title: Question: Model dowloading with custom vision & python API
body: <p>i am new to Microsoft Custom Vision and I am working on an intergration of Microsoft Azure Custom Vision API using jupyter notebooks/python. I was able to upload images, tag them automatically and train the first iterations. However, as I was trying to download a Docker file of the train iteration/model I got stuck while trying to export the model. Using the function <strong>export_iteration</strong> I ended up having an <strong>mst.rest.pipeline.clientrawresponse object</strong>. I think currently it is only stored in the exporting queue. How do I access this queue element to download it to my local system?</p>
  
  <p>PS: I am working with a General (compact) model format so it should be exportable. </p>
  
  <p>Example code: </p>
  
  <pre><code># Initalize the Training Client 
  training_key = "your-training-key"
  ENDPOINT = "your-endpoint" 
  
  c_plat = CustomVisionTrainingClient(training_key,ENDPOINT)
  # List all projects you have
  projects = c_plat.get_projects()
  
  #Always take the newest project and its newest iteration and export it 
  iterations = c_plat.get_iterations(projects[0].id)
  c_plat.export_iteration(project_id=projects[0].id, iteration_id=iterations[0].id, platform = "DockerFile", raw=True, flavor = "ARM")
  
  </code></pre>