code: def svr_untuned_predictions(x_train, y_train, x_test, y_test):
      model = sklearn.svm.SVR().fit(x_train, y_train)
      return model.predict(x_test).tolist()
  
file_path: optunity/bin/examples/python/sklearn/svr.py
imports: import math
  import itertools
  import optunity
  import optunity.metrics
  import sklearn.svm
  import matplotlib.pylab
  import time
  from sklearn.datasets import load_diabetes
label_desc: Use image node_id 3 for calling a global function with example usage: svr_untuned_predictions(x_train, y_train, x_test, y_test) and returns: model