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.
Many thanks!
Best regards,
Muhammad Asad
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