code: def trainRegressionWrapper(method, beat_feats, dirName, model_name):
      aT.feature_extraction_train_regression(
          dirName,
          1,
          1,
          aT.shortTermWindow,
          aT.shortTermStep,
          method.lower(),
          model_name,
          compute_beat=beat_feats,
      )
  
imports: from __future__ import print_function
  import argparse
  import os
  import numpy
  import glob
  import matplotlib.pyplot
  import ShortTermFeatures
  import MidTermFeatures
  import audioTrainTest
  import audioSegmentation
  import audioVisualization
  import audioBasicIO
  import scipy.io.wavfile
  import matplotlib.patches
label_desc: Use image node_id 10 for calling a global function with example usage: trainRegressionWrapper(method, beat_feats, dirName, model_name) without return types