I will try to come up with a wrapper for the multi-label.
Thank you all for the answers and kind help. Scikit learn is really a very
vibrant project. :)
On 26 October 2011 17:03, Paolo Losi <[email protected]> wrote:
> Hi,
>
> On Wed, Oct 26, 2011 at 4:22 PM, SK Sn <[email protected]> wrote:
>
>> Hi there, I am looking into how to implement multi-label
>> text classification.
>> Generally, am training models just as normal multi-class classification,
>> but for predication/test, I want to make it multi-label, i.e. getting more
>> than one labels for predication on a given test item.
>>
>> The easiest way would be implementing a battery of one-vs-all classifiers,
>> which actually as I understand, is what happens under the hood when one uses
>> most of the classification methods for multi-class.
>>
>
> Another option that you could consider is to train n (where n is the number
> of labels)
> two-class (label on vs label off) classifiers.
>
> Hope this helps
>
> Paolo
>
>
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