code: def classifier_multilabeloutputliblinear(
      fm_train_real=traindat,
      fm_test_real=testdat,
      label_train_multiclass=label_traindat,
      label_test_multiclass=label_testdat,
      width=2.1,
      C=1,
      epsilon=1e-5,
  ):
      from shogun import MulticlassLabels, MultilabelLabels
      import shogun as sg
  
      feats_train = sg.create_features(fm_train_real)
      feats_test = sg.create_features(fm_test_real)
  
      labels = MulticlassLabels(label_train_multiclass)
  
      classifier = sg.create_machine(
          "MulticlassLibLinear", C=C, labels=labels
      )
      classifier.train(feats_train)
  
label_desc: Use image node_id 1 for calling a global function with example usage: classifier_multilabeloutputliblinear(fm_train_real, fm_test_real, label_train_multiclass, label_test_multiclass, width, C, epsilon) without return types