code: def fit(self, input_data: InputData):
      self.classes_ = np.unique(np.array(input_data.target))
      return super().fit(input_data=input_data)
  
imports: import os
  from typing import Optional
  import numpy
  import pandas
  from catboost import CatBoostClassifier, CatBoostRegressor, Pool
  from matplotlib import pyplot
  from fedot.core.data.data import InputData
  from fedot.core.data.data_split import train_test_data_setup
  from fedot.core.operations.evaluation.operation_implementations.implementation_interfaces import ModelImplementation
  from fedot.core.operations.operation_parameters import OperationParameters
  from fedot.core.utils import default_fedot_data_dir
label_desc: Use image node_id 2 for calling the FedotCatBoostClassificationImplementation obj's underlying member method code with example usage: obj.fit(input_data) and returns: super