title: H2O deeplearning with class imbalance
body: <p>I am using the H2O deeplearning Feed Forward Deep Neural network for doing a binary classification. My classes are  highly imbalanced and I want to use the parameters like    </p>
  
  <blockquote>
    <p>balance_classes, class_sampling_factors </p>
  </blockquote>
  
  <p>Can any body give me a reproducible example about how to specifically intialize these parameters to handle class imbalance problems.</p>