For unsupervised models that take a long time to train, such as deep
learning or word2vec based feature extractors, this can be pretty useful.
Regardless, a major issue is that we still haven't figured out how to
robustly solve model persistence.
Mathieu
On Wed, Jul 1, 2015 at 4:53 AM, Andreas Mueller <t3k...@gmail.com> wrote:
> For most applications, this will not work, as the training data needs to
> come from the same distribution as your test data.
> Language identification is pretty simple, and training a linear classifier
> on n-grams should get you quite a bit.
>
>
> On 06/28/2015 09:58 AM, Erez Segal wrote:
>
> I was searching a library of pre-trained models using scikit-learn (e.g. -
> a classifier for language identification),
> stored with joblib or something similiar.
> Is there such existing library?
> Thanks,
> Erez
>
>
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