class_docstr: Base Class for Building a model
class_docstr_tok: ["Base","Class","for","Building","a","model"]
docstr: Refits an already trained model using a new dataset
  Useful when fitting to the full data after testing with cross validation
  :param ts_df The time series data to be used for fitting the model
  :type ts_df pd.DataFrame
  :rtype object
docstr_tok: ["Refits","an","already","trained","model","using","a","new","dataset","Useful","when","fitting","to","the","full","data","after","testing","with","cross","validation",":","param","ts_df","The","time","series","data","to","be","used","for","fitting","the","model",":","type","ts_df","pd.DataFrame",":","rtype","object"]
code: def refit(self, ts_df: pd.DataFrame) -> object:
      """
      Refits an already trained model using a new dataset
      Useful when fitting to the full data after testing with cross validation
      :param ts_df The time series data to be used for fitting the model
      :type ts_df pd.DataFrame
      :rtype object
      """
  
file_path: Auto_TS/auto_ts/models/build_base.py
imports: from typing import Optional, List
  from abc import ABC, abstractmethod
  import pandas
  from pandas.core.generic import NDFrame
label_desc: Use image node_id 3 for calling the BuildBase obj's underlying member method code with example usage: obj.refit(ts_df) without return types