We are working on CategoricalEncoder in
https://github.com/scikit-learn/scikit-learn/pull/9151 to help users more
with this kind of thing. Feedback and testing is welcome.
On 6 August 2017 at 02:13, Sebastian Raschka wrote:
> Hi, Georg,
>
> I bring this up every time here on the mailing list :),
Hi, Georg,
I bring this up every time here on the mailing list :), and you probably aware
of this issue, but it makes a difference whether your categorical data is
nominal or ordinal. For instance if you have an ordinal variable like with
values like {small, medium, large} you probably want to
Hi,
the LabelEncooder is only meant for a single column i.e. target variable.
Is the DictVectorizeer or a manual chaining of multiple LabelEncoders (one
per categorical column) the desired way to get values which can be fed into
a subsequent classifier?
Is there some way I have overlooked which w
