title: Creating sframe logistic classifier
body: <p>I'm using graphlab-create to build a logistic classifier. My data is in an sframe (I've checked this using .dtype) This is for a Coursera class on machine learning using a zip file of Amazon reviews:</p>
  
  <pre><code>products = sframe.SFrame('amazon_baby.gl/'
  products = products[products['rating'] != 3]
  products['sentiment'] = products['rating'].apply(lambda rating : +1 if rating &gt; 3 else -1)
  </code></pre>
  
  <p>However when I run this code:</p>
  
  <pre><code>model = gl.logistic_classifier.create(train_data, target='sentiment')
  I get the error "ToolkitError: Input training dataset is not an SFrame. If it is a Pandas DataFrame, you may use the to_sframe() function to convert it to an SFrame."
  </code></pre>
  
  <p>Is there something I am missing?</p>