Another take on my previous question is this other question:
Is fitting a LabelEncoder on the *entire* dataset (instead of only on
the training set) an equivalent sin (i.e. a common ML mistake) as
say doing so with a Scaler or some other preprocessing technique?
If the answer is yes (which is
Hi,
at Blue Yonder we often use Scikit-Learn but are sometimes missing
more robust regression methods that are not based on the L2 norm.
So far I only knew Theil-Sen as a linear regression method with only a
single explanatory variable. The work of Xin Dang, Hanxiang Peng,
Xueqin Wang and Heping
hi,
did you try SVR ? eventually setting epsilon to 0.?
if it's too slow have a look at lightning new LinearSVR estimator.
Alex
On Sat, Jan 11, 2014 at 7:28 PM, florian.wilh...@gmail.com
florian.wilh...@gmail.com wrote:
Hi,
at Blue Yonder we often use Scikit-Learn but are sometimes
