docstr: Refit model if use new test data
docstr_tok: ["Refit","model","if","use","new","test","data"]
code: def handle_new_data(self, input_data: InputData):
      """Refit model if use new test data"""
      if input_data.idx[0] > self.actual_ts_len:
          self.model = self.fit(input_data)
          self.log.info("STL Arima refitted for handling a new data")
  
imports: from copy import copy
  from typing import Optional
  import numpy
  from scipy import stats
  from scipy.special import boxcox, inv_boxcox
  from statsmodels.tsa.api import STLForecast
  from statsmodels.tsa.arima.model import ARIMA
  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
  from fedot.utilities.ts_gapfilling import SimpleGapFiller
label_desc: Use image node_id 5 for calling the STLForecastARIMAImplementation obj's underlying member method code with example usage: obj.handle_new_data(input_data) without return types