On 08/14/2013 02:00 PM, abhishek 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 someth
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 wrote:
> Hi,
>
> suppose we have a list of
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 Muell
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
hi,
Is there a classifier in scikit-leran that suports bag of feature vectors?
--
Regards
Abhishek Thakur
--
Get 100% visibility into Java/.NET code with AppDynamics Lite!
It's a free troubleshooting tool designed for p
