code: def __init__(
      self,
      operation_type: str,
      params: Optional[OperationParameters] = None,
  ):
      self.operation_impl = self._convert_to_operation(operation_type)
      self.model_class = H2OSerializationWrapper
      super().__init__(operation_type, params)
  
imports: from typing import Optional
  import numpy
  from h2o import h2o, H2OFrame
  from h2o.automl import H2OAutoML
  from tpot import TPOTClassifier, TPOTRegressor
  from fedot.core.data.data import InputData, OutputData
  from fedot.core.operations.evaluation.evaluation_interfaces import EvaluationStrategy
  from fedot.core.operations.operation_parameters import OperationParameters
  from fedot.core.pipelines.automl_wrappers import H2OSerializationWrapper, TPOTRegressionSerializationWrapper
  from fedot.core.repository.tasks import TaskTypesEnum
label_desc: Use image node_id 1 to create a new H2OAutoMLClassificationStrategy object from inherited base classes: EvaluationStrategy with example: obj = H2OAutoMLClassificationStrategy(operation_type, params)