Hi Sebastian,
Indeed, N samples are drawn with replacement, where N=len(original
training set). I guess we could add an extra max_samples parameter,
just like we have for the Bagging estimators.
Gilles
On 6 July 2015 at 23:00, Sebastian Raschka se.rasc...@gmail.com wrote:
Thanks, Jeff, that
Thanks, Gilles,
I think that's a good idea! It would make the implementation more flexible
and would add clarity as well!
Best,
Sebastian
On Jul 9, 2015, at 2:35 PM, Gilles Louppe g.lou...@gmail.com wrote:
Hi Sebastian,
Indeed, N samples are drawn with replacement, where N=len(original
Thanks, Jeff, that was what I expected, but I just wanted to make sure. I will
add a note via a pull request later.
On Jul 6, 2015, at 3:52 PM, Jeff Blackburne jblackbu...@gmail.com wrote:
Hi Sebastian,
The bootstrap sample size is always the same as the input sample size. If you
feel
Hi, all,
I am wondering what the sample size of the bootstrap samples are in the
RandomForestClassifier/Regressor (if bootstrap=True, default setting). From the
documentation
Hi Sebastian,
The bootstrap sample size is always the same as the input sample size. If
you feel up to it, a pull request updating the documentation would probably
be quite welcome.
-Jeff
On Mon, Jul 6, 2015 at 12:21 PM, Sebastian Raschka se.rasc...@gmail.com
wrote:
Hi, all,
I am wondering