Hi Siddhant, currently, we only provide two ensemble techniques: Random/Extra Forest and Gradient Boosted Regression Trees - both use decision trees as weak learners. Gradient Boosting itself can be used with different base learners but AFAIK it hardly is*.
Unfortunately, scikit-learn lacks classical ensemble technique such as Bagging or AdaBoost (there is a PR for AdaBoost though [1]); what kind of techniques are you looking for (stacking, bagging, adaboost, ..)? best, Peter [1] https://github.com/scikit-learn/scikit-learn/pull/522 * mboost, http://cran.r-project.org/web/packages/mboost/index.html, does component-wise (penalised) least squares too. 2012/10/15 Siddhant Goel <[email protected]>: > Hi people, > > Does scikit-learn support plugging in user defined classifiers in its > ensemble learning framework? I went through the documentation but could only > find decision trees being used a weak learners. Is it possible to define our > own classifiers and then use an ensemble learning strategy using scikit? > Thanks! > > Siddhant > ------------------------------------------------------------------------------ > Don't let slow site performance ruin your business. Deploy New Relic APM > Deploy New Relic app performance management and know exactly > what is happening inside your Ruby, Python, PHP, Java, and .NET app > Try New Relic at no cost today and get our sweet Data Nerd shirt too! > http://p.sf.net/sfu/newrelic-dev2dev > _______________________________________________ > Scikit-learn-general mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general -- Peter Prettenhofer ------------------------------------------------------------------------------ Don't let slow site performance ruin your business. Deploy New Relic APM Deploy New Relic app performance management and know exactly what is happening inside your Ruby, Python, PHP, Java, and .NET app Try New Relic at no cost today and get our sweet Data Nerd shirt too! http://p.sf.net/sfu/newrelic-dev2dev _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
