code: def compute(self):
      Y_pred = self.mTrendFrame[self.mSignal].shift(1)
      return Y_pred
  
imports: import pandas
  import numpy
  from .None import Time
  from .None import Perf
  from .None import Plots
  from .None import Utils
  import sklearn
  import sklearn.preprocessing
  import sklearn.linear_model
  from sklearn.feature_selection import RFE
  from sklearn.linear_model import LinearRegression
label_desc: Use image node_id 5 for calling the cMovingAverageTrend obj's underlying member method code with example usage: obj.compute() and returns: Y_pred