Ensamble methods with scikit-learn
Do you just want to do majority voting? This is not implemented afaik. But as I said, you can just average the predict_proba scores. Or you can use LabelBinarizer of the predictions and average those. That would implement a voting scheme.
Even if you are not interested in the probabilities, averaging the predicted probabilities might be more robust than doing a simple voting. This is hard to tell without trying out, though.
Is there any way to combine different classifiers into one in sklearn? I find sklearn.ensamble package. It contains different models, like AdaBoost and RandofForest, but they use decision trees under the hood and I want to use different methods, like SVM and Logistic regression. Is it possible with sklearn?