docstr: Method to initialize ``GPAlgorithmParameters``
docstr_tok: ["Method","to","initialize","``","GPAlgorithmParameters","``"]
code: def init_optimizer_params(
      self, multi_objective: bool
  ) -> GPAlgorithmParameters:
      """Method to initialize ``GPAlgorithmParameters``"""
      gp_algorithm_parameters = (
          self._params_repository.get_params_for_gp_algorithm_params(
              self.data
          )
      )
  
      self.optimizer_params = GPAlgorithmParameters(
          multi_objective=multi_objective, **gp_algorithm_parameters
      )
      return self.optimizer_params
  
imports: import datetime
  from collections import UserDict
  from copy import deepcopy, copy
  from typing import Any, Dict, Optional, Union
  from golem.core.log import LoggerAdapter, default_log
  from golem.core.optimisers.genetic.gp_params import GPAlgorithmParameters
  from golem.core.optimisers.optimizer import GraphGenerationParams
  from golem.utilities.utilities import determine_n_jobs
  from fedot.api.api_utils.api_params_repository import ApiParamsRepository
  from fedot.api.api_utils.presets import OperationsPreset
  from fedot.core.constants import AUTO_PRESET_NAME, DEFAULT_FORECAST_LENGTH
  from fedot.core.data.data import InputData
  from fedot.core.data.multi_modal import MultiModalData
  from fedot.core.pipelines.adapters import PipelineAdapter
  from fedot.core.pipelines.pipeline_advisor import PipelineChangeAdvisor
  from fedot.core.pipelines.pipeline_composer_requirements import PipelineComposerRequirements
  from fedot.core.pipelines.pipeline_node_factory import PipelineOptNodeFactory
  from fedot.core.pipelines.verification import rules_by_task
  from fedot.core.repository.dataset_types import DataTypesEnum
  from fedot.core.repository.pipeline_operation_repository import PipelineOperationRepository
  from fedot.core.repository.tasks import Task, TaskTypesEnum, TaskParams, TsForecastingParams
label_desc: Use image node_id 9 for calling the ApiParams obj's underlying member method code with example usage: obj.init_optimizer_params(multi_objective) and returns: self