title: Orange Data Mining version 3.3 (Python) Association Rules
body: <p>Orange Data Mining version 2.7 (Python) has the following example for Association Rules:</p>
  
  <pre><code>import Orange
  data = Orange.data.Table("market-basket.basket")
  
  rules = Orange.associate.AssociationRulesSparseInducer(data, support=0.3)
  print "%4s %4s  %s" % ("Supp", "Conf", "Rule")
  for r in rules[:5]:
      print "%4.1f %4.1f  %s" % (r.support, r.confidence, r)
  </code></pre>
  
  <p>However this does not work in Orange Data Mining version 3.3. How can I do this example in version 3.3? </p>
  
  <p><code>help(Orange)</code> was also not very helpful.</p>
  
  <p>I get:</p>
  
  <pre><code>AttributeError: 'module' object has no attribute 'associate'
  </code></pre>
  
  <p>on:</p>
  
  <pre><code>rules = Orange.associate.AssociationRulesSparseInducer(data, support=0.3)
  </code></pre>
  
  <p>Alternatively, when using the Association Rules widget in Oracle Canvas I'm not sure what widget can be used to display the output of the Association Rules widget.</p>