I wouldn't remove bootstrapping. It is maybe not as commonly used as k-fold 
cross validation, but it is a quite established sampling technique. It would be 
good to keep this "sampling with replacement" alternative to cross validation.

Sebastian

> On Aug 17, 2014, at 11:55 AM, Arman Eshaghi <[email protected]> wrote:
> 
> I use it to get more stable results in cross validation, but I'm sure there 
> is a more important thing that I do not understand here, I will use 
> permutation (shuffle and split) from now on. 
> 
> Thanks
> Arman
> 
> 
>> On Fri, Aug 15, 2014 at 3:33 PM, Gael Varoquaux 
>> <[email protected]> wrote:
>> We haven't been able to understand where in the context of machine learning 
>> this object was useful. Could you please give us an example of use. 
>> 
>> Gaƫl
>> 
>> 
>> -------- Original message --------
>> From: Arman Eshaghi
>> Date:15/08/2014 11:31 (GMT+01:00)
>> To: [email protected]
>> Subject: [Scikit-learn-general] bootstrap depracation warning
>> 
>> Hi,
>> 
>> I'm wondering why I'm getting deprecation warnings for bootstrap 
>> `sklearn.cross_validation.Bootstrap` . It seems to be a very useful feature, 
>> so maybe you are trying to transfer the class to another place? I'm writing 
>> some code that I need to run for a long time and I would be very much 
>> interested to see what the plan is for future.
>> 
>> Thanks
>> Arman
>> 
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