parameters: (
          self,
          explanation_type,
          internal_obj,
          feature_names=None,
          feature_types=None,
          name=None,
          selector=None,
      )
docstring: Initializes class.
  
          Args:
              explanation_type:  Type of explanation.
              internal_obj: A jsonable object that backs the explanation.
              feature_names: List of feature names.
              feature_types: List of feature types.
              name: User-defined name of explanation.
              selector: A dataframe whose indices correspond to explanation entries.
docstring_summary: Initializes class.
docstring_tokens: Initializes class .
function: def __init__(
          self,
          explanation_type,
          internal_obj,
          feature_names=None,
          feature_types=None,
          name=None,
          selector=None,
      ):
          """ Initializes class.
  
          Args:
              explanation_type:  Type of explanation.
              internal_obj: A jsonable object that backs the explanation.
              feature_names: List of feature names.
              feature_types: List of feature types.
              name: User-defined name of explanation.
              selector: A dataframe whose indices correspond to explanation entries.
          """
          super(EBMExplanation, self).__init__(
              explanation_type,
              internal_obj,
              feature_names=feature_names,
              feature_types=feature_types,
              name=name,
              selector=selector,
          )
function_tokens: def __init__ ( self , explanation_type , internal_obj , feature_names = None , feature_types = None , name = None , selector = None , ) : super ( EBMExplanation , self ) . __init__ ( explanation_type , internal_obj , feature_names = feature_names , feature_types = feature_types , name = name , selector = selector , )