new_contents: from sklearn.svm import SVR
  
  class randomforest:
      def __init__(self, n_trees = 500, n_jobs = -1):
          self.model = SVR(kernel='rbf', C=1e3, gamma=0.1)
          RandomForestRegressor(n_estimators = n_trees, oob_score = True, random_state=1, n_jobs=n_jobs)
      
      def train(self, input_descriptors, target_values):
          self.model.fit(input_descriptors, target_values)
      
      def predict(self, input_descriptors):
           return self.model.predict(input_descriptors)
  
subject: Add Support Vector Machines