 From a practical perspective, our method is very flexible and easy to use: In both steps, we can use any method of our choice , e.g., penalized regression, a deep net , or boosting;
<meaning-changed>  From a practical perspective, our method is very flexible and easy to use: In both steps, we can use any method of our choice , e.g., penalized regression, a deep net , or boosting;
 From a practical perspective, our method is very flexible and easy to use: In both steps, we can use any method of our choice , e.g., penalized regression, deep neutral networks , or boosting;