It's not clear to me that OneHotEncoder solved the problem. Maybe you can
explain further. The example
here<http://scikit-learn.org/0.13/modules/preprocessing.html>only
shows the algorithm transforming categorical integer values. Can the
algorithm take in a data set of text like categorical values like "male",
"female" and transform it.? The example gave me the impression that I had
to transform the text to integers, then use OneHotEncoder.
Anne Dwyer
On Sat, Mar 30, 2013 at 4:14 AM, <[email protected]> wrote:
> i thought OneHotEncoder solves that.
>
>
>
> Lars Buitinck <[email protected]> schrieb:
>
>> 2013/3/27 Anne Dwyer <[email protected]>:
>>
>>> Just to clarify, you are saying that there is no procedure in scikit that
>>> will transform categorical feature values into numerical values like I was
>>> trying to do here. Correct?
>>
>>
>> Not that I know of. DictVectorizer comes quite close, though.
>>
>>
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