title: Adding python modules to AzureML workspace
body: <p>I've been working recently on deploying a machine learning model as a web service. I used Azure Machine Learning Studio for creating my own Workspace ID and Authorization Token. Then, I trained LogisticRegressionCV model from <strong>sklearn.linear_model</strong> locally on my machine (using python 2.7.13) and with the usage of below code snippet I wanted to publish my model as web service:</p>
  
  <pre><code>from azureml import services
  
  @services.publish('workspaceID','authorization_token')
  @services.types(var_1= float, var_2= float)
  @services.returns(int)
  
  def predicting(var_1, var_2):
      input = np.array([var_1, var_2].reshape(1,-1)
  return model.predict_proba(input)[0][1]
  </code></pre>
  
  <p>where <em>input</em> variable is a list with data to be scored and <em>model</em> variable contains trained classifier. Then after defining above function I want to make a prediction on sample input vector:</p>
  
  <pre><code>predicting.service(1.21, 1.34)
  </code></pre>
  
  <p>However following error occurs:</p>
  
  <pre><code>RuntimeError: Error 0085: The following error occurred during script 
  evaluation, please view the output log for more information:
  </code></pre>
  
  <p>And the most important message in log is: </p>
  
  <pre><code>AttributeError: 'module' object has no attribute 'LogisticRegressionCV'
  </code></pre>
  
  <p>The error is strange to me because when I was using normal <em>sklearn.linear_model.LogisticRegression</em> everything was fine. I was able to make predictions sending POST requests to created endpoint, so I guess <strong>sklearn</strong> worked correctly. 
  After changing to <em>LogisticRegressionCV</em> it does not. </p>
  
  <p>Therefore I wanted to update sklearn on my workspace.</p>
  
  <p>Do you have any ideas how to do it? Or even more general question: how to install any python module on azure machine learning studio in a way to use predict functions of any model I develpoed locally?</p>
  
  <p>Thanks</p>