class_docstr: Class which replace Operation class for AtomizedModel object 
class_docstr_tok: ["Class","which","replace","Operation","class","for","AtomizedModel","object"]
code: def predict_for_fit(
      self,
      fitted_operation: "Pipeline",
      data: InputData,
      params: Optional[OperationParameters] = None,
      output_mode: str = "default",
  ) -> OutputData:
      return self.predict(fitted_operation, data, params, output_mode)
  
imports: from collections import Counter
  from datetime import timedelta
  from functools import reduce
  from operator import and_, or_
  from typing import Any, Callable, Dict, List, Optional, Set, Union
  from golem.core.tuning.simultaneous import SimultaneousTuner
  from fedot.core.data.data import InputData, OutputData
  from fedot.core.operations.operation import Operation
  from fedot.core.operations.operation_parameters import OperationParameters
  from fedot.core.pipelines.node import PipelineNode
  from fedot.core.pipelines.pipeline import Pipeline
  from fedot.core.pipelines.tuning.tuner_builder import TunerBuilder
  from fedot.core.repository.metrics_repository import MetricCallable
  from fedot.core.repository.operation_types_repository import OperationMetaInfo, atomized_model_type
label_desc: Use image node_id 4 for calling the AtomizedModel obj's underlying member method code with example usage: obj.predict_for_fit(fitted_operation, data, params, output_mode) and returns: self