code: def predict(self, input_data: InputData):
      prediction = self.model.predict(
          input_data.get_not_encoded_data().features
      )
  
      return prediction
  
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 3 for calling the FedotCatBoostImplementation obj's underlying member method code with example usage: obj.predict(input_data) and returns: prediction