On Sun, Jun 25, 2017 at 05:18:09PM +0530, Parminder Singh wrote:
> Hy Sci-kittens! :-)
Nice :).
FYI: there is work in progress to replace the OneHotEncoder, as it has
many strong limitations:
https://github.com/scikit-learn/scikit-learn/pull/9151
It might be useful to have a look at this PR to m
Hi,
hm, I think that dropping a column in onehot encoded features is quite uncommon
in machine learning practice -- based on the applications and implementations
I've seen. My guess is that the onehot encoded features are multicolinear
anyway!? There may be certain algorithms that benefit from
Hy Sci-kittens! :-)
I was doing machine learning a-z course on Udemy, there they told that
every time one-hot encoding is done, one of the columns should be
dropped as it is like doubling same category twice and redundant to
model. I thought if instead of having user find the index and drop it
