Congrats to Vivek! And to Andreas for making this this challenge-winning
package possible :)
Best,
Wei
On Sun, Sep 23, 2012 at 3:41 AM, Vivek Sharma vive...@gmail.com wrote:
Thanks Olivier, Andreas. And, again to the text classification module
authors. sklearn rocks!
I think I was quite
Congrats!
2012/9/23 Wei LI kuant...@gmail.com
Congrats to Vivek! And to Andreas for making this this challenge-winning
package possible :)
Best,
Wei
On Sun, Sep 23, 2012 at 3:41 AM, Vivek Sharma vive...@gmail.com wrote:
Thanks Olivier, Andreas. And, again to the text classification
Am 23.09.2012 17:18, schrieb Wei LI:
Congrats to Vivek! And to Andreas for making this this
challenge-winning package possible :)
You should rather congratulate Olivier, as I think he wrote most of the
text code - and I didn't really write anything ;)
Best,
Wei
On Sun, Sep 23, 2012 at
Hello All,
I have two questions about predict_proba() method in sklearn.svm.NuSVC
and sklearn.svm.SVC
1. I am trying to understand how exactly this probability is calculated.
The document says probability model is created using cross validation
So I think to calculate probability it do cross
Thank you Olivier for these suggestions.
I'd try/test them with pleasure, but meanwhile I discovered that there
was just no way the dataset I was trying to use would ever fit in the
72GB of memory of the machine I'm using. So I just scaled it down, and
obviously this error is not happening
I think @glouppe is likely to contribute some evolution for the ensembles
of trees models once he gets back from ECML 2012 where he has a paper on
those issues.
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