code: def learning_rate(self) -> float:
      return self.params.get("learning_rate")
  
imports: import numpy
  from golem.utilities.requirements_notificator import warn_requirement
  from fedot.core.data.data import InputData
  from fedot.core.operations.evaluation.operation_implementations.implementation_interfaces import ModelImplementation
  from fedot.core.operations.operation_parameters import OperationParameters
  from fedot.core.repository.dataset_types import DataTypesEnum
label_desc: Use image node_id 2 for calling the CGRUImplementation obj's underlying member method code with example usage: obj.learning_rate() and returns: self