What are your requirements Fred ? in terms of maximum execution time ?
Predicting could be quite "fast" actually (think milliseconds) but depends
on your model and nber of features.
Timing a prediction code with timeit [1] should give you numbers for your
specific use case.
HTH,
[1] http://docs.python.org/2/library/timeit.html
2013/9/23 Fred Baba <[email protected]>
> I'd like to use classifiers trained via sklearn in a real-time
> application, performance critical application. How do I access the internal
> representation of trained classifiers?
>
> For linear classifiers/regressions, I can simply store the coefficients
> and generate the linear combination myself. For tree regressions, I can use
> sklearn.tree.export_graphviz. Ideally there would be an export facility for
> all classifiers (particularly for examining the structure of generated
> models). Is there a general solution way to do this?
>
>
>
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