old_contents: from sklearn import svm
  from sklearn import datasets
  from sklearnserver import SKLearnModel
  import joblib
  import os
  
  model_dir = "/path/to/kfserving/docs/samples/sklearn"
  JOBLIB_FILE = "model.joblib"
  
  def test_model():
       iris = datasets.load_iris()
       X, y = iris.data, iris.target
       sklearn_model = svm.SVC(gamma='scale')
       sklearn_model.fit(X, y)
       model_file = os.path.join((model_dir),JOBLIB_FILE)
       joblib.dump(value=sklearn_model, filename=model_file)
       server = SKLearnModel("sklearnmodel", model_dir)
       server.load()
       request = X[0:1].tolist()
       response = server.predict(request)
       assert response == [0]
new_contents: from sklearn import svm
  from sklearn import datasets
  from sklearnserver import SKLearnModel
  import joblib
  import os
  
  model_dir = "../../docs/samples/sklearn"
  JOBLIB_FILE = "model.joblib"
  
  def test_model():
       iris = datasets.load_iris()
       X, y = iris.data, iris.target
       sklearn_model = svm.SVC(gamma='scale')
       sklearn_model.fit(X, y)
       model_file = os.path.join((model_dir),JOBLIB_FILE)
       joblib.dump(value=sklearn_model, filename=model_file)
       server = SKLearnModel("sklearnmodel", model_dir)
       server.load()
       request = X[0:1].tolist()
       response = server.predict(request)
       assert response == [0]
  
subject: fix sklearn tests with the correct model_dir (#98)