title: how to get reproducible splits using LassoLarsCV in sklearn?
body: <p>If I fit a <code>LassoCV</code> using <code>sklearn</code>, I can do</p>
  
  <pre><code>    model_LassoCV = LassoCV(cv=3,random_state=2018).fit(X, y)
  </code></pre>
  
  <p>and get reproducible splits for the cross-validation.
  However, if I do</p>
  
  <pre><code>    model_LassoCV = LassoLarsCV(cv=3,random_state=2018).fit(X, y)
  </code></pre>
  
  <p>according to the documentation, <code>LassoLarsCV</code> does not have a <code>random_state</code>.
  So how to get reproducible results with <code>LassoLarsCV</code> ?</p>