old_contents: """SVM
  
  An interface for scikit-learn's C-Support Vector Classifier model.
  """
  
  import sklearn.svm
  
  from libact.base.interfaces import Model
  
  class SVM(Model):
      """C-Support Vector Machine Classifier
  
      References
      ----------
      http://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html
      """
  
      def __init__(self, *args, **kwargs):
          self.model = sklearn.svm.SVC(*args, **kwargs)
  
      def train(self, dataset, *args, **kwargs):
          return self.model.fit(*(dataset.format_sklearn() + args), **kwargs)
  
      def predict(self, feature, *args, **kwargs):
          return self.model.predict(feature, *args, **kwargs)
  
      def score(self, testing_dataset, *args, **kwargs):
          return self.model.score(*(testing_dataset.format_sklearn() + args), **kwargs)
  
  
new_contents: """SVM
  
  An interface for scikit-learn's C-Support Vector Classifier model.
  """
  
  import sklearn.svm
  
  from libact.base.interfaces import Model
  
  class SVM(Model):
      """C-Support Vector Machine Classifier
  
      References
      ----------
      http://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html
      """
  
      def __init__(self, *args, **kwargs):
          self.model = sklearn.svm.SVC(*args, **kwargs)
  
      def train(self, dataset, *args, **kwargs):
          return self.model.fit(*(dataset.format_sklearn() + args), **kwargs)
  
      def predict(self, feature, *args, **kwargs):
          return self.model.predict(feature, *args, **kwargs)
  
      def score(self, testing_dataset, *args, **kwargs):
          return self.model.score(*(testing_dataset.format_sklearn() + args), **kwargs)
  
subject: remove tailing space'