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 wrote:
>
> Hi Sebastian,
>
> Indeed, N samples are drawn with replacement, where N=len(original
> training se
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 wrote:
> Thanks, Jeff, that was what I expected, b
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 wrote:
>
> Hi Sebastian,
>
> The bootstrap sample size is always the same as the input sample size. If you
> feel up to it, a pull
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
wrote:
> Hi, all,
>
> I am wondering what the sample s
