On 12/03/2012 09:39 PM, Afik Cohen wrote:
No, we aren't doing multi-label classification, just multiclass. He was saying
we could just use SGDClassifier directly, which is true, but AFAIK there is no
way to get good prediction probability outputs on a per-class basis unless you
train binary
Thanks to Andreas I got it working now using a custom estimator for the
pipeline.
I am still struggling a bit to combine textual features (e.g., tfidf)
with other features that work well on their own.
At the moment, I am just concatanating them -- enlarging the vector.
The problem now is,
2012/12/4 Philipp Singer kill...@gmail.com:
Thanks to Andreas I got it working now using a custom estimator for the
pipeline.
I am still struggling a bit to combine textual features (e.g., tfidf)
with other features that work well on their own.
At the moment, I am just concatanating them --
Andreas Mueller amueller@... writes:
On 12/03/2012 09:39 PM, Afik Cohen wrote:
No, we aren't doing multi-label classification, just multiclass. He was
saying
we could just use SGDClassifier directly, which is true, but AFAIK there is
no
way to get good prediction probability outputs on
