code: def updatePerfs(self, compute_all_indicators=False):
      self.mModelFrame = pd.DataFrame()
      lSignal = self.mTrend.mSignalFrame[self.mSignal]
      N = lSignal.shape[0]
      self.mTrend.mTimeInfo.addVars(self.mModelFrame)
      df = self.forecastOneStepAhead(self.mModelFrame, perf_mode=True)
      self.mModelFrame = df.head(N)
      # print(self.mModelFrame.columns);
      lPrefix = self.mSignal + "_"
      lForecastColumnName = str(self.mOriginalSignal) + "_Forecast"
      lFitPerf = tsperf.cPerf()
      lForecastPerf = tsperf.cPerf()
      lTestPerf = tsperf.cPerf()
      # self.mModelFrame.to_csv(self.mOutName + "_model_perf.csv");
      (
          lFrameFit,
          lFrameForecast,
          lFrameTest,
      ) = self.mTrend.mSplit.cutFrame(self.mModelFrame)
  
      if compute_all_indicators:
          lFitPerf.compute(
              lFrameFit[self.mOriginalSignal],
              lFrameFit[lForecastColumnName],
              self.mOutName + "_Fit",
          )
          lForecastPerf.compute(
              lFrameForecast[self.mOriginalSignal],
              lFrameForecast[lForecastColumnName],
              self.mOutName + "_Forecast",
          )
          if lFrameTest.shape[0] > 0:
              lTestPerf.compute(
                  lFrameTest[self.mOriginalSignal],
                  lFrameTest[lForecastColumnName],
                  self.mOutName + "_Test",
              )
          pass
      else:
          lFitPerf.computeCriterion(
              lFrameFit[self.mOriginalSignal],
              lFrameFit[lForecastColumnName],
              self.mTimeInfo.mOptions.mModelSelection_Criterion,
              self.mOutName + "_Fit",
          )
          lForecastPerf.computeCriterion(
              lFrameForecast[self.mOriginalSignal],
              lFrameForecast[lForecastColumnName],
              self.mTimeInfo.mOptions.mModelSelection_Criterion,
              self.mOutName + "_Forecast",
          )
          if lFrameTest.shape[0] > 0:
              lTestPerf.computeCriterion(
                  lFrameTest[self.mOriginalSignal],
                  lFrameTest[lForecastColumnName],
                  self.mTimeInfo.mOptions.mModelSelection_Criterion,
                  self.mOutName + "_Test",
              )
  
      self.mFitPerf = lFitPerf
      self.mForecastPerf = lForecastPerf
      self.mTestPerf = lTestPerf
  
imports: import pandas
  import numpy
  from .None import PredictionIntervals
  from .None import Plots
  from .None import Perf
  from .None import Utils
label_desc: Use image node_id 5 for calling the cTimeSeriesModel obj's underlying member method code with example usage: obj.updatePerfs(compute_all_indicators) without return types