copying the input data.
      This will alter the input data outside of the scope of this function.
  **kwargs :
      Refer to :class:`AbstractFeatureGenerator` documentation for details on valid key word arguments.
code: def _more_tags(self):
      return {"feature_interactions": False}
  
file_path: autogluon/features/src/autogluon/features/generators/fillna.py
imports: import logging
  import warnings
  import numpy
  from pandas import DataFrame
  from autogluon.common.features.types import R_OBJECT
  from .abstract import AbstractFeatureGenerator
label_desc: Use image node_id 6 for calling the FillNaFeatureGenerator obj's underlying member method code with example usage: obj._more_tags() and returns: dict