title: How can we interpret feature importances for Stochastic Gradient Descent Classifier?
body: <p>I have a SGDClassifier model trained with scikit-learn. I extract features names with <code>.get_feature_names()</code> and coefficients with <code>.coef_</code></p>
  <p>I combine the 2 columns in a dataframe like this :</p>
  <pre><code>feature     value
  hiroshima   3.918584
  wildfire    3.287680
  earthquake  3.256817
  massacre    3.186762
  storm       3.124809
  ...         ...
  job         -1.696438
  song        -1.736640   
  as          -1.956571   
  nowplaying  -2.028240   
  write       -2.263968
  </code></pre>
  <p>I want to know how I can interpret the features importances ?
  What does a positive high value mean?
  What does a low negative value mean?</p>