2011/12/24 xinfan meng :
> The TfidfTransformer return negative weights for terms appear in every
> documents. In http://en.wikipedia.org/wiki/Tf%E2%80%93idf they do mention
> negative weights, but I also doubt that would make sense. I actually
> already made a pull request. You can have a look at
The TfidfTransformer return negative weights for terms appear in every
documents. In http://en.wikipedia.org/wiki/Tf%E2%80%93idf they do mention
negative weights, but I also doubt that would make sense. I actually
already made a pull request. You can have a look at it.
On Sat, Dec 24, 2011 at 5:5
2011/12/24 xinfan meng :
> In the current implementation of TfidfTransformer. It is possible to have
> a negative tf-idf weight. In IR area, it probably make sense, but for the
> text classification task, I would probably never expect a negative value.
What do you mean? Does the TfidfTransforme
This is great.
I would just advise to contribute joblib fixes upstream, as it already
has some fixes.
Fabian
On 12/24/11, Olivier Grisel wrote:
> Hi all,
>
> In order to help us make scikit-learn work on python 3.x I have setup
> a new jenkins slave configuration to build the project using pyth
