class_docstr: Args:
      operation_type: ``str`` of the operation defined in operation or data operation repositories
  
          .. details:: possible operations:
  
              - ``scaling``-> ScalingImplementation,
              - ``normalization``-> NormalizationImplementation,
              - ``simple_imputation``-> ImputationImplementation,
              - ``pca``-> PCAImplementation,
              - ``kernel_pca``-> KernelPCAImplementation,
              - ``poly_features``-> PolyFeaturesImplementation,
              - ``one_hot_encoding``-> OneHotEncodingImplementation,
              - ``label_encoding``-> LabelEncodingImplementation,
              - ``fast_ica``-> FastICAImplementation
  
      params: hyperparameters to fit the operation with
class_docstr_tok: ["Args",":","operation_type",":","``","str","``","of","the","operation","defined","in","operation","or","data","operation","repositories","..","details",":",":","possible","operations",":","-","``","scaling","``","-",">","ScalingImplementation",",","-","``","normalization","``","-",">","NormalizationImplementation",",","-","``","simple_imputation","``","-",">","ImputationImplementation",",","-","``","pca","``","-",">","PCAImplementation",",","-","``","kernel_pca","``","-",">","KernelPCAImplementation",",","-","``","poly_features","``","-",">","PolyFeaturesImplementation",",","-","``","one_hot_encoding","``","-",">","OneHotEncodingImplementation",",","-","``","label_encoding","``","-",">","LabelEncodingImplementation",",","-","``","fast_ica","``","-",">","FastICAImplementation","params",":","hyperparameters","to","fit","the","operation","with"]
code: def __init__(
      self,
      operation_type: str,
      params: Optional[OperationParameters] = None,
  ):
      self.operation_impl = self._convert_to_operation(operation_type)
      super().__init__(operation_type, params)
  
file_path: FEDOT/fedot/core/operations/evaluation/common_preprocessing.py
imports: import warnings
  from typing import Optional
  from fedot.core.data.data import InputData, OutputData
  from fedot.core.operations.evaluation.evaluation_interfaces import EvaluationStrategy
  from fedot.core.operations.evaluation.operation_implementations.data_operations.categorical_encoders import OneHotEncodingImplementation, LabelEncodingImplementation
  from fedot.core.operations.evaluation.operation_implementations.data_operations.sklearn_transformations import ImputationImplementation, KernelPCAImplementation, NormalizationImplementation, PCAImplementation, PolyFeaturesImplementation, ScalingImplementation, FastICAImplementation
  from fedot.core.operations.evaluation.operation_implementations.data_operations.topological.topological_extractor import TopologicalFeaturesImplementation
  from fedot.core.operations.operation_parameters import OperationParameters
  from fedot.utilities.random import ImplementationRandomStateHandler
label_desc: Use image node_id 1 to create a new FedotPreprocessingStrategy object from inherited base classes: EvaluationStrategy with example: obj = FedotPreprocessingStrategy(operation_type, params)