Could you perhaps clarify what you would want to use this for?
AFAIK the scikit-learn doesn't explicitly implement those techniques but
perhaps it can be done
another way through some of the existing implementations, like useing
class_weights or re-calibration - if it has to do with imbalanced data for
classification for example.
Hope this helps.
J
2012/7/25 Sheila the angel <[email protected]>
> yes that is what I am looking for
> http://en.wikipedia.org/wiki/Oversampling_and_undersampling_in_data_analysis
> Also in the reference
> http://nd.edu/~dial/papers/SPRINGER05.pdf<http://nd.edu/~dial/papers/SPRINGER05.pdf>
> (though I haven't read it fully)
>
> On Wed, Jul 25, 2012 at 4:16 PM, Jaques Grobler
> <[email protected]>wrote:
>
>> @Sheila
>>
>> Are you referring to this type of thing?
>>
>>
>> http://en.wikipedia.org/wiki/Oversampling_and_undersampling_in_data_analysis
>>
>>
>>
>> 2012/7/25 Gael Varoquaux <[email protected]>
>>
>>> On Wed, Jul 25, 2012 at 02:13:41PM +0200, Sheila the angel wrote:
>>> > I would like to know are oversampling and undersampling methods
>>> > implemented in sklearn???
>>>
>>> I don't know what you mean by oversampling and undersampling. Could you
>>> detail.
>>>
>>> Gael
>>>
>>>
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