class_docstr: base model for data imputation
class_docstr_tok: ["base","model","for","data","imputation"]
docstr: fill in missing values in the dataframe
  :param df: dataframe containing missing values
  :return: dataframe without missing values
docstr_tok: ["fill","in","missing","values","in","the","dataframe",":","param","df",":","dataframe","containing","missing","values",":","return",":","dataframe","without","missing","values"]
code: def impute(self, df):
      """
      fill in missing values in the dataframe
      :param df: dataframe containing missing values
      :return: dataframe without missing values
      """
      raise NotImplementError
  
file_path: analytics-zoo/pyzoo/zoo/chronos/autots/deprecated/preprocessing/impute/abstract.py
imports: import numpy
  import pandas
  import sklearn.metrics
  from abc import ABC, abstractmethod
label_desc: Use image node_id 1 for calling the BaseImpute obj's underlying member method code with example usage: obj.impute(df) without return types