code: import h5py
  import os
  import numpy as np
  
  base_path = os.path.dirname(os.path.realpath(__file__))
  feature_file = '/media/uttaran/FCE1-7BF3/Gamma/Gait/classifier_stgcn/model_classifier_stgcn/featuresCombineddeep_features.txt'
  f = np.loadtxt(feature_file)
  fCombined = h5py.File('/media/uttaran/FCE1-7BF3/Gamma/Gait/data/featuresCombined.h5', 'r')
  fkeys = fCombined.keys()
  dfCombined = h5py.File('/media/uttaran/FCE1-7BF3/Gamma/Gait/data/deepFeaturesCombined.h5', 'w')
  for i, fkey in enumerate(fkeys):
      fname = [fkey][0]
      feature = f[i, :]
      dfCombined.create_dataset(fname, data=feature)
  dfCombined.close()
  
apis: numpy.loadtxt