class_docstr: Strategy for applying custom algorithms from FEDOT to preprocess data
  for regression task
class_docstr_tok: ["Strategy","for","applying","custom","algorithms","from","FEDOT","to","preprocess","data","for","regression","task"]
docstr: Transform method for preprocessing for fit stage
  
  :param trained_operation: model object
  :param predict_data: data used for prediction
  :return:
docstr_tok: ["Transform","method","for","preprocessing","for","fit","stage",":","param","trained_operation",":","model","object",":","param","predict_data",":","data","used","for","prediction",":","return",":"]
code: def predict_for_fit(
      self, trained_operation, predict_data: InputData
  ) -> OutputData:
      """
      Transform method for preprocessing for fit stage
  
      :param trained_operation: model object
      :param predict_data: data used for prediction
      :return:
      """
      prediction = trained_operation.transform_for_fit(predict_data)
      converted = self._convert_to_output(prediction, predict_data)
      return converted
  
imports: import warnings
  from typing import Optional
  from fedot.core.data.data import InputData, OutputData
  from fedot.core.operations.evaluation.evaluation_interfaces import EvaluationStrategy, SkLearnEvaluationStrategy
  from fedot.core.operations.evaluation.operation_implementations.data_operations.decompose import DecomposerRegImplementation
  from fedot.core.operations.evaluation.operation_implementations.data_operations.sklearn_filters import IsolationForestRegImplementation
  from fedot.core.operations.evaluation.operation_implementations.data_operations.sklearn_filters import LinearRegRANSACImplementation, NonLinearRegRANSACImplementation
  from fedot.core.operations.evaluation.operation_implementations.data_operations.sklearn_selectors import LinearRegFSImplementation, NonLinearRegFSImplementation
  from fedot.core.operations.evaluation.operation_implementations.models.knn import FedotKnnRegImplementation
  from fedot.core.operations.operation_parameters import OperationParameters
  from fedot.utilities.random import ImplementationRandomStateHandler
label_desc: Use image node_id 4 for calling the FedotRegressionPreprocessingStrategy obj's underlying member method code with example usage: obj.predict_for_fit(trained_operation, predict_data) and returns: converted