docstr: Method to update x samples inside a model (used when we want to use old model to a new data)
  
  :param input_data: new input_data
code: def handle_new_data(self, input_data: InputData):
      """
      Method to update x samples inside a model (used when we want to use old model to a new data)
  
      :param input_data: new input_data
      """
      if input_data.idx[0] > self.actual_ts_len:
          self.autoreg.model.endog = input_data.features[
              -self.actual_ts_len :
          ]
          self.autoreg.model._setup_regressors()
  
imports: from copy import copy
  import numpy
  import statsmodels.api
  from statsmodels.genmod.families import Gamma, Gaussian, InverseGaussian
  from statsmodels.genmod.families.links import identity, inverse_power, inverse_squared, log
  from statsmodels.genmod.generalized_linear_model import GLM
  from statsmodels.tsa.ar_model import AutoReg
  from statsmodels.tsa.exponential_smoothing.ets import ETSModel
  from fedot.core.data.data import InputData, OutputData
  from fedot.core.operations.evaluation.operation_implementations.data_operations.ts_transformations import ts_to_table
  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 7 for calling the AutoRegImplementation obj's underlying member method code with example usage: obj.handle_new_data(input_data) without return types