docstr: Predict method for regression task for predict stage
  :param trained_operation: model object
  :param predict_data: data used for prediction
  :return:
docstr_tok: ["Predict","method","for","regression","task","for","predict","stage",":","param","trained_operation",":","model","object",":","param","predict_data",":","data","used","for","prediction",":","return",":"]
code: def predict(
      self, trained_operation, predict_data: InputData
  ) -> OutputData:
      """
      Predict method for regression task for predict stage
      :param trained_operation: model object
      :param predict_data: data used for prediction
      :return:
      """
      prediction = trained_operation.predict(predict_data.features)
      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 1 for calling the SkLearnRegressionStrategy obj's underlying member method code with example usage: obj.predict(trained_operation, predict_data) and returns: converted