What do you mean by all the values that make up a leaf node? If you mean
all the samples, isn't apply sufficient?
On 15 October 2014 06:20, M Asad <masad....@gmail.com> wrote:
> 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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