title: Is it possible to use different classifiers in sklearn.ensemble?
body: <p>I have been learning sklearn.ensemble, for example, <code>
  clf =AdaBoostClassifier(svm.LinearSVC(),n_estimators=10,max_samples=0.1,)</code></p>
  
  <p>My question is whether I can use different classifiers as the <code>base_estimator</code>, because <code>base_estimator</code> can only accept one <code>Object</code>, if I want to use <code>LogisticRegression()</code> to continue classifying instances that are misclassified by  <code>LinearSVC()</code>, what should I do?
  Is it possible?</p>