On Thu, Jan 17, 2013 at 3:38 PM, Olivier Grisel <[email protected]>wrote:
> It sounds like a bug. How many tokens do you have in your corpus?
>
> If you have the vectorized corpus in a variable X (e.g. `X =
> CountVectorizer().fit_transform(list_of_documents)`) you can do:
>
> >>> print(repr(X))
>
> to get the dimension and number of non-zeros in the sparse matrix.
>
>
Hi Olivier ,
Here is the output for your reference.
<200000x72445 sparse matrix of type '<type 'numpy.int64'>'
with 2310906 stored elements in COOrdinate format>
> --
> **********************************
> JAGANADH G
> http://jaganadhg.in
> *ILUGCBE*
> http://ilugcbe.org.in
>
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