Hi Ariel.
We are not storing them any more because of memory issues, but you can
recover them using the random state of the tree:
https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/ensemble/forest.py#L76
> indices = _generate_sample_indices(tree.random_state, n_samples)
Hth,
Andy
On 03/04/2016 07:04 PM, Ariel Rokem wrote:
Hi everyone,
Is there some way to identify the samples that were used in
constructing each tree in a RandomForest* object?
I am looking for the equivalent of "keep.inbag" in this R
implementation:
http://math.furman.edu/~dcs/courses/math47/R/library/randomForest/html/randomForest.html
<http://math.furman.edu/%7Edcs/courses/math47/R/library/randomForest/html/randomForest.html>
Thanks!
Ariel
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