Hi Rex,

This is currently not supported in scikit-learn.

Gilles

On 12 September 2015 at 05:02, Rex X <dnsr...@gmail.com> wrote:
> Given categorical attributes, for instance
> city = ['a', 'b', 'c', 'd', 'e', 'f']
>
> With DictVectorizer(), we can transform "city" into a sparse matrix, using
> 1-of-k representation.
>
> But for each split, the decisionTree evaluate only one single attribute, say
> city == 'a' - True or False?
>
> What I want is to ask if the city is in a subset
> city.isin['a', 'b', 'c'] - True or False?
>
>
> As I know, the implementation of MLlib of spark can do this?
>
> Can we make do this within scikit-learn?
>
>
> Best,
> Rex
>
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