class_docstr: base model for automl tuning
class_docstr_tok: ["base","model","for","automl","tuning"]
docstr: optimize and evaluate for one iteration for tuning
  :param data: train data
  :param validation_data: validation data
  
  :return: A Dictionary
docstr_tok: ["optimize","and","evaluate","for","one","iteration","for","tuning",":","param","data",":","train","data",":","param","validation_data",":","validation","data",":","return",":","A","Dictionary"]
code: def fit_eval(self, data, validation_data=None, **kwargs):
      """
      optimize and evaluate for one iteration for tuning
      :param data: train data
      :param validation_data: validation data
  
      :return: A Dictionary
      """
      invalidInputError(False, "not implement")
  
file_path: BigDL/python/orca/src/bigdl/orca/automl/model/abstract.py
imports: from abc import ABC, abstractmethod
  from bigdl.dllib.utils.log4Error import *
label_desc: Use image node_id 1 for calling the BaseModel obj's underlying member method code with example usage: obj.fit_eval(data, validation_data) without return types