class_docstr: Preparing data for model training and inferencing.
class_docstr_tok: ["Preparing","data","for","model","training","and","inferencing","."]
docstr: config is designed to configure and parameters that cannot be learned from the data
docstr_tok: ["config","is","designed","to","configure","and","parameters","that","can","not","be","learned","from","the","data"]
code: def config(self, **kwargs):
      """
      config is designed to configure and parameters that cannot be learned from the data
      """
      super().config(**kwargs)
  
imports: from ...utils.serial import Serializable
  from typing import Callable, Union, List, Tuple, Dict, Text, Optional
  from ...utils import init_instance_by_config, np_ffill, time_to_slc_point
  from ...log import get_module_logger
  from .handler import DataHandler, DataHandlerLP
  from copy import copy, deepcopy
  from inspect import getfullargspec
  import pandas
  import numpy
  import bisect
  from ...utils import lazy_sort_index
  from .utils import get_level_index
label_desc: Use image node_id 2 for calling the Dataset obj's underlying member method code with example usage: obj.config() without return types