Hi Ron.
Basically there is not a function to do that.
If you are familiar with the libsvm format and sklearn, it might be
possible to do by hand,
but non-trivial.
I guess your motivation is that training takes too long to repeat an
experiment?
It would probably take longer to code the loader ;)
But that's just my
.02 euro
Andy
On 07/24/2013 07:56 PM, Ron Kneusel wrote:
I want to switch to using sklearn svms but have existing model files
that were the output of the LIBSVM svm-train command line program. My
searching of the docs and net has turned up nothing. I can read
LIBSVM feature files with load_svmlight_file, but nothing about
existing model files (trained SVM classifiers).
Does anyone know how to read these model files into sklearn?
Thanks!
Ron
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