title: scikit-learn - ROC curve with confidence intervals
body: <p>I am able to get a ROC curve using <code>scikit-learn</code> with
  <code>fpr</code>, <code>tpr</code>, <code>thresholds = metrics.roc_curve(y_true,y_pred, pos_label=1)</code>, where <code>y_true</code> is a list of values based on my gold standard (i.e., <code>0</code> for negative and <code>1</code> for positive cases) and <code>y_pred</code> is a corresponding list of scores (e.g., <code>0.053497243</code>, <code>0.008521122</code>, <code>0.022781548</code>, <code>0.101885263</code>, <code>0.012913795</code>, <code>0.0</code>, <code>0.042881547</code> [...])</p>
  
  <p>I am trying to figure out how to add confidence intervals to that curve, but didn't find any easy way to do that with sklearn.</p>