2013/12/19 Su, Jian, Ph.D. <[email protected]>:
> Zach,
>
> You can save a classifier with pickle, but you need to train the
> classifier after you load it, right?

No all the internal state of the classifier is preserved as well.

> As Ryan pointed out, joblib is the solution. One bad thing is it creates
> multiple files.

But on the other hand that makes it possible to dump and load it
faster and also makes it possible to memory map the large parameter
arrays by passing mmap_mode='r' to joblib.load for instance.

Memory mapping can be useful to share the memory of models loaded in
several python process (e.g. gunicorn wsgi workers or celery workers)
on the same server for instance (to reduce the overall memory usage).

-- 
Olivier
http://twitter.com/ogrisel - http://github.com/ogrisel

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