Yes, unfortunately that's the nature of SVM. I  However, there have been 
implementations with on-line learning capabilities for SVM that are (promised 
to be) nearly as accurate as the batch learning variant. Maybe the partial_fit 
could be a useful task  for the GitHub "issue" list. Here would be some 
implementations of online learning SVMs that could be used for inspiration:

http://leon.bottou.org/projects/lasvm   
http://www.isn.ucsd.edu/svm/incremental/
http://www.cpdiehl.org/code.html
http://people.eng.unimelb.edu.au/shiltona/svm/

Best,
Sebastian

> On Dec 15, 2014, at 9:52 AM, Andy <t3k...@gmail.com> wrote:
> 
> On 12/14/2014 11:03 PM, Joel Nothman wrote:
>> If the estimator supports `partial_fit`, you can use that, repeatedly, 
>> instead of `fit`.
>> 
>> See documentation:
>> http://scikit-learn.org/stable/modules/scaling_strategies.html
>> http://scikit-learn.org/stable/auto_examples/cluster/plot_dict_face_patches.html
>> 
> If the classifier does not have "partial_fit", as is the case for the 
> SVC, then there is no way
> apart from refitting on the whole data, sorry.
> 
> ------------------------------------------------------------------------------
> Download BIRT iHub F-Type - The Free Enterprise-Grade BIRT Server
> from Actuate! Instantly Supercharge Your Business Reports and Dashboards
> with Interactivity, Sharing, Native Excel Exports, App Integration & more
> Get technology previously reserved for billion-dollar corporations, FREE
> http://pubads.g.doubleclick.net/gampad/clk?id=164703151&iu=/4140/ostg.clktrk
> _______________________________________________
> Scikit-learn-general mailing list
> Scikit-learn-general@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general


------------------------------------------------------------------------------
Download BIRT iHub F-Type - The Free Enterprise-Grade BIRT Server
from Actuate! Instantly Supercharge Your Business Reports and Dashboards
with Interactivity, Sharing, Native Excel Exports, App Integration & more
Get technology previously reserved for billion-dollar corporations, FREE
http://pubads.g.doubleclick.net/gampad/clk?id=164703151&iu=/4140/ostg.clktrk
_______________________________________________
Scikit-learn-general mailing list
Scikit-learn-general@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general

Reply via email to