Hi,
The difference between multi-label and multi-class is explained here
http://scikit-learn.org/stable/modules/multiclass.html
<http://scikit-learn.org/stable/modules/multiclass.html>
Basically to treat a problem as multi-class, you give a one dimensional
output vector and when you have a multi-label problem, you use
a 2 dimensional array of shape (n_samples, n_labels).
Best regards,
Arnaud Joly
> On 03 Jul 2015, at 14:48, Prabhanshu Abhishek <prabhans...@gmail.com> wrote:
>
>
> Sir,
> I am using Scikit-learn for large scale item classification, which is
> multiclass and multilabel. I was searching for module or function for
> implementing knn and random forest, but only i can find module for multiclass
> and single label.
> Can you please explain how to scikit learn for multi label and multiclass
> classification.
>
> Thanking you,
> Prabhanshu Abhishek
>
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