Any penalized ensemble classifiers in Scikit-learn that result in sparse solutions?

Is there an ensemble classifier that results in sparse solutions for the feature vector like Lasso Regression? With Logistic Regression, I can choose L1 penalization from the penalty hyperparameter. Is my only option to build an ensemble with VotingClassifier to do this or is there an out-of-the-box ensemble classifier in sklearn that is known to produce sparse solutions?

• I removed a bunch of backticks from your question text. Those are for denoting identifiers or code. Oct 11 '16 at 19:21
• Why do you specifically want an ensemble method? Is lasso regression not doing what you want somehow? Oct 11 '16 at 19:22
• SVM with L1 may be good for your use, but cannot think about a ensemble methods for that. Oct 11 '16 at 20:02
• Sorry I went trigger happy happy the ticks. Lasso regression is usually for predicting continuous values right? I need something to predict class. Do you mean throwing the output into a logit function? I wanted to use an ensemble method b/c I read that they are much more robust. Oct 11 '16 at 20:43