I think sklearn.feature_extraction.DictVectorizer is designed to handle
this sort of case, but produces a single array representing multiple
categorical variables, rather than a set of separate arrays.
- Joel
On Wed, Aug 14, 2013 at 10:00 PM, abhishek <[email protected]> wrote:
> Hi,
>
> suppose we have a list of numpy arrays. These numpy arrays are two
> dimensional and have equal number of columns but unequal number of rows. I
> dont think that scikit classifiers will work on these kind of features or
> maybe i'm missing something?
>
>
> On Wed, Aug 14, 2013 at 12:18 PM, Andreas Mueller <
> [email protected]> wrote:
>
>> On 08/14/2013 11:56 AM, abhishek wrote:
>> > hi,
>> >
>> > Is there a classifier in scikit-leran that suports bag of feature
>> vectors?
>> All classifiers work on numpy arrays, and many work on scipy sparse
>> matrices.
>> What is special about bag of feature representations that makes you ask
>> this question?
>>
>> Cheers,
>> Andy
>>
>>
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>
>
>
> --
> Regards
>
> Abhishek Thakur
>
>
>
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