Hi,
I am interested in LDBSCAN algorithm. It is an outlier detection
algorithm that uses local outlier factor + DBSCAN. Can i use it via
scikit or any way to implement it using scikit?
Cheers
--
Oğuz Yarımtepe
http://about.me/oguzy
--
no - SGDClassifier|SGDRegressor does not support per-feature learning rates
2013/1/28 Ronnie Ghose :
> Is there an adaptive learning rate per feature in sklearn?
>
> Ex.
>
> --adaptive: use per-feature adaptive learning rates; this is sensible for
> highly diverse and variable features
>
> from
>
Is there an adaptive learning rate per feature in sklearn?
Ex.
- --adaptive: use per-feature adaptive learning rates; this is sensible
for highly diverse and variable features
from
https://github.com/JohnLangford/vowpal_wabbit/wiki/Malicious-URL-example
2013/1/28 Eustache DIEMERT :
> I would be much interested.
>
> There are a few initiatives out there to interface VW with python, e.g.
>
> https://github.com/shilad/PyVowpal
>
> I haven't tested this one myself but I have the feeling that it's a proof of
> concept rather than a long term solution.
Hi Ariel:
There is one matlab implementation for spherical kmeans:
http://www.mathworks.com/matlabcentral/fileexchange/28902-spherical-k-means for
spherical kmeans and you can have a look at it :) That seems quite simple
and may be easily transformed into a python function.
Best,
Wei
On Fri, Jan
I would be much interested.
There are a few initiatives out there to interface VW with python, e.g.
https://github.com/shilad/PyVowpal
I haven't tested this one myself but I have the feeling that it's a proof
of concept rather than a long term solution.
One important point to keep in mind is th
