2014-10-14 15:20 GMT-04:00 M Asad <masad....@gmail.com>: > Hi, > > I am kind of new to scikit, however I have learned a alot of things now. > > I am using scikit.ensemble.RandomForestRegressor to train on a data and > predict using some input samples later. > What I am trying to do now is to access the actual values that make up each > leaf node. > > I have managed to get the index of each leaf node used for prediction by > using apply() function > And I can also access the prediction value by calling > forestReg.estimators_[i].tree_.value[j] where i is the tree index and j is > the index of the leaf node. > > Does anyone have any idea how I can get all the values that make up a leaf > node? I have set min_samples_leaf = 5 so each leaf node comprises of at > least 5 samples.
I am not exactly sure about what you are trying to do but maybe having a look at the source code of the `predict` method of the trees will help: https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/tree/_tree.pyx#L2417 -- Olivier ------------------------------------------------------------------------------ Comprehensive Server Monitoring with Site24x7. Monitor 10 servers for $9/Month. Get alerted through email, SMS, voice calls or mobile push notifications. Take corrective actions from your mobile device. http://p.sf.net/sfu/Zoho _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
